Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03.yml +72 -0
- README.md +173 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- checkpoint-158/README.md +202 -0
- checkpoint-158/adapter_config.json +34 -0
- checkpoint-158/adapter_model.safetensors +3 -0
- checkpoint-158/optimizer.pt +3 -0
- checkpoint-158/rng_state.pth +3 -0
- checkpoint-158/scheduler.pt +3 -0
- checkpoint-158/special_tokens_map.json +38 -0
- checkpoint-158/tokenizer.json +0 -0
- checkpoint-158/tokenizer_config.json +0 -0
- checkpoint-158/trainer_state.json +1219 -0
- checkpoint-158/training_args.bin +3 -0
- checkpoint-237/README.md +202 -0
- checkpoint-237/adapter_config.json +34 -0
- checkpoint-237/adapter_model.safetensors +3 -0
- checkpoint-237/optimizer.pt +3 -0
- checkpoint-237/rng_state.pth +3 -0
- checkpoint-237/scheduler.pt +3 -0
- checkpoint-237/special_tokens_map.json +38 -0
- checkpoint-237/tokenizer.json +0 -0
- checkpoint-237/tokenizer_config.json +0 -0
- checkpoint-237/trainer_state.json +1812 -0
- checkpoint-237/training_args.bin +3 -0
- checkpoint-316/README.md +202 -0
- checkpoint-316/adapter_config.json +34 -0
- checkpoint-316/adapter_model.safetensors +3 -0
- checkpoint-316/optimizer.pt +3 -0
- checkpoint-316/rng_state.pth +3 -0
- checkpoint-316/scheduler.pt +3 -0
- checkpoint-316/special_tokens_map.json +38 -0
- checkpoint-316/tokenizer.json +0 -0
- checkpoint-316/tokenizer_config.json +0 -0
- checkpoint-316/trainer_state.json +2405 -0
- checkpoint-316/training_args.bin +3 -0
- checkpoint-395/README.md +202 -0
- checkpoint-395/adapter_config.json +34 -0
- checkpoint-395/adapter_model.safetensors +3 -0
- checkpoint-395/optimizer.pt +3 -0
- checkpoint-395/rng_state.pth +3 -0
- checkpoint-395/scheduler.pt +3 -0
- checkpoint-395/special_tokens_map.json +38 -0
- checkpoint-395/tokenizer.json +0 -0
- checkpoint-395/tokenizer_config.json +0 -0
- checkpoint-395/trainer_state.json +2998 -0
- checkpoint-395/training_args.bin +3 -0
- checkpoint-474/README.md +202 -0
- checkpoint-474/adapter_config.json +34 -0
Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03.yml
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 2 |
+
model_type: AutoModelForCausalLM
|
| 3 |
+
tokenizer_type: AutoTokenizer
|
| 4 |
+
|
| 5 |
+
load_in_8bit: false
|
| 6 |
+
load_in_4bit: false
|
| 7 |
+
strict: false
|
| 8 |
+
|
| 9 |
+
datasets:
|
| 10 |
+
- path: /workspace/axolotl/vinh/PAL/input_output_qwen.json
|
| 11 |
+
type: input_output
|
| 12 |
+
- path: /workspace/axolotl/vinh/INSTRUCT/input_output_qwen.json
|
| 13 |
+
type: input_output
|
| 14 |
+
dataset_prepared_path:
|
| 15 |
+
val_set_size: 0.05
|
| 16 |
+
eval_sample_packing: false
|
| 17 |
+
output_dir: /workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03
|
| 18 |
+
|
| 19 |
+
sequence_len: 2048
|
| 20 |
+
sample_packing: false
|
| 21 |
+
pad_to_sequence_len: false
|
| 22 |
+
|
| 23 |
+
adapter: lora
|
| 24 |
+
lora_model_dir:
|
| 25 |
+
lora_r: 64
|
| 26 |
+
lora_alpha: 128
|
| 27 |
+
lora_dropout: 0.05
|
| 28 |
+
lora_target_linear: true
|
| 29 |
+
lora_fan_in_fan_out:
|
| 30 |
+
|
| 31 |
+
wandb_project:
|
| 32 |
+
wandb_entity:
|
| 33 |
+
wandb_watch:
|
| 34 |
+
wandb_name:
|
| 35 |
+
wandb_log_model:
|
| 36 |
+
|
| 37 |
+
gradient_accumulation_steps: 128
|
| 38 |
+
micro_batch_size: 1
|
| 39 |
+
num_epochs: 3
|
| 40 |
+
optimizer: paged_adamw_32bit
|
| 41 |
+
lr_scheduler: cosine
|
| 42 |
+
learning_rate: 2e-4
|
| 43 |
+
|
| 44 |
+
train_on_inputs: false
|
| 45 |
+
group_by_length: false
|
| 46 |
+
bf16: auto
|
| 47 |
+
fp16:
|
| 48 |
+
tf32: false
|
| 49 |
+
|
| 50 |
+
gradient_checkpointing: false
|
| 51 |
+
early_stopping_patience:
|
| 52 |
+
resume_from_checkpoint:
|
| 53 |
+
local_rank:
|
| 54 |
+
logging_steps: 1
|
| 55 |
+
xformers_attention:
|
| 56 |
+
flash_attention: true
|
| 57 |
+
s2_attention:
|
| 58 |
+
|
| 59 |
+
loss_watchdog_threshold: 5.0
|
| 60 |
+
loss_watchdog_patience: 3
|
| 61 |
+
|
| 62 |
+
warmup_steps: 10
|
| 63 |
+
evals_per_epoch: 10
|
| 64 |
+
eval_table_size:
|
| 65 |
+
eval_max_new_tokens: 512
|
| 66 |
+
saves_per_epoch: 2
|
| 67 |
+
save_total_limit: 20
|
| 68 |
+
debug:
|
| 69 |
+
deepspeed:
|
| 70 |
+
weight_decay: 0.0
|
| 71 |
+
fsdp:
|
| 72 |
+
fsdp_config:
|
README.md
ADDED
|
@@ -0,0 +1,173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 3 |
+
library_name: peft
|
| 4 |
+
license: other
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
model-index:
|
| 8 |
+
- name: workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
| 16 |
+
<details><summary>See axolotl config</summary>
|
| 17 |
+
|
| 18 |
+
axolotl version: `0.4.1`
|
| 19 |
+
```yaml
|
| 20 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 21 |
+
model_type: AutoModelForCausalLM
|
| 22 |
+
tokenizer_type: AutoTokenizer
|
| 23 |
+
|
| 24 |
+
load_in_8bit: false
|
| 25 |
+
load_in_4bit: false
|
| 26 |
+
strict: false
|
| 27 |
+
|
| 28 |
+
datasets:
|
| 29 |
+
- path: /workspace/axolotl/vinh/PAL/input_output_qwen.json
|
| 30 |
+
type: input_output
|
| 31 |
+
- path: /workspace/axolotl/vinh/INSTRUCT/input_output_qwen.json
|
| 32 |
+
type: input_output
|
| 33 |
+
dataset_prepared_path:
|
| 34 |
+
val_set_size: 0.05
|
| 35 |
+
eval_sample_packing: false
|
| 36 |
+
output_dir: /workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03
|
| 37 |
+
|
| 38 |
+
sequence_len: 2048
|
| 39 |
+
sample_packing: false
|
| 40 |
+
pad_to_sequence_len: false
|
| 41 |
+
|
| 42 |
+
adapter: lora
|
| 43 |
+
lora_model_dir:
|
| 44 |
+
lora_r: 64
|
| 45 |
+
lora_alpha: 128
|
| 46 |
+
lora_dropout: 0.05
|
| 47 |
+
lora_target_linear: true
|
| 48 |
+
lora_fan_in_fan_out:
|
| 49 |
+
|
| 50 |
+
wandb_project:
|
| 51 |
+
wandb_entity:
|
| 52 |
+
wandb_watch:
|
| 53 |
+
wandb_name:
|
| 54 |
+
wandb_log_model:
|
| 55 |
+
|
| 56 |
+
gradient_accumulation_steps: 128
|
| 57 |
+
micro_batch_size: 1
|
| 58 |
+
num_epochs: 3
|
| 59 |
+
optimizer: paged_adamw_32bit
|
| 60 |
+
lr_scheduler: cosine
|
| 61 |
+
learning_rate: 2e-4
|
| 62 |
+
|
| 63 |
+
train_on_inputs: false
|
| 64 |
+
group_by_length: false
|
| 65 |
+
bf16: auto
|
| 66 |
+
fp16:
|
| 67 |
+
tf32: false
|
| 68 |
+
|
| 69 |
+
gradient_checkpointing: false
|
| 70 |
+
early_stopping_patience:
|
| 71 |
+
resume_from_checkpoint:
|
| 72 |
+
local_rank:
|
| 73 |
+
logging_steps: 1
|
| 74 |
+
xformers_attention:
|
| 75 |
+
flash_attention: true
|
| 76 |
+
s2_attention:
|
| 77 |
+
|
| 78 |
+
loss_watchdog_threshold: 5.0
|
| 79 |
+
loss_watchdog_patience: 3
|
| 80 |
+
|
| 81 |
+
warmup_steps: 10
|
| 82 |
+
evals_per_epoch: 10
|
| 83 |
+
eval_table_size:
|
| 84 |
+
eval_max_new_tokens: 512
|
| 85 |
+
saves_per_epoch: 2
|
| 86 |
+
save_total_limit: 20
|
| 87 |
+
debug:
|
| 88 |
+
deepspeed:
|
| 89 |
+
weight_decay: 0.0
|
| 90 |
+
fsdp:
|
| 91 |
+
fsdp_config:
|
| 92 |
+
|
| 93 |
+
```
|
| 94 |
+
|
| 95 |
+
</details><br>
|
| 96 |
+
|
| 97 |
+
# workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03
|
| 98 |
+
|
| 99 |
+
This model is a fine-tuned version of [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) on the None dataset.
|
| 100 |
+
It achieves the following results on the evaluation set:
|
| 101 |
+
- Loss: 0.1189
|
| 102 |
+
|
| 103 |
+
## Model description
|
| 104 |
+
|
| 105 |
+
More information needed
|
| 106 |
+
|
| 107 |
+
## Intended uses & limitations
|
| 108 |
+
|
| 109 |
+
More information needed
|
| 110 |
+
|
| 111 |
+
## Training and evaluation data
|
| 112 |
+
|
| 113 |
+
More information needed
|
| 114 |
+
|
| 115 |
+
## Training procedure
|
| 116 |
+
|
| 117 |
+
### Training hyperparameters
|
| 118 |
+
|
| 119 |
+
The following hyperparameters were used during training:
|
| 120 |
+
- learning_rate: 0.0002
|
| 121 |
+
- train_batch_size: 1
|
| 122 |
+
- eval_batch_size: 1
|
| 123 |
+
- seed: 42
|
| 124 |
+
- gradient_accumulation_steps: 128
|
| 125 |
+
- total_train_batch_size: 128
|
| 126 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 127 |
+
- lr_scheduler_type: cosine
|
| 128 |
+
- lr_scheduler_warmup_steps: 10
|
| 129 |
+
- num_epochs: 3
|
| 130 |
+
|
| 131 |
+
### Training results
|
| 132 |
+
|
| 133 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 134 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 135 |
+
| 0.6497 | 0.0063 | 1 | 0.5999 |
|
| 136 |
+
| 0.2252 | 0.1011 | 16 | 0.2502 |
|
| 137 |
+
| 0.2024 | 0.2023 | 32 | 0.2020 |
|
| 138 |
+
| 0.1581 | 0.3034 | 48 | 0.1804 |
|
| 139 |
+
| 0.1912 | 0.4045 | 64 | 0.1682 |
|
| 140 |
+
| 0.1692 | 0.5056 | 80 | 0.1580 |
|
| 141 |
+
| 0.1401 | 0.6068 | 96 | 0.1516 |
|
| 142 |
+
| 0.1204 | 0.7079 | 112 | 0.1463 |
|
| 143 |
+
| 0.1336 | 0.8090 | 128 | 0.1420 |
|
| 144 |
+
| 0.1339 | 0.9101 | 144 | 0.1380 |
|
| 145 |
+
| 0.101 | 1.0113 | 160 | 0.1346 |
|
| 146 |
+
| 0.0871 | 1.1124 | 176 | 0.1330 |
|
| 147 |
+
| 0.1035 | 1.2135 | 192 | 0.1320 |
|
| 148 |
+
| 0.1025 | 1.3146 | 208 | 0.1300 |
|
| 149 |
+
| 0.0936 | 1.4158 | 224 | 0.1263 |
|
| 150 |
+
| 0.0797 | 1.5169 | 240 | 0.1241 |
|
| 151 |
+
| 0.1014 | 1.6180 | 256 | 0.1220 |
|
| 152 |
+
| 0.0984 | 1.7191 | 272 | 0.1196 |
|
| 153 |
+
| 0.1078 | 1.8203 | 288 | 0.1184 |
|
| 154 |
+
| 0.0803 | 1.9214 | 304 | 0.1171 |
|
| 155 |
+
| 0.0658 | 2.0225 | 320 | 0.1164 |
|
| 156 |
+
| 0.0517 | 2.1236 | 336 | 0.1214 |
|
| 157 |
+
| 0.0598 | 2.2248 | 352 | 0.1203 |
|
| 158 |
+
| 0.0704 | 2.3259 | 368 | 0.1198 |
|
| 159 |
+
| 0.0787 | 2.4270 | 384 | 0.1192 |
|
| 160 |
+
| 0.0537 | 2.5281 | 400 | 0.1190 |
|
| 161 |
+
| 0.0547 | 2.6293 | 416 | 0.1189 |
|
| 162 |
+
| 0.0589 | 2.7304 | 432 | 0.1189 |
|
| 163 |
+
| 0.0655 | 2.8315 | 448 | 0.1190 |
|
| 164 |
+
| 0.0613 | 2.9326 | 464 | 0.1189 |
|
| 165 |
+
|
| 166 |
+
|
| 167 |
+
### Framework versions
|
| 168 |
+
|
| 169 |
+
- PEFT 0.11.1
|
| 170 |
+
- Transformers 4.41.1
|
| 171 |
+
- Pytorch 2.1.2+cu118
|
| 172 |
+
- Datasets 2.19.1
|
| 173 |
+
- Tokenizers 0.19.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:611168fdb500b654a917cb63ea6cd3d85bf4f7c3b1ef9ff34e88f6a8443dc545
|
| 3 |
+
size 320501834
|
checkpoint-158/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-158/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
checkpoint-158/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:afec4c4989f616d25d54a860799689a7f7a4e0680be54f82f7fa1d66b6c1618b
|
| 3 |
+
size 320400712
|
checkpoint-158/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b24cfafbc315337b9167ef10d9080c4513d918bcaa10c88632b17503c406e33
|
| 3 |
+
size 1281635322
|
checkpoint-158/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f3080cd848dc77205021a864cd0eb2e885ace2c58de74609625a1afb234b98f
|
| 3 |
+
size 14244
|
checkpoint-158/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1d2c8d1e6ba232f35533959b3214b34c53631f8b9829d19c5c6a0461e373c57
|
| 3 |
+
size 1064
|
checkpoint-158/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<fim_prefix>",
|
| 6 |
+
"<fim_middle>",
|
| 7 |
+
"<fim_suffix>",
|
| 8 |
+
"<fim_pad>"
|
| 9 |
+
],
|
| 10 |
+
"bos_token": {
|
| 11 |
+
"content": "<|endoftext|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<fim_pad>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"unk_token": {
|
| 32 |
+
"content": "<unk>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-158/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-158/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-158/trainer_state.json
ADDED
|
@@ -0,0 +1,1219 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9986174205016789,
|
| 5 |
+
"eval_steps": 16,
|
| 6 |
+
"global_step": 158,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.006320363420896702,
|
| 13 |
+
"grad_norm": 0.48046875,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 0.6497,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.006320363420896702,
|
| 20 |
+
"eval_loss": 0.5998793244361877,
|
| 21 |
+
"eval_runtime": 56.2331,
|
| 22 |
+
"eval_samples_per_second": 18.957,
|
| 23 |
+
"eval_steps_per_second": 18.957,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.012640726841793404,
|
| 28 |
+
"grad_norm": 0.470703125,
|
| 29 |
+
"learning_rate": 4e-05,
|
| 30 |
+
"loss": 0.6349,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.018961090262690106,
|
| 35 |
+
"grad_norm": 0.46875,
|
| 36 |
+
"learning_rate": 6e-05,
|
| 37 |
+
"loss": 0.5832,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.025281453683586808,
|
| 42 |
+
"grad_norm": 0.47265625,
|
| 43 |
+
"learning_rate": 8e-05,
|
| 44 |
+
"loss": 0.557,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.03160181710448351,
|
| 49 |
+
"grad_norm": 0.35546875,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 0.4966,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03792218052538021,
|
| 56 |
+
"grad_norm": 0.31640625,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 0.3771,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04424254394627691,
|
| 63 |
+
"grad_norm": 0.298828125,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 0.318,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.050562907367173615,
|
| 70 |
+
"grad_norm": 0.36328125,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 0.296,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05688327078807032,
|
| 77 |
+
"grad_norm": 0.3046875,
|
| 78 |
+
"learning_rate": 0.00018,
|
| 79 |
+
"loss": 0.2682,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.06320363420896702,
|
| 84 |
+
"grad_norm": 0.29296875,
|
| 85 |
+
"learning_rate": 0.0002,
|
| 86 |
+
"loss": 0.3039,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.06952399762986372,
|
| 91 |
+
"grad_norm": 0.1845703125,
|
| 92 |
+
"learning_rate": 0.00019999770790755575,
|
| 93 |
+
"loss": 0.3096,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.07584436105076042,
|
| 98 |
+
"grad_norm": 0.16796875,
|
| 99 |
+
"learning_rate": 0.00019999083173529673,
|
| 100 |
+
"loss": 0.2575,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.08216472447165712,
|
| 105 |
+
"grad_norm": 0.1689453125,
|
| 106 |
+
"learning_rate": 0.00019997937179843937,
|
| 107 |
+
"loss": 0.289,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.08848508789255383,
|
| 112 |
+
"grad_norm": 0.1572265625,
|
| 113 |
+
"learning_rate": 0.0001999633286223284,
|
| 114 |
+
"loss": 0.2878,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.09480545131345053,
|
| 119 |
+
"grad_norm": 0.12353515625,
|
| 120 |
+
"learning_rate": 0.00019994270294241266,
|
| 121 |
+
"loss": 0.2274,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.10112581473434723,
|
| 126 |
+
"grad_norm": 0.11572265625,
|
| 127 |
+
"learning_rate": 0.00019991749570421146,
|
| 128 |
+
"loss": 0.2252,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.10112581473434723,
|
| 133 |
+
"eval_loss": 0.25023654103279114,
|
| 134 |
+
"eval_runtime": 56.1603,
|
| 135 |
+
"eval_samples_per_second": 18.981,
|
| 136 |
+
"eval_steps_per_second": 18.981,
|
| 137 |
+
"step": 16
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.10744617815524393,
|
| 141 |
+
"grad_norm": 0.1298828125,
|
| 142 |
+
"learning_rate": 0.0001998877080632712,
|
| 143 |
+
"loss": 0.2512,
|
| 144 |
+
"step": 17
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.11376654157614063,
|
| 148 |
+
"grad_norm": 0.193359375,
|
| 149 |
+
"learning_rate": 0.00019985334138511237,
|
| 150 |
+
"loss": 0.2659,
|
| 151 |
+
"step": 18
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.12008690499703734,
|
| 155 |
+
"grad_norm": 0.142578125,
|
| 156 |
+
"learning_rate": 0.00019981439724516716,
|
| 157 |
+
"loss": 0.2415,
|
| 158 |
+
"step": 19
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.12640726841793404,
|
| 162 |
+
"grad_norm": 0.126953125,
|
| 163 |
+
"learning_rate": 0.0001997708774287068,
|
| 164 |
+
"loss": 0.2661,
|
| 165 |
+
"step": 20
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.13272763183883074,
|
| 169 |
+
"grad_norm": 0.1142578125,
|
| 170 |
+
"learning_rate": 0.00019972278393076023,
|
| 171 |
+
"loss": 0.2046,
|
| 172 |
+
"step": 21
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.13904799525972744,
|
| 176 |
+
"grad_norm": 0.11865234375,
|
| 177 |
+
"learning_rate": 0.0001996701189560223,
|
| 178 |
+
"loss": 0.2087,
|
| 179 |
+
"step": 22
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.14536835868062414,
|
| 183 |
+
"grad_norm": 0.1435546875,
|
| 184 |
+
"learning_rate": 0.00019961288491875278,
|
| 185 |
+
"loss": 0.2246,
|
| 186 |
+
"step": 23
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.15168872210152085,
|
| 190 |
+
"grad_norm": 0.119140625,
|
| 191 |
+
"learning_rate": 0.00019955108444266585,
|
| 192 |
+
"loss": 0.1831,
|
| 193 |
+
"step": 24
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.15800908552241755,
|
| 197 |
+
"grad_norm": 0.1376953125,
|
| 198 |
+
"learning_rate": 0.00019948472036080949,
|
| 199 |
+
"loss": 0.2398,
|
| 200 |
+
"step": 25
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.16432944894331425,
|
| 204 |
+
"grad_norm": 0.1201171875,
|
| 205 |
+
"learning_rate": 0.00019941379571543596,
|
| 206 |
+
"loss": 0.189,
|
| 207 |
+
"step": 26
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.17064981236421095,
|
| 211 |
+
"grad_norm": 0.12890625,
|
| 212 |
+
"learning_rate": 0.00019933831375786216,
|
| 213 |
+
"loss": 0.2156,
|
| 214 |
+
"step": 27
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 0.17697017578510765,
|
| 218 |
+
"grad_norm": 0.1259765625,
|
| 219 |
+
"learning_rate": 0.00019925827794832056,
|
| 220 |
+
"loss": 0.2012,
|
| 221 |
+
"step": 28
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.18329053920600435,
|
| 225 |
+
"grad_norm": 0.11572265625,
|
| 226 |
+
"learning_rate": 0.00019917369195580063,
|
| 227 |
+
"loss": 0.1602,
|
| 228 |
+
"step": 29
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.18961090262690106,
|
| 232 |
+
"grad_norm": 0.12890625,
|
| 233 |
+
"learning_rate": 0.00019908455965788067,
|
| 234 |
+
"loss": 0.1976,
|
| 235 |
+
"step": 30
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.19593126604779776,
|
| 239 |
+
"grad_norm": 0.11279296875,
|
| 240 |
+
"learning_rate": 0.00019899088514055004,
|
| 241 |
+
"loss": 0.1874,
|
| 242 |
+
"step": 31
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.20225162946869446,
|
| 246 |
+
"grad_norm": 0.1357421875,
|
| 247 |
+
"learning_rate": 0.00019889267269802176,
|
| 248 |
+
"loss": 0.2024,
|
| 249 |
+
"step": 32
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.20225162946869446,
|
| 253 |
+
"eval_loss": 0.2020280808210373,
|
| 254 |
+
"eval_runtime": 56.2737,
|
| 255 |
+
"eval_samples_per_second": 18.943,
|
| 256 |
+
"eval_steps_per_second": 18.943,
|
| 257 |
+
"step": 32
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.20857199288959116,
|
| 261 |
+
"grad_norm": 0.1123046875,
|
| 262 |
+
"learning_rate": 0.00019878992683253582,
|
| 263 |
+
"loss": 0.1819,
|
| 264 |
+
"step": 33
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.21489235631048786,
|
| 268 |
+
"grad_norm": 0.1123046875,
|
| 269 |
+
"learning_rate": 0.00019868265225415265,
|
| 270 |
+
"loss": 0.1794,
|
| 271 |
+
"step": 34
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.22121271973138457,
|
| 275 |
+
"grad_norm": 0.12060546875,
|
| 276 |
+
"learning_rate": 0.00019857085388053723,
|
| 277 |
+
"loss": 0.1943,
|
| 278 |
+
"step": 35
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.22753308315228127,
|
| 282 |
+
"grad_norm": 0.134765625,
|
| 283 |
+
"learning_rate": 0.00019845453683673368,
|
| 284 |
+
"loss": 0.2265,
|
| 285 |
+
"step": 36
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.23385344657317797,
|
| 289 |
+
"grad_norm": 0.115234375,
|
| 290 |
+
"learning_rate": 0.00019833370645493047,
|
| 291 |
+
"loss": 0.181,
|
| 292 |
+
"step": 37
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 0.24017380999407467,
|
| 296 |
+
"grad_norm": 0.12353515625,
|
| 297 |
+
"learning_rate": 0.0001982083682742156,
|
| 298 |
+
"loss": 0.1946,
|
| 299 |
+
"step": 38
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.24649417341497137,
|
| 303 |
+
"grad_norm": 0.107421875,
|
| 304 |
+
"learning_rate": 0.00019807852804032305,
|
| 305 |
+
"loss": 0.1418,
|
| 306 |
+
"step": 39
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.2528145368358681,
|
| 310 |
+
"grad_norm": 0.11572265625,
|
| 311 |
+
"learning_rate": 0.00019794419170536916,
|
| 312 |
+
"loss": 0.1651,
|
| 313 |
+
"step": 40
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.2591349002567648,
|
| 317 |
+
"grad_norm": 0.1337890625,
|
| 318 |
+
"learning_rate": 0.00019780536542758,
|
| 319 |
+
"loss": 0.1821,
|
| 320 |
+
"step": 41
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.2654552636776615,
|
| 324 |
+
"grad_norm": 0.12353515625,
|
| 325 |
+
"learning_rate": 0.00019766205557100868,
|
| 326 |
+
"loss": 0.1913,
|
| 327 |
+
"step": 42
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.2717756270985582,
|
| 331 |
+
"grad_norm": 0.12451171875,
|
| 332 |
+
"learning_rate": 0.00019751426870524407,
|
| 333 |
+
"loss": 0.194,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.2780959905194549,
|
| 338 |
+
"grad_norm": 0.1162109375,
|
| 339 |
+
"learning_rate": 0.00019736201160510931,
|
| 340 |
+
"loss": 0.1832,
|
| 341 |
+
"step": 44
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.2844163539403516,
|
| 345 |
+
"grad_norm": 0.12353515625,
|
| 346 |
+
"learning_rate": 0.0001972052912503514,
|
| 347 |
+
"loss": 0.19,
|
| 348 |
+
"step": 45
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.2907367173612483,
|
| 352 |
+
"grad_norm": 0.11474609375,
|
| 353 |
+
"learning_rate": 0.00019704411482532116,
|
| 354 |
+
"loss": 0.1875,
|
| 355 |
+
"step": 46
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.297057080782145,
|
| 359 |
+
"grad_norm": 0.1123046875,
|
| 360 |
+
"learning_rate": 0.00019687848971864389,
|
| 361 |
+
"loss": 0.184,
|
| 362 |
+
"step": 47
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.3033774442030417,
|
| 366 |
+
"grad_norm": 0.107421875,
|
| 367 |
+
"learning_rate": 0.0001967084235228807,
|
| 368 |
+
"loss": 0.1581,
|
| 369 |
+
"step": 48
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.3033774442030417,
|
| 373 |
+
"eval_loss": 0.18037649989128113,
|
| 374 |
+
"eval_runtime": 56.5509,
|
| 375 |
+
"eval_samples_per_second": 18.85,
|
| 376 |
+
"eval_steps_per_second": 18.85,
|
| 377 |
+
"step": 48
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.3096978076239384,
|
| 381 |
+
"grad_norm": 0.10302734375,
|
| 382 |
+
"learning_rate": 0.00019653392403418043,
|
| 383 |
+
"loss": 0.1766,
|
| 384 |
+
"step": 49
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.3160181710448351,
|
| 388 |
+
"grad_norm": 0.11669921875,
|
| 389 |
+
"learning_rate": 0.0001963549992519223,
|
| 390 |
+
"loss": 0.1888,
|
| 391 |
+
"step": 50
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.3223385344657318,
|
| 395 |
+
"grad_norm": 0.10009765625,
|
| 396 |
+
"learning_rate": 0.00019617165737834916,
|
| 397 |
+
"loss": 0.139,
|
| 398 |
+
"step": 51
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.3286588978866285,
|
| 402 |
+
"grad_norm": 0.12451171875,
|
| 403 |
+
"learning_rate": 0.0001959839068181914,
|
| 404 |
+
"loss": 0.1845,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.3349792613075252,
|
| 409 |
+
"grad_norm": 0.12060546875,
|
| 410 |
+
"learning_rate": 0.00019579175617828187,
|
| 411 |
+
"loss": 0.2043,
|
| 412 |
+
"step": 53
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 0.3412996247284219,
|
| 416 |
+
"grad_norm": 0.1142578125,
|
| 417 |
+
"learning_rate": 0.00019559521426716118,
|
| 418 |
+
"loss": 0.1678,
|
| 419 |
+
"step": 54
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.3476199881493186,
|
| 423 |
+
"grad_norm": 0.11669921875,
|
| 424 |
+
"learning_rate": 0.0001953942900946739,
|
| 425 |
+
"loss": 0.1671,
|
| 426 |
+
"step": 55
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.3539403515702153,
|
| 430 |
+
"grad_norm": 0.115234375,
|
| 431 |
+
"learning_rate": 0.00019518899287155556,
|
| 432 |
+
"loss": 0.1724,
|
| 433 |
+
"step": 56
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.360260714991112,
|
| 437 |
+
"grad_norm": 0.126953125,
|
| 438 |
+
"learning_rate": 0.0001949793320090105,
|
| 439 |
+
"loss": 0.177,
|
| 440 |
+
"step": 57
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.3665810784120087,
|
| 444 |
+
"grad_norm": 0.1259765625,
|
| 445 |
+
"learning_rate": 0.00019476531711828027,
|
| 446 |
+
"loss": 0.1644,
|
| 447 |
+
"step": 58
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.3729014418329054,
|
| 451 |
+
"grad_norm": 0.1142578125,
|
| 452 |
+
"learning_rate": 0.0001945469580102031,
|
| 453 |
+
"loss": 0.1564,
|
| 454 |
+
"step": 59
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 0.3792218052538021,
|
| 458 |
+
"grad_norm": 0.10302734375,
|
| 459 |
+
"learning_rate": 0.0001943242646947643,
|
| 460 |
+
"loss": 0.1353,
|
| 461 |
+
"step": 60
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.3855421686746988,
|
| 465 |
+
"grad_norm": 0.10791015625,
|
| 466 |
+
"learning_rate": 0.00019409724738063714,
|
| 467 |
+
"loss": 0.1622,
|
| 468 |
+
"step": 61
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.3918625320955955,
|
| 472 |
+
"grad_norm": 0.10791015625,
|
| 473 |
+
"learning_rate": 0.00019386591647471506,
|
| 474 |
+
"loss": 0.1564,
|
| 475 |
+
"step": 62
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.3981828955164922,
|
| 479 |
+
"grad_norm": 0.11376953125,
|
| 480 |
+
"learning_rate": 0.00019363028258163447,
|
| 481 |
+
"loss": 0.176,
|
| 482 |
+
"step": 63
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.4045032589373889,
|
| 486 |
+
"grad_norm": 0.1162109375,
|
| 487 |
+
"learning_rate": 0.00019339035650328869,
|
| 488 |
+
"loss": 0.1912,
|
| 489 |
+
"step": 64
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.4045032589373889,
|
| 493 |
+
"eval_loss": 0.1681559830904007,
|
| 494 |
+
"eval_runtime": 56.4912,
|
| 495 |
+
"eval_samples_per_second": 18.87,
|
| 496 |
+
"eval_steps_per_second": 18.87,
|
| 497 |
+
"step": 64
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.4108236223582856,
|
| 501 |
+
"grad_norm": 0.11572265625,
|
| 502 |
+
"learning_rate": 0.0001931461492383327,
|
| 503 |
+
"loss": 0.1959,
|
| 504 |
+
"step": 65
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.4171439857791823,
|
| 508 |
+
"grad_norm": 0.0966796875,
|
| 509 |
+
"learning_rate": 0.00019289767198167916,
|
| 510 |
+
"loss": 0.1379,
|
| 511 |
+
"step": 66
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.423464349200079,
|
| 515 |
+
"grad_norm": 0.1142578125,
|
| 516 |
+
"learning_rate": 0.00019264493612398481,
|
| 517 |
+
"loss": 0.1669,
|
| 518 |
+
"step": 67
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.42978471262097573,
|
| 522 |
+
"grad_norm": 0.09619140625,
|
| 523 |
+
"learning_rate": 0.0001923879532511287,
|
| 524 |
+
"loss": 0.1279,
|
| 525 |
+
"step": 68
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.43610507604187243,
|
| 529 |
+
"grad_norm": 0.10986328125,
|
| 530 |
+
"learning_rate": 0.0001921267351436808,
|
| 531 |
+
"loss": 0.1535,
|
| 532 |
+
"step": 69
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.44242543946276913,
|
| 536 |
+
"grad_norm": 0.11962890625,
|
| 537 |
+
"learning_rate": 0.0001918612937763622,
|
| 538 |
+
"loss": 0.1697,
|
| 539 |
+
"step": 70
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.44874580288366583,
|
| 543 |
+
"grad_norm": 0.107421875,
|
| 544 |
+
"learning_rate": 0.00019159164131749587,
|
| 545 |
+
"loss": 0.166,
|
| 546 |
+
"step": 71
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.45506616630456254,
|
| 550 |
+
"grad_norm": 0.10986328125,
|
| 551 |
+
"learning_rate": 0.00019131779012844912,
|
| 552 |
+
"loss": 0.1508,
|
| 553 |
+
"step": 72
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.46138652972545924,
|
| 557 |
+
"grad_norm": 0.1201171875,
|
| 558 |
+
"learning_rate": 0.00019103975276306678,
|
| 559 |
+
"loss": 0.1617,
|
| 560 |
+
"step": 73
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.46770689314635594,
|
| 564 |
+
"grad_norm": 0.1103515625,
|
| 565 |
+
"learning_rate": 0.00019075754196709572,
|
| 566 |
+
"loss": 0.1436,
|
| 567 |
+
"step": 74
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.47402725656725264,
|
| 571 |
+
"grad_norm": 0.1025390625,
|
| 572 |
+
"learning_rate": 0.0001904711706776006,
|
| 573 |
+
"loss": 0.1408,
|
| 574 |
+
"step": 75
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 0.48034761998814934,
|
| 578 |
+
"grad_norm": 0.1171875,
|
| 579 |
+
"learning_rate": 0.00019018065202237083,
|
| 580 |
+
"loss": 0.1594,
|
| 581 |
+
"step": 76
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.48666798340904605,
|
| 585 |
+
"grad_norm": 0.10546875,
|
| 586 |
+
"learning_rate": 0.00018988599931931866,
|
| 587 |
+
"loss": 0.1394,
|
| 588 |
+
"step": 77
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 0.49298834682994275,
|
| 592 |
+
"grad_norm": 0.111328125,
|
| 593 |
+
"learning_rate": 0.0001895872260758688,
|
| 594 |
+
"loss": 0.1448,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 0.49930871025083945,
|
| 599 |
+
"grad_norm": 0.111328125,
|
| 600 |
+
"learning_rate": 0.00018928434598833912,
|
| 601 |
+
"loss": 0.156,
|
| 602 |
+
"step": 79
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 0.5056290736717362,
|
| 606 |
+
"grad_norm": 0.125,
|
| 607 |
+
"learning_rate": 0.00018897737294131284,
|
| 608 |
+
"loss": 0.1692,
|
| 609 |
+
"step": 80
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.5056290736717362,
|
| 613 |
+
"eval_loss": 0.15801414847373962,
|
| 614 |
+
"eval_runtime": 57.0109,
|
| 615 |
+
"eval_samples_per_second": 18.698,
|
| 616 |
+
"eval_steps_per_second": 18.698,
|
| 617 |
+
"step": 80
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.5119494370926329,
|
| 621 |
+
"grad_norm": 0.10400390625,
|
| 622 |
+
"learning_rate": 0.00018866632100700197,
|
| 623 |
+
"loss": 0.1318,
|
| 624 |
+
"step": 81
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 0.5182698005135296,
|
| 628 |
+
"grad_norm": 0.1357421875,
|
| 629 |
+
"learning_rate": 0.0001883512044446023,
|
| 630 |
+
"loss": 0.203,
|
| 631 |
+
"step": 82
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.5245901639344263,
|
| 635 |
+
"grad_norm": 0.126953125,
|
| 636 |
+
"learning_rate": 0.00018803203769963967,
|
| 637 |
+
"loss": 0.1968,
|
| 638 |
+
"step": 83
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 0.530910527355323,
|
| 642 |
+
"grad_norm": 0.1025390625,
|
| 643 |
+
"learning_rate": 0.0001877088354033077,
|
| 644 |
+
"loss": 0.139,
|
| 645 |
+
"step": 84
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 0.5372308907762197,
|
| 649 |
+
"grad_norm": 0.1044921875,
|
| 650 |
+
"learning_rate": 0.0001873816123717973,
|
| 651 |
+
"loss": 0.1301,
|
| 652 |
+
"step": 85
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"epoch": 0.5435512541971164,
|
| 656 |
+
"grad_norm": 0.107421875,
|
| 657 |
+
"learning_rate": 0.0001870503836056172,
|
| 658 |
+
"loss": 0.1253,
|
| 659 |
+
"step": 86
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 0.5498716176180131,
|
| 663 |
+
"grad_norm": 0.11474609375,
|
| 664 |
+
"learning_rate": 0.00018671516428890648,
|
| 665 |
+
"loss": 0.1575,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 0.5561919810389098,
|
| 670 |
+
"grad_norm": 0.12353515625,
|
| 671 |
+
"learning_rate": 0.00018637596978873835,
|
| 672 |
+
"loss": 0.1627,
|
| 673 |
+
"step": 88
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.5625123444598065,
|
| 677 |
+
"grad_norm": 0.1279296875,
|
| 678 |
+
"learning_rate": 0.00018603281565441585,
|
| 679 |
+
"loss": 0.1762,
|
| 680 |
+
"step": 89
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 0.5688327078807032,
|
| 684 |
+
"grad_norm": 0.1259765625,
|
| 685 |
+
"learning_rate": 0.00018568571761675893,
|
| 686 |
+
"loss": 0.1537,
|
| 687 |
+
"step": 90
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 0.5751530713015999,
|
| 691 |
+
"grad_norm": 0.1259765625,
|
| 692 |
+
"learning_rate": 0.00018533469158738344,
|
| 693 |
+
"loss": 0.1752,
|
| 694 |
+
"step": 91
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.5814734347224966,
|
| 698 |
+
"grad_norm": 0.11865234375,
|
| 699 |
+
"learning_rate": 0.0001849797536579715,
|
| 700 |
+
"loss": 0.1441,
|
| 701 |
+
"step": 92
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.5877937981433933,
|
| 705 |
+
"grad_norm": 0.1083984375,
|
| 706 |
+
"learning_rate": 0.00018462092009953408,
|
| 707 |
+
"loss": 0.1471,
|
| 708 |
+
"step": 93
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.59411416156429,
|
| 712 |
+
"grad_norm": 0.1201171875,
|
| 713 |
+
"learning_rate": 0.0001842582073616649,
|
| 714 |
+
"loss": 0.1584,
|
| 715 |
+
"step": 94
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.6004345249851867,
|
| 719 |
+
"grad_norm": 0.1005859375,
|
| 720 |
+
"learning_rate": 0.00018389163207178656,
|
| 721 |
+
"loss": 0.1255,
|
| 722 |
+
"step": 95
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.6067548884060834,
|
| 726 |
+
"grad_norm": 0.10595703125,
|
| 727 |
+
"learning_rate": 0.000183521211034388,
|
| 728 |
+
"loss": 0.1401,
|
| 729 |
+
"step": 96
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.6067548884060834,
|
| 733 |
+
"eval_loss": 0.1516103893518448,
|
| 734 |
+
"eval_runtime": 57.9856,
|
| 735 |
+
"eval_samples_per_second": 18.384,
|
| 736 |
+
"eval_steps_per_second": 18.384,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.6130752518269801,
|
| 741 |
+
"grad_norm": 0.0966796875,
|
| 742 |
+
"learning_rate": 0.00018314696123025454,
|
| 743 |
+
"loss": 0.1359,
|
| 744 |
+
"step": 97
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.6193956152478768,
|
| 748 |
+
"grad_norm": 0.107421875,
|
| 749 |
+
"learning_rate": 0.00018276889981568906,
|
| 750 |
+
"loss": 0.1354,
|
| 751 |
+
"step": 98
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.6257159786687735,
|
| 755 |
+
"grad_norm": 0.10986328125,
|
| 756 |
+
"learning_rate": 0.00018238704412172586,
|
| 757 |
+
"loss": 0.1315,
|
| 758 |
+
"step": 99
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.6320363420896702,
|
| 762 |
+
"grad_norm": 0.1083984375,
|
| 763 |
+
"learning_rate": 0.0001820014116533359,
|
| 764 |
+
"loss": 0.1522,
|
| 765 |
+
"step": 100
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.6383567055105669,
|
| 769 |
+
"grad_norm": 0.11767578125,
|
| 770 |
+
"learning_rate": 0.00018161202008862458,
|
| 771 |
+
"loss": 0.1754,
|
| 772 |
+
"step": 101
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.6446770689314636,
|
| 776 |
+
"grad_norm": 0.1025390625,
|
| 777 |
+
"learning_rate": 0.00018121888727802113,
|
| 778 |
+
"loss": 0.1368,
|
| 779 |
+
"step": 102
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.6509974323523603,
|
| 783 |
+
"grad_norm": 0.09814453125,
|
| 784 |
+
"learning_rate": 0.00018082203124346045,
|
| 785 |
+
"loss": 0.14,
|
| 786 |
+
"step": 103
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.657317795773257,
|
| 790 |
+
"grad_norm": 0.115234375,
|
| 791 |
+
"learning_rate": 0.0001804214701775569,
|
| 792 |
+
"loss": 0.157,
|
| 793 |
+
"step": 104
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.6636381591941537,
|
| 797 |
+
"grad_norm": 0.11376953125,
|
| 798 |
+
"learning_rate": 0.00018001722244277035,
|
| 799 |
+
"loss": 0.1575,
|
| 800 |
+
"step": 105
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.6699585226150504,
|
| 804 |
+
"grad_norm": 0.09765625,
|
| 805 |
+
"learning_rate": 0.00017960930657056438,
|
| 806 |
+
"loss": 0.1229,
|
| 807 |
+
"step": 106
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.6762788860359471,
|
| 811 |
+
"grad_norm": 0.099609375,
|
| 812 |
+
"learning_rate": 0.00017919774126055673,
|
| 813 |
+
"loss": 0.1294,
|
| 814 |
+
"step": 107
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.6825992494568438,
|
| 818 |
+
"grad_norm": 0.09716796875,
|
| 819 |
+
"learning_rate": 0.00017878254537966216,
|
| 820 |
+
"loss": 0.1381,
|
| 821 |
+
"step": 108
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.6889196128777405,
|
| 825 |
+
"grad_norm": 0.11083984375,
|
| 826 |
+
"learning_rate": 0.0001783637379612275,
|
| 827 |
+
"loss": 0.1494,
|
| 828 |
+
"step": 109
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.6952399762986372,
|
| 832 |
+
"grad_norm": 0.107421875,
|
| 833 |
+
"learning_rate": 0.00017794133820415916,
|
| 834 |
+
"loss": 0.1527,
|
| 835 |
+
"step": 110
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.7015603397195339,
|
| 839 |
+
"grad_norm": 0.111328125,
|
| 840 |
+
"learning_rate": 0.00017751536547204295,
|
| 841 |
+
"loss": 0.1335,
|
| 842 |
+
"step": 111
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.7078807031404306,
|
| 846 |
+
"grad_norm": 0.10400390625,
|
| 847 |
+
"learning_rate": 0.0001770858392922565,
|
| 848 |
+
"loss": 0.1204,
|
| 849 |
+
"step": 112
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.7078807031404306,
|
| 853 |
+
"eval_loss": 0.14627417922019958,
|
| 854 |
+
"eval_runtime": 56.8973,
|
| 855 |
+
"eval_samples_per_second": 18.736,
|
| 856 |
+
"eval_steps_per_second": 18.736,
|
| 857 |
+
"step": 112
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.7142010665613273,
|
| 861 |
+
"grad_norm": 0.09814453125,
|
| 862 |
+
"learning_rate": 0.00017665277935507398,
|
| 863 |
+
"loss": 0.122,
|
| 864 |
+
"step": 113
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.720521429982224,
|
| 868 |
+
"grad_norm": 0.0966796875,
|
| 869 |
+
"learning_rate": 0.00017621620551276366,
|
| 870 |
+
"loss": 0.134,
|
| 871 |
+
"step": 114
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.7268417934031207,
|
| 875 |
+
"grad_norm": 0.09765625,
|
| 876 |
+
"learning_rate": 0.00017577613777867762,
|
| 877 |
+
"loss": 0.1185,
|
| 878 |
+
"step": 115
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.7331621568240174,
|
| 882 |
+
"grad_norm": 0.1064453125,
|
| 883 |
+
"learning_rate": 0.00017533259632633442,
|
| 884 |
+
"loss": 0.1337,
|
| 885 |
+
"step": 116
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.7394825202449141,
|
| 889 |
+
"grad_norm": 0.130859375,
|
| 890 |
+
"learning_rate": 0.00017488560148849427,
|
| 891 |
+
"loss": 0.1503,
|
| 892 |
+
"step": 117
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.7458028836658108,
|
| 896 |
+
"grad_norm": 0.10791015625,
|
| 897 |
+
"learning_rate": 0.00017443517375622704,
|
| 898 |
+
"loss": 0.1594,
|
| 899 |
+
"step": 118
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.7521232470867075,
|
| 903 |
+
"grad_norm": 0.1181640625,
|
| 904 |
+
"learning_rate": 0.0001739813337779727,
|
| 905 |
+
"loss": 0.1397,
|
| 906 |
+
"step": 119
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.7584436105076042,
|
| 910 |
+
"grad_norm": 0.10302734375,
|
| 911 |
+
"learning_rate": 0.00017352410235859503,
|
| 912 |
+
"loss": 0.1314,
|
| 913 |
+
"step": 120
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.7647639739285009,
|
| 917 |
+
"grad_norm": 0.115234375,
|
| 918 |
+
"learning_rate": 0.0001730635004584276,
|
| 919 |
+
"loss": 0.1466,
|
| 920 |
+
"step": 121
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.7710843373493976,
|
| 924 |
+
"grad_norm": 0.0986328125,
|
| 925 |
+
"learning_rate": 0.0001725995491923131,
|
| 926 |
+
"loss": 0.1147,
|
| 927 |
+
"step": 122
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.7774047007702943,
|
| 931 |
+
"grad_norm": 0.134765625,
|
| 932 |
+
"learning_rate": 0.0001721322698286354,
|
| 933 |
+
"loss": 0.1637,
|
| 934 |
+
"step": 123
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.783725064191191,
|
| 938 |
+
"grad_norm": 0.11279296875,
|
| 939 |
+
"learning_rate": 0.00017166168378834448,
|
| 940 |
+
"loss": 0.138,
|
| 941 |
+
"step": 124
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.7900454276120877,
|
| 945 |
+
"grad_norm": 0.11767578125,
|
| 946 |
+
"learning_rate": 0.00017118781264397446,
|
| 947 |
+
"loss": 0.1511,
|
| 948 |
+
"step": 125
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.7963657910329844,
|
| 952 |
+
"grad_norm": 0.115234375,
|
| 953 |
+
"learning_rate": 0.00017071067811865476,
|
| 954 |
+
"loss": 0.1407,
|
| 955 |
+
"step": 126
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.8026861544538811,
|
| 959 |
+
"grad_norm": 0.1064453125,
|
| 960 |
+
"learning_rate": 0.0001702303020851142,
|
| 961 |
+
"loss": 0.1342,
|
| 962 |
+
"step": 127
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.8090065178747778,
|
| 966 |
+
"grad_norm": 0.11865234375,
|
| 967 |
+
"learning_rate": 0.00016974670656467824,
|
| 968 |
+
"loss": 0.1336,
|
| 969 |
+
"step": 128
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.8090065178747778,
|
| 973 |
+
"eval_loss": 0.14203742146492004,
|
| 974 |
+
"eval_runtime": 58.4188,
|
| 975 |
+
"eval_samples_per_second": 18.248,
|
| 976 |
+
"eval_steps_per_second": 18.248,
|
| 977 |
+
"step": 128
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.8153268812956745,
|
| 981 |
+
"grad_norm": 0.1083984375,
|
| 982 |
+
"learning_rate": 0.0001692599137262597,
|
| 983 |
+
"loss": 0.1543,
|
| 984 |
+
"step": 129
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.8216472447165712,
|
| 988 |
+
"grad_norm": 0.0888671875,
|
| 989 |
+
"learning_rate": 0.00016876994588534234,
|
| 990 |
+
"loss": 0.1116,
|
| 991 |
+
"step": 130
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.827967608137468,
|
| 995 |
+
"grad_norm": 0.1044921875,
|
| 996 |
+
"learning_rate": 0.00016827682550295785,
|
| 997 |
+
"loss": 0.1267,
|
| 998 |
+
"step": 131
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.8342879715583646,
|
| 1002 |
+
"grad_norm": 0.10400390625,
|
| 1003 |
+
"learning_rate": 0.0001677805751846563,
|
| 1004 |
+
"loss": 0.1361,
|
| 1005 |
+
"step": 132
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.8406083349792614,
|
| 1009 |
+
"grad_norm": 0.11376953125,
|
| 1010 |
+
"learning_rate": 0.00016728121767946977,
|
| 1011 |
+
"loss": 0.1372,
|
| 1012 |
+
"step": 133
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.846928698400158,
|
| 1016 |
+
"grad_norm": 0.10498046875,
|
| 1017 |
+
"learning_rate": 0.00016677877587886956,
|
| 1018 |
+
"loss": 0.1258,
|
| 1019 |
+
"step": 134
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.8532490618210548,
|
| 1023 |
+
"grad_norm": 0.11669921875,
|
| 1024 |
+
"learning_rate": 0.00016627327281571678,
|
| 1025 |
+
"loss": 0.1427,
|
| 1026 |
+
"step": 135
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.8595694252419515,
|
| 1030 |
+
"grad_norm": 0.1328125,
|
| 1031 |
+
"learning_rate": 0.00016576473166320644,
|
| 1032 |
+
"loss": 0.187,
|
| 1033 |
+
"step": 136
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.8658897886628482,
|
| 1037 |
+
"grad_norm": 0.1044921875,
|
| 1038 |
+
"learning_rate": 0.00016525317573380525,
|
| 1039 |
+
"loss": 0.1417,
|
| 1040 |
+
"step": 137
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.8722101520837449,
|
| 1044 |
+
"grad_norm": 0.10107421875,
|
| 1045 |
+
"learning_rate": 0.00016473862847818277,
|
| 1046 |
+
"loss": 0.1399,
|
| 1047 |
+
"step": 138
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.8785305155046416,
|
| 1051 |
+
"grad_norm": 0.1025390625,
|
| 1052 |
+
"learning_rate": 0.00016422111348413657,
|
| 1053 |
+
"loss": 0.141,
|
| 1054 |
+
"step": 139
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.8848508789255383,
|
| 1058 |
+
"grad_norm": 0.1005859375,
|
| 1059 |
+
"learning_rate": 0.00016370065447551078,
|
| 1060 |
+
"loss": 0.1236,
|
| 1061 |
+
"step": 140
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.891171242346435,
|
| 1065 |
+
"grad_norm": 0.10205078125,
|
| 1066 |
+
"learning_rate": 0.0001631772753111086,
|
| 1067 |
+
"loss": 0.1236,
|
| 1068 |
+
"step": 141
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.8974916057673317,
|
| 1072 |
+
"grad_norm": 0.10302734375,
|
| 1073 |
+
"learning_rate": 0.00016265099998359866,
|
| 1074 |
+
"loss": 0.128,
|
| 1075 |
+
"step": 142
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.9038119691882284,
|
| 1079 |
+
"grad_norm": 0.09814453125,
|
| 1080 |
+
"learning_rate": 0.00016212185261841499,
|
| 1081 |
+
"loss": 0.1227,
|
| 1082 |
+
"step": 143
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.9101323326091251,
|
| 1086 |
+
"grad_norm": 0.1064453125,
|
| 1087 |
+
"learning_rate": 0.00016158985747265108,
|
| 1088 |
+
"loss": 0.1339,
|
| 1089 |
+
"step": 144
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.9101323326091251,
|
| 1093 |
+
"eval_loss": 0.1379576325416565,
|
| 1094 |
+
"eval_runtime": 61.2763,
|
| 1095 |
+
"eval_samples_per_second": 17.397,
|
| 1096 |
+
"eval_steps_per_second": 17.397,
|
| 1097 |
+
"step": 144
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.9164526960300218,
|
| 1101 |
+
"grad_norm": 0.10009765625,
|
| 1102 |
+
"learning_rate": 0.00016105503893394806,
|
| 1103 |
+
"loss": 0.1255,
|
| 1104 |
+
"step": 145
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.9227730594509185,
|
| 1108 |
+
"grad_norm": 0.103515625,
|
| 1109 |
+
"learning_rate": 0.00016051742151937655,
|
| 1110 |
+
"loss": 0.1237,
|
| 1111 |
+
"step": 146
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.9290934228718152,
|
| 1115 |
+
"grad_norm": 0.10009765625,
|
| 1116 |
+
"learning_rate": 0.0001599770298743128,
|
| 1117 |
+
"loss": 0.1212,
|
| 1118 |
+
"step": 147
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.9354137862927119,
|
| 1122 |
+
"grad_norm": 0.1123046875,
|
| 1123 |
+
"learning_rate": 0.000159433888771309,
|
| 1124 |
+
"loss": 0.1402,
|
| 1125 |
+
"step": 148
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.9417341497136086,
|
| 1129 |
+
"grad_norm": 0.11865234375,
|
| 1130 |
+
"learning_rate": 0.00015888802310895742,
|
| 1131 |
+
"loss": 0.1475,
|
| 1132 |
+
"step": 149
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.9480545131345053,
|
| 1136 |
+
"grad_norm": 0.1064453125,
|
| 1137 |
+
"learning_rate": 0.00015833945791074943,
|
| 1138 |
+
"loss": 0.1133,
|
| 1139 |
+
"step": 150
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.954374876555402,
|
| 1143 |
+
"grad_norm": 0.10986328125,
|
| 1144 |
+
"learning_rate": 0.00015778821832392777,
|
| 1145 |
+
"loss": 0.1336,
|
| 1146 |
+
"step": 151
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.9606952399762987,
|
| 1150 |
+
"grad_norm": 0.1162109375,
|
| 1151 |
+
"learning_rate": 0.0001572343296183344,
|
| 1152 |
+
"loss": 0.1479,
|
| 1153 |
+
"step": 152
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.9670156033971954,
|
| 1157 |
+
"grad_norm": 0.10546875,
|
| 1158 |
+
"learning_rate": 0.00015667781718525157,
|
| 1159 |
+
"loss": 0.1291,
|
| 1160 |
+
"step": 153
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.9733359668180921,
|
| 1164 |
+
"grad_norm": 0.11181640625,
|
| 1165 |
+
"learning_rate": 0.00015611870653623825,
|
| 1166 |
+
"loss": 0.1337,
|
| 1167 |
+
"step": 154
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.9796563302389888,
|
| 1171 |
+
"grad_norm": 0.09228515625,
|
| 1172 |
+
"learning_rate": 0.00015555702330196023,
|
| 1173 |
+
"loss": 0.1024,
|
| 1174 |
+
"step": 155
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.9859766936598855,
|
| 1178 |
+
"grad_norm": 0.10791015625,
|
| 1179 |
+
"learning_rate": 0.0001549927932310155,
|
| 1180 |
+
"loss": 0.1565,
|
| 1181 |
+
"step": 156
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.9922970570807822,
|
| 1185 |
+
"grad_norm": 0.10595703125,
|
| 1186 |
+
"learning_rate": 0.0001544260421887537,
|
| 1187 |
+
"loss": 0.1328,
|
| 1188 |
+
"step": 157
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.9986174205016789,
|
| 1192 |
+
"grad_norm": 0.1142578125,
|
| 1193 |
+
"learning_rate": 0.00015385679615609042,
|
| 1194 |
+
"loss": 0.164,
|
| 1195 |
+
"step": 158
|
| 1196 |
+
}
|
| 1197 |
+
],
|
| 1198 |
+
"logging_steps": 1,
|
| 1199 |
+
"max_steps": 474,
|
| 1200 |
+
"num_input_tokens_seen": 0,
|
| 1201 |
+
"num_train_epochs": 3,
|
| 1202 |
+
"save_steps": 79,
|
| 1203 |
+
"stateful_callbacks": {
|
| 1204 |
+
"TrainerControl": {
|
| 1205 |
+
"args": {
|
| 1206 |
+
"should_epoch_stop": false,
|
| 1207 |
+
"should_evaluate": false,
|
| 1208 |
+
"should_log": false,
|
| 1209 |
+
"should_save": true,
|
| 1210 |
+
"should_training_stop": false
|
| 1211 |
+
},
|
| 1212 |
+
"attributes": {}
|
| 1213 |
+
}
|
| 1214 |
+
},
|
| 1215 |
+
"total_flos": 2.7720565660267315e+17,
|
| 1216 |
+
"train_batch_size": 1,
|
| 1217 |
+
"trial_name": null,
|
| 1218 |
+
"trial_params": null
|
| 1219 |
+
}
|
checkpoint-158/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a42e672d0e98a9d5136262dff4f57ed4188e95ecf91a7d717efb480df19275c
|
| 3 |
+
size 6072
|
checkpoint-237/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-237/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
checkpoint-237/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8d385986beb57cd39997142f220e29229aa9c9fd1d5bc796da2b04b46de09b7c
|
| 3 |
+
size 320400712
|
checkpoint-237/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec896f3be42233e56df35b04858e4e28441becdd4d81f3cab78a4d917a75198e
|
| 3 |
+
size 1281635322
|
checkpoint-237/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2c9698cade2ea172913445b871ba025385c6d5c2d165bbe5125271920a1f38b2
|
| 3 |
+
size 14244
|
checkpoint-237/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d6f64865f4f8d2e6acee33c20ad683fbbe2324af3239d94f64ade7a67aa8521
|
| 3 |
+
size 1064
|
checkpoint-237/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<fim_prefix>",
|
| 6 |
+
"<fim_middle>",
|
| 7 |
+
"<fim_suffix>",
|
| 8 |
+
"<fim_pad>"
|
| 9 |
+
],
|
| 10 |
+
"bos_token": {
|
| 11 |
+
"content": "<|endoftext|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<fim_pad>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"unk_token": {
|
| 32 |
+
"content": "<unk>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-237/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-237/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-237/trainer_state.json
ADDED
|
@@ -0,0 +1,1812 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.4979261307525182,
|
| 5 |
+
"eval_steps": 16,
|
| 6 |
+
"global_step": 237,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.006320363420896702,
|
| 13 |
+
"grad_norm": 0.48046875,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 0.6497,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.006320363420896702,
|
| 20 |
+
"eval_loss": 0.5998793244361877,
|
| 21 |
+
"eval_runtime": 56.2331,
|
| 22 |
+
"eval_samples_per_second": 18.957,
|
| 23 |
+
"eval_steps_per_second": 18.957,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.012640726841793404,
|
| 28 |
+
"grad_norm": 0.470703125,
|
| 29 |
+
"learning_rate": 4e-05,
|
| 30 |
+
"loss": 0.6349,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.018961090262690106,
|
| 35 |
+
"grad_norm": 0.46875,
|
| 36 |
+
"learning_rate": 6e-05,
|
| 37 |
+
"loss": 0.5832,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.025281453683586808,
|
| 42 |
+
"grad_norm": 0.47265625,
|
| 43 |
+
"learning_rate": 8e-05,
|
| 44 |
+
"loss": 0.557,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.03160181710448351,
|
| 49 |
+
"grad_norm": 0.35546875,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 0.4966,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03792218052538021,
|
| 56 |
+
"grad_norm": 0.31640625,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 0.3771,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04424254394627691,
|
| 63 |
+
"grad_norm": 0.298828125,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 0.318,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.050562907367173615,
|
| 70 |
+
"grad_norm": 0.36328125,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 0.296,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05688327078807032,
|
| 77 |
+
"grad_norm": 0.3046875,
|
| 78 |
+
"learning_rate": 0.00018,
|
| 79 |
+
"loss": 0.2682,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.06320363420896702,
|
| 84 |
+
"grad_norm": 0.29296875,
|
| 85 |
+
"learning_rate": 0.0002,
|
| 86 |
+
"loss": 0.3039,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.06952399762986372,
|
| 91 |
+
"grad_norm": 0.1845703125,
|
| 92 |
+
"learning_rate": 0.00019999770790755575,
|
| 93 |
+
"loss": 0.3096,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.07584436105076042,
|
| 98 |
+
"grad_norm": 0.16796875,
|
| 99 |
+
"learning_rate": 0.00019999083173529673,
|
| 100 |
+
"loss": 0.2575,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.08216472447165712,
|
| 105 |
+
"grad_norm": 0.1689453125,
|
| 106 |
+
"learning_rate": 0.00019997937179843937,
|
| 107 |
+
"loss": 0.289,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.08848508789255383,
|
| 112 |
+
"grad_norm": 0.1572265625,
|
| 113 |
+
"learning_rate": 0.0001999633286223284,
|
| 114 |
+
"loss": 0.2878,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.09480545131345053,
|
| 119 |
+
"grad_norm": 0.12353515625,
|
| 120 |
+
"learning_rate": 0.00019994270294241266,
|
| 121 |
+
"loss": 0.2274,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.10112581473434723,
|
| 126 |
+
"grad_norm": 0.11572265625,
|
| 127 |
+
"learning_rate": 0.00019991749570421146,
|
| 128 |
+
"loss": 0.2252,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.10112581473434723,
|
| 133 |
+
"eval_loss": 0.25023654103279114,
|
| 134 |
+
"eval_runtime": 56.1603,
|
| 135 |
+
"eval_samples_per_second": 18.981,
|
| 136 |
+
"eval_steps_per_second": 18.981,
|
| 137 |
+
"step": 16
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.10744617815524393,
|
| 141 |
+
"grad_norm": 0.1298828125,
|
| 142 |
+
"learning_rate": 0.0001998877080632712,
|
| 143 |
+
"loss": 0.2512,
|
| 144 |
+
"step": 17
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.11376654157614063,
|
| 148 |
+
"grad_norm": 0.193359375,
|
| 149 |
+
"learning_rate": 0.00019985334138511237,
|
| 150 |
+
"loss": 0.2659,
|
| 151 |
+
"step": 18
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.12008690499703734,
|
| 155 |
+
"grad_norm": 0.142578125,
|
| 156 |
+
"learning_rate": 0.00019981439724516716,
|
| 157 |
+
"loss": 0.2415,
|
| 158 |
+
"step": 19
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.12640726841793404,
|
| 162 |
+
"grad_norm": 0.126953125,
|
| 163 |
+
"learning_rate": 0.0001997708774287068,
|
| 164 |
+
"loss": 0.2661,
|
| 165 |
+
"step": 20
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.13272763183883074,
|
| 169 |
+
"grad_norm": 0.1142578125,
|
| 170 |
+
"learning_rate": 0.00019972278393076023,
|
| 171 |
+
"loss": 0.2046,
|
| 172 |
+
"step": 21
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.13904799525972744,
|
| 176 |
+
"grad_norm": 0.11865234375,
|
| 177 |
+
"learning_rate": 0.0001996701189560223,
|
| 178 |
+
"loss": 0.2087,
|
| 179 |
+
"step": 22
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.14536835868062414,
|
| 183 |
+
"grad_norm": 0.1435546875,
|
| 184 |
+
"learning_rate": 0.00019961288491875278,
|
| 185 |
+
"loss": 0.2246,
|
| 186 |
+
"step": 23
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.15168872210152085,
|
| 190 |
+
"grad_norm": 0.119140625,
|
| 191 |
+
"learning_rate": 0.00019955108444266585,
|
| 192 |
+
"loss": 0.1831,
|
| 193 |
+
"step": 24
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.15800908552241755,
|
| 197 |
+
"grad_norm": 0.1376953125,
|
| 198 |
+
"learning_rate": 0.00019948472036080949,
|
| 199 |
+
"loss": 0.2398,
|
| 200 |
+
"step": 25
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.16432944894331425,
|
| 204 |
+
"grad_norm": 0.1201171875,
|
| 205 |
+
"learning_rate": 0.00019941379571543596,
|
| 206 |
+
"loss": 0.189,
|
| 207 |
+
"step": 26
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.17064981236421095,
|
| 211 |
+
"grad_norm": 0.12890625,
|
| 212 |
+
"learning_rate": 0.00019933831375786216,
|
| 213 |
+
"loss": 0.2156,
|
| 214 |
+
"step": 27
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 0.17697017578510765,
|
| 218 |
+
"grad_norm": 0.1259765625,
|
| 219 |
+
"learning_rate": 0.00019925827794832056,
|
| 220 |
+
"loss": 0.2012,
|
| 221 |
+
"step": 28
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.18329053920600435,
|
| 225 |
+
"grad_norm": 0.11572265625,
|
| 226 |
+
"learning_rate": 0.00019917369195580063,
|
| 227 |
+
"loss": 0.1602,
|
| 228 |
+
"step": 29
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.18961090262690106,
|
| 232 |
+
"grad_norm": 0.12890625,
|
| 233 |
+
"learning_rate": 0.00019908455965788067,
|
| 234 |
+
"loss": 0.1976,
|
| 235 |
+
"step": 30
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.19593126604779776,
|
| 239 |
+
"grad_norm": 0.11279296875,
|
| 240 |
+
"learning_rate": 0.00019899088514055004,
|
| 241 |
+
"loss": 0.1874,
|
| 242 |
+
"step": 31
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.20225162946869446,
|
| 246 |
+
"grad_norm": 0.1357421875,
|
| 247 |
+
"learning_rate": 0.00019889267269802176,
|
| 248 |
+
"loss": 0.2024,
|
| 249 |
+
"step": 32
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.20225162946869446,
|
| 253 |
+
"eval_loss": 0.2020280808210373,
|
| 254 |
+
"eval_runtime": 56.2737,
|
| 255 |
+
"eval_samples_per_second": 18.943,
|
| 256 |
+
"eval_steps_per_second": 18.943,
|
| 257 |
+
"step": 32
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.20857199288959116,
|
| 261 |
+
"grad_norm": 0.1123046875,
|
| 262 |
+
"learning_rate": 0.00019878992683253582,
|
| 263 |
+
"loss": 0.1819,
|
| 264 |
+
"step": 33
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.21489235631048786,
|
| 268 |
+
"grad_norm": 0.1123046875,
|
| 269 |
+
"learning_rate": 0.00019868265225415265,
|
| 270 |
+
"loss": 0.1794,
|
| 271 |
+
"step": 34
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.22121271973138457,
|
| 275 |
+
"grad_norm": 0.12060546875,
|
| 276 |
+
"learning_rate": 0.00019857085388053723,
|
| 277 |
+
"loss": 0.1943,
|
| 278 |
+
"step": 35
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.22753308315228127,
|
| 282 |
+
"grad_norm": 0.134765625,
|
| 283 |
+
"learning_rate": 0.00019845453683673368,
|
| 284 |
+
"loss": 0.2265,
|
| 285 |
+
"step": 36
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.23385344657317797,
|
| 289 |
+
"grad_norm": 0.115234375,
|
| 290 |
+
"learning_rate": 0.00019833370645493047,
|
| 291 |
+
"loss": 0.181,
|
| 292 |
+
"step": 37
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 0.24017380999407467,
|
| 296 |
+
"grad_norm": 0.12353515625,
|
| 297 |
+
"learning_rate": 0.0001982083682742156,
|
| 298 |
+
"loss": 0.1946,
|
| 299 |
+
"step": 38
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.24649417341497137,
|
| 303 |
+
"grad_norm": 0.107421875,
|
| 304 |
+
"learning_rate": 0.00019807852804032305,
|
| 305 |
+
"loss": 0.1418,
|
| 306 |
+
"step": 39
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.2528145368358681,
|
| 310 |
+
"grad_norm": 0.11572265625,
|
| 311 |
+
"learning_rate": 0.00019794419170536916,
|
| 312 |
+
"loss": 0.1651,
|
| 313 |
+
"step": 40
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.2591349002567648,
|
| 317 |
+
"grad_norm": 0.1337890625,
|
| 318 |
+
"learning_rate": 0.00019780536542758,
|
| 319 |
+
"loss": 0.1821,
|
| 320 |
+
"step": 41
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.2654552636776615,
|
| 324 |
+
"grad_norm": 0.12353515625,
|
| 325 |
+
"learning_rate": 0.00019766205557100868,
|
| 326 |
+
"loss": 0.1913,
|
| 327 |
+
"step": 42
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.2717756270985582,
|
| 331 |
+
"grad_norm": 0.12451171875,
|
| 332 |
+
"learning_rate": 0.00019751426870524407,
|
| 333 |
+
"loss": 0.194,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.2780959905194549,
|
| 338 |
+
"grad_norm": 0.1162109375,
|
| 339 |
+
"learning_rate": 0.00019736201160510931,
|
| 340 |
+
"loss": 0.1832,
|
| 341 |
+
"step": 44
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.2844163539403516,
|
| 345 |
+
"grad_norm": 0.12353515625,
|
| 346 |
+
"learning_rate": 0.0001972052912503514,
|
| 347 |
+
"loss": 0.19,
|
| 348 |
+
"step": 45
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.2907367173612483,
|
| 352 |
+
"grad_norm": 0.11474609375,
|
| 353 |
+
"learning_rate": 0.00019704411482532116,
|
| 354 |
+
"loss": 0.1875,
|
| 355 |
+
"step": 46
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.297057080782145,
|
| 359 |
+
"grad_norm": 0.1123046875,
|
| 360 |
+
"learning_rate": 0.00019687848971864389,
|
| 361 |
+
"loss": 0.184,
|
| 362 |
+
"step": 47
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.3033774442030417,
|
| 366 |
+
"grad_norm": 0.107421875,
|
| 367 |
+
"learning_rate": 0.0001967084235228807,
|
| 368 |
+
"loss": 0.1581,
|
| 369 |
+
"step": 48
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.3033774442030417,
|
| 373 |
+
"eval_loss": 0.18037649989128113,
|
| 374 |
+
"eval_runtime": 56.5509,
|
| 375 |
+
"eval_samples_per_second": 18.85,
|
| 376 |
+
"eval_steps_per_second": 18.85,
|
| 377 |
+
"step": 48
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.3096978076239384,
|
| 381 |
+
"grad_norm": 0.10302734375,
|
| 382 |
+
"learning_rate": 0.00019653392403418043,
|
| 383 |
+
"loss": 0.1766,
|
| 384 |
+
"step": 49
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.3160181710448351,
|
| 388 |
+
"grad_norm": 0.11669921875,
|
| 389 |
+
"learning_rate": 0.0001963549992519223,
|
| 390 |
+
"loss": 0.1888,
|
| 391 |
+
"step": 50
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.3223385344657318,
|
| 395 |
+
"grad_norm": 0.10009765625,
|
| 396 |
+
"learning_rate": 0.00019617165737834916,
|
| 397 |
+
"loss": 0.139,
|
| 398 |
+
"step": 51
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.3286588978866285,
|
| 402 |
+
"grad_norm": 0.12451171875,
|
| 403 |
+
"learning_rate": 0.0001959839068181914,
|
| 404 |
+
"loss": 0.1845,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.3349792613075252,
|
| 409 |
+
"grad_norm": 0.12060546875,
|
| 410 |
+
"learning_rate": 0.00019579175617828187,
|
| 411 |
+
"loss": 0.2043,
|
| 412 |
+
"step": 53
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 0.3412996247284219,
|
| 416 |
+
"grad_norm": 0.1142578125,
|
| 417 |
+
"learning_rate": 0.00019559521426716118,
|
| 418 |
+
"loss": 0.1678,
|
| 419 |
+
"step": 54
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.3476199881493186,
|
| 423 |
+
"grad_norm": 0.11669921875,
|
| 424 |
+
"learning_rate": 0.0001953942900946739,
|
| 425 |
+
"loss": 0.1671,
|
| 426 |
+
"step": 55
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.3539403515702153,
|
| 430 |
+
"grad_norm": 0.115234375,
|
| 431 |
+
"learning_rate": 0.00019518899287155556,
|
| 432 |
+
"loss": 0.1724,
|
| 433 |
+
"step": 56
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.360260714991112,
|
| 437 |
+
"grad_norm": 0.126953125,
|
| 438 |
+
"learning_rate": 0.0001949793320090105,
|
| 439 |
+
"loss": 0.177,
|
| 440 |
+
"step": 57
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.3665810784120087,
|
| 444 |
+
"grad_norm": 0.1259765625,
|
| 445 |
+
"learning_rate": 0.00019476531711828027,
|
| 446 |
+
"loss": 0.1644,
|
| 447 |
+
"step": 58
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.3729014418329054,
|
| 451 |
+
"grad_norm": 0.1142578125,
|
| 452 |
+
"learning_rate": 0.0001945469580102031,
|
| 453 |
+
"loss": 0.1564,
|
| 454 |
+
"step": 59
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 0.3792218052538021,
|
| 458 |
+
"grad_norm": 0.10302734375,
|
| 459 |
+
"learning_rate": 0.0001943242646947643,
|
| 460 |
+
"loss": 0.1353,
|
| 461 |
+
"step": 60
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.3855421686746988,
|
| 465 |
+
"grad_norm": 0.10791015625,
|
| 466 |
+
"learning_rate": 0.00019409724738063714,
|
| 467 |
+
"loss": 0.1622,
|
| 468 |
+
"step": 61
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.3918625320955955,
|
| 472 |
+
"grad_norm": 0.10791015625,
|
| 473 |
+
"learning_rate": 0.00019386591647471506,
|
| 474 |
+
"loss": 0.1564,
|
| 475 |
+
"step": 62
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.3981828955164922,
|
| 479 |
+
"grad_norm": 0.11376953125,
|
| 480 |
+
"learning_rate": 0.00019363028258163447,
|
| 481 |
+
"loss": 0.176,
|
| 482 |
+
"step": 63
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.4045032589373889,
|
| 486 |
+
"grad_norm": 0.1162109375,
|
| 487 |
+
"learning_rate": 0.00019339035650328869,
|
| 488 |
+
"loss": 0.1912,
|
| 489 |
+
"step": 64
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.4045032589373889,
|
| 493 |
+
"eval_loss": 0.1681559830904007,
|
| 494 |
+
"eval_runtime": 56.4912,
|
| 495 |
+
"eval_samples_per_second": 18.87,
|
| 496 |
+
"eval_steps_per_second": 18.87,
|
| 497 |
+
"step": 64
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.4108236223582856,
|
| 501 |
+
"grad_norm": 0.11572265625,
|
| 502 |
+
"learning_rate": 0.0001931461492383327,
|
| 503 |
+
"loss": 0.1959,
|
| 504 |
+
"step": 65
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.4171439857791823,
|
| 508 |
+
"grad_norm": 0.0966796875,
|
| 509 |
+
"learning_rate": 0.00019289767198167916,
|
| 510 |
+
"loss": 0.1379,
|
| 511 |
+
"step": 66
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.423464349200079,
|
| 515 |
+
"grad_norm": 0.1142578125,
|
| 516 |
+
"learning_rate": 0.00019264493612398481,
|
| 517 |
+
"loss": 0.1669,
|
| 518 |
+
"step": 67
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.42978471262097573,
|
| 522 |
+
"grad_norm": 0.09619140625,
|
| 523 |
+
"learning_rate": 0.0001923879532511287,
|
| 524 |
+
"loss": 0.1279,
|
| 525 |
+
"step": 68
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.43610507604187243,
|
| 529 |
+
"grad_norm": 0.10986328125,
|
| 530 |
+
"learning_rate": 0.0001921267351436808,
|
| 531 |
+
"loss": 0.1535,
|
| 532 |
+
"step": 69
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.44242543946276913,
|
| 536 |
+
"grad_norm": 0.11962890625,
|
| 537 |
+
"learning_rate": 0.0001918612937763622,
|
| 538 |
+
"loss": 0.1697,
|
| 539 |
+
"step": 70
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.44874580288366583,
|
| 543 |
+
"grad_norm": 0.107421875,
|
| 544 |
+
"learning_rate": 0.00019159164131749587,
|
| 545 |
+
"loss": 0.166,
|
| 546 |
+
"step": 71
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.45506616630456254,
|
| 550 |
+
"grad_norm": 0.10986328125,
|
| 551 |
+
"learning_rate": 0.00019131779012844912,
|
| 552 |
+
"loss": 0.1508,
|
| 553 |
+
"step": 72
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.46138652972545924,
|
| 557 |
+
"grad_norm": 0.1201171875,
|
| 558 |
+
"learning_rate": 0.00019103975276306678,
|
| 559 |
+
"loss": 0.1617,
|
| 560 |
+
"step": 73
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.46770689314635594,
|
| 564 |
+
"grad_norm": 0.1103515625,
|
| 565 |
+
"learning_rate": 0.00019075754196709572,
|
| 566 |
+
"loss": 0.1436,
|
| 567 |
+
"step": 74
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.47402725656725264,
|
| 571 |
+
"grad_norm": 0.1025390625,
|
| 572 |
+
"learning_rate": 0.0001904711706776006,
|
| 573 |
+
"loss": 0.1408,
|
| 574 |
+
"step": 75
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 0.48034761998814934,
|
| 578 |
+
"grad_norm": 0.1171875,
|
| 579 |
+
"learning_rate": 0.00019018065202237083,
|
| 580 |
+
"loss": 0.1594,
|
| 581 |
+
"step": 76
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.48666798340904605,
|
| 585 |
+
"grad_norm": 0.10546875,
|
| 586 |
+
"learning_rate": 0.00018988599931931866,
|
| 587 |
+
"loss": 0.1394,
|
| 588 |
+
"step": 77
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 0.49298834682994275,
|
| 592 |
+
"grad_norm": 0.111328125,
|
| 593 |
+
"learning_rate": 0.0001895872260758688,
|
| 594 |
+
"loss": 0.1448,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 0.49930871025083945,
|
| 599 |
+
"grad_norm": 0.111328125,
|
| 600 |
+
"learning_rate": 0.00018928434598833912,
|
| 601 |
+
"loss": 0.156,
|
| 602 |
+
"step": 79
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 0.5056290736717362,
|
| 606 |
+
"grad_norm": 0.125,
|
| 607 |
+
"learning_rate": 0.00018897737294131284,
|
| 608 |
+
"loss": 0.1692,
|
| 609 |
+
"step": 80
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.5056290736717362,
|
| 613 |
+
"eval_loss": 0.15801414847373962,
|
| 614 |
+
"eval_runtime": 57.0109,
|
| 615 |
+
"eval_samples_per_second": 18.698,
|
| 616 |
+
"eval_steps_per_second": 18.698,
|
| 617 |
+
"step": 80
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.5119494370926329,
|
| 621 |
+
"grad_norm": 0.10400390625,
|
| 622 |
+
"learning_rate": 0.00018866632100700197,
|
| 623 |
+
"loss": 0.1318,
|
| 624 |
+
"step": 81
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 0.5182698005135296,
|
| 628 |
+
"grad_norm": 0.1357421875,
|
| 629 |
+
"learning_rate": 0.0001883512044446023,
|
| 630 |
+
"loss": 0.203,
|
| 631 |
+
"step": 82
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.5245901639344263,
|
| 635 |
+
"grad_norm": 0.126953125,
|
| 636 |
+
"learning_rate": 0.00018803203769963967,
|
| 637 |
+
"loss": 0.1968,
|
| 638 |
+
"step": 83
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 0.530910527355323,
|
| 642 |
+
"grad_norm": 0.1025390625,
|
| 643 |
+
"learning_rate": 0.0001877088354033077,
|
| 644 |
+
"loss": 0.139,
|
| 645 |
+
"step": 84
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 0.5372308907762197,
|
| 649 |
+
"grad_norm": 0.1044921875,
|
| 650 |
+
"learning_rate": 0.0001873816123717973,
|
| 651 |
+
"loss": 0.1301,
|
| 652 |
+
"step": 85
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"epoch": 0.5435512541971164,
|
| 656 |
+
"grad_norm": 0.107421875,
|
| 657 |
+
"learning_rate": 0.0001870503836056172,
|
| 658 |
+
"loss": 0.1253,
|
| 659 |
+
"step": 86
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 0.5498716176180131,
|
| 663 |
+
"grad_norm": 0.11474609375,
|
| 664 |
+
"learning_rate": 0.00018671516428890648,
|
| 665 |
+
"loss": 0.1575,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 0.5561919810389098,
|
| 670 |
+
"grad_norm": 0.12353515625,
|
| 671 |
+
"learning_rate": 0.00018637596978873835,
|
| 672 |
+
"loss": 0.1627,
|
| 673 |
+
"step": 88
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.5625123444598065,
|
| 677 |
+
"grad_norm": 0.1279296875,
|
| 678 |
+
"learning_rate": 0.00018603281565441585,
|
| 679 |
+
"loss": 0.1762,
|
| 680 |
+
"step": 89
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 0.5688327078807032,
|
| 684 |
+
"grad_norm": 0.1259765625,
|
| 685 |
+
"learning_rate": 0.00018568571761675893,
|
| 686 |
+
"loss": 0.1537,
|
| 687 |
+
"step": 90
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 0.5751530713015999,
|
| 691 |
+
"grad_norm": 0.1259765625,
|
| 692 |
+
"learning_rate": 0.00018533469158738344,
|
| 693 |
+
"loss": 0.1752,
|
| 694 |
+
"step": 91
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.5814734347224966,
|
| 698 |
+
"grad_norm": 0.11865234375,
|
| 699 |
+
"learning_rate": 0.0001849797536579715,
|
| 700 |
+
"loss": 0.1441,
|
| 701 |
+
"step": 92
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.5877937981433933,
|
| 705 |
+
"grad_norm": 0.1083984375,
|
| 706 |
+
"learning_rate": 0.00018462092009953408,
|
| 707 |
+
"loss": 0.1471,
|
| 708 |
+
"step": 93
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.59411416156429,
|
| 712 |
+
"grad_norm": 0.1201171875,
|
| 713 |
+
"learning_rate": 0.0001842582073616649,
|
| 714 |
+
"loss": 0.1584,
|
| 715 |
+
"step": 94
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.6004345249851867,
|
| 719 |
+
"grad_norm": 0.1005859375,
|
| 720 |
+
"learning_rate": 0.00018389163207178656,
|
| 721 |
+
"loss": 0.1255,
|
| 722 |
+
"step": 95
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.6067548884060834,
|
| 726 |
+
"grad_norm": 0.10595703125,
|
| 727 |
+
"learning_rate": 0.000183521211034388,
|
| 728 |
+
"loss": 0.1401,
|
| 729 |
+
"step": 96
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.6067548884060834,
|
| 733 |
+
"eval_loss": 0.1516103893518448,
|
| 734 |
+
"eval_runtime": 57.9856,
|
| 735 |
+
"eval_samples_per_second": 18.384,
|
| 736 |
+
"eval_steps_per_second": 18.384,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.6130752518269801,
|
| 741 |
+
"grad_norm": 0.0966796875,
|
| 742 |
+
"learning_rate": 0.00018314696123025454,
|
| 743 |
+
"loss": 0.1359,
|
| 744 |
+
"step": 97
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.6193956152478768,
|
| 748 |
+
"grad_norm": 0.107421875,
|
| 749 |
+
"learning_rate": 0.00018276889981568906,
|
| 750 |
+
"loss": 0.1354,
|
| 751 |
+
"step": 98
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.6257159786687735,
|
| 755 |
+
"grad_norm": 0.10986328125,
|
| 756 |
+
"learning_rate": 0.00018238704412172586,
|
| 757 |
+
"loss": 0.1315,
|
| 758 |
+
"step": 99
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.6320363420896702,
|
| 762 |
+
"grad_norm": 0.1083984375,
|
| 763 |
+
"learning_rate": 0.0001820014116533359,
|
| 764 |
+
"loss": 0.1522,
|
| 765 |
+
"step": 100
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.6383567055105669,
|
| 769 |
+
"grad_norm": 0.11767578125,
|
| 770 |
+
"learning_rate": 0.00018161202008862458,
|
| 771 |
+
"loss": 0.1754,
|
| 772 |
+
"step": 101
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.6446770689314636,
|
| 776 |
+
"grad_norm": 0.1025390625,
|
| 777 |
+
"learning_rate": 0.00018121888727802113,
|
| 778 |
+
"loss": 0.1368,
|
| 779 |
+
"step": 102
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.6509974323523603,
|
| 783 |
+
"grad_norm": 0.09814453125,
|
| 784 |
+
"learning_rate": 0.00018082203124346045,
|
| 785 |
+
"loss": 0.14,
|
| 786 |
+
"step": 103
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.657317795773257,
|
| 790 |
+
"grad_norm": 0.115234375,
|
| 791 |
+
"learning_rate": 0.0001804214701775569,
|
| 792 |
+
"loss": 0.157,
|
| 793 |
+
"step": 104
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.6636381591941537,
|
| 797 |
+
"grad_norm": 0.11376953125,
|
| 798 |
+
"learning_rate": 0.00018001722244277035,
|
| 799 |
+
"loss": 0.1575,
|
| 800 |
+
"step": 105
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.6699585226150504,
|
| 804 |
+
"grad_norm": 0.09765625,
|
| 805 |
+
"learning_rate": 0.00017960930657056438,
|
| 806 |
+
"loss": 0.1229,
|
| 807 |
+
"step": 106
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.6762788860359471,
|
| 811 |
+
"grad_norm": 0.099609375,
|
| 812 |
+
"learning_rate": 0.00017919774126055673,
|
| 813 |
+
"loss": 0.1294,
|
| 814 |
+
"step": 107
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.6825992494568438,
|
| 818 |
+
"grad_norm": 0.09716796875,
|
| 819 |
+
"learning_rate": 0.00017878254537966216,
|
| 820 |
+
"loss": 0.1381,
|
| 821 |
+
"step": 108
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.6889196128777405,
|
| 825 |
+
"grad_norm": 0.11083984375,
|
| 826 |
+
"learning_rate": 0.0001783637379612275,
|
| 827 |
+
"loss": 0.1494,
|
| 828 |
+
"step": 109
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.6952399762986372,
|
| 832 |
+
"grad_norm": 0.107421875,
|
| 833 |
+
"learning_rate": 0.00017794133820415916,
|
| 834 |
+
"loss": 0.1527,
|
| 835 |
+
"step": 110
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.7015603397195339,
|
| 839 |
+
"grad_norm": 0.111328125,
|
| 840 |
+
"learning_rate": 0.00017751536547204295,
|
| 841 |
+
"loss": 0.1335,
|
| 842 |
+
"step": 111
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.7078807031404306,
|
| 846 |
+
"grad_norm": 0.10400390625,
|
| 847 |
+
"learning_rate": 0.0001770858392922565,
|
| 848 |
+
"loss": 0.1204,
|
| 849 |
+
"step": 112
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.7078807031404306,
|
| 853 |
+
"eval_loss": 0.14627417922019958,
|
| 854 |
+
"eval_runtime": 56.8973,
|
| 855 |
+
"eval_samples_per_second": 18.736,
|
| 856 |
+
"eval_steps_per_second": 18.736,
|
| 857 |
+
"step": 112
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.7142010665613273,
|
| 861 |
+
"grad_norm": 0.09814453125,
|
| 862 |
+
"learning_rate": 0.00017665277935507398,
|
| 863 |
+
"loss": 0.122,
|
| 864 |
+
"step": 113
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.720521429982224,
|
| 868 |
+
"grad_norm": 0.0966796875,
|
| 869 |
+
"learning_rate": 0.00017621620551276366,
|
| 870 |
+
"loss": 0.134,
|
| 871 |
+
"step": 114
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.7268417934031207,
|
| 875 |
+
"grad_norm": 0.09765625,
|
| 876 |
+
"learning_rate": 0.00017577613777867762,
|
| 877 |
+
"loss": 0.1185,
|
| 878 |
+
"step": 115
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.7331621568240174,
|
| 882 |
+
"grad_norm": 0.1064453125,
|
| 883 |
+
"learning_rate": 0.00017533259632633442,
|
| 884 |
+
"loss": 0.1337,
|
| 885 |
+
"step": 116
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.7394825202449141,
|
| 889 |
+
"grad_norm": 0.130859375,
|
| 890 |
+
"learning_rate": 0.00017488560148849427,
|
| 891 |
+
"loss": 0.1503,
|
| 892 |
+
"step": 117
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.7458028836658108,
|
| 896 |
+
"grad_norm": 0.10791015625,
|
| 897 |
+
"learning_rate": 0.00017443517375622704,
|
| 898 |
+
"loss": 0.1594,
|
| 899 |
+
"step": 118
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.7521232470867075,
|
| 903 |
+
"grad_norm": 0.1181640625,
|
| 904 |
+
"learning_rate": 0.0001739813337779727,
|
| 905 |
+
"loss": 0.1397,
|
| 906 |
+
"step": 119
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.7584436105076042,
|
| 910 |
+
"grad_norm": 0.10302734375,
|
| 911 |
+
"learning_rate": 0.00017352410235859503,
|
| 912 |
+
"loss": 0.1314,
|
| 913 |
+
"step": 120
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.7647639739285009,
|
| 917 |
+
"grad_norm": 0.115234375,
|
| 918 |
+
"learning_rate": 0.0001730635004584276,
|
| 919 |
+
"loss": 0.1466,
|
| 920 |
+
"step": 121
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.7710843373493976,
|
| 924 |
+
"grad_norm": 0.0986328125,
|
| 925 |
+
"learning_rate": 0.0001725995491923131,
|
| 926 |
+
"loss": 0.1147,
|
| 927 |
+
"step": 122
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.7774047007702943,
|
| 931 |
+
"grad_norm": 0.134765625,
|
| 932 |
+
"learning_rate": 0.0001721322698286354,
|
| 933 |
+
"loss": 0.1637,
|
| 934 |
+
"step": 123
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.783725064191191,
|
| 938 |
+
"grad_norm": 0.11279296875,
|
| 939 |
+
"learning_rate": 0.00017166168378834448,
|
| 940 |
+
"loss": 0.138,
|
| 941 |
+
"step": 124
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.7900454276120877,
|
| 945 |
+
"grad_norm": 0.11767578125,
|
| 946 |
+
"learning_rate": 0.00017118781264397446,
|
| 947 |
+
"loss": 0.1511,
|
| 948 |
+
"step": 125
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.7963657910329844,
|
| 952 |
+
"grad_norm": 0.115234375,
|
| 953 |
+
"learning_rate": 0.00017071067811865476,
|
| 954 |
+
"loss": 0.1407,
|
| 955 |
+
"step": 126
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.8026861544538811,
|
| 959 |
+
"grad_norm": 0.1064453125,
|
| 960 |
+
"learning_rate": 0.0001702303020851142,
|
| 961 |
+
"loss": 0.1342,
|
| 962 |
+
"step": 127
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.8090065178747778,
|
| 966 |
+
"grad_norm": 0.11865234375,
|
| 967 |
+
"learning_rate": 0.00016974670656467824,
|
| 968 |
+
"loss": 0.1336,
|
| 969 |
+
"step": 128
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.8090065178747778,
|
| 973 |
+
"eval_loss": 0.14203742146492004,
|
| 974 |
+
"eval_runtime": 58.4188,
|
| 975 |
+
"eval_samples_per_second": 18.248,
|
| 976 |
+
"eval_steps_per_second": 18.248,
|
| 977 |
+
"step": 128
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.8153268812956745,
|
| 981 |
+
"grad_norm": 0.1083984375,
|
| 982 |
+
"learning_rate": 0.0001692599137262597,
|
| 983 |
+
"loss": 0.1543,
|
| 984 |
+
"step": 129
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.8216472447165712,
|
| 988 |
+
"grad_norm": 0.0888671875,
|
| 989 |
+
"learning_rate": 0.00016876994588534234,
|
| 990 |
+
"loss": 0.1116,
|
| 991 |
+
"step": 130
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.827967608137468,
|
| 995 |
+
"grad_norm": 0.1044921875,
|
| 996 |
+
"learning_rate": 0.00016827682550295785,
|
| 997 |
+
"loss": 0.1267,
|
| 998 |
+
"step": 131
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.8342879715583646,
|
| 1002 |
+
"grad_norm": 0.10400390625,
|
| 1003 |
+
"learning_rate": 0.0001677805751846563,
|
| 1004 |
+
"loss": 0.1361,
|
| 1005 |
+
"step": 132
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.8406083349792614,
|
| 1009 |
+
"grad_norm": 0.11376953125,
|
| 1010 |
+
"learning_rate": 0.00016728121767946977,
|
| 1011 |
+
"loss": 0.1372,
|
| 1012 |
+
"step": 133
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.846928698400158,
|
| 1016 |
+
"grad_norm": 0.10498046875,
|
| 1017 |
+
"learning_rate": 0.00016677877587886956,
|
| 1018 |
+
"loss": 0.1258,
|
| 1019 |
+
"step": 134
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.8532490618210548,
|
| 1023 |
+
"grad_norm": 0.11669921875,
|
| 1024 |
+
"learning_rate": 0.00016627327281571678,
|
| 1025 |
+
"loss": 0.1427,
|
| 1026 |
+
"step": 135
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.8595694252419515,
|
| 1030 |
+
"grad_norm": 0.1328125,
|
| 1031 |
+
"learning_rate": 0.00016576473166320644,
|
| 1032 |
+
"loss": 0.187,
|
| 1033 |
+
"step": 136
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.8658897886628482,
|
| 1037 |
+
"grad_norm": 0.1044921875,
|
| 1038 |
+
"learning_rate": 0.00016525317573380525,
|
| 1039 |
+
"loss": 0.1417,
|
| 1040 |
+
"step": 137
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.8722101520837449,
|
| 1044 |
+
"grad_norm": 0.10107421875,
|
| 1045 |
+
"learning_rate": 0.00016473862847818277,
|
| 1046 |
+
"loss": 0.1399,
|
| 1047 |
+
"step": 138
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.8785305155046416,
|
| 1051 |
+
"grad_norm": 0.1025390625,
|
| 1052 |
+
"learning_rate": 0.00016422111348413657,
|
| 1053 |
+
"loss": 0.141,
|
| 1054 |
+
"step": 139
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.8848508789255383,
|
| 1058 |
+
"grad_norm": 0.1005859375,
|
| 1059 |
+
"learning_rate": 0.00016370065447551078,
|
| 1060 |
+
"loss": 0.1236,
|
| 1061 |
+
"step": 140
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.891171242346435,
|
| 1065 |
+
"grad_norm": 0.10205078125,
|
| 1066 |
+
"learning_rate": 0.0001631772753111086,
|
| 1067 |
+
"loss": 0.1236,
|
| 1068 |
+
"step": 141
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.8974916057673317,
|
| 1072 |
+
"grad_norm": 0.10302734375,
|
| 1073 |
+
"learning_rate": 0.00016265099998359866,
|
| 1074 |
+
"loss": 0.128,
|
| 1075 |
+
"step": 142
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.9038119691882284,
|
| 1079 |
+
"grad_norm": 0.09814453125,
|
| 1080 |
+
"learning_rate": 0.00016212185261841499,
|
| 1081 |
+
"loss": 0.1227,
|
| 1082 |
+
"step": 143
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.9101323326091251,
|
| 1086 |
+
"grad_norm": 0.1064453125,
|
| 1087 |
+
"learning_rate": 0.00016158985747265108,
|
| 1088 |
+
"loss": 0.1339,
|
| 1089 |
+
"step": 144
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.9101323326091251,
|
| 1093 |
+
"eval_loss": 0.1379576325416565,
|
| 1094 |
+
"eval_runtime": 61.2763,
|
| 1095 |
+
"eval_samples_per_second": 17.397,
|
| 1096 |
+
"eval_steps_per_second": 17.397,
|
| 1097 |
+
"step": 144
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.9164526960300218,
|
| 1101 |
+
"grad_norm": 0.10009765625,
|
| 1102 |
+
"learning_rate": 0.00016105503893394806,
|
| 1103 |
+
"loss": 0.1255,
|
| 1104 |
+
"step": 145
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.9227730594509185,
|
| 1108 |
+
"grad_norm": 0.103515625,
|
| 1109 |
+
"learning_rate": 0.00016051742151937655,
|
| 1110 |
+
"loss": 0.1237,
|
| 1111 |
+
"step": 146
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.9290934228718152,
|
| 1115 |
+
"grad_norm": 0.10009765625,
|
| 1116 |
+
"learning_rate": 0.0001599770298743128,
|
| 1117 |
+
"loss": 0.1212,
|
| 1118 |
+
"step": 147
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.9354137862927119,
|
| 1122 |
+
"grad_norm": 0.1123046875,
|
| 1123 |
+
"learning_rate": 0.000159433888771309,
|
| 1124 |
+
"loss": 0.1402,
|
| 1125 |
+
"step": 148
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.9417341497136086,
|
| 1129 |
+
"grad_norm": 0.11865234375,
|
| 1130 |
+
"learning_rate": 0.00015888802310895742,
|
| 1131 |
+
"loss": 0.1475,
|
| 1132 |
+
"step": 149
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.9480545131345053,
|
| 1136 |
+
"grad_norm": 0.1064453125,
|
| 1137 |
+
"learning_rate": 0.00015833945791074943,
|
| 1138 |
+
"loss": 0.1133,
|
| 1139 |
+
"step": 150
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.954374876555402,
|
| 1143 |
+
"grad_norm": 0.10986328125,
|
| 1144 |
+
"learning_rate": 0.00015778821832392777,
|
| 1145 |
+
"loss": 0.1336,
|
| 1146 |
+
"step": 151
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.9606952399762987,
|
| 1150 |
+
"grad_norm": 0.1162109375,
|
| 1151 |
+
"learning_rate": 0.0001572343296183344,
|
| 1152 |
+
"loss": 0.1479,
|
| 1153 |
+
"step": 152
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.9670156033971954,
|
| 1157 |
+
"grad_norm": 0.10546875,
|
| 1158 |
+
"learning_rate": 0.00015667781718525157,
|
| 1159 |
+
"loss": 0.1291,
|
| 1160 |
+
"step": 153
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.9733359668180921,
|
| 1164 |
+
"grad_norm": 0.11181640625,
|
| 1165 |
+
"learning_rate": 0.00015611870653623825,
|
| 1166 |
+
"loss": 0.1337,
|
| 1167 |
+
"step": 154
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.9796563302389888,
|
| 1171 |
+
"grad_norm": 0.09228515625,
|
| 1172 |
+
"learning_rate": 0.00015555702330196023,
|
| 1173 |
+
"loss": 0.1024,
|
| 1174 |
+
"step": 155
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.9859766936598855,
|
| 1178 |
+
"grad_norm": 0.10791015625,
|
| 1179 |
+
"learning_rate": 0.0001549927932310155,
|
| 1180 |
+
"loss": 0.1565,
|
| 1181 |
+
"step": 156
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.9922970570807822,
|
| 1185 |
+
"grad_norm": 0.10595703125,
|
| 1186 |
+
"learning_rate": 0.0001544260421887537,
|
| 1187 |
+
"loss": 0.1328,
|
| 1188 |
+
"step": 157
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.9986174205016789,
|
| 1192 |
+
"grad_norm": 0.1142578125,
|
| 1193 |
+
"learning_rate": 0.00015385679615609042,
|
| 1194 |
+
"loss": 0.164,
|
| 1195 |
+
"step": 158
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 1.0049377839225755,
|
| 1199 |
+
"grad_norm": 0.09814453125,
|
| 1200 |
+
"learning_rate": 0.00015328508122831636,
|
| 1201 |
+
"loss": 0.1184,
|
| 1202 |
+
"step": 159
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 1.0112581473434723,
|
| 1206 |
+
"grad_norm": 0.08935546875,
|
| 1207 |
+
"learning_rate": 0.00015271092361390077,
|
| 1208 |
+
"loss": 0.101,
|
| 1209 |
+
"step": 160
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 1.0112581473434723,
|
| 1213 |
+
"eval_loss": 0.13463501632213593,
|
| 1214 |
+
"eval_runtime": 57.8932,
|
| 1215 |
+
"eval_samples_per_second": 18.413,
|
| 1216 |
+
"eval_steps_per_second": 18.413,
|
| 1217 |
+
"step": 160
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 1.017578510764369,
|
| 1221 |
+
"grad_norm": 0.1005859375,
|
| 1222 |
+
"learning_rate": 0.0001521343496332903,
|
| 1223 |
+
"loss": 0.118,
|
| 1224 |
+
"step": 161
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 1.0238988741852657,
|
| 1228 |
+
"grad_norm": 0.087890625,
|
| 1229 |
+
"learning_rate": 0.00015155538571770218,
|
| 1230 |
+
"loss": 0.0956,
|
| 1231 |
+
"step": 162
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 1.0302192376061623,
|
| 1235 |
+
"grad_norm": 0.09912109375,
|
| 1236 |
+
"learning_rate": 0.00015097405840791276,
|
| 1237 |
+
"loss": 0.1089,
|
| 1238 |
+
"step": 163
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 1.036539601027059,
|
| 1242 |
+
"grad_norm": 0.0927734375,
|
| 1243 |
+
"learning_rate": 0.00015039039435304078,
|
| 1244 |
+
"loss": 0.093,
|
| 1245 |
+
"step": 164
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 1.0428599644479557,
|
| 1249 |
+
"grad_norm": 0.126953125,
|
| 1250 |
+
"learning_rate": 0.00014980442030932558,
|
| 1251 |
+
"loss": 0.1443,
|
| 1252 |
+
"step": 165
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 1.0491803278688525,
|
| 1256 |
+
"grad_norm": 0.10009765625,
|
| 1257 |
+
"learning_rate": 0.00014921616313890072,
|
| 1258 |
+
"loss": 0.1039,
|
| 1259 |
+
"step": 166
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 1.055500691289749,
|
| 1263 |
+
"grad_norm": 0.09619140625,
|
| 1264 |
+
"learning_rate": 0.00014862564980856258,
|
| 1265 |
+
"loss": 0.0798,
|
| 1266 |
+
"step": 167
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 1.061821054710646,
|
| 1270 |
+
"grad_norm": 0.12060546875,
|
| 1271 |
+
"learning_rate": 0.00014803290738853395,
|
| 1272 |
+
"loss": 0.1199,
|
| 1273 |
+
"step": 168
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 1.0681414181315425,
|
| 1277 |
+
"grad_norm": 0.11572265625,
|
| 1278 |
+
"learning_rate": 0.00014743796305122331,
|
| 1279 |
+
"loss": 0.1028,
|
| 1280 |
+
"step": 169
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 1.0744617815524393,
|
| 1284 |
+
"grad_norm": 0.10498046875,
|
| 1285 |
+
"learning_rate": 0.00014684084406997903,
|
| 1286 |
+
"loss": 0.097,
|
| 1287 |
+
"step": 170
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 1.080782144973336,
|
| 1291 |
+
"grad_norm": 0.10302734375,
|
| 1292 |
+
"learning_rate": 0.00014624157781783926,
|
| 1293 |
+
"loss": 0.0943,
|
| 1294 |
+
"step": 171
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 1.0871025083942327,
|
| 1298 |
+
"grad_norm": 0.1123046875,
|
| 1299 |
+
"learning_rate": 0.0001456401917662769,
|
| 1300 |
+
"loss": 0.0981,
|
| 1301 |
+
"step": 172
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 1.0934228718151293,
|
| 1305 |
+
"grad_norm": 0.10595703125,
|
| 1306 |
+
"learning_rate": 0.00014503671348394057,
|
| 1307 |
+
"loss": 0.1008,
|
| 1308 |
+
"step": 173
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 1.0997432352360261,
|
| 1312 |
+
"grad_norm": 0.12060546875,
|
| 1313 |
+
"learning_rate": 0.00014443117063539038,
|
| 1314 |
+
"loss": 0.1239,
|
| 1315 |
+
"step": 174
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 1.1060635986569227,
|
| 1319 |
+
"grad_norm": 0.11474609375,
|
| 1320 |
+
"learning_rate": 0.00014382359097983013,
|
| 1321 |
+
"loss": 0.1035,
|
| 1322 |
+
"step": 175
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 1.1123839620778195,
|
| 1326 |
+
"grad_norm": 0.0966796875,
|
| 1327 |
+
"learning_rate": 0.00014321400236983457,
|
| 1328 |
+
"loss": 0.0871,
|
| 1329 |
+
"step": 176
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 1.1123839620778195,
|
| 1333 |
+
"eval_loss": 0.13297832012176514,
|
| 1334 |
+
"eval_runtime": 57.7156,
|
| 1335 |
+
"eval_samples_per_second": 18.47,
|
| 1336 |
+
"eval_steps_per_second": 18.47,
|
| 1337 |
+
"step": 176
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 1.1187043254987161,
|
| 1341 |
+
"grad_norm": 0.10693359375,
|
| 1342 |
+
"learning_rate": 0.00014260243275007265,
|
| 1343 |
+
"loss": 0.1073,
|
| 1344 |
+
"step": 177
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"epoch": 1.125024688919613,
|
| 1348 |
+
"grad_norm": 0.1083984375,
|
| 1349 |
+
"learning_rate": 0.00014198891015602646,
|
| 1350 |
+
"loss": 0.1054,
|
| 1351 |
+
"step": 178
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"epoch": 1.1313450523405095,
|
| 1355 |
+
"grad_norm": 0.0947265625,
|
| 1356 |
+
"learning_rate": 0.00014137346271270604,
|
| 1357 |
+
"loss": 0.0977,
|
| 1358 |
+
"step": 179
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 1.1376654157614063,
|
| 1362 |
+
"grad_norm": 0.08837890625,
|
| 1363 |
+
"learning_rate": 0.0001407561186333601,
|
| 1364 |
+
"loss": 0.0839,
|
| 1365 |
+
"step": 180
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 1.143985779182303,
|
| 1369 |
+
"grad_norm": 0.11181640625,
|
| 1370 |
+
"learning_rate": 0.00014013690621818262,
|
| 1371 |
+
"loss": 0.1173,
|
| 1372 |
+
"step": 181
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 1.1503061426031997,
|
| 1376 |
+
"grad_norm": 0.10302734375,
|
| 1377 |
+
"learning_rate": 0.00013951585385301555,
|
| 1378 |
+
"loss": 0.113,
|
| 1379 |
+
"step": 182
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 1.1566265060240963,
|
| 1383 |
+
"grad_norm": 0.10498046875,
|
| 1384 |
+
"learning_rate": 0.0001388929900080476,
|
| 1385 |
+
"loss": 0.0938,
|
| 1386 |
+
"step": 183
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 1.1629468694449931,
|
| 1390 |
+
"grad_norm": 0.10205078125,
|
| 1391 |
+
"learning_rate": 0.000138268343236509,
|
| 1392 |
+
"loss": 0.0953,
|
| 1393 |
+
"step": 184
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 1.1692672328658897,
|
| 1397 |
+
"grad_norm": 0.099609375,
|
| 1398 |
+
"learning_rate": 0.00013764194217336264,
|
| 1399 |
+
"loss": 0.0954,
|
| 1400 |
+
"step": 185
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 1.1755875962867866,
|
| 1404 |
+
"grad_norm": 0.10400390625,
|
| 1405 |
+
"learning_rate": 0.00013701381553399145,
|
| 1406 |
+
"loss": 0.0971,
|
| 1407 |
+
"step": 186
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 1.1819079597076831,
|
| 1411 |
+
"grad_norm": 0.107421875,
|
| 1412 |
+
"learning_rate": 0.00013638399211288188,
|
| 1413 |
+
"loss": 0.0995,
|
| 1414 |
+
"step": 187
|
| 1415 |
+
},
|
| 1416 |
+
{
|
| 1417 |
+
"epoch": 1.18822832312858,
|
| 1418 |
+
"grad_norm": 0.11328125,
|
| 1419 |
+
"learning_rate": 0.000135752500782304,
|
| 1420 |
+
"loss": 0.1199,
|
| 1421 |
+
"step": 188
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 1.1945486865494765,
|
| 1425 |
+
"grad_norm": 0.10498046875,
|
| 1426 |
+
"learning_rate": 0.00013511937049098805,
|
| 1427 |
+
"loss": 0.0885,
|
| 1428 |
+
"step": 189
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 1.2008690499703734,
|
| 1432 |
+
"grad_norm": 0.1005859375,
|
| 1433 |
+
"learning_rate": 0.00013448463026279704,
|
| 1434 |
+
"loss": 0.0957,
|
| 1435 |
+
"step": 190
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 1.20718941339127,
|
| 1439 |
+
"grad_norm": 0.08740234375,
|
| 1440 |
+
"learning_rate": 0.0001338483091953967,
|
| 1441 |
+
"loss": 0.0753,
|
| 1442 |
+
"step": 191
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 1.2135097768121668,
|
| 1446 |
+
"grad_norm": 0.12353515625,
|
| 1447 |
+
"learning_rate": 0.0001332104364589212,
|
| 1448 |
+
"loss": 0.1035,
|
| 1449 |
+
"step": 192
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 1.2135097768121668,
|
| 1453 |
+
"eval_loss": 0.13200590014457703,
|
| 1454 |
+
"eval_runtime": 58.9558,
|
| 1455 |
+
"eval_samples_per_second": 18.081,
|
| 1456 |
+
"eval_steps_per_second": 18.081,
|
| 1457 |
+
"step": 192
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 1.2198301402330634,
|
| 1461 |
+
"grad_norm": 0.115234375,
|
| 1462 |
+
"learning_rate": 0.00013257104129463614,
|
| 1463 |
+
"loss": 0.104,
|
| 1464 |
+
"step": 193
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 1.2261505036539602,
|
| 1468 |
+
"grad_norm": 0.107421875,
|
| 1469 |
+
"learning_rate": 0.000131930153013598,
|
| 1470 |
+
"loss": 0.0966,
|
| 1471 |
+
"step": 194
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 1.2324708670748568,
|
| 1475 |
+
"grad_norm": 0.10791015625,
|
| 1476 |
+
"learning_rate": 0.00013128780099531056,
|
| 1477 |
+
"loss": 0.1062,
|
| 1478 |
+
"step": 195
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 1.2387912304957536,
|
| 1482 |
+
"grad_norm": 0.10888671875,
|
| 1483 |
+
"learning_rate": 0.00013064401468637792,
|
| 1484 |
+
"loss": 0.1027,
|
| 1485 |
+
"step": 196
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 1.2451115939166502,
|
| 1489 |
+
"grad_norm": 0.10546875,
|
| 1490 |
+
"learning_rate": 0.0001299988235991548,
|
| 1491 |
+
"loss": 0.0927,
|
| 1492 |
+
"step": 197
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"epoch": 1.251431957337547,
|
| 1496 |
+
"grad_norm": 0.11865234375,
|
| 1497 |
+
"learning_rate": 0.00012935225731039348,
|
| 1498 |
+
"loss": 0.1031,
|
| 1499 |
+
"step": 198
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 1.2577523207584436,
|
| 1503 |
+
"grad_norm": 0.10986328125,
|
| 1504 |
+
"learning_rate": 0.00012870434545988812,
|
| 1505 |
+
"loss": 0.109,
|
| 1506 |
+
"step": 199
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 1.2640726841793404,
|
| 1510 |
+
"grad_norm": 0.0888671875,
|
| 1511 |
+
"learning_rate": 0.00012805511774911584,
|
| 1512 |
+
"loss": 0.0835,
|
| 1513 |
+
"step": 200
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 1.270393047600237,
|
| 1517 |
+
"grad_norm": 0.09228515625,
|
| 1518 |
+
"learning_rate": 0.00012740460393987526,
|
| 1519 |
+
"loss": 0.0902,
|
| 1520 |
+
"step": 201
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 1.2767134110211338,
|
| 1524 |
+
"grad_norm": 0.10986328125,
|
| 1525 |
+
"learning_rate": 0.00012675283385292212,
|
| 1526 |
+
"loss": 0.114,
|
| 1527 |
+
"step": 202
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 1.2830337744420304,
|
| 1531 |
+
"grad_norm": 0.095703125,
|
| 1532 |
+
"learning_rate": 0.0001260998373666022,
|
| 1533 |
+
"loss": 0.0887,
|
| 1534 |
+
"step": 203
|
| 1535 |
+
},
|
| 1536 |
+
{
|
| 1537 |
+
"epoch": 1.2893541378629272,
|
| 1538 |
+
"grad_norm": 0.1103515625,
|
| 1539 |
+
"learning_rate": 0.00012544564441548182,
|
| 1540 |
+
"loss": 0.095,
|
| 1541 |
+
"step": 204
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 1.2956745012838238,
|
| 1545 |
+
"grad_norm": 0.099609375,
|
| 1546 |
+
"learning_rate": 0.00012479028498897535,
|
| 1547 |
+
"loss": 0.0883,
|
| 1548 |
+
"step": 205
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 1.3019948647047206,
|
| 1552 |
+
"grad_norm": 0.10498046875,
|
| 1553 |
+
"learning_rate": 0.00012413378912997058,
|
| 1554 |
+
"loss": 0.0824,
|
| 1555 |
+
"step": 206
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 1.3083152281256172,
|
| 1559 |
+
"grad_norm": 0.091796875,
|
| 1560 |
+
"learning_rate": 0.0001234761869334515,
|
| 1561 |
+
"loss": 0.0736,
|
| 1562 |
+
"step": 207
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 1.314635591546514,
|
| 1566 |
+
"grad_norm": 0.1103515625,
|
| 1567 |
+
"learning_rate": 0.0001228175085451186,
|
| 1568 |
+
"loss": 0.1025,
|
| 1569 |
+
"step": 208
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 1.314635591546514,
|
| 1573 |
+
"eval_loss": 0.13002794981002808,
|
| 1574 |
+
"eval_runtime": 57.2937,
|
| 1575 |
+
"eval_samples_per_second": 18.606,
|
| 1576 |
+
"eval_steps_per_second": 18.606,
|
| 1577 |
+
"step": 208
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 1.3209559549674106,
|
| 1581 |
+
"grad_norm": 0.1220703125,
|
| 1582 |
+
"learning_rate": 0.00012215778416000707,
|
| 1583 |
+
"loss": 0.1188,
|
| 1584 |
+
"step": 209
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.3272763183883074,
|
| 1588 |
+
"grad_norm": 0.1123046875,
|
| 1589 |
+
"learning_rate": 0.00012149704402110243,
|
| 1590 |
+
"loss": 0.101,
|
| 1591 |
+
"step": 210
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 1.333596681809204,
|
| 1595 |
+
"grad_norm": 0.1083984375,
|
| 1596 |
+
"learning_rate": 0.00012083531841795425,
|
| 1597 |
+
"loss": 0.1031,
|
| 1598 |
+
"step": 211
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 1.3399170452301008,
|
| 1602 |
+
"grad_norm": 0.1083984375,
|
| 1603 |
+
"learning_rate": 0.00012017263768528775,
|
| 1604 |
+
"loss": 0.0974,
|
| 1605 |
+
"step": 212
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 1.3462374086509974,
|
| 1609 |
+
"grad_norm": 0.11181640625,
|
| 1610 |
+
"learning_rate": 0.00011950903220161285,
|
| 1611 |
+
"loss": 0.1009,
|
| 1612 |
+
"step": 213
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 1.3525577720718942,
|
| 1616 |
+
"grad_norm": 0.10498046875,
|
| 1617 |
+
"learning_rate": 0.00011884453238783185,
|
| 1618 |
+
"loss": 0.1017,
|
| 1619 |
+
"step": 214
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 1.3588781354927908,
|
| 1623 |
+
"grad_norm": 0.1005859375,
|
| 1624 |
+
"learning_rate": 0.00011817916870584482,
|
| 1625 |
+
"loss": 0.095,
|
| 1626 |
+
"step": 215
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.3651984989136876,
|
| 1630 |
+
"grad_norm": 0.103515625,
|
| 1631 |
+
"learning_rate": 0.00011751297165715309,
|
| 1632 |
+
"loss": 0.1064,
|
| 1633 |
+
"step": 216
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 1.3715188623345842,
|
| 1637 |
+
"grad_norm": 0.11181640625,
|
| 1638 |
+
"learning_rate": 0.00011684597178146115,
|
| 1639 |
+
"loss": 0.106,
|
| 1640 |
+
"step": 217
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.377839225755481,
|
| 1644 |
+
"grad_norm": 0.1015625,
|
| 1645 |
+
"learning_rate": 0.0001161781996552765,
|
| 1646 |
+
"loss": 0.0836,
|
| 1647 |
+
"step": 218
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 1.3841595891763776,
|
| 1651 |
+
"grad_norm": 0.10107421875,
|
| 1652 |
+
"learning_rate": 0.00011550968589050799,
|
| 1653 |
+
"loss": 0.0933,
|
| 1654 |
+
"step": 219
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 1.3904799525972744,
|
| 1658 |
+
"grad_norm": 0.09619140625,
|
| 1659 |
+
"learning_rate": 0.00011484046113306262,
|
| 1660 |
+
"loss": 0.0874,
|
| 1661 |
+
"step": 220
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 1.396800316018171,
|
| 1665 |
+
"grad_norm": 0.11669921875,
|
| 1666 |
+
"learning_rate": 0.0001141705560614406,
|
| 1667 |
+
"loss": 0.1175,
|
| 1668 |
+
"step": 221
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 1.4031206794390678,
|
| 1672 |
+
"grad_norm": 0.10302734375,
|
| 1673 |
+
"learning_rate": 0.00011350000138532902,
|
| 1674 |
+
"loss": 0.1018,
|
| 1675 |
+
"step": 222
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 1.4094410428599644,
|
| 1679 |
+
"grad_norm": 0.11865234375,
|
| 1680 |
+
"learning_rate": 0.00011282882784419398,
|
| 1681 |
+
"loss": 0.1207,
|
| 1682 |
+
"step": 223
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.4157614062808612,
|
| 1686 |
+
"grad_norm": 0.103515625,
|
| 1687 |
+
"learning_rate": 0.00011215706620587149,
|
| 1688 |
+
"loss": 0.0936,
|
| 1689 |
+
"step": 224
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.4157614062808612,
|
| 1693 |
+
"eval_loss": 0.12633191049098969,
|
| 1694 |
+
"eval_runtime": 57.953,
|
| 1695 |
+
"eval_samples_per_second": 18.394,
|
| 1696 |
+
"eval_steps_per_second": 18.394,
|
| 1697 |
+
"step": 224
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 1.4220817697017578,
|
| 1701 |
+
"grad_norm": 0.10986328125,
|
| 1702 |
+
"learning_rate": 0.00011148474726515716,
|
| 1703 |
+
"loss": 0.0982,
|
| 1704 |
+
"step": 225
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 1.4284021331226546,
|
| 1708 |
+
"grad_norm": 0.1005859375,
|
| 1709 |
+
"learning_rate": 0.00011081190184239419,
|
| 1710 |
+
"loss": 0.0912,
|
| 1711 |
+
"step": 226
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 1.4347224965435512,
|
| 1715 |
+
"grad_norm": 0.11083984375,
|
| 1716 |
+
"learning_rate": 0.0001101385607820608,
|
| 1717 |
+
"loss": 0.1165,
|
| 1718 |
+
"step": 227
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 1.441042859964448,
|
| 1722 |
+
"grad_norm": 0.1103515625,
|
| 1723 |
+
"learning_rate": 0.0001094647549513561,
|
| 1724 |
+
"loss": 0.0996,
|
| 1725 |
+
"step": 228
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 1.4473632233853446,
|
| 1729 |
+
"grad_norm": 0.10986328125,
|
| 1730 |
+
"learning_rate": 0.00010879051523878522,
|
| 1731 |
+
"loss": 0.0946,
|
| 1732 |
+
"step": 229
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 1.4536835868062414,
|
| 1736 |
+
"grad_norm": 0.1083984375,
|
| 1737 |
+
"learning_rate": 0.00010811587255274313,
|
| 1738 |
+
"loss": 0.1126,
|
| 1739 |
+
"step": 230
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 1.460003950227138,
|
| 1743 |
+
"grad_norm": 0.09765625,
|
| 1744 |
+
"learning_rate": 0.00010744085782009792,
|
| 1745 |
+
"loss": 0.0875,
|
| 1746 |
+
"step": 231
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 1.4663243136480348,
|
| 1750 |
+
"grad_norm": 0.109375,
|
| 1751 |
+
"learning_rate": 0.00010676550198477293,
|
| 1752 |
+
"loss": 0.0989,
|
| 1753 |
+
"step": 232
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 1.4726446770689314,
|
| 1757 |
+
"grad_norm": 0.11376953125,
|
| 1758 |
+
"learning_rate": 0.00010608983600632831,
|
| 1759 |
+
"loss": 0.1057,
|
| 1760 |
+
"step": 233
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 1.4789650404898282,
|
| 1764 |
+
"grad_norm": 0.10791015625,
|
| 1765 |
+
"learning_rate": 0.00010541389085854176,
|
| 1766 |
+
"loss": 0.0906,
|
| 1767 |
+
"step": 234
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 1.4852854039107248,
|
| 1771 |
+
"grad_norm": 0.10400390625,
|
| 1772 |
+
"learning_rate": 0.00010473769752798859,
|
| 1773 |
+
"loss": 0.0872,
|
| 1774 |
+
"step": 235
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 1.4916057673316216,
|
| 1778 |
+
"grad_norm": 0.109375,
|
| 1779 |
+
"learning_rate": 0.00010406128701262128,
|
| 1780 |
+
"loss": 0.1047,
|
| 1781 |
+
"step": 236
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 1.4979261307525182,
|
| 1785 |
+
"grad_norm": 0.11083984375,
|
| 1786 |
+
"learning_rate": 0.00010338469032034845,
|
| 1787 |
+
"loss": 0.0926,
|
| 1788 |
+
"step": 237
|
| 1789 |
+
}
|
| 1790 |
+
],
|
| 1791 |
+
"logging_steps": 1,
|
| 1792 |
+
"max_steps": 474,
|
| 1793 |
+
"num_input_tokens_seen": 0,
|
| 1794 |
+
"num_train_epochs": 3,
|
| 1795 |
+
"save_steps": 79,
|
| 1796 |
+
"stateful_callbacks": {
|
| 1797 |
+
"TrainerControl": {
|
| 1798 |
+
"args": {
|
| 1799 |
+
"should_epoch_stop": false,
|
| 1800 |
+
"should_evaluate": false,
|
| 1801 |
+
"should_log": false,
|
| 1802 |
+
"should_save": true,
|
| 1803 |
+
"should_training_stop": false
|
| 1804 |
+
},
|
| 1805 |
+
"attributes": {}
|
| 1806 |
+
}
|
| 1807 |
+
},
|
| 1808 |
+
"total_flos": 4.155884139797545e+17,
|
| 1809 |
+
"train_batch_size": 1,
|
| 1810 |
+
"trial_name": null,
|
| 1811 |
+
"trial_params": null
|
| 1812 |
+
}
|
checkpoint-237/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a42e672d0e98a9d5136262dff4f57ed4188e95ecf91a7d717efb480df19275c
|
| 3 |
+
size 6072
|
checkpoint-316/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-316/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
checkpoint-316/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1172bf2dfaf69123e7d1c9d701f28cb1238a46e25ad49af6b45448f47bd0eea8
|
| 3 |
+
size 320400712
|
checkpoint-316/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b3a2b0ff27dc7edcd93260253cd72e8024a6aa164d914d9f42b4bd2596b9793
|
| 3 |
+
size 1281635770
|
checkpoint-316/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00c5929cdd5fdf1535ee3a28cf3b580a37aee143dd5f16e42f6adad75a3981ea
|
| 3 |
+
size 14244
|
checkpoint-316/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd35bbbc482695714080b987bcad8581a7efbafe4cf0eabf27cd9da275d5e902
|
| 3 |
+
size 1064
|
checkpoint-316/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<fim_prefix>",
|
| 6 |
+
"<fim_middle>",
|
| 7 |
+
"<fim_suffix>",
|
| 8 |
+
"<fim_pad>"
|
| 9 |
+
],
|
| 10 |
+
"bos_token": {
|
| 11 |
+
"content": "<|endoftext|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<fim_pad>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"unk_token": {
|
| 32 |
+
"content": "<unk>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-316/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-316/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-316/trainer_state.json
ADDED
|
@@ -0,0 +1,2405 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.9972348410033578,
|
| 5 |
+
"eval_steps": 16,
|
| 6 |
+
"global_step": 316,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.006320363420896702,
|
| 13 |
+
"grad_norm": 0.48046875,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 0.6497,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.006320363420896702,
|
| 20 |
+
"eval_loss": 0.5998793244361877,
|
| 21 |
+
"eval_runtime": 56.2331,
|
| 22 |
+
"eval_samples_per_second": 18.957,
|
| 23 |
+
"eval_steps_per_second": 18.957,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.012640726841793404,
|
| 28 |
+
"grad_norm": 0.470703125,
|
| 29 |
+
"learning_rate": 4e-05,
|
| 30 |
+
"loss": 0.6349,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.018961090262690106,
|
| 35 |
+
"grad_norm": 0.46875,
|
| 36 |
+
"learning_rate": 6e-05,
|
| 37 |
+
"loss": 0.5832,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.025281453683586808,
|
| 42 |
+
"grad_norm": 0.47265625,
|
| 43 |
+
"learning_rate": 8e-05,
|
| 44 |
+
"loss": 0.557,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.03160181710448351,
|
| 49 |
+
"grad_norm": 0.35546875,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 0.4966,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03792218052538021,
|
| 56 |
+
"grad_norm": 0.31640625,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 0.3771,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04424254394627691,
|
| 63 |
+
"grad_norm": 0.298828125,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 0.318,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.050562907367173615,
|
| 70 |
+
"grad_norm": 0.36328125,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 0.296,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05688327078807032,
|
| 77 |
+
"grad_norm": 0.3046875,
|
| 78 |
+
"learning_rate": 0.00018,
|
| 79 |
+
"loss": 0.2682,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.06320363420896702,
|
| 84 |
+
"grad_norm": 0.29296875,
|
| 85 |
+
"learning_rate": 0.0002,
|
| 86 |
+
"loss": 0.3039,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.06952399762986372,
|
| 91 |
+
"grad_norm": 0.1845703125,
|
| 92 |
+
"learning_rate": 0.00019999770790755575,
|
| 93 |
+
"loss": 0.3096,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.07584436105076042,
|
| 98 |
+
"grad_norm": 0.16796875,
|
| 99 |
+
"learning_rate": 0.00019999083173529673,
|
| 100 |
+
"loss": 0.2575,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.08216472447165712,
|
| 105 |
+
"grad_norm": 0.1689453125,
|
| 106 |
+
"learning_rate": 0.00019997937179843937,
|
| 107 |
+
"loss": 0.289,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.08848508789255383,
|
| 112 |
+
"grad_norm": 0.1572265625,
|
| 113 |
+
"learning_rate": 0.0001999633286223284,
|
| 114 |
+
"loss": 0.2878,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.09480545131345053,
|
| 119 |
+
"grad_norm": 0.12353515625,
|
| 120 |
+
"learning_rate": 0.00019994270294241266,
|
| 121 |
+
"loss": 0.2274,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.10112581473434723,
|
| 126 |
+
"grad_norm": 0.11572265625,
|
| 127 |
+
"learning_rate": 0.00019991749570421146,
|
| 128 |
+
"loss": 0.2252,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.10112581473434723,
|
| 133 |
+
"eval_loss": 0.25023654103279114,
|
| 134 |
+
"eval_runtime": 56.1603,
|
| 135 |
+
"eval_samples_per_second": 18.981,
|
| 136 |
+
"eval_steps_per_second": 18.981,
|
| 137 |
+
"step": 16
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.10744617815524393,
|
| 141 |
+
"grad_norm": 0.1298828125,
|
| 142 |
+
"learning_rate": 0.0001998877080632712,
|
| 143 |
+
"loss": 0.2512,
|
| 144 |
+
"step": 17
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.11376654157614063,
|
| 148 |
+
"grad_norm": 0.193359375,
|
| 149 |
+
"learning_rate": 0.00019985334138511237,
|
| 150 |
+
"loss": 0.2659,
|
| 151 |
+
"step": 18
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.12008690499703734,
|
| 155 |
+
"grad_norm": 0.142578125,
|
| 156 |
+
"learning_rate": 0.00019981439724516716,
|
| 157 |
+
"loss": 0.2415,
|
| 158 |
+
"step": 19
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.12640726841793404,
|
| 162 |
+
"grad_norm": 0.126953125,
|
| 163 |
+
"learning_rate": 0.0001997708774287068,
|
| 164 |
+
"loss": 0.2661,
|
| 165 |
+
"step": 20
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.13272763183883074,
|
| 169 |
+
"grad_norm": 0.1142578125,
|
| 170 |
+
"learning_rate": 0.00019972278393076023,
|
| 171 |
+
"loss": 0.2046,
|
| 172 |
+
"step": 21
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.13904799525972744,
|
| 176 |
+
"grad_norm": 0.11865234375,
|
| 177 |
+
"learning_rate": 0.0001996701189560223,
|
| 178 |
+
"loss": 0.2087,
|
| 179 |
+
"step": 22
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.14536835868062414,
|
| 183 |
+
"grad_norm": 0.1435546875,
|
| 184 |
+
"learning_rate": 0.00019961288491875278,
|
| 185 |
+
"loss": 0.2246,
|
| 186 |
+
"step": 23
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.15168872210152085,
|
| 190 |
+
"grad_norm": 0.119140625,
|
| 191 |
+
"learning_rate": 0.00019955108444266585,
|
| 192 |
+
"loss": 0.1831,
|
| 193 |
+
"step": 24
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.15800908552241755,
|
| 197 |
+
"grad_norm": 0.1376953125,
|
| 198 |
+
"learning_rate": 0.00019948472036080949,
|
| 199 |
+
"loss": 0.2398,
|
| 200 |
+
"step": 25
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.16432944894331425,
|
| 204 |
+
"grad_norm": 0.1201171875,
|
| 205 |
+
"learning_rate": 0.00019941379571543596,
|
| 206 |
+
"loss": 0.189,
|
| 207 |
+
"step": 26
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.17064981236421095,
|
| 211 |
+
"grad_norm": 0.12890625,
|
| 212 |
+
"learning_rate": 0.00019933831375786216,
|
| 213 |
+
"loss": 0.2156,
|
| 214 |
+
"step": 27
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 0.17697017578510765,
|
| 218 |
+
"grad_norm": 0.1259765625,
|
| 219 |
+
"learning_rate": 0.00019925827794832056,
|
| 220 |
+
"loss": 0.2012,
|
| 221 |
+
"step": 28
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.18329053920600435,
|
| 225 |
+
"grad_norm": 0.11572265625,
|
| 226 |
+
"learning_rate": 0.00019917369195580063,
|
| 227 |
+
"loss": 0.1602,
|
| 228 |
+
"step": 29
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.18961090262690106,
|
| 232 |
+
"grad_norm": 0.12890625,
|
| 233 |
+
"learning_rate": 0.00019908455965788067,
|
| 234 |
+
"loss": 0.1976,
|
| 235 |
+
"step": 30
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.19593126604779776,
|
| 239 |
+
"grad_norm": 0.11279296875,
|
| 240 |
+
"learning_rate": 0.00019899088514055004,
|
| 241 |
+
"loss": 0.1874,
|
| 242 |
+
"step": 31
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.20225162946869446,
|
| 246 |
+
"grad_norm": 0.1357421875,
|
| 247 |
+
"learning_rate": 0.00019889267269802176,
|
| 248 |
+
"loss": 0.2024,
|
| 249 |
+
"step": 32
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.20225162946869446,
|
| 253 |
+
"eval_loss": 0.2020280808210373,
|
| 254 |
+
"eval_runtime": 56.2737,
|
| 255 |
+
"eval_samples_per_second": 18.943,
|
| 256 |
+
"eval_steps_per_second": 18.943,
|
| 257 |
+
"step": 32
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.20857199288959116,
|
| 261 |
+
"grad_norm": 0.1123046875,
|
| 262 |
+
"learning_rate": 0.00019878992683253582,
|
| 263 |
+
"loss": 0.1819,
|
| 264 |
+
"step": 33
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.21489235631048786,
|
| 268 |
+
"grad_norm": 0.1123046875,
|
| 269 |
+
"learning_rate": 0.00019868265225415265,
|
| 270 |
+
"loss": 0.1794,
|
| 271 |
+
"step": 34
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.22121271973138457,
|
| 275 |
+
"grad_norm": 0.12060546875,
|
| 276 |
+
"learning_rate": 0.00019857085388053723,
|
| 277 |
+
"loss": 0.1943,
|
| 278 |
+
"step": 35
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.22753308315228127,
|
| 282 |
+
"grad_norm": 0.134765625,
|
| 283 |
+
"learning_rate": 0.00019845453683673368,
|
| 284 |
+
"loss": 0.2265,
|
| 285 |
+
"step": 36
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.23385344657317797,
|
| 289 |
+
"grad_norm": 0.115234375,
|
| 290 |
+
"learning_rate": 0.00019833370645493047,
|
| 291 |
+
"loss": 0.181,
|
| 292 |
+
"step": 37
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 0.24017380999407467,
|
| 296 |
+
"grad_norm": 0.12353515625,
|
| 297 |
+
"learning_rate": 0.0001982083682742156,
|
| 298 |
+
"loss": 0.1946,
|
| 299 |
+
"step": 38
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.24649417341497137,
|
| 303 |
+
"grad_norm": 0.107421875,
|
| 304 |
+
"learning_rate": 0.00019807852804032305,
|
| 305 |
+
"loss": 0.1418,
|
| 306 |
+
"step": 39
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.2528145368358681,
|
| 310 |
+
"grad_norm": 0.11572265625,
|
| 311 |
+
"learning_rate": 0.00019794419170536916,
|
| 312 |
+
"loss": 0.1651,
|
| 313 |
+
"step": 40
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.2591349002567648,
|
| 317 |
+
"grad_norm": 0.1337890625,
|
| 318 |
+
"learning_rate": 0.00019780536542758,
|
| 319 |
+
"loss": 0.1821,
|
| 320 |
+
"step": 41
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.2654552636776615,
|
| 324 |
+
"grad_norm": 0.12353515625,
|
| 325 |
+
"learning_rate": 0.00019766205557100868,
|
| 326 |
+
"loss": 0.1913,
|
| 327 |
+
"step": 42
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.2717756270985582,
|
| 331 |
+
"grad_norm": 0.12451171875,
|
| 332 |
+
"learning_rate": 0.00019751426870524407,
|
| 333 |
+
"loss": 0.194,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.2780959905194549,
|
| 338 |
+
"grad_norm": 0.1162109375,
|
| 339 |
+
"learning_rate": 0.00019736201160510931,
|
| 340 |
+
"loss": 0.1832,
|
| 341 |
+
"step": 44
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.2844163539403516,
|
| 345 |
+
"grad_norm": 0.12353515625,
|
| 346 |
+
"learning_rate": 0.0001972052912503514,
|
| 347 |
+
"loss": 0.19,
|
| 348 |
+
"step": 45
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.2907367173612483,
|
| 352 |
+
"grad_norm": 0.11474609375,
|
| 353 |
+
"learning_rate": 0.00019704411482532116,
|
| 354 |
+
"loss": 0.1875,
|
| 355 |
+
"step": 46
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.297057080782145,
|
| 359 |
+
"grad_norm": 0.1123046875,
|
| 360 |
+
"learning_rate": 0.00019687848971864389,
|
| 361 |
+
"loss": 0.184,
|
| 362 |
+
"step": 47
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.3033774442030417,
|
| 366 |
+
"grad_norm": 0.107421875,
|
| 367 |
+
"learning_rate": 0.0001967084235228807,
|
| 368 |
+
"loss": 0.1581,
|
| 369 |
+
"step": 48
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.3033774442030417,
|
| 373 |
+
"eval_loss": 0.18037649989128113,
|
| 374 |
+
"eval_runtime": 56.5509,
|
| 375 |
+
"eval_samples_per_second": 18.85,
|
| 376 |
+
"eval_steps_per_second": 18.85,
|
| 377 |
+
"step": 48
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.3096978076239384,
|
| 381 |
+
"grad_norm": 0.10302734375,
|
| 382 |
+
"learning_rate": 0.00019653392403418043,
|
| 383 |
+
"loss": 0.1766,
|
| 384 |
+
"step": 49
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.3160181710448351,
|
| 388 |
+
"grad_norm": 0.11669921875,
|
| 389 |
+
"learning_rate": 0.0001963549992519223,
|
| 390 |
+
"loss": 0.1888,
|
| 391 |
+
"step": 50
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.3223385344657318,
|
| 395 |
+
"grad_norm": 0.10009765625,
|
| 396 |
+
"learning_rate": 0.00019617165737834916,
|
| 397 |
+
"loss": 0.139,
|
| 398 |
+
"step": 51
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.3286588978866285,
|
| 402 |
+
"grad_norm": 0.12451171875,
|
| 403 |
+
"learning_rate": 0.0001959839068181914,
|
| 404 |
+
"loss": 0.1845,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.3349792613075252,
|
| 409 |
+
"grad_norm": 0.12060546875,
|
| 410 |
+
"learning_rate": 0.00019579175617828187,
|
| 411 |
+
"loss": 0.2043,
|
| 412 |
+
"step": 53
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 0.3412996247284219,
|
| 416 |
+
"grad_norm": 0.1142578125,
|
| 417 |
+
"learning_rate": 0.00019559521426716118,
|
| 418 |
+
"loss": 0.1678,
|
| 419 |
+
"step": 54
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.3476199881493186,
|
| 423 |
+
"grad_norm": 0.11669921875,
|
| 424 |
+
"learning_rate": 0.0001953942900946739,
|
| 425 |
+
"loss": 0.1671,
|
| 426 |
+
"step": 55
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.3539403515702153,
|
| 430 |
+
"grad_norm": 0.115234375,
|
| 431 |
+
"learning_rate": 0.00019518899287155556,
|
| 432 |
+
"loss": 0.1724,
|
| 433 |
+
"step": 56
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.360260714991112,
|
| 437 |
+
"grad_norm": 0.126953125,
|
| 438 |
+
"learning_rate": 0.0001949793320090105,
|
| 439 |
+
"loss": 0.177,
|
| 440 |
+
"step": 57
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.3665810784120087,
|
| 444 |
+
"grad_norm": 0.1259765625,
|
| 445 |
+
"learning_rate": 0.00019476531711828027,
|
| 446 |
+
"loss": 0.1644,
|
| 447 |
+
"step": 58
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.3729014418329054,
|
| 451 |
+
"grad_norm": 0.1142578125,
|
| 452 |
+
"learning_rate": 0.0001945469580102031,
|
| 453 |
+
"loss": 0.1564,
|
| 454 |
+
"step": 59
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 0.3792218052538021,
|
| 458 |
+
"grad_norm": 0.10302734375,
|
| 459 |
+
"learning_rate": 0.0001943242646947643,
|
| 460 |
+
"loss": 0.1353,
|
| 461 |
+
"step": 60
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.3855421686746988,
|
| 465 |
+
"grad_norm": 0.10791015625,
|
| 466 |
+
"learning_rate": 0.00019409724738063714,
|
| 467 |
+
"loss": 0.1622,
|
| 468 |
+
"step": 61
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.3918625320955955,
|
| 472 |
+
"grad_norm": 0.10791015625,
|
| 473 |
+
"learning_rate": 0.00019386591647471506,
|
| 474 |
+
"loss": 0.1564,
|
| 475 |
+
"step": 62
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.3981828955164922,
|
| 479 |
+
"grad_norm": 0.11376953125,
|
| 480 |
+
"learning_rate": 0.00019363028258163447,
|
| 481 |
+
"loss": 0.176,
|
| 482 |
+
"step": 63
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.4045032589373889,
|
| 486 |
+
"grad_norm": 0.1162109375,
|
| 487 |
+
"learning_rate": 0.00019339035650328869,
|
| 488 |
+
"loss": 0.1912,
|
| 489 |
+
"step": 64
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.4045032589373889,
|
| 493 |
+
"eval_loss": 0.1681559830904007,
|
| 494 |
+
"eval_runtime": 56.4912,
|
| 495 |
+
"eval_samples_per_second": 18.87,
|
| 496 |
+
"eval_steps_per_second": 18.87,
|
| 497 |
+
"step": 64
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.4108236223582856,
|
| 501 |
+
"grad_norm": 0.11572265625,
|
| 502 |
+
"learning_rate": 0.0001931461492383327,
|
| 503 |
+
"loss": 0.1959,
|
| 504 |
+
"step": 65
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.4171439857791823,
|
| 508 |
+
"grad_norm": 0.0966796875,
|
| 509 |
+
"learning_rate": 0.00019289767198167916,
|
| 510 |
+
"loss": 0.1379,
|
| 511 |
+
"step": 66
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.423464349200079,
|
| 515 |
+
"grad_norm": 0.1142578125,
|
| 516 |
+
"learning_rate": 0.00019264493612398481,
|
| 517 |
+
"loss": 0.1669,
|
| 518 |
+
"step": 67
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.42978471262097573,
|
| 522 |
+
"grad_norm": 0.09619140625,
|
| 523 |
+
"learning_rate": 0.0001923879532511287,
|
| 524 |
+
"loss": 0.1279,
|
| 525 |
+
"step": 68
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.43610507604187243,
|
| 529 |
+
"grad_norm": 0.10986328125,
|
| 530 |
+
"learning_rate": 0.0001921267351436808,
|
| 531 |
+
"loss": 0.1535,
|
| 532 |
+
"step": 69
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.44242543946276913,
|
| 536 |
+
"grad_norm": 0.11962890625,
|
| 537 |
+
"learning_rate": 0.0001918612937763622,
|
| 538 |
+
"loss": 0.1697,
|
| 539 |
+
"step": 70
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.44874580288366583,
|
| 543 |
+
"grad_norm": 0.107421875,
|
| 544 |
+
"learning_rate": 0.00019159164131749587,
|
| 545 |
+
"loss": 0.166,
|
| 546 |
+
"step": 71
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.45506616630456254,
|
| 550 |
+
"grad_norm": 0.10986328125,
|
| 551 |
+
"learning_rate": 0.00019131779012844912,
|
| 552 |
+
"loss": 0.1508,
|
| 553 |
+
"step": 72
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.46138652972545924,
|
| 557 |
+
"grad_norm": 0.1201171875,
|
| 558 |
+
"learning_rate": 0.00019103975276306678,
|
| 559 |
+
"loss": 0.1617,
|
| 560 |
+
"step": 73
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.46770689314635594,
|
| 564 |
+
"grad_norm": 0.1103515625,
|
| 565 |
+
"learning_rate": 0.00019075754196709572,
|
| 566 |
+
"loss": 0.1436,
|
| 567 |
+
"step": 74
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.47402725656725264,
|
| 571 |
+
"grad_norm": 0.1025390625,
|
| 572 |
+
"learning_rate": 0.0001904711706776006,
|
| 573 |
+
"loss": 0.1408,
|
| 574 |
+
"step": 75
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 0.48034761998814934,
|
| 578 |
+
"grad_norm": 0.1171875,
|
| 579 |
+
"learning_rate": 0.00019018065202237083,
|
| 580 |
+
"loss": 0.1594,
|
| 581 |
+
"step": 76
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.48666798340904605,
|
| 585 |
+
"grad_norm": 0.10546875,
|
| 586 |
+
"learning_rate": 0.00018988599931931866,
|
| 587 |
+
"loss": 0.1394,
|
| 588 |
+
"step": 77
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 0.49298834682994275,
|
| 592 |
+
"grad_norm": 0.111328125,
|
| 593 |
+
"learning_rate": 0.0001895872260758688,
|
| 594 |
+
"loss": 0.1448,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 0.49930871025083945,
|
| 599 |
+
"grad_norm": 0.111328125,
|
| 600 |
+
"learning_rate": 0.00018928434598833912,
|
| 601 |
+
"loss": 0.156,
|
| 602 |
+
"step": 79
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 0.5056290736717362,
|
| 606 |
+
"grad_norm": 0.125,
|
| 607 |
+
"learning_rate": 0.00018897737294131284,
|
| 608 |
+
"loss": 0.1692,
|
| 609 |
+
"step": 80
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.5056290736717362,
|
| 613 |
+
"eval_loss": 0.15801414847373962,
|
| 614 |
+
"eval_runtime": 57.0109,
|
| 615 |
+
"eval_samples_per_second": 18.698,
|
| 616 |
+
"eval_steps_per_second": 18.698,
|
| 617 |
+
"step": 80
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.5119494370926329,
|
| 621 |
+
"grad_norm": 0.10400390625,
|
| 622 |
+
"learning_rate": 0.00018866632100700197,
|
| 623 |
+
"loss": 0.1318,
|
| 624 |
+
"step": 81
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 0.5182698005135296,
|
| 628 |
+
"grad_norm": 0.1357421875,
|
| 629 |
+
"learning_rate": 0.0001883512044446023,
|
| 630 |
+
"loss": 0.203,
|
| 631 |
+
"step": 82
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.5245901639344263,
|
| 635 |
+
"grad_norm": 0.126953125,
|
| 636 |
+
"learning_rate": 0.00018803203769963967,
|
| 637 |
+
"loss": 0.1968,
|
| 638 |
+
"step": 83
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 0.530910527355323,
|
| 642 |
+
"grad_norm": 0.1025390625,
|
| 643 |
+
"learning_rate": 0.0001877088354033077,
|
| 644 |
+
"loss": 0.139,
|
| 645 |
+
"step": 84
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 0.5372308907762197,
|
| 649 |
+
"grad_norm": 0.1044921875,
|
| 650 |
+
"learning_rate": 0.0001873816123717973,
|
| 651 |
+
"loss": 0.1301,
|
| 652 |
+
"step": 85
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"epoch": 0.5435512541971164,
|
| 656 |
+
"grad_norm": 0.107421875,
|
| 657 |
+
"learning_rate": 0.0001870503836056172,
|
| 658 |
+
"loss": 0.1253,
|
| 659 |
+
"step": 86
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 0.5498716176180131,
|
| 663 |
+
"grad_norm": 0.11474609375,
|
| 664 |
+
"learning_rate": 0.00018671516428890648,
|
| 665 |
+
"loss": 0.1575,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 0.5561919810389098,
|
| 670 |
+
"grad_norm": 0.12353515625,
|
| 671 |
+
"learning_rate": 0.00018637596978873835,
|
| 672 |
+
"loss": 0.1627,
|
| 673 |
+
"step": 88
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.5625123444598065,
|
| 677 |
+
"grad_norm": 0.1279296875,
|
| 678 |
+
"learning_rate": 0.00018603281565441585,
|
| 679 |
+
"loss": 0.1762,
|
| 680 |
+
"step": 89
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 0.5688327078807032,
|
| 684 |
+
"grad_norm": 0.1259765625,
|
| 685 |
+
"learning_rate": 0.00018568571761675893,
|
| 686 |
+
"loss": 0.1537,
|
| 687 |
+
"step": 90
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 0.5751530713015999,
|
| 691 |
+
"grad_norm": 0.1259765625,
|
| 692 |
+
"learning_rate": 0.00018533469158738344,
|
| 693 |
+
"loss": 0.1752,
|
| 694 |
+
"step": 91
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.5814734347224966,
|
| 698 |
+
"grad_norm": 0.11865234375,
|
| 699 |
+
"learning_rate": 0.0001849797536579715,
|
| 700 |
+
"loss": 0.1441,
|
| 701 |
+
"step": 92
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.5877937981433933,
|
| 705 |
+
"grad_norm": 0.1083984375,
|
| 706 |
+
"learning_rate": 0.00018462092009953408,
|
| 707 |
+
"loss": 0.1471,
|
| 708 |
+
"step": 93
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.59411416156429,
|
| 712 |
+
"grad_norm": 0.1201171875,
|
| 713 |
+
"learning_rate": 0.0001842582073616649,
|
| 714 |
+
"loss": 0.1584,
|
| 715 |
+
"step": 94
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.6004345249851867,
|
| 719 |
+
"grad_norm": 0.1005859375,
|
| 720 |
+
"learning_rate": 0.00018389163207178656,
|
| 721 |
+
"loss": 0.1255,
|
| 722 |
+
"step": 95
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.6067548884060834,
|
| 726 |
+
"grad_norm": 0.10595703125,
|
| 727 |
+
"learning_rate": 0.000183521211034388,
|
| 728 |
+
"loss": 0.1401,
|
| 729 |
+
"step": 96
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.6067548884060834,
|
| 733 |
+
"eval_loss": 0.1516103893518448,
|
| 734 |
+
"eval_runtime": 57.9856,
|
| 735 |
+
"eval_samples_per_second": 18.384,
|
| 736 |
+
"eval_steps_per_second": 18.384,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.6130752518269801,
|
| 741 |
+
"grad_norm": 0.0966796875,
|
| 742 |
+
"learning_rate": 0.00018314696123025454,
|
| 743 |
+
"loss": 0.1359,
|
| 744 |
+
"step": 97
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.6193956152478768,
|
| 748 |
+
"grad_norm": 0.107421875,
|
| 749 |
+
"learning_rate": 0.00018276889981568906,
|
| 750 |
+
"loss": 0.1354,
|
| 751 |
+
"step": 98
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.6257159786687735,
|
| 755 |
+
"grad_norm": 0.10986328125,
|
| 756 |
+
"learning_rate": 0.00018238704412172586,
|
| 757 |
+
"loss": 0.1315,
|
| 758 |
+
"step": 99
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.6320363420896702,
|
| 762 |
+
"grad_norm": 0.1083984375,
|
| 763 |
+
"learning_rate": 0.0001820014116533359,
|
| 764 |
+
"loss": 0.1522,
|
| 765 |
+
"step": 100
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.6383567055105669,
|
| 769 |
+
"grad_norm": 0.11767578125,
|
| 770 |
+
"learning_rate": 0.00018161202008862458,
|
| 771 |
+
"loss": 0.1754,
|
| 772 |
+
"step": 101
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.6446770689314636,
|
| 776 |
+
"grad_norm": 0.1025390625,
|
| 777 |
+
"learning_rate": 0.00018121888727802113,
|
| 778 |
+
"loss": 0.1368,
|
| 779 |
+
"step": 102
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.6509974323523603,
|
| 783 |
+
"grad_norm": 0.09814453125,
|
| 784 |
+
"learning_rate": 0.00018082203124346045,
|
| 785 |
+
"loss": 0.14,
|
| 786 |
+
"step": 103
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.657317795773257,
|
| 790 |
+
"grad_norm": 0.115234375,
|
| 791 |
+
"learning_rate": 0.0001804214701775569,
|
| 792 |
+
"loss": 0.157,
|
| 793 |
+
"step": 104
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.6636381591941537,
|
| 797 |
+
"grad_norm": 0.11376953125,
|
| 798 |
+
"learning_rate": 0.00018001722244277035,
|
| 799 |
+
"loss": 0.1575,
|
| 800 |
+
"step": 105
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.6699585226150504,
|
| 804 |
+
"grad_norm": 0.09765625,
|
| 805 |
+
"learning_rate": 0.00017960930657056438,
|
| 806 |
+
"loss": 0.1229,
|
| 807 |
+
"step": 106
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.6762788860359471,
|
| 811 |
+
"grad_norm": 0.099609375,
|
| 812 |
+
"learning_rate": 0.00017919774126055673,
|
| 813 |
+
"loss": 0.1294,
|
| 814 |
+
"step": 107
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.6825992494568438,
|
| 818 |
+
"grad_norm": 0.09716796875,
|
| 819 |
+
"learning_rate": 0.00017878254537966216,
|
| 820 |
+
"loss": 0.1381,
|
| 821 |
+
"step": 108
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.6889196128777405,
|
| 825 |
+
"grad_norm": 0.11083984375,
|
| 826 |
+
"learning_rate": 0.0001783637379612275,
|
| 827 |
+
"loss": 0.1494,
|
| 828 |
+
"step": 109
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.6952399762986372,
|
| 832 |
+
"grad_norm": 0.107421875,
|
| 833 |
+
"learning_rate": 0.00017794133820415916,
|
| 834 |
+
"loss": 0.1527,
|
| 835 |
+
"step": 110
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.7015603397195339,
|
| 839 |
+
"grad_norm": 0.111328125,
|
| 840 |
+
"learning_rate": 0.00017751536547204295,
|
| 841 |
+
"loss": 0.1335,
|
| 842 |
+
"step": 111
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.7078807031404306,
|
| 846 |
+
"grad_norm": 0.10400390625,
|
| 847 |
+
"learning_rate": 0.0001770858392922565,
|
| 848 |
+
"loss": 0.1204,
|
| 849 |
+
"step": 112
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.7078807031404306,
|
| 853 |
+
"eval_loss": 0.14627417922019958,
|
| 854 |
+
"eval_runtime": 56.8973,
|
| 855 |
+
"eval_samples_per_second": 18.736,
|
| 856 |
+
"eval_steps_per_second": 18.736,
|
| 857 |
+
"step": 112
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.7142010665613273,
|
| 861 |
+
"grad_norm": 0.09814453125,
|
| 862 |
+
"learning_rate": 0.00017665277935507398,
|
| 863 |
+
"loss": 0.122,
|
| 864 |
+
"step": 113
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.720521429982224,
|
| 868 |
+
"grad_norm": 0.0966796875,
|
| 869 |
+
"learning_rate": 0.00017621620551276366,
|
| 870 |
+
"loss": 0.134,
|
| 871 |
+
"step": 114
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.7268417934031207,
|
| 875 |
+
"grad_norm": 0.09765625,
|
| 876 |
+
"learning_rate": 0.00017577613777867762,
|
| 877 |
+
"loss": 0.1185,
|
| 878 |
+
"step": 115
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.7331621568240174,
|
| 882 |
+
"grad_norm": 0.1064453125,
|
| 883 |
+
"learning_rate": 0.00017533259632633442,
|
| 884 |
+
"loss": 0.1337,
|
| 885 |
+
"step": 116
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.7394825202449141,
|
| 889 |
+
"grad_norm": 0.130859375,
|
| 890 |
+
"learning_rate": 0.00017488560148849427,
|
| 891 |
+
"loss": 0.1503,
|
| 892 |
+
"step": 117
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.7458028836658108,
|
| 896 |
+
"grad_norm": 0.10791015625,
|
| 897 |
+
"learning_rate": 0.00017443517375622704,
|
| 898 |
+
"loss": 0.1594,
|
| 899 |
+
"step": 118
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.7521232470867075,
|
| 903 |
+
"grad_norm": 0.1181640625,
|
| 904 |
+
"learning_rate": 0.0001739813337779727,
|
| 905 |
+
"loss": 0.1397,
|
| 906 |
+
"step": 119
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.7584436105076042,
|
| 910 |
+
"grad_norm": 0.10302734375,
|
| 911 |
+
"learning_rate": 0.00017352410235859503,
|
| 912 |
+
"loss": 0.1314,
|
| 913 |
+
"step": 120
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.7647639739285009,
|
| 917 |
+
"grad_norm": 0.115234375,
|
| 918 |
+
"learning_rate": 0.0001730635004584276,
|
| 919 |
+
"loss": 0.1466,
|
| 920 |
+
"step": 121
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.7710843373493976,
|
| 924 |
+
"grad_norm": 0.0986328125,
|
| 925 |
+
"learning_rate": 0.0001725995491923131,
|
| 926 |
+
"loss": 0.1147,
|
| 927 |
+
"step": 122
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.7774047007702943,
|
| 931 |
+
"grad_norm": 0.134765625,
|
| 932 |
+
"learning_rate": 0.0001721322698286354,
|
| 933 |
+
"loss": 0.1637,
|
| 934 |
+
"step": 123
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.783725064191191,
|
| 938 |
+
"grad_norm": 0.11279296875,
|
| 939 |
+
"learning_rate": 0.00017166168378834448,
|
| 940 |
+
"loss": 0.138,
|
| 941 |
+
"step": 124
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.7900454276120877,
|
| 945 |
+
"grad_norm": 0.11767578125,
|
| 946 |
+
"learning_rate": 0.00017118781264397446,
|
| 947 |
+
"loss": 0.1511,
|
| 948 |
+
"step": 125
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.7963657910329844,
|
| 952 |
+
"grad_norm": 0.115234375,
|
| 953 |
+
"learning_rate": 0.00017071067811865476,
|
| 954 |
+
"loss": 0.1407,
|
| 955 |
+
"step": 126
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.8026861544538811,
|
| 959 |
+
"grad_norm": 0.1064453125,
|
| 960 |
+
"learning_rate": 0.0001702303020851142,
|
| 961 |
+
"loss": 0.1342,
|
| 962 |
+
"step": 127
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.8090065178747778,
|
| 966 |
+
"grad_norm": 0.11865234375,
|
| 967 |
+
"learning_rate": 0.00016974670656467824,
|
| 968 |
+
"loss": 0.1336,
|
| 969 |
+
"step": 128
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.8090065178747778,
|
| 973 |
+
"eval_loss": 0.14203742146492004,
|
| 974 |
+
"eval_runtime": 58.4188,
|
| 975 |
+
"eval_samples_per_second": 18.248,
|
| 976 |
+
"eval_steps_per_second": 18.248,
|
| 977 |
+
"step": 128
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.8153268812956745,
|
| 981 |
+
"grad_norm": 0.1083984375,
|
| 982 |
+
"learning_rate": 0.0001692599137262597,
|
| 983 |
+
"loss": 0.1543,
|
| 984 |
+
"step": 129
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.8216472447165712,
|
| 988 |
+
"grad_norm": 0.0888671875,
|
| 989 |
+
"learning_rate": 0.00016876994588534234,
|
| 990 |
+
"loss": 0.1116,
|
| 991 |
+
"step": 130
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.827967608137468,
|
| 995 |
+
"grad_norm": 0.1044921875,
|
| 996 |
+
"learning_rate": 0.00016827682550295785,
|
| 997 |
+
"loss": 0.1267,
|
| 998 |
+
"step": 131
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.8342879715583646,
|
| 1002 |
+
"grad_norm": 0.10400390625,
|
| 1003 |
+
"learning_rate": 0.0001677805751846563,
|
| 1004 |
+
"loss": 0.1361,
|
| 1005 |
+
"step": 132
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.8406083349792614,
|
| 1009 |
+
"grad_norm": 0.11376953125,
|
| 1010 |
+
"learning_rate": 0.00016728121767946977,
|
| 1011 |
+
"loss": 0.1372,
|
| 1012 |
+
"step": 133
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.846928698400158,
|
| 1016 |
+
"grad_norm": 0.10498046875,
|
| 1017 |
+
"learning_rate": 0.00016677877587886956,
|
| 1018 |
+
"loss": 0.1258,
|
| 1019 |
+
"step": 134
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.8532490618210548,
|
| 1023 |
+
"grad_norm": 0.11669921875,
|
| 1024 |
+
"learning_rate": 0.00016627327281571678,
|
| 1025 |
+
"loss": 0.1427,
|
| 1026 |
+
"step": 135
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.8595694252419515,
|
| 1030 |
+
"grad_norm": 0.1328125,
|
| 1031 |
+
"learning_rate": 0.00016576473166320644,
|
| 1032 |
+
"loss": 0.187,
|
| 1033 |
+
"step": 136
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.8658897886628482,
|
| 1037 |
+
"grad_norm": 0.1044921875,
|
| 1038 |
+
"learning_rate": 0.00016525317573380525,
|
| 1039 |
+
"loss": 0.1417,
|
| 1040 |
+
"step": 137
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.8722101520837449,
|
| 1044 |
+
"grad_norm": 0.10107421875,
|
| 1045 |
+
"learning_rate": 0.00016473862847818277,
|
| 1046 |
+
"loss": 0.1399,
|
| 1047 |
+
"step": 138
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.8785305155046416,
|
| 1051 |
+
"grad_norm": 0.1025390625,
|
| 1052 |
+
"learning_rate": 0.00016422111348413657,
|
| 1053 |
+
"loss": 0.141,
|
| 1054 |
+
"step": 139
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.8848508789255383,
|
| 1058 |
+
"grad_norm": 0.1005859375,
|
| 1059 |
+
"learning_rate": 0.00016370065447551078,
|
| 1060 |
+
"loss": 0.1236,
|
| 1061 |
+
"step": 140
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.891171242346435,
|
| 1065 |
+
"grad_norm": 0.10205078125,
|
| 1066 |
+
"learning_rate": 0.0001631772753111086,
|
| 1067 |
+
"loss": 0.1236,
|
| 1068 |
+
"step": 141
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.8974916057673317,
|
| 1072 |
+
"grad_norm": 0.10302734375,
|
| 1073 |
+
"learning_rate": 0.00016265099998359866,
|
| 1074 |
+
"loss": 0.128,
|
| 1075 |
+
"step": 142
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.9038119691882284,
|
| 1079 |
+
"grad_norm": 0.09814453125,
|
| 1080 |
+
"learning_rate": 0.00016212185261841499,
|
| 1081 |
+
"loss": 0.1227,
|
| 1082 |
+
"step": 143
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.9101323326091251,
|
| 1086 |
+
"grad_norm": 0.1064453125,
|
| 1087 |
+
"learning_rate": 0.00016158985747265108,
|
| 1088 |
+
"loss": 0.1339,
|
| 1089 |
+
"step": 144
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.9101323326091251,
|
| 1093 |
+
"eval_loss": 0.1379576325416565,
|
| 1094 |
+
"eval_runtime": 61.2763,
|
| 1095 |
+
"eval_samples_per_second": 17.397,
|
| 1096 |
+
"eval_steps_per_second": 17.397,
|
| 1097 |
+
"step": 144
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.9164526960300218,
|
| 1101 |
+
"grad_norm": 0.10009765625,
|
| 1102 |
+
"learning_rate": 0.00016105503893394806,
|
| 1103 |
+
"loss": 0.1255,
|
| 1104 |
+
"step": 145
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.9227730594509185,
|
| 1108 |
+
"grad_norm": 0.103515625,
|
| 1109 |
+
"learning_rate": 0.00016051742151937655,
|
| 1110 |
+
"loss": 0.1237,
|
| 1111 |
+
"step": 146
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.9290934228718152,
|
| 1115 |
+
"grad_norm": 0.10009765625,
|
| 1116 |
+
"learning_rate": 0.0001599770298743128,
|
| 1117 |
+
"loss": 0.1212,
|
| 1118 |
+
"step": 147
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.9354137862927119,
|
| 1122 |
+
"grad_norm": 0.1123046875,
|
| 1123 |
+
"learning_rate": 0.000159433888771309,
|
| 1124 |
+
"loss": 0.1402,
|
| 1125 |
+
"step": 148
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.9417341497136086,
|
| 1129 |
+
"grad_norm": 0.11865234375,
|
| 1130 |
+
"learning_rate": 0.00015888802310895742,
|
| 1131 |
+
"loss": 0.1475,
|
| 1132 |
+
"step": 149
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.9480545131345053,
|
| 1136 |
+
"grad_norm": 0.1064453125,
|
| 1137 |
+
"learning_rate": 0.00015833945791074943,
|
| 1138 |
+
"loss": 0.1133,
|
| 1139 |
+
"step": 150
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.954374876555402,
|
| 1143 |
+
"grad_norm": 0.10986328125,
|
| 1144 |
+
"learning_rate": 0.00015778821832392777,
|
| 1145 |
+
"loss": 0.1336,
|
| 1146 |
+
"step": 151
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.9606952399762987,
|
| 1150 |
+
"grad_norm": 0.1162109375,
|
| 1151 |
+
"learning_rate": 0.0001572343296183344,
|
| 1152 |
+
"loss": 0.1479,
|
| 1153 |
+
"step": 152
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.9670156033971954,
|
| 1157 |
+
"grad_norm": 0.10546875,
|
| 1158 |
+
"learning_rate": 0.00015667781718525157,
|
| 1159 |
+
"loss": 0.1291,
|
| 1160 |
+
"step": 153
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.9733359668180921,
|
| 1164 |
+
"grad_norm": 0.11181640625,
|
| 1165 |
+
"learning_rate": 0.00015611870653623825,
|
| 1166 |
+
"loss": 0.1337,
|
| 1167 |
+
"step": 154
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.9796563302389888,
|
| 1171 |
+
"grad_norm": 0.09228515625,
|
| 1172 |
+
"learning_rate": 0.00015555702330196023,
|
| 1173 |
+
"loss": 0.1024,
|
| 1174 |
+
"step": 155
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.9859766936598855,
|
| 1178 |
+
"grad_norm": 0.10791015625,
|
| 1179 |
+
"learning_rate": 0.0001549927932310155,
|
| 1180 |
+
"loss": 0.1565,
|
| 1181 |
+
"step": 156
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.9922970570807822,
|
| 1185 |
+
"grad_norm": 0.10595703125,
|
| 1186 |
+
"learning_rate": 0.0001544260421887537,
|
| 1187 |
+
"loss": 0.1328,
|
| 1188 |
+
"step": 157
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.9986174205016789,
|
| 1192 |
+
"grad_norm": 0.1142578125,
|
| 1193 |
+
"learning_rate": 0.00015385679615609042,
|
| 1194 |
+
"loss": 0.164,
|
| 1195 |
+
"step": 158
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 1.0049377839225755,
|
| 1199 |
+
"grad_norm": 0.09814453125,
|
| 1200 |
+
"learning_rate": 0.00015328508122831636,
|
| 1201 |
+
"loss": 0.1184,
|
| 1202 |
+
"step": 159
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 1.0112581473434723,
|
| 1206 |
+
"grad_norm": 0.08935546875,
|
| 1207 |
+
"learning_rate": 0.00015271092361390077,
|
| 1208 |
+
"loss": 0.101,
|
| 1209 |
+
"step": 160
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 1.0112581473434723,
|
| 1213 |
+
"eval_loss": 0.13463501632213593,
|
| 1214 |
+
"eval_runtime": 57.8932,
|
| 1215 |
+
"eval_samples_per_second": 18.413,
|
| 1216 |
+
"eval_steps_per_second": 18.413,
|
| 1217 |
+
"step": 160
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 1.017578510764369,
|
| 1221 |
+
"grad_norm": 0.1005859375,
|
| 1222 |
+
"learning_rate": 0.0001521343496332903,
|
| 1223 |
+
"loss": 0.118,
|
| 1224 |
+
"step": 161
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 1.0238988741852657,
|
| 1228 |
+
"grad_norm": 0.087890625,
|
| 1229 |
+
"learning_rate": 0.00015155538571770218,
|
| 1230 |
+
"loss": 0.0956,
|
| 1231 |
+
"step": 162
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 1.0302192376061623,
|
| 1235 |
+
"grad_norm": 0.09912109375,
|
| 1236 |
+
"learning_rate": 0.00015097405840791276,
|
| 1237 |
+
"loss": 0.1089,
|
| 1238 |
+
"step": 163
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 1.036539601027059,
|
| 1242 |
+
"grad_norm": 0.0927734375,
|
| 1243 |
+
"learning_rate": 0.00015039039435304078,
|
| 1244 |
+
"loss": 0.093,
|
| 1245 |
+
"step": 164
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 1.0428599644479557,
|
| 1249 |
+
"grad_norm": 0.126953125,
|
| 1250 |
+
"learning_rate": 0.00014980442030932558,
|
| 1251 |
+
"loss": 0.1443,
|
| 1252 |
+
"step": 165
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 1.0491803278688525,
|
| 1256 |
+
"grad_norm": 0.10009765625,
|
| 1257 |
+
"learning_rate": 0.00014921616313890072,
|
| 1258 |
+
"loss": 0.1039,
|
| 1259 |
+
"step": 166
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 1.055500691289749,
|
| 1263 |
+
"grad_norm": 0.09619140625,
|
| 1264 |
+
"learning_rate": 0.00014862564980856258,
|
| 1265 |
+
"loss": 0.0798,
|
| 1266 |
+
"step": 167
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 1.061821054710646,
|
| 1270 |
+
"grad_norm": 0.12060546875,
|
| 1271 |
+
"learning_rate": 0.00014803290738853395,
|
| 1272 |
+
"loss": 0.1199,
|
| 1273 |
+
"step": 168
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 1.0681414181315425,
|
| 1277 |
+
"grad_norm": 0.11572265625,
|
| 1278 |
+
"learning_rate": 0.00014743796305122331,
|
| 1279 |
+
"loss": 0.1028,
|
| 1280 |
+
"step": 169
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 1.0744617815524393,
|
| 1284 |
+
"grad_norm": 0.10498046875,
|
| 1285 |
+
"learning_rate": 0.00014684084406997903,
|
| 1286 |
+
"loss": 0.097,
|
| 1287 |
+
"step": 170
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 1.080782144973336,
|
| 1291 |
+
"grad_norm": 0.10302734375,
|
| 1292 |
+
"learning_rate": 0.00014624157781783926,
|
| 1293 |
+
"loss": 0.0943,
|
| 1294 |
+
"step": 171
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 1.0871025083942327,
|
| 1298 |
+
"grad_norm": 0.1123046875,
|
| 1299 |
+
"learning_rate": 0.0001456401917662769,
|
| 1300 |
+
"loss": 0.0981,
|
| 1301 |
+
"step": 172
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 1.0934228718151293,
|
| 1305 |
+
"grad_norm": 0.10595703125,
|
| 1306 |
+
"learning_rate": 0.00014503671348394057,
|
| 1307 |
+
"loss": 0.1008,
|
| 1308 |
+
"step": 173
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 1.0997432352360261,
|
| 1312 |
+
"grad_norm": 0.12060546875,
|
| 1313 |
+
"learning_rate": 0.00014443117063539038,
|
| 1314 |
+
"loss": 0.1239,
|
| 1315 |
+
"step": 174
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 1.1060635986569227,
|
| 1319 |
+
"grad_norm": 0.11474609375,
|
| 1320 |
+
"learning_rate": 0.00014382359097983013,
|
| 1321 |
+
"loss": 0.1035,
|
| 1322 |
+
"step": 175
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 1.1123839620778195,
|
| 1326 |
+
"grad_norm": 0.0966796875,
|
| 1327 |
+
"learning_rate": 0.00014321400236983457,
|
| 1328 |
+
"loss": 0.0871,
|
| 1329 |
+
"step": 176
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 1.1123839620778195,
|
| 1333 |
+
"eval_loss": 0.13297832012176514,
|
| 1334 |
+
"eval_runtime": 57.7156,
|
| 1335 |
+
"eval_samples_per_second": 18.47,
|
| 1336 |
+
"eval_steps_per_second": 18.47,
|
| 1337 |
+
"step": 176
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 1.1187043254987161,
|
| 1341 |
+
"grad_norm": 0.10693359375,
|
| 1342 |
+
"learning_rate": 0.00014260243275007265,
|
| 1343 |
+
"loss": 0.1073,
|
| 1344 |
+
"step": 177
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"epoch": 1.125024688919613,
|
| 1348 |
+
"grad_norm": 0.1083984375,
|
| 1349 |
+
"learning_rate": 0.00014198891015602646,
|
| 1350 |
+
"loss": 0.1054,
|
| 1351 |
+
"step": 178
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"epoch": 1.1313450523405095,
|
| 1355 |
+
"grad_norm": 0.0947265625,
|
| 1356 |
+
"learning_rate": 0.00014137346271270604,
|
| 1357 |
+
"loss": 0.0977,
|
| 1358 |
+
"step": 179
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 1.1376654157614063,
|
| 1362 |
+
"grad_norm": 0.08837890625,
|
| 1363 |
+
"learning_rate": 0.0001407561186333601,
|
| 1364 |
+
"loss": 0.0839,
|
| 1365 |
+
"step": 180
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 1.143985779182303,
|
| 1369 |
+
"grad_norm": 0.11181640625,
|
| 1370 |
+
"learning_rate": 0.00014013690621818262,
|
| 1371 |
+
"loss": 0.1173,
|
| 1372 |
+
"step": 181
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 1.1503061426031997,
|
| 1376 |
+
"grad_norm": 0.10302734375,
|
| 1377 |
+
"learning_rate": 0.00013951585385301555,
|
| 1378 |
+
"loss": 0.113,
|
| 1379 |
+
"step": 182
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 1.1566265060240963,
|
| 1383 |
+
"grad_norm": 0.10498046875,
|
| 1384 |
+
"learning_rate": 0.0001388929900080476,
|
| 1385 |
+
"loss": 0.0938,
|
| 1386 |
+
"step": 183
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 1.1629468694449931,
|
| 1390 |
+
"grad_norm": 0.10205078125,
|
| 1391 |
+
"learning_rate": 0.000138268343236509,
|
| 1392 |
+
"loss": 0.0953,
|
| 1393 |
+
"step": 184
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 1.1692672328658897,
|
| 1397 |
+
"grad_norm": 0.099609375,
|
| 1398 |
+
"learning_rate": 0.00013764194217336264,
|
| 1399 |
+
"loss": 0.0954,
|
| 1400 |
+
"step": 185
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 1.1755875962867866,
|
| 1404 |
+
"grad_norm": 0.10400390625,
|
| 1405 |
+
"learning_rate": 0.00013701381553399145,
|
| 1406 |
+
"loss": 0.0971,
|
| 1407 |
+
"step": 186
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 1.1819079597076831,
|
| 1411 |
+
"grad_norm": 0.107421875,
|
| 1412 |
+
"learning_rate": 0.00013638399211288188,
|
| 1413 |
+
"loss": 0.0995,
|
| 1414 |
+
"step": 187
|
| 1415 |
+
},
|
| 1416 |
+
{
|
| 1417 |
+
"epoch": 1.18822832312858,
|
| 1418 |
+
"grad_norm": 0.11328125,
|
| 1419 |
+
"learning_rate": 0.000135752500782304,
|
| 1420 |
+
"loss": 0.1199,
|
| 1421 |
+
"step": 188
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 1.1945486865494765,
|
| 1425 |
+
"grad_norm": 0.10498046875,
|
| 1426 |
+
"learning_rate": 0.00013511937049098805,
|
| 1427 |
+
"loss": 0.0885,
|
| 1428 |
+
"step": 189
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 1.2008690499703734,
|
| 1432 |
+
"grad_norm": 0.1005859375,
|
| 1433 |
+
"learning_rate": 0.00013448463026279704,
|
| 1434 |
+
"loss": 0.0957,
|
| 1435 |
+
"step": 190
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 1.20718941339127,
|
| 1439 |
+
"grad_norm": 0.08740234375,
|
| 1440 |
+
"learning_rate": 0.0001338483091953967,
|
| 1441 |
+
"loss": 0.0753,
|
| 1442 |
+
"step": 191
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 1.2135097768121668,
|
| 1446 |
+
"grad_norm": 0.12353515625,
|
| 1447 |
+
"learning_rate": 0.0001332104364589212,
|
| 1448 |
+
"loss": 0.1035,
|
| 1449 |
+
"step": 192
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 1.2135097768121668,
|
| 1453 |
+
"eval_loss": 0.13200590014457703,
|
| 1454 |
+
"eval_runtime": 58.9558,
|
| 1455 |
+
"eval_samples_per_second": 18.081,
|
| 1456 |
+
"eval_steps_per_second": 18.081,
|
| 1457 |
+
"step": 192
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 1.2198301402330634,
|
| 1461 |
+
"grad_norm": 0.115234375,
|
| 1462 |
+
"learning_rate": 0.00013257104129463614,
|
| 1463 |
+
"loss": 0.104,
|
| 1464 |
+
"step": 193
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 1.2261505036539602,
|
| 1468 |
+
"grad_norm": 0.107421875,
|
| 1469 |
+
"learning_rate": 0.000131930153013598,
|
| 1470 |
+
"loss": 0.0966,
|
| 1471 |
+
"step": 194
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 1.2324708670748568,
|
| 1475 |
+
"grad_norm": 0.10791015625,
|
| 1476 |
+
"learning_rate": 0.00013128780099531056,
|
| 1477 |
+
"loss": 0.1062,
|
| 1478 |
+
"step": 195
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 1.2387912304957536,
|
| 1482 |
+
"grad_norm": 0.10888671875,
|
| 1483 |
+
"learning_rate": 0.00013064401468637792,
|
| 1484 |
+
"loss": 0.1027,
|
| 1485 |
+
"step": 196
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 1.2451115939166502,
|
| 1489 |
+
"grad_norm": 0.10546875,
|
| 1490 |
+
"learning_rate": 0.0001299988235991548,
|
| 1491 |
+
"loss": 0.0927,
|
| 1492 |
+
"step": 197
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"epoch": 1.251431957337547,
|
| 1496 |
+
"grad_norm": 0.11865234375,
|
| 1497 |
+
"learning_rate": 0.00012935225731039348,
|
| 1498 |
+
"loss": 0.1031,
|
| 1499 |
+
"step": 198
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 1.2577523207584436,
|
| 1503 |
+
"grad_norm": 0.10986328125,
|
| 1504 |
+
"learning_rate": 0.00012870434545988812,
|
| 1505 |
+
"loss": 0.109,
|
| 1506 |
+
"step": 199
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 1.2640726841793404,
|
| 1510 |
+
"grad_norm": 0.0888671875,
|
| 1511 |
+
"learning_rate": 0.00012805511774911584,
|
| 1512 |
+
"loss": 0.0835,
|
| 1513 |
+
"step": 200
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 1.270393047600237,
|
| 1517 |
+
"grad_norm": 0.09228515625,
|
| 1518 |
+
"learning_rate": 0.00012740460393987526,
|
| 1519 |
+
"loss": 0.0902,
|
| 1520 |
+
"step": 201
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 1.2767134110211338,
|
| 1524 |
+
"grad_norm": 0.10986328125,
|
| 1525 |
+
"learning_rate": 0.00012675283385292212,
|
| 1526 |
+
"loss": 0.114,
|
| 1527 |
+
"step": 202
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 1.2830337744420304,
|
| 1531 |
+
"grad_norm": 0.095703125,
|
| 1532 |
+
"learning_rate": 0.0001260998373666022,
|
| 1533 |
+
"loss": 0.0887,
|
| 1534 |
+
"step": 203
|
| 1535 |
+
},
|
| 1536 |
+
{
|
| 1537 |
+
"epoch": 1.2893541378629272,
|
| 1538 |
+
"grad_norm": 0.1103515625,
|
| 1539 |
+
"learning_rate": 0.00012544564441548182,
|
| 1540 |
+
"loss": 0.095,
|
| 1541 |
+
"step": 204
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 1.2956745012838238,
|
| 1545 |
+
"grad_norm": 0.099609375,
|
| 1546 |
+
"learning_rate": 0.00012479028498897535,
|
| 1547 |
+
"loss": 0.0883,
|
| 1548 |
+
"step": 205
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 1.3019948647047206,
|
| 1552 |
+
"grad_norm": 0.10498046875,
|
| 1553 |
+
"learning_rate": 0.00012413378912997058,
|
| 1554 |
+
"loss": 0.0824,
|
| 1555 |
+
"step": 206
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 1.3083152281256172,
|
| 1559 |
+
"grad_norm": 0.091796875,
|
| 1560 |
+
"learning_rate": 0.0001234761869334515,
|
| 1561 |
+
"loss": 0.0736,
|
| 1562 |
+
"step": 207
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 1.314635591546514,
|
| 1566 |
+
"grad_norm": 0.1103515625,
|
| 1567 |
+
"learning_rate": 0.0001228175085451186,
|
| 1568 |
+
"loss": 0.1025,
|
| 1569 |
+
"step": 208
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 1.314635591546514,
|
| 1573 |
+
"eval_loss": 0.13002794981002808,
|
| 1574 |
+
"eval_runtime": 57.2937,
|
| 1575 |
+
"eval_samples_per_second": 18.606,
|
| 1576 |
+
"eval_steps_per_second": 18.606,
|
| 1577 |
+
"step": 208
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 1.3209559549674106,
|
| 1581 |
+
"grad_norm": 0.1220703125,
|
| 1582 |
+
"learning_rate": 0.00012215778416000707,
|
| 1583 |
+
"loss": 0.1188,
|
| 1584 |
+
"step": 209
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.3272763183883074,
|
| 1588 |
+
"grad_norm": 0.1123046875,
|
| 1589 |
+
"learning_rate": 0.00012149704402110243,
|
| 1590 |
+
"loss": 0.101,
|
| 1591 |
+
"step": 210
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 1.333596681809204,
|
| 1595 |
+
"grad_norm": 0.1083984375,
|
| 1596 |
+
"learning_rate": 0.00012083531841795425,
|
| 1597 |
+
"loss": 0.1031,
|
| 1598 |
+
"step": 211
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 1.3399170452301008,
|
| 1602 |
+
"grad_norm": 0.1083984375,
|
| 1603 |
+
"learning_rate": 0.00012017263768528775,
|
| 1604 |
+
"loss": 0.0974,
|
| 1605 |
+
"step": 212
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 1.3462374086509974,
|
| 1609 |
+
"grad_norm": 0.11181640625,
|
| 1610 |
+
"learning_rate": 0.00011950903220161285,
|
| 1611 |
+
"loss": 0.1009,
|
| 1612 |
+
"step": 213
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 1.3525577720718942,
|
| 1616 |
+
"grad_norm": 0.10498046875,
|
| 1617 |
+
"learning_rate": 0.00011884453238783185,
|
| 1618 |
+
"loss": 0.1017,
|
| 1619 |
+
"step": 214
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 1.3588781354927908,
|
| 1623 |
+
"grad_norm": 0.1005859375,
|
| 1624 |
+
"learning_rate": 0.00011817916870584482,
|
| 1625 |
+
"loss": 0.095,
|
| 1626 |
+
"step": 215
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.3651984989136876,
|
| 1630 |
+
"grad_norm": 0.103515625,
|
| 1631 |
+
"learning_rate": 0.00011751297165715309,
|
| 1632 |
+
"loss": 0.1064,
|
| 1633 |
+
"step": 216
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 1.3715188623345842,
|
| 1637 |
+
"grad_norm": 0.11181640625,
|
| 1638 |
+
"learning_rate": 0.00011684597178146115,
|
| 1639 |
+
"loss": 0.106,
|
| 1640 |
+
"step": 217
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.377839225755481,
|
| 1644 |
+
"grad_norm": 0.1015625,
|
| 1645 |
+
"learning_rate": 0.0001161781996552765,
|
| 1646 |
+
"loss": 0.0836,
|
| 1647 |
+
"step": 218
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 1.3841595891763776,
|
| 1651 |
+
"grad_norm": 0.10107421875,
|
| 1652 |
+
"learning_rate": 0.00011550968589050799,
|
| 1653 |
+
"loss": 0.0933,
|
| 1654 |
+
"step": 219
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 1.3904799525972744,
|
| 1658 |
+
"grad_norm": 0.09619140625,
|
| 1659 |
+
"learning_rate": 0.00011484046113306262,
|
| 1660 |
+
"loss": 0.0874,
|
| 1661 |
+
"step": 220
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 1.396800316018171,
|
| 1665 |
+
"grad_norm": 0.11669921875,
|
| 1666 |
+
"learning_rate": 0.0001141705560614406,
|
| 1667 |
+
"loss": 0.1175,
|
| 1668 |
+
"step": 221
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 1.4031206794390678,
|
| 1672 |
+
"grad_norm": 0.10302734375,
|
| 1673 |
+
"learning_rate": 0.00011350000138532902,
|
| 1674 |
+
"loss": 0.1018,
|
| 1675 |
+
"step": 222
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 1.4094410428599644,
|
| 1679 |
+
"grad_norm": 0.11865234375,
|
| 1680 |
+
"learning_rate": 0.00011282882784419398,
|
| 1681 |
+
"loss": 0.1207,
|
| 1682 |
+
"step": 223
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.4157614062808612,
|
| 1686 |
+
"grad_norm": 0.103515625,
|
| 1687 |
+
"learning_rate": 0.00011215706620587149,
|
| 1688 |
+
"loss": 0.0936,
|
| 1689 |
+
"step": 224
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.4157614062808612,
|
| 1693 |
+
"eval_loss": 0.12633191049098969,
|
| 1694 |
+
"eval_runtime": 57.953,
|
| 1695 |
+
"eval_samples_per_second": 18.394,
|
| 1696 |
+
"eval_steps_per_second": 18.394,
|
| 1697 |
+
"step": 224
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 1.4220817697017578,
|
| 1701 |
+
"grad_norm": 0.10986328125,
|
| 1702 |
+
"learning_rate": 0.00011148474726515716,
|
| 1703 |
+
"loss": 0.0982,
|
| 1704 |
+
"step": 225
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 1.4284021331226546,
|
| 1708 |
+
"grad_norm": 0.1005859375,
|
| 1709 |
+
"learning_rate": 0.00011081190184239419,
|
| 1710 |
+
"loss": 0.0912,
|
| 1711 |
+
"step": 226
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 1.4347224965435512,
|
| 1715 |
+
"grad_norm": 0.11083984375,
|
| 1716 |
+
"learning_rate": 0.0001101385607820608,
|
| 1717 |
+
"loss": 0.1165,
|
| 1718 |
+
"step": 227
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 1.441042859964448,
|
| 1722 |
+
"grad_norm": 0.1103515625,
|
| 1723 |
+
"learning_rate": 0.0001094647549513561,
|
| 1724 |
+
"loss": 0.0996,
|
| 1725 |
+
"step": 228
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 1.4473632233853446,
|
| 1729 |
+
"grad_norm": 0.10986328125,
|
| 1730 |
+
"learning_rate": 0.00010879051523878522,
|
| 1731 |
+
"loss": 0.0946,
|
| 1732 |
+
"step": 229
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 1.4536835868062414,
|
| 1736 |
+
"grad_norm": 0.1083984375,
|
| 1737 |
+
"learning_rate": 0.00010811587255274313,
|
| 1738 |
+
"loss": 0.1126,
|
| 1739 |
+
"step": 230
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 1.460003950227138,
|
| 1743 |
+
"grad_norm": 0.09765625,
|
| 1744 |
+
"learning_rate": 0.00010744085782009792,
|
| 1745 |
+
"loss": 0.0875,
|
| 1746 |
+
"step": 231
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 1.4663243136480348,
|
| 1750 |
+
"grad_norm": 0.109375,
|
| 1751 |
+
"learning_rate": 0.00010676550198477293,
|
| 1752 |
+
"loss": 0.0989,
|
| 1753 |
+
"step": 232
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 1.4726446770689314,
|
| 1757 |
+
"grad_norm": 0.11376953125,
|
| 1758 |
+
"learning_rate": 0.00010608983600632831,
|
| 1759 |
+
"loss": 0.1057,
|
| 1760 |
+
"step": 233
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 1.4789650404898282,
|
| 1764 |
+
"grad_norm": 0.10791015625,
|
| 1765 |
+
"learning_rate": 0.00010541389085854176,
|
| 1766 |
+
"loss": 0.0906,
|
| 1767 |
+
"step": 234
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 1.4852854039107248,
|
| 1771 |
+
"grad_norm": 0.10400390625,
|
| 1772 |
+
"learning_rate": 0.00010473769752798859,
|
| 1773 |
+
"loss": 0.0872,
|
| 1774 |
+
"step": 235
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 1.4916057673316216,
|
| 1778 |
+
"grad_norm": 0.109375,
|
| 1779 |
+
"learning_rate": 0.00010406128701262128,
|
| 1780 |
+
"loss": 0.1047,
|
| 1781 |
+
"step": 236
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 1.4979261307525182,
|
| 1785 |
+
"grad_norm": 0.11083984375,
|
| 1786 |
+
"learning_rate": 0.00010338469032034845,
|
| 1787 |
+
"loss": 0.0926,
|
| 1788 |
+
"step": 237
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 1.5042464941734148,
|
| 1792 |
+
"grad_norm": 0.10498046875,
|
| 1793 |
+
"learning_rate": 0.00010270793846761347,
|
| 1794 |
+
"loss": 0.0905,
|
| 1795 |
+
"step": 238
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 1.5105668575943116,
|
| 1799 |
+
"grad_norm": 0.11279296875,
|
| 1800 |
+
"learning_rate": 0.00010203106247797243,
|
| 1801 |
+
"loss": 0.0996,
|
| 1802 |
+
"step": 239
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 1.5168872210152085,
|
| 1806 |
+
"grad_norm": 0.09326171875,
|
| 1807 |
+
"learning_rate": 0.00010135409338067219,
|
| 1808 |
+
"loss": 0.0797,
|
| 1809 |
+
"step": 240
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 1.5168872210152085,
|
| 1813 |
+
"eval_loss": 0.1241099089384079,
|
| 1814 |
+
"eval_runtime": 60.1424,
|
| 1815 |
+
"eval_samples_per_second": 17.725,
|
| 1816 |
+
"eval_steps_per_second": 17.725,
|
| 1817 |
+
"step": 240
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 1.523207584436105,
|
| 1821 |
+
"grad_norm": 0.11083984375,
|
| 1822 |
+
"learning_rate": 0.00010067706220922785,
|
| 1823 |
+
"loss": 0.0839,
|
| 1824 |
+
"step": 241
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 1.5295279478570016,
|
| 1828 |
+
"grad_norm": 0.123046875,
|
| 1829 |
+
"learning_rate": 0.0001,
|
| 1830 |
+
"loss": 0.0984,
|
| 1831 |
+
"step": 242
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 1.5358483112778984,
|
| 1835 |
+
"grad_norm": 0.1015625,
|
| 1836 |
+
"learning_rate": 9.932293779077216e-05,
|
| 1837 |
+
"loss": 0.0893,
|
| 1838 |
+
"step": 243
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 1.5421686746987953,
|
| 1842 |
+
"grad_norm": 0.1103515625,
|
| 1843 |
+
"learning_rate": 9.864590661932783e-05,
|
| 1844 |
+
"loss": 0.0972,
|
| 1845 |
+
"step": 244
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 1.5484890381196919,
|
| 1849 |
+
"grad_norm": 0.10693359375,
|
| 1850 |
+
"learning_rate": 9.796893752202758e-05,
|
| 1851 |
+
"loss": 0.0886,
|
| 1852 |
+
"step": 245
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 1.5548094015405884,
|
| 1856 |
+
"grad_norm": 0.1044921875,
|
| 1857 |
+
"learning_rate": 9.729206153238657e-05,
|
| 1858 |
+
"loss": 0.0971,
|
| 1859 |
+
"step": 246
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 1.5611297649614853,
|
| 1863 |
+
"grad_norm": 0.11083984375,
|
| 1864 |
+
"learning_rate": 9.661530967965156e-05,
|
| 1865 |
+
"loss": 0.108,
|
| 1866 |
+
"step": 247
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 1.567450128382382,
|
| 1870 |
+
"grad_norm": 0.09521484375,
|
| 1871 |
+
"learning_rate": 9.59387129873787e-05,
|
| 1872 |
+
"loss": 0.0826,
|
| 1873 |
+
"step": 248
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 1.5737704918032787,
|
| 1877 |
+
"grad_norm": 0.09326171875,
|
| 1878 |
+
"learning_rate": 9.526230247201142e-05,
|
| 1879 |
+
"loss": 0.0875,
|
| 1880 |
+
"step": 249
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 1.5800908552241753,
|
| 1884 |
+
"grad_norm": 0.078125,
|
| 1885 |
+
"learning_rate": 9.458610914145826e-05,
|
| 1886 |
+
"loss": 0.0742,
|
| 1887 |
+
"step": 250
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 1.586411218645072,
|
| 1891 |
+
"grad_norm": 0.1064453125,
|
| 1892 |
+
"learning_rate": 9.391016399367172e-05,
|
| 1893 |
+
"loss": 0.0981,
|
| 1894 |
+
"step": 251
|
| 1895 |
+
},
|
| 1896 |
+
{
|
| 1897 |
+
"epoch": 1.5927315820659689,
|
| 1898 |
+
"grad_norm": 0.1083984375,
|
| 1899 |
+
"learning_rate": 9.323449801522709e-05,
|
| 1900 |
+
"loss": 0.1035,
|
| 1901 |
+
"step": 252
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 1.5990519454868655,
|
| 1905 |
+
"grad_norm": 0.119140625,
|
| 1906 |
+
"learning_rate": 9.255914217990211e-05,
|
| 1907 |
+
"loss": 0.111,
|
| 1908 |
+
"step": 253
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 1.605372308907762,
|
| 1912 |
+
"grad_norm": 0.10205078125,
|
| 1913 |
+
"learning_rate": 9.18841274472569e-05,
|
| 1914 |
+
"loss": 0.0855,
|
| 1915 |
+
"step": 254
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 1.6116926723286589,
|
| 1919 |
+
"grad_norm": 0.09423828125,
|
| 1920 |
+
"learning_rate": 9.120948476121479e-05,
|
| 1921 |
+
"loss": 0.0889,
|
| 1922 |
+
"step": 255
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 1.6180130357495557,
|
| 1926 |
+
"grad_norm": 0.11328125,
|
| 1927 |
+
"learning_rate": 9.05352450486439e-05,
|
| 1928 |
+
"loss": 0.1014,
|
| 1929 |
+
"step": 256
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 1.6180130357495557,
|
| 1933 |
+
"eval_loss": 0.12204406410455704,
|
| 1934 |
+
"eval_runtime": 58.4358,
|
| 1935 |
+
"eval_samples_per_second": 18.242,
|
| 1936 |
+
"eval_steps_per_second": 18.242,
|
| 1937 |
+
"step": 256
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 1.6243333991704523,
|
| 1941 |
+
"grad_norm": 0.10205078125,
|
| 1942 |
+
"learning_rate": 8.986143921793923e-05,
|
| 1943 |
+
"loss": 0.0858,
|
| 1944 |
+
"step": 257
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 1.6306537625913489,
|
| 1948 |
+
"grad_norm": 0.11474609375,
|
| 1949 |
+
"learning_rate": 8.918809815760585e-05,
|
| 1950 |
+
"loss": 0.1131,
|
| 1951 |
+
"step": 258
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 1.6369741260122457,
|
| 1955 |
+
"grad_norm": 0.1103515625,
|
| 1956 |
+
"learning_rate": 8.851525273484286e-05,
|
| 1957 |
+
"loss": 0.1018,
|
| 1958 |
+
"step": 259
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 1.6432944894331425,
|
| 1962 |
+
"grad_norm": 0.126953125,
|
| 1963 |
+
"learning_rate": 8.78429337941285e-05,
|
| 1964 |
+
"loss": 0.1183,
|
| 1965 |
+
"step": 260
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 1.649614852854039,
|
| 1969 |
+
"grad_norm": 0.123046875,
|
| 1970 |
+
"learning_rate": 8.717117215580606e-05,
|
| 1971 |
+
"loss": 0.1097,
|
| 1972 |
+
"step": 261
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 1.6559352162749357,
|
| 1976 |
+
"grad_norm": 0.107421875,
|
| 1977 |
+
"learning_rate": 8.649999861467099e-05,
|
| 1978 |
+
"loss": 0.095,
|
| 1979 |
+
"step": 262
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 1.6622555796958325,
|
| 1983 |
+
"grad_norm": 0.099609375,
|
| 1984 |
+
"learning_rate": 8.582944393855941e-05,
|
| 1985 |
+
"loss": 0.0839,
|
| 1986 |
+
"step": 263
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 1.6685759431167293,
|
| 1990 |
+
"grad_norm": 0.10791015625,
|
| 1991 |
+
"learning_rate": 8.515953886693739e-05,
|
| 1992 |
+
"loss": 0.0958,
|
| 1993 |
+
"step": 264
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 1.674896306537626,
|
| 1997 |
+
"grad_norm": 0.1005859375,
|
| 1998 |
+
"learning_rate": 8.449031410949206e-05,
|
| 1999 |
+
"loss": 0.0951,
|
| 2000 |
+
"step": 265
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 1.6812166699585225,
|
| 2004 |
+
"grad_norm": 0.103515625,
|
| 2005 |
+
"learning_rate": 8.382180034472353e-05,
|
| 2006 |
+
"loss": 0.0948,
|
| 2007 |
+
"step": 266
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 1.6875370333794193,
|
| 2011 |
+
"grad_norm": 0.10302734375,
|
| 2012 |
+
"learning_rate": 8.315402821853886e-05,
|
| 2013 |
+
"loss": 0.0828,
|
| 2014 |
+
"step": 267
|
| 2015 |
+
},
|
| 2016 |
+
{
|
| 2017 |
+
"epoch": 1.693857396800316,
|
| 2018 |
+
"grad_norm": 0.10546875,
|
| 2019 |
+
"learning_rate": 8.248702834284693e-05,
|
| 2020 |
+
"loss": 0.0984,
|
| 2021 |
+
"step": 268
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 1.7001777602212127,
|
| 2025 |
+
"grad_norm": 0.10400390625,
|
| 2026 |
+
"learning_rate": 8.18208312941552e-05,
|
| 2027 |
+
"loss": 0.0949,
|
| 2028 |
+
"step": 269
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 1.7064981236421093,
|
| 2032 |
+
"grad_norm": 0.1240234375,
|
| 2033 |
+
"learning_rate": 8.115546761216822e-05,
|
| 2034 |
+
"loss": 0.1149,
|
| 2035 |
+
"step": 270
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"epoch": 1.712818487063006,
|
| 2039 |
+
"grad_norm": 0.11474609375,
|
| 2040 |
+
"learning_rate": 8.049096779838719e-05,
|
| 2041 |
+
"loss": 0.1048,
|
| 2042 |
+
"step": 271
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 1.719138850483903,
|
| 2046 |
+
"grad_norm": 0.109375,
|
| 2047 |
+
"learning_rate": 7.982736231471224e-05,
|
| 2048 |
+
"loss": 0.0984,
|
| 2049 |
+
"step": 272
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 1.719138850483903,
|
| 2053 |
+
"eval_loss": 0.11962020397186279,
|
| 2054 |
+
"eval_runtime": 57.5297,
|
| 2055 |
+
"eval_samples_per_second": 18.53,
|
| 2056 |
+
"eval_steps_per_second": 18.53,
|
| 2057 |
+
"step": 272
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 1.7254592139047995,
|
| 2061 |
+
"grad_norm": 0.10546875,
|
| 2062 |
+
"learning_rate": 7.916468158204576e-05,
|
| 2063 |
+
"loss": 0.0984,
|
| 2064 |
+
"step": 273
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 1.731779577325696,
|
| 2068 |
+
"grad_norm": 0.10791015625,
|
| 2069 |
+
"learning_rate": 7.85029559788976e-05,
|
| 2070 |
+
"loss": 0.1061,
|
| 2071 |
+
"step": 274
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"epoch": 1.738099940746593,
|
| 2075 |
+
"grad_norm": 0.099609375,
|
| 2076 |
+
"learning_rate": 7.784221583999298e-05,
|
| 2077 |
+
"loss": 0.087,
|
| 2078 |
+
"step": 275
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 1.7444203041674897,
|
| 2082 |
+
"grad_norm": 0.0966796875,
|
| 2083 |
+
"learning_rate": 7.718249145488142e-05,
|
| 2084 |
+
"loss": 0.0869,
|
| 2085 |
+
"step": 276
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 1.7507406675883863,
|
| 2089 |
+
"grad_norm": 0.107421875,
|
| 2090 |
+
"learning_rate": 7.652381306654851e-05,
|
| 2091 |
+
"loss": 0.112,
|
| 2092 |
+
"step": 277
|
| 2093 |
+
},
|
| 2094 |
+
{
|
| 2095 |
+
"epoch": 1.757061031009283,
|
| 2096 |
+
"grad_norm": 0.0849609375,
|
| 2097 |
+
"learning_rate": 7.586621087002945e-05,
|
| 2098 |
+
"loss": 0.0796,
|
| 2099 |
+
"step": 278
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 1.7633813944301797,
|
| 2103 |
+
"grad_norm": 0.09375,
|
| 2104 |
+
"learning_rate": 7.520971501102469e-05,
|
| 2105 |
+
"loss": 0.0835,
|
| 2106 |
+
"step": 279
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 1.7697017578510765,
|
| 2110 |
+
"grad_norm": 0.1103515625,
|
| 2111 |
+
"learning_rate": 7.455435558451823e-05,
|
| 2112 |
+
"loss": 0.1032,
|
| 2113 |
+
"step": 280
|
| 2114 |
+
},
|
| 2115 |
+
{
|
| 2116 |
+
"epoch": 1.7760221212719731,
|
| 2117 |
+
"grad_norm": 0.1064453125,
|
| 2118 |
+
"learning_rate": 7.390016263339782e-05,
|
| 2119 |
+
"loss": 0.0877,
|
| 2120 |
+
"step": 281
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 1.7823424846928697,
|
| 2124 |
+
"grad_norm": 0.0986328125,
|
| 2125 |
+
"learning_rate": 7.324716614707793e-05,
|
| 2126 |
+
"loss": 0.086,
|
| 2127 |
+
"step": 282
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 1.7886628481137665,
|
| 2131 |
+
"grad_norm": 0.09619140625,
|
| 2132 |
+
"learning_rate": 7.259539606012478e-05,
|
| 2133 |
+
"loss": 0.0813,
|
| 2134 |
+
"step": 283
|
| 2135 |
+
},
|
| 2136 |
+
{
|
| 2137 |
+
"epoch": 1.7949832115346633,
|
| 2138 |
+
"grad_norm": 0.10595703125,
|
| 2139 |
+
"learning_rate": 7.194488225088417e-05,
|
| 2140 |
+
"loss": 0.0899,
|
| 2141 |
+
"step": 284
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 1.80130357495556,
|
| 2145 |
+
"grad_norm": 0.1171875,
|
| 2146 |
+
"learning_rate": 7.129565454011189e-05,
|
| 2147 |
+
"loss": 0.1086,
|
| 2148 |
+
"step": 285
|
| 2149 |
+
},
|
| 2150 |
+
{
|
| 2151 |
+
"epoch": 1.8076239383764565,
|
| 2152 |
+
"grad_norm": 0.1142578125,
|
| 2153 |
+
"learning_rate": 7.064774268960653e-05,
|
| 2154 |
+
"loss": 0.1115,
|
| 2155 |
+
"step": 286
|
| 2156 |
+
},
|
| 2157 |
+
{
|
| 2158 |
+
"epoch": 1.8139443017973533,
|
| 2159 |
+
"grad_norm": 0.1103515625,
|
| 2160 |
+
"learning_rate": 7.000117640084526e-05,
|
| 2161 |
+
"loss": 0.0908,
|
| 2162 |
+
"step": 287
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 1.8202646652182501,
|
| 2166 |
+
"grad_norm": 0.11181640625,
|
| 2167 |
+
"learning_rate": 6.93559853136221e-05,
|
| 2168 |
+
"loss": 0.1078,
|
| 2169 |
+
"step": 288
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 1.8202646652182501,
|
| 2173 |
+
"eval_loss": 0.11839400231838226,
|
| 2174 |
+
"eval_runtime": 58.7653,
|
| 2175 |
+
"eval_samples_per_second": 18.14,
|
| 2176 |
+
"eval_steps_per_second": 18.14,
|
| 2177 |
+
"step": 288
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 1.8265850286391467,
|
| 2181 |
+
"grad_norm": 0.10400390625,
|
| 2182 |
+
"learning_rate": 6.871219900468947e-05,
|
| 2183 |
+
"loss": 0.0937,
|
| 2184 |
+
"step": 289
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 1.8329053920600433,
|
| 2188 |
+
"grad_norm": 0.1025390625,
|
| 2189 |
+
"learning_rate": 6.806984698640202e-05,
|
| 2190 |
+
"loss": 0.0832,
|
| 2191 |
+
"step": 290
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 1.8392257554809401,
|
| 2195 |
+
"grad_norm": 0.10302734375,
|
| 2196 |
+
"learning_rate": 6.742895870536388e-05,
|
| 2197 |
+
"loss": 0.0926,
|
| 2198 |
+
"step": 291
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 1.845546118901837,
|
| 2202 |
+
"grad_norm": 0.10693359375,
|
| 2203 |
+
"learning_rate": 6.678956354107882e-05,
|
| 2204 |
+
"loss": 0.0926,
|
| 2205 |
+
"step": 292
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 1.8518664823227335,
|
| 2209 |
+
"grad_norm": 0.10986328125,
|
| 2210 |
+
"learning_rate": 6.615169080460331e-05,
|
| 2211 |
+
"loss": 0.0896,
|
| 2212 |
+
"step": 293
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 1.8581868457436301,
|
| 2216 |
+
"grad_norm": 0.109375,
|
| 2217 |
+
"learning_rate": 6.551536973720298e-05,
|
| 2218 |
+
"loss": 0.0857,
|
| 2219 |
+
"step": 294
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 1.864507209164527,
|
| 2223 |
+
"grad_norm": 0.09765625,
|
| 2224 |
+
"learning_rate": 6.488062950901198e-05,
|
| 2225 |
+
"loss": 0.0735,
|
| 2226 |
+
"step": 295
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 1.8708275725854238,
|
| 2230 |
+
"grad_norm": 0.1083984375,
|
| 2231 |
+
"learning_rate": 6.4247499217696e-05,
|
| 2232 |
+
"loss": 0.0998,
|
| 2233 |
+
"step": 296
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 1.8771479360063204,
|
| 2237 |
+
"grad_norm": 0.10205078125,
|
| 2238 |
+
"learning_rate": 6.361600788711816e-05,
|
| 2239 |
+
"loss": 0.0926,
|
| 2240 |
+
"step": 297
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 1.883468299427217,
|
| 2244 |
+
"grad_norm": 0.10595703125,
|
| 2245 |
+
"learning_rate": 6.298618446600856e-05,
|
| 2246 |
+
"loss": 0.0913,
|
| 2247 |
+
"step": 298
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 1.8897886628481138,
|
| 2251 |
+
"grad_norm": 0.09033203125,
|
| 2252 |
+
"learning_rate": 6.23580578266374e-05,
|
| 2253 |
+
"loss": 0.0759,
|
| 2254 |
+
"step": 299
|
| 2255 |
+
},
|
| 2256 |
+
{
|
| 2257 |
+
"epoch": 1.8961090262690106,
|
| 2258 |
+
"grad_norm": 0.1083984375,
|
| 2259 |
+
"learning_rate": 6.173165676349103e-05,
|
| 2260 |
+
"loss": 0.0897,
|
| 2261 |
+
"step": 300
|
| 2262 |
+
},
|
| 2263 |
+
{
|
| 2264 |
+
"epoch": 1.9024293896899072,
|
| 2265 |
+
"grad_norm": 0.10546875,
|
| 2266 |
+
"learning_rate": 6.11070099919524e-05,
|
| 2267 |
+
"loss": 0.0881,
|
| 2268 |
+
"step": 301
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 1.9087497531108037,
|
| 2272 |
+
"grad_norm": 0.1181640625,
|
| 2273 |
+
"learning_rate": 6.048414614698448e-05,
|
| 2274 |
+
"loss": 0.1177,
|
| 2275 |
+
"step": 302
|
| 2276 |
+
},
|
| 2277 |
+
{
|
| 2278 |
+
"epoch": 1.9150701165317006,
|
| 2279 |
+
"grad_norm": 0.1171875,
|
| 2280 |
+
"learning_rate": 5.9863093781817394e-05,
|
| 2281 |
+
"loss": 0.1063,
|
| 2282 |
+
"step": 303
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 1.9213904799525974,
|
| 2286 |
+
"grad_norm": 0.09912109375,
|
| 2287 |
+
"learning_rate": 5.924388136663992e-05,
|
| 2288 |
+
"loss": 0.0803,
|
| 2289 |
+
"step": 304
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 1.9213904799525974,
|
| 2293 |
+
"eval_loss": 0.1170881986618042,
|
| 2294 |
+
"eval_runtime": 57.9811,
|
| 2295 |
+
"eval_samples_per_second": 18.385,
|
| 2296 |
+
"eval_steps_per_second": 18.385,
|
| 2297 |
+
"step": 304
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 1.927710843373494,
|
| 2301 |
+
"grad_norm": 0.10791015625,
|
| 2302 |
+
"learning_rate": 5.862653728729397e-05,
|
| 2303 |
+
"loss": 0.0821,
|
| 2304 |
+
"step": 305
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 1.9340312067943906,
|
| 2308 |
+
"grad_norm": 0.09716796875,
|
| 2309 |
+
"learning_rate": 5.801108984397354e-05,
|
| 2310 |
+
"loss": 0.0752,
|
| 2311 |
+
"step": 306
|
| 2312 |
+
},
|
| 2313 |
+
{
|
| 2314 |
+
"epoch": 1.9403515702152874,
|
| 2315 |
+
"grad_norm": 0.0947265625,
|
| 2316 |
+
"learning_rate": 5.739756724992736e-05,
|
| 2317 |
+
"loss": 0.0751,
|
| 2318 |
+
"step": 307
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 1.9466719336361842,
|
| 2322 |
+
"grad_norm": 0.10302734375,
|
| 2323 |
+
"learning_rate": 5.6785997630165435e-05,
|
| 2324 |
+
"loss": 0.1088,
|
| 2325 |
+
"step": 308
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 1.9529922970570808,
|
| 2329 |
+
"grad_norm": 0.1083984375,
|
| 2330 |
+
"learning_rate": 5.61764090201699e-05,
|
| 2331 |
+
"loss": 0.0907,
|
| 2332 |
+
"step": 309
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"epoch": 1.9593126604779774,
|
| 2336 |
+
"grad_norm": 0.12158203125,
|
| 2337 |
+
"learning_rate": 5.5568829364609664e-05,
|
| 2338 |
+
"loss": 0.0985,
|
| 2339 |
+
"step": 310
|
| 2340 |
+
},
|
| 2341 |
+
{
|
| 2342 |
+
"epoch": 1.9656330238988742,
|
| 2343 |
+
"grad_norm": 0.10498046875,
|
| 2344 |
+
"learning_rate": 5.4963286516059496e-05,
|
| 2345 |
+
"loss": 0.0851,
|
| 2346 |
+
"step": 311
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 1.971953387319771,
|
| 2350 |
+
"grad_norm": 0.1083984375,
|
| 2351 |
+
"learning_rate": 5.435980823372311e-05,
|
| 2352 |
+
"loss": 0.0865,
|
| 2353 |
+
"step": 312
|
| 2354 |
+
},
|
| 2355 |
+
{
|
| 2356 |
+
"epoch": 1.9782737507406676,
|
| 2357 |
+
"grad_norm": 0.107421875,
|
| 2358 |
+
"learning_rate": 5.375842218216076e-05,
|
| 2359 |
+
"loss": 0.0911,
|
| 2360 |
+
"step": 313
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 1.9845941141615642,
|
| 2364 |
+
"grad_norm": 0.1025390625,
|
| 2365 |
+
"learning_rate": 5.3159155930021e-05,
|
| 2366 |
+
"loss": 0.0886,
|
| 2367 |
+
"step": 314
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 1.990914477582461,
|
| 2371 |
+
"grad_norm": 0.10107421875,
|
| 2372 |
+
"learning_rate": 5.25620369487767e-05,
|
| 2373 |
+
"loss": 0.0853,
|
| 2374 |
+
"step": 315
|
| 2375 |
+
},
|
| 2376 |
+
{
|
| 2377 |
+
"epoch": 1.9972348410033578,
|
| 2378 |
+
"grad_norm": 0.09423828125,
|
| 2379 |
+
"learning_rate": 5.196709261146606e-05,
|
| 2380 |
+
"loss": 0.0692,
|
| 2381 |
+
"step": 316
|
| 2382 |
+
}
|
| 2383 |
+
],
|
| 2384 |
+
"logging_steps": 1,
|
| 2385 |
+
"max_steps": 474,
|
| 2386 |
+
"num_input_tokens_seen": 0,
|
| 2387 |
+
"num_train_epochs": 3,
|
| 2388 |
+
"save_steps": 79,
|
| 2389 |
+
"stateful_callbacks": {
|
| 2390 |
+
"TrainerControl": {
|
| 2391 |
+
"args": {
|
| 2392 |
+
"should_epoch_stop": false,
|
| 2393 |
+
"should_evaluate": false,
|
| 2394 |
+
"should_log": false,
|
| 2395 |
+
"should_save": true,
|
| 2396 |
+
"should_training_stop": false
|
| 2397 |
+
},
|
| 2398 |
+
"attributes": {}
|
| 2399 |
+
}
|
| 2400 |
+
},
|
| 2401 |
+
"total_flos": 5.543627085840384e+17,
|
| 2402 |
+
"train_batch_size": 1,
|
| 2403 |
+
"trial_name": null,
|
| 2404 |
+
"trial_params": null
|
| 2405 |
+
}
|
checkpoint-316/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a42e672d0e98a9d5136262dff4f57ed4188e95ecf91a7d717efb480df19275c
|
| 3 |
+
size 6072
|
checkpoint-395/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-395/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
checkpoint-395/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e12b0eae18e26a4a7930ceef2f5ed4442733ae5006e4c06941f440e4054feb3
|
| 3 |
+
size 320400712
|
checkpoint-395/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e77c099a248ad80c40be681f0caee737fb51a0dba7e84ded52e63b8743a183f
|
| 3 |
+
size 1281635770
|
checkpoint-395/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f930d1c6e657408bef0a040eb8644123f0e9dd5f71fc6b9e047a592dffebb9d0
|
| 3 |
+
size 14244
|
checkpoint-395/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f53bc6f0b0e24a9298eea51bbdc197c47b2cbe3ad36293325f0318532f863606
|
| 3 |
+
size 1064
|
checkpoint-395/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<fim_prefix>",
|
| 6 |
+
"<fim_middle>",
|
| 7 |
+
"<fim_suffix>",
|
| 8 |
+
"<fim_pad>"
|
| 9 |
+
],
|
| 10 |
+
"bos_token": {
|
| 11 |
+
"content": "<|endoftext|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<fim_pad>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"unk_token": {
|
| 32 |
+
"content": "<unk>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-395/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-395/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-395/trainer_state.json
ADDED
|
@@ -0,0 +1,2998 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.496543551254197,
|
| 5 |
+
"eval_steps": 16,
|
| 6 |
+
"global_step": 395,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.006320363420896702,
|
| 13 |
+
"grad_norm": 0.48046875,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 0.6497,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.006320363420896702,
|
| 20 |
+
"eval_loss": 0.5998793244361877,
|
| 21 |
+
"eval_runtime": 56.2331,
|
| 22 |
+
"eval_samples_per_second": 18.957,
|
| 23 |
+
"eval_steps_per_second": 18.957,
|
| 24 |
+
"step": 1
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.012640726841793404,
|
| 28 |
+
"grad_norm": 0.470703125,
|
| 29 |
+
"learning_rate": 4e-05,
|
| 30 |
+
"loss": 0.6349,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.018961090262690106,
|
| 35 |
+
"grad_norm": 0.46875,
|
| 36 |
+
"learning_rate": 6e-05,
|
| 37 |
+
"loss": 0.5832,
|
| 38 |
+
"step": 3
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.025281453683586808,
|
| 42 |
+
"grad_norm": 0.47265625,
|
| 43 |
+
"learning_rate": 8e-05,
|
| 44 |
+
"loss": 0.557,
|
| 45 |
+
"step": 4
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.03160181710448351,
|
| 49 |
+
"grad_norm": 0.35546875,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 0.4966,
|
| 52 |
+
"step": 5
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03792218052538021,
|
| 56 |
+
"grad_norm": 0.31640625,
|
| 57 |
+
"learning_rate": 0.00012,
|
| 58 |
+
"loss": 0.3771,
|
| 59 |
+
"step": 6
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.04424254394627691,
|
| 63 |
+
"grad_norm": 0.298828125,
|
| 64 |
+
"learning_rate": 0.00014,
|
| 65 |
+
"loss": 0.318,
|
| 66 |
+
"step": 7
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.050562907367173615,
|
| 70 |
+
"grad_norm": 0.36328125,
|
| 71 |
+
"learning_rate": 0.00016,
|
| 72 |
+
"loss": 0.296,
|
| 73 |
+
"step": 8
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.05688327078807032,
|
| 77 |
+
"grad_norm": 0.3046875,
|
| 78 |
+
"learning_rate": 0.00018,
|
| 79 |
+
"loss": 0.2682,
|
| 80 |
+
"step": 9
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.06320363420896702,
|
| 84 |
+
"grad_norm": 0.29296875,
|
| 85 |
+
"learning_rate": 0.0002,
|
| 86 |
+
"loss": 0.3039,
|
| 87 |
+
"step": 10
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.06952399762986372,
|
| 91 |
+
"grad_norm": 0.1845703125,
|
| 92 |
+
"learning_rate": 0.00019999770790755575,
|
| 93 |
+
"loss": 0.3096,
|
| 94 |
+
"step": 11
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.07584436105076042,
|
| 98 |
+
"grad_norm": 0.16796875,
|
| 99 |
+
"learning_rate": 0.00019999083173529673,
|
| 100 |
+
"loss": 0.2575,
|
| 101 |
+
"step": 12
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.08216472447165712,
|
| 105 |
+
"grad_norm": 0.1689453125,
|
| 106 |
+
"learning_rate": 0.00019997937179843937,
|
| 107 |
+
"loss": 0.289,
|
| 108 |
+
"step": 13
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.08848508789255383,
|
| 112 |
+
"grad_norm": 0.1572265625,
|
| 113 |
+
"learning_rate": 0.0001999633286223284,
|
| 114 |
+
"loss": 0.2878,
|
| 115 |
+
"step": 14
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.09480545131345053,
|
| 119 |
+
"grad_norm": 0.12353515625,
|
| 120 |
+
"learning_rate": 0.00019994270294241266,
|
| 121 |
+
"loss": 0.2274,
|
| 122 |
+
"step": 15
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.10112581473434723,
|
| 126 |
+
"grad_norm": 0.11572265625,
|
| 127 |
+
"learning_rate": 0.00019991749570421146,
|
| 128 |
+
"loss": 0.2252,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.10112581473434723,
|
| 133 |
+
"eval_loss": 0.25023654103279114,
|
| 134 |
+
"eval_runtime": 56.1603,
|
| 135 |
+
"eval_samples_per_second": 18.981,
|
| 136 |
+
"eval_steps_per_second": 18.981,
|
| 137 |
+
"step": 16
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.10744617815524393,
|
| 141 |
+
"grad_norm": 0.1298828125,
|
| 142 |
+
"learning_rate": 0.0001998877080632712,
|
| 143 |
+
"loss": 0.2512,
|
| 144 |
+
"step": 17
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.11376654157614063,
|
| 148 |
+
"grad_norm": 0.193359375,
|
| 149 |
+
"learning_rate": 0.00019985334138511237,
|
| 150 |
+
"loss": 0.2659,
|
| 151 |
+
"step": 18
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.12008690499703734,
|
| 155 |
+
"grad_norm": 0.142578125,
|
| 156 |
+
"learning_rate": 0.00019981439724516716,
|
| 157 |
+
"loss": 0.2415,
|
| 158 |
+
"step": 19
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.12640726841793404,
|
| 162 |
+
"grad_norm": 0.126953125,
|
| 163 |
+
"learning_rate": 0.0001997708774287068,
|
| 164 |
+
"loss": 0.2661,
|
| 165 |
+
"step": 20
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.13272763183883074,
|
| 169 |
+
"grad_norm": 0.1142578125,
|
| 170 |
+
"learning_rate": 0.00019972278393076023,
|
| 171 |
+
"loss": 0.2046,
|
| 172 |
+
"step": 21
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.13904799525972744,
|
| 176 |
+
"grad_norm": 0.11865234375,
|
| 177 |
+
"learning_rate": 0.0001996701189560223,
|
| 178 |
+
"loss": 0.2087,
|
| 179 |
+
"step": 22
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.14536835868062414,
|
| 183 |
+
"grad_norm": 0.1435546875,
|
| 184 |
+
"learning_rate": 0.00019961288491875278,
|
| 185 |
+
"loss": 0.2246,
|
| 186 |
+
"step": 23
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.15168872210152085,
|
| 190 |
+
"grad_norm": 0.119140625,
|
| 191 |
+
"learning_rate": 0.00019955108444266585,
|
| 192 |
+
"loss": 0.1831,
|
| 193 |
+
"step": 24
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.15800908552241755,
|
| 197 |
+
"grad_norm": 0.1376953125,
|
| 198 |
+
"learning_rate": 0.00019948472036080949,
|
| 199 |
+
"loss": 0.2398,
|
| 200 |
+
"step": 25
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.16432944894331425,
|
| 204 |
+
"grad_norm": 0.1201171875,
|
| 205 |
+
"learning_rate": 0.00019941379571543596,
|
| 206 |
+
"loss": 0.189,
|
| 207 |
+
"step": 26
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.17064981236421095,
|
| 211 |
+
"grad_norm": 0.12890625,
|
| 212 |
+
"learning_rate": 0.00019933831375786216,
|
| 213 |
+
"loss": 0.2156,
|
| 214 |
+
"step": 27
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 0.17697017578510765,
|
| 218 |
+
"grad_norm": 0.1259765625,
|
| 219 |
+
"learning_rate": 0.00019925827794832056,
|
| 220 |
+
"loss": 0.2012,
|
| 221 |
+
"step": 28
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.18329053920600435,
|
| 225 |
+
"grad_norm": 0.11572265625,
|
| 226 |
+
"learning_rate": 0.00019917369195580063,
|
| 227 |
+
"loss": 0.1602,
|
| 228 |
+
"step": 29
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.18961090262690106,
|
| 232 |
+
"grad_norm": 0.12890625,
|
| 233 |
+
"learning_rate": 0.00019908455965788067,
|
| 234 |
+
"loss": 0.1976,
|
| 235 |
+
"step": 30
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.19593126604779776,
|
| 239 |
+
"grad_norm": 0.11279296875,
|
| 240 |
+
"learning_rate": 0.00019899088514055004,
|
| 241 |
+
"loss": 0.1874,
|
| 242 |
+
"step": 31
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.20225162946869446,
|
| 246 |
+
"grad_norm": 0.1357421875,
|
| 247 |
+
"learning_rate": 0.00019889267269802176,
|
| 248 |
+
"loss": 0.2024,
|
| 249 |
+
"step": 32
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.20225162946869446,
|
| 253 |
+
"eval_loss": 0.2020280808210373,
|
| 254 |
+
"eval_runtime": 56.2737,
|
| 255 |
+
"eval_samples_per_second": 18.943,
|
| 256 |
+
"eval_steps_per_second": 18.943,
|
| 257 |
+
"step": 32
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.20857199288959116,
|
| 261 |
+
"grad_norm": 0.1123046875,
|
| 262 |
+
"learning_rate": 0.00019878992683253582,
|
| 263 |
+
"loss": 0.1819,
|
| 264 |
+
"step": 33
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.21489235631048786,
|
| 268 |
+
"grad_norm": 0.1123046875,
|
| 269 |
+
"learning_rate": 0.00019868265225415265,
|
| 270 |
+
"loss": 0.1794,
|
| 271 |
+
"step": 34
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.22121271973138457,
|
| 275 |
+
"grad_norm": 0.12060546875,
|
| 276 |
+
"learning_rate": 0.00019857085388053723,
|
| 277 |
+
"loss": 0.1943,
|
| 278 |
+
"step": 35
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.22753308315228127,
|
| 282 |
+
"grad_norm": 0.134765625,
|
| 283 |
+
"learning_rate": 0.00019845453683673368,
|
| 284 |
+
"loss": 0.2265,
|
| 285 |
+
"step": 36
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.23385344657317797,
|
| 289 |
+
"grad_norm": 0.115234375,
|
| 290 |
+
"learning_rate": 0.00019833370645493047,
|
| 291 |
+
"loss": 0.181,
|
| 292 |
+
"step": 37
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 0.24017380999407467,
|
| 296 |
+
"grad_norm": 0.12353515625,
|
| 297 |
+
"learning_rate": 0.0001982083682742156,
|
| 298 |
+
"loss": 0.1946,
|
| 299 |
+
"step": 38
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.24649417341497137,
|
| 303 |
+
"grad_norm": 0.107421875,
|
| 304 |
+
"learning_rate": 0.00019807852804032305,
|
| 305 |
+
"loss": 0.1418,
|
| 306 |
+
"step": 39
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.2528145368358681,
|
| 310 |
+
"grad_norm": 0.11572265625,
|
| 311 |
+
"learning_rate": 0.00019794419170536916,
|
| 312 |
+
"loss": 0.1651,
|
| 313 |
+
"step": 40
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 0.2591349002567648,
|
| 317 |
+
"grad_norm": 0.1337890625,
|
| 318 |
+
"learning_rate": 0.00019780536542758,
|
| 319 |
+
"loss": 0.1821,
|
| 320 |
+
"step": 41
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.2654552636776615,
|
| 324 |
+
"grad_norm": 0.12353515625,
|
| 325 |
+
"learning_rate": 0.00019766205557100868,
|
| 326 |
+
"loss": 0.1913,
|
| 327 |
+
"step": 42
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.2717756270985582,
|
| 331 |
+
"grad_norm": 0.12451171875,
|
| 332 |
+
"learning_rate": 0.00019751426870524407,
|
| 333 |
+
"loss": 0.194,
|
| 334 |
+
"step": 43
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 0.2780959905194549,
|
| 338 |
+
"grad_norm": 0.1162109375,
|
| 339 |
+
"learning_rate": 0.00019736201160510931,
|
| 340 |
+
"loss": 0.1832,
|
| 341 |
+
"step": 44
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.2844163539403516,
|
| 345 |
+
"grad_norm": 0.12353515625,
|
| 346 |
+
"learning_rate": 0.0001972052912503514,
|
| 347 |
+
"loss": 0.19,
|
| 348 |
+
"step": 45
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.2907367173612483,
|
| 352 |
+
"grad_norm": 0.11474609375,
|
| 353 |
+
"learning_rate": 0.00019704411482532116,
|
| 354 |
+
"loss": 0.1875,
|
| 355 |
+
"step": 46
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.297057080782145,
|
| 359 |
+
"grad_norm": 0.1123046875,
|
| 360 |
+
"learning_rate": 0.00019687848971864389,
|
| 361 |
+
"loss": 0.184,
|
| 362 |
+
"step": 47
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.3033774442030417,
|
| 366 |
+
"grad_norm": 0.107421875,
|
| 367 |
+
"learning_rate": 0.0001967084235228807,
|
| 368 |
+
"loss": 0.1581,
|
| 369 |
+
"step": 48
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.3033774442030417,
|
| 373 |
+
"eval_loss": 0.18037649989128113,
|
| 374 |
+
"eval_runtime": 56.5509,
|
| 375 |
+
"eval_samples_per_second": 18.85,
|
| 376 |
+
"eval_steps_per_second": 18.85,
|
| 377 |
+
"step": 48
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.3096978076239384,
|
| 381 |
+
"grad_norm": 0.10302734375,
|
| 382 |
+
"learning_rate": 0.00019653392403418043,
|
| 383 |
+
"loss": 0.1766,
|
| 384 |
+
"step": 49
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.3160181710448351,
|
| 388 |
+
"grad_norm": 0.11669921875,
|
| 389 |
+
"learning_rate": 0.0001963549992519223,
|
| 390 |
+
"loss": 0.1888,
|
| 391 |
+
"step": 50
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.3223385344657318,
|
| 395 |
+
"grad_norm": 0.10009765625,
|
| 396 |
+
"learning_rate": 0.00019617165737834916,
|
| 397 |
+
"loss": 0.139,
|
| 398 |
+
"step": 51
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.3286588978866285,
|
| 402 |
+
"grad_norm": 0.12451171875,
|
| 403 |
+
"learning_rate": 0.0001959839068181914,
|
| 404 |
+
"loss": 0.1845,
|
| 405 |
+
"step": 52
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.3349792613075252,
|
| 409 |
+
"grad_norm": 0.12060546875,
|
| 410 |
+
"learning_rate": 0.00019579175617828187,
|
| 411 |
+
"loss": 0.2043,
|
| 412 |
+
"step": 53
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 0.3412996247284219,
|
| 416 |
+
"grad_norm": 0.1142578125,
|
| 417 |
+
"learning_rate": 0.00019559521426716118,
|
| 418 |
+
"loss": 0.1678,
|
| 419 |
+
"step": 54
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.3476199881493186,
|
| 423 |
+
"grad_norm": 0.11669921875,
|
| 424 |
+
"learning_rate": 0.0001953942900946739,
|
| 425 |
+
"loss": 0.1671,
|
| 426 |
+
"step": 55
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.3539403515702153,
|
| 430 |
+
"grad_norm": 0.115234375,
|
| 431 |
+
"learning_rate": 0.00019518899287155556,
|
| 432 |
+
"loss": 0.1724,
|
| 433 |
+
"step": 56
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.360260714991112,
|
| 437 |
+
"grad_norm": 0.126953125,
|
| 438 |
+
"learning_rate": 0.0001949793320090105,
|
| 439 |
+
"loss": 0.177,
|
| 440 |
+
"step": 57
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.3665810784120087,
|
| 444 |
+
"grad_norm": 0.1259765625,
|
| 445 |
+
"learning_rate": 0.00019476531711828027,
|
| 446 |
+
"loss": 0.1644,
|
| 447 |
+
"step": 58
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.3729014418329054,
|
| 451 |
+
"grad_norm": 0.1142578125,
|
| 452 |
+
"learning_rate": 0.0001945469580102031,
|
| 453 |
+
"loss": 0.1564,
|
| 454 |
+
"step": 59
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 0.3792218052538021,
|
| 458 |
+
"grad_norm": 0.10302734375,
|
| 459 |
+
"learning_rate": 0.0001943242646947643,
|
| 460 |
+
"loss": 0.1353,
|
| 461 |
+
"step": 60
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.3855421686746988,
|
| 465 |
+
"grad_norm": 0.10791015625,
|
| 466 |
+
"learning_rate": 0.00019409724738063714,
|
| 467 |
+
"loss": 0.1622,
|
| 468 |
+
"step": 61
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.3918625320955955,
|
| 472 |
+
"grad_norm": 0.10791015625,
|
| 473 |
+
"learning_rate": 0.00019386591647471506,
|
| 474 |
+
"loss": 0.1564,
|
| 475 |
+
"step": 62
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.3981828955164922,
|
| 479 |
+
"grad_norm": 0.11376953125,
|
| 480 |
+
"learning_rate": 0.00019363028258163447,
|
| 481 |
+
"loss": 0.176,
|
| 482 |
+
"step": 63
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.4045032589373889,
|
| 486 |
+
"grad_norm": 0.1162109375,
|
| 487 |
+
"learning_rate": 0.00019339035650328869,
|
| 488 |
+
"loss": 0.1912,
|
| 489 |
+
"step": 64
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.4045032589373889,
|
| 493 |
+
"eval_loss": 0.1681559830904007,
|
| 494 |
+
"eval_runtime": 56.4912,
|
| 495 |
+
"eval_samples_per_second": 18.87,
|
| 496 |
+
"eval_steps_per_second": 18.87,
|
| 497 |
+
"step": 64
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.4108236223582856,
|
| 501 |
+
"grad_norm": 0.11572265625,
|
| 502 |
+
"learning_rate": 0.0001931461492383327,
|
| 503 |
+
"loss": 0.1959,
|
| 504 |
+
"step": 65
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.4171439857791823,
|
| 508 |
+
"grad_norm": 0.0966796875,
|
| 509 |
+
"learning_rate": 0.00019289767198167916,
|
| 510 |
+
"loss": 0.1379,
|
| 511 |
+
"step": 66
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.423464349200079,
|
| 515 |
+
"grad_norm": 0.1142578125,
|
| 516 |
+
"learning_rate": 0.00019264493612398481,
|
| 517 |
+
"loss": 0.1669,
|
| 518 |
+
"step": 67
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.42978471262097573,
|
| 522 |
+
"grad_norm": 0.09619140625,
|
| 523 |
+
"learning_rate": 0.0001923879532511287,
|
| 524 |
+
"loss": 0.1279,
|
| 525 |
+
"step": 68
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.43610507604187243,
|
| 529 |
+
"grad_norm": 0.10986328125,
|
| 530 |
+
"learning_rate": 0.0001921267351436808,
|
| 531 |
+
"loss": 0.1535,
|
| 532 |
+
"step": 69
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.44242543946276913,
|
| 536 |
+
"grad_norm": 0.11962890625,
|
| 537 |
+
"learning_rate": 0.0001918612937763622,
|
| 538 |
+
"loss": 0.1697,
|
| 539 |
+
"step": 70
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.44874580288366583,
|
| 543 |
+
"grad_norm": 0.107421875,
|
| 544 |
+
"learning_rate": 0.00019159164131749587,
|
| 545 |
+
"loss": 0.166,
|
| 546 |
+
"step": 71
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.45506616630456254,
|
| 550 |
+
"grad_norm": 0.10986328125,
|
| 551 |
+
"learning_rate": 0.00019131779012844912,
|
| 552 |
+
"loss": 0.1508,
|
| 553 |
+
"step": 72
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 0.46138652972545924,
|
| 557 |
+
"grad_norm": 0.1201171875,
|
| 558 |
+
"learning_rate": 0.00019103975276306678,
|
| 559 |
+
"loss": 0.1617,
|
| 560 |
+
"step": 73
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.46770689314635594,
|
| 564 |
+
"grad_norm": 0.1103515625,
|
| 565 |
+
"learning_rate": 0.00019075754196709572,
|
| 566 |
+
"loss": 0.1436,
|
| 567 |
+
"step": 74
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.47402725656725264,
|
| 571 |
+
"grad_norm": 0.1025390625,
|
| 572 |
+
"learning_rate": 0.0001904711706776006,
|
| 573 |
+
"loss": 0.1408,
|
| 574 |
+
"step": 75
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 0.48034761998814934,
|
| 578 |
+
"grad_norm": 0.1171875,
|
| 579 |
+
"learning_rate": 0.00019018065202237083,
|
| 580 |
+
"loss": 0.1594,
|
| 581 |
+
"step": 76
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.48666798340904605,
|
| 585 |
+
"grad_norm": 0.10546875,
|
| 586 |
+
"learning_rate": 0.00018988599931931866,
|
| 587 |
+
"loss": 0.1394,
|
| 588 |
+
"step": 77
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 0.49298834682994275,
|
| 592 |
+
"grad_norm": 0.111328125,
|
| 593 |
+
"learning_rate": 0.0001895872260758688,
|
| 594 |
+
"loss": 0.1448,
|
| 595 |
+
"step": 78
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 0.49930871025083945,
|
| 599 |
+
"grad_norm": 0.111328125,
|
| 600 |
+
"learning_rate": 0.00018928434598833912,
|
| 601 |
+
"loss": 0.156,
|
| 602 |
+
"step": 79
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 0.5056290736717362,
|
| 606 |
+
"grad_norm": 0.125,
|
| 607 |
+
"learning_rate": 0.00018897737294131284,
|
| 608 |
+
"loss": 0.1692,
|
| 609 |
+
"step": 80
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.5056290736717362,
|
| 613 |
+
"eval_loss": 0.15801414847373962,
|
| 614 |
+
"eval_runtime": 57.0109,
|
| 615 |
+
"eval_samples_per_second": 18.698,
|
| 616 |
+
"eval_steps_per_second": 18.698,
|
| 617 |
+
"step": 80
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.5119494370926329,
|
| 621 |
+
"grad_norm": 0.10400390625,
|
| 622 |
+
"learning_rate": 0.00018866632100700197,
|
| 623 |
+
"loss": 0.1318,
|
| 624 |
+
"step": 81
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 0.5182698005135296,
|
| 628 |
+
"grad_norm": 0.1357421875,
|
| 629 |
+
"learning_rate": 0.0001883512044446023,
|
| 630 |
+
"loss": 0.203,
|
| 631 |
+
"step": 82
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.5245901639344263,
|
| 635 |
+
"grad_norm": 0.126953125,
|
| 636 |
+
"learning_rate": 0.00018803203769963967,
|
| 637 |
+
"loss": 0.1968,
|
| 638 |
+
"step": 83
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 0.530910527355323,
|
| 642 |
+
"grad_norm": 0.1025390625,
|
| 643 |
+
"learning_rate": 0.0001877088354033077,
|
| 644 |
+
"loss": 0.139,
|
| 645 |
+
"step": 84
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 0.5372308907762197,
|
| 649 |
+
"grad_norm": 0.1044921875,
|
| 650 |
+
"learning_rate": 0.0001873816123717973,
|
| 651 |
+
"loss": 0.1301,
|
| 652 |
+
"step": 85
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"epoch": 0.5435512541971164,
|
| 656 |
+
"grad_norm": 0.107421875,
|
| 657 |
+
"learning_rate": 0.0001870503836056172,
|
| 658 |
+
"loss": 0.1253,
|
| 659 |
+
"step": 86
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 0.5498716176180131,
|
| 663 |
+
"grad_norm": 0.11474609375,
|
| 664 |
+
"learning_rate": 0.00018671516428890648,
|
| 665 |
+
"loss": 0.1575,
|
| 666 |
+
"step": 87
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 0.5561919810389098,
|
| 670 |
+
"grad_norm": 0.12353515625,
|
| 671 |
+
"learning_rate": 0.00018637596978873835,
|
| 672 |
+
"loss": 0.1627,
|
| 673 |
+
"step": 88
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 0.5625123444598065,
|
| 677 |
+
"grad_norm": 0.1279296875,
|
| 678 |
+
"learning_rate": 0.00018603281565441585,
|
| 679 |
+
"loss": 0.1762,
|
| 680 |
+
"step": 89
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 0.5688327078807032,
|
| 684 |
+
"grad_norm": 0.1259765625,
|
| 685 |
+
"learning_rate": 0.00018568571761675893,
|
| 686 |
+
"loss": 0.1537,
|
| 687 |
+
"step": 90
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 0.5751530713015999,
|
| 691 |
+
"grad_norm": 0.1259765625,
|
| 692 |
+
"learning_rate": 0.00018533469158738344,
|
| 693 |
+
"loss": 0.1752,
|
| 694 |
+
"step": 91
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.5814734347224966,
|
| 698 |
+
"grad_norm": 0.11865234375,
|
| 699 |
+
"learning_rate": 0.0001849797536579715,
|
| 700 |
+
"loss": 0.1441,
|
| 701 |
+
"step": 92
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.5877937981433933,
|
| 705 |
+
"grad_norm": 0.1083984375,
|
| 706 |
+
"learning_rate": 0.00018462092009953408,
|
| 707 |
+
"loss": 0.1471,
|
| 708 |
+
"step": 93
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.59411416156429,
|
| 712 |
+
"grad_norm": 0.1201171875,
|
| 713 |
+
"learning_rate": 0.0001842582073616649,
|
| 714 |
+
"loss": 0.1584,
|
| 715 |
+
"step": 94
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.6004345249851867,
|
| 719 |
+
"grad_norm": 0.1005859375,
|
| 720 |
+
"learning_rate": 0.00018389163207178656,
|
| 721 |
+
"loss": 0.1255,
|
| 722 |
+
"step": 95
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.6067548884060834,
|
| 726 |
+
"grad_norm": 0.10595703125,
|
| 727 |
+
"learning_rate": 0.000183521211034388,
|
| 728 |
+
"loss": 0.1401,
|
| 729 |
+
"step": 96
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.6067548884060834,
|
| 733 |
+
"eval_loss": 0.1516103893518448,
|
| 734 |
+
"eval_runtime": 57.9856,
|
| 735 |
+
"eval_samples_per_second": 18.384,
|
| 736 |
+
"eval_steps_per_second": 18.384,
|
| 737 |
+
"step": 96
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.6130752518269801,
|
| 741 |
+
"grad_norm": 0.0966796875,
|
| 742 |
+
"learning_rate": 0.00018314696123025454,
|
| 743 |
+
"loss": 0.1359,
|
| 744 |
+
"step": 97
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.6193956152478768,
|
| 748 |
+
"grad_norm": 0.107421875,
|
| 749 |
+
"learning_rate": 0.00018276889981568906,
|
| 750 |
+
"loss": 0.1354,
|
| 751 |
+
"step": 98
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.6257159786687735,
|
| 755 |
+
"grad_norm": 0.10986328125,
|
| 756 |
+
"learning_rate": 0.00018238704412172586,
|
| 757 |
+
"loss": 0.1315,
|
| 758 |
+
"step": 99
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.6320363420896702,
|
| 762 |
+
"grad_norm": 0.1083984375,
|
| 763 |
+
"learning_rate": 0.0001820014116533359,
|
| 764 |
+
"loss": 0.1522,
|
| 765 |
+
"step": 100
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.6383567055105669,
|
| 769 |
+
"grad_norm": 0.11767578125,
|
| 770 |
+
"learning_rate": 0.00018161202008862458,
|
| 771 |
+
"loss": 0.1754,
|
| 772 |
+
"step": 101
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.6446770689314636,
|
| 776 |
+
"grad_norm": 0.1025390625,
|
| 777 |
+
"learning_rate": 0.00018121888727802113,
|
| 778 |
+
"loss": 0.1368,
|
| 779 |
+
"step": 102
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.6509974323523603,
|
| 783 |
+
"grad_norm": 0.09814453125,
|
| 784 |
+
"learning_rate": 0.00018082203124346045,
|
| 785 |
+
"loss": 0.14,
|
| 786 |
+
"step": 103
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.657317795773257,
|
| 790 |
+
"grad_norm": 0.115234375,
|
| 791 |
+
"learning_rate": 0.0001804214701775569,
|
| 792 |
+
"loss": 0.157,
|
| 793 |
+
"step": 104
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.6636381591941537,
|
| 797 |
+
"grad_norm": 0.11376953125,
|
| 798 |
+
"learning_rate": 0.00018001722244277035,
|
| 799 |
+
"loss": 0.1575,
|
| 800 |
+
"step": 105
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.6699585226150504,
|
| 804 |
+
"grad_norm": 0.09765625,
|
| 805 |
+
"learning_rate": 0.00017960930657056438,
|
| 806 |
+
"loss": 0.1229,
|
| 807 |
+
"step": 106
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.6762788860359471,
|
| 811 |
+
"grad_norm": 0.099609375,
|
| 812 |
+
"learning_rate": 0.00017919774126055673,
|
| 813 |
+
"loss": 0.1294,
|
| 814 |
+
"step": 107
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.6825992494568438,
|
| 818 |
+
"grad_norm": 0.09716796875,
|
| 819 |
+
"learning_rate": 0.00017878254537966216,
|
| 820 |
+
"loss": 0.1381,
|
| 821 |
+
"step": 108
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.6889196128777405,
|
| 825 |
+
"grad_norm": 0.11083984375,
|
| 826 |
+
"learning_rate": 0.0001783637379612275,
|
| 827 |
+
"loss": 0.1494,
|
| 828 |
+
"step": 109
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.6952399762986372,
|
| 832 |
+
"grad_norm": 0.107421875,
|
| 833 |
+
"learning_rate": 0.00017794133820415916,
|
| 834 |
+
"loss": 0.1527,
|
| 835 |
+
"step": 110
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.7015603397195339,
|
| 839 |
+
"grad_norm": 0.111328125,
|
| 840 |
+
"learning_rate": 0.00017751536547204295,
|
| 841 |
+
"loss": 0.1335,
|
| 842 |
+
"step": 111
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.7078807031404306,
|
| 846 |
+
"grad_norm": 0.10400390625,
|
| 847 |
+
"learning_rate": 0.0001770858392922565,
|
| 848 |
+
"loss": 0.1204,
|
| 849 |
+
"step": 112
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.7078807031404306,
|
| 853 |
+
"eval_loss": 0.14627417922019958,
|
| 854 |
+
"eval_runtime": 56.8973,
|
| 855 |
+
"eval_samples_per_second": 18.736,
|
| 856 |
+
"eval_steps_per_second": 18.736,
|
| 857 |
+
"step": 112
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.7142010665613273,
|
| 861 |
+
"grad_norm": 0.09814453125,
|
| 862 |
+
"learning_rate": 0.00017665277935507398,
|
| 863 |
+
"loss": 0.122,
|
| 864 |
+
"step": 113
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.720521429982224,
|
| 868 |
+
"grad_norm": 0.0966796875,
|
| 869 |
+
"learning_rate": 0.00017621620551276366,
|
| 870 |
+
"loss": 0.134,
|
| 871 |
+
"step": 114
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.7268417934031207,
|
| 875 |
+
"grad_norm": 0.09765625,
|
| 876 |
+
"learning_rate": 0.00017577613777867762,
|
| 877 |
+
"loss": 0.1185,
|
| 878 |
+
"step": 115
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.7331621568240174,
|
| 882 |
+
"grad_norm": 0.1064453125,
|
| 883 |
+
"learning_rate": 0.00017533259632633442,
|
| 884 |
+
"loss": 0.1337,
|
| 885 |
+
"step": 116
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.7394825202449141,
|
| 889 |
+
"grad_norm": 0.130859375,
|
| 890 |
+
"learning_rate": 0.00017488560148849427,
|
| 891 |
+
"loss": 0.1503,
|
| 892 |
+
"step": 117
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.7458028836658108,
|
| 896 |
+
"grad_norm": 0.10791015625,
|
| 897 |
+
"learning_rate": 0.00017443517375622704,
|
| 898 |
+
"loss": 0.1594,
|
| 899 |
+
"step": 118
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.7521232470867075,
|
| 903 |
+
"grad_norm": 0.1181640625,
|
| 904 |
+
"learning_rate": 0.0001739813337779727,
|
| 905 |
+
"loss": 0.1397,
|
| 906 |
+
"step": 119
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.7584436105076042,
|
| 910 |
+
"grad_norm": 0.10302734375,
|
| 911 |
+
"learning_rate": 0.00017352410235859503,
|
| 912 |
+
"loss": 0.1314,
|
| 913 |
+
"step": 120
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.7647639739285009,
|
| 917 |
+
"grad_norm": 0.115234375,
|
| 918 |
+
"learning_rate": 0.0001730635004584276,
|
| 919 |
+
"loss": 0.1466,
|
| 920 |
+
"step": 121
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.7710843373493976,
|
| 924 |
+
"grad_norm": 0.0986328125,
|
| 925 |
+
"learning_rate": 0.0001725995491923131,
|
| 926 |
+
"loss": 0.1147,
|
| 927 |
+
"step": 122
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.7774047007702943,
|
| 931 |
+
"grad_norm": 0.134765625,
|
| 932 |
+
"learning_rate": 0.0001721322698286354,
|
| 933 |
+
"loss": 0.1637,
|
| 934 |
+
"step": 123
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.783725064191191,
|
| 938 |
+
"grad_norm": 0.11279296875,
|
| 939 |
+
"learning_rate": 0.00017166168378834448,
|
| 940 |
+
"loss": 0.138,
|
| 941 |
+
"step": 124
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.7900454276120877,
|
| 945 |
+
"grad_norm": 0.11767578125,
|
| 946 |
+
"learning_rate": 0.00017118781264397446,
|
| 947 |
+
"loss": 0.1511,
|
| 948 |
+
"step": 125
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.7963657910329844,
|
| 952 |
+
"grad_norm": 0.115234375,
|
| 953 |
+
"learning_rate": 0.00017071067811865476,
|
| 954 |
+
"loss": 0.1407,
|
| 955 |
+
"step": 126
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.8026861544538811,
|
| 959 |
+
"grad_norm": 0.1064453125,
|
| 960 |
+
"learning_rate": 0.0001702303020851142,
|
| 961 |
+
"loss": 0.1342,
|
| 962 |
+
"step": 127
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.8090065178747778,
|
| 966 |
+
"grad_norm": 0.11865234375,
|
| 967 |
+
"learning_rate": 0.00016974670656467824,
|
| 968 |
+
"loss": 0.1336,
|
| 969 |
+
"step": 128
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.8090065178747778,
|
| 973 |
+
"eval_loss": 0.14203742146492004,
|
| 974 |
+
"eval_runtime": 58.4188,
|
| 975 |
+
"eval_samples_per_second": 18.248,
|
| 976 |
+
"eval_steps_per_second": 18.248,
|
| 977 |
+
"step": 128
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.8153268812956745,
|
| 981 |
+
"grad_norm": 0.1083984375,
|
| 982 |
+
"learning_rate": 0.0001692599137262597,
|
| 983 |
+
"loss": 0.1543,
|
| 984 |
+
"step": 129
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.8216472447165712,
|
| 988 |
+
"grad_norm": 0.0888671875,
|
| 989 |
+
"learning_rate": 0.00016876994588534234,
|
| 990 |
+
"loss": 0.1116,
|
| 991 |
+
"step": 130
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.827967608137468,
|
| 995 |
+
"grad_norm": 0.1044921875,
|
| 996 |
+
"learning_rate": 0.00016827682550295785,
|
| 997 |
+
"loss": 0.1267,
|
| 998 |
+
"step": 131
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.8342879715583646,
|
| 1002 |
+
"grad_norm": 0.10400390625,
|
| 1003 |
+
"learning_rate": 0.0001677805751846563,
|
| 1004 |
+
"loss": 0.1361,
|
| 1005 |
+
"step": 132
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.8406083349792614,
|
| 1009 |
+
"grad_norm": 0.11376953125,
|
| 1010 |
+
"learning_rate": 0.00016728121767946977,
|
| 1011 |
+
"loss": 0.1372,
|
| 1012 |
+
"step": 133
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.846928698400158,
|
| 1016 |
+
"grad_norm": 0.10498046875,
|
| 1017 |
+
"learning_rate": 0.00016677877587886956,
|
| 1018 |
+
"loss": 0.1258,
|
| 1019 |
+
"step": 134
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.8532490618210548,
|
| 1023 |
+
"grad_norm": 0.11669921875,
|
| 1024 |
+
"learning_rate": 0.00016627327281571678,
|
| 1025 |
+
"loss": 0.1427,
|
| 1026 |
+
"step": 135
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.8595694252419515,
|
| 1030 |
+
"grad_norm": 0.1328125,
|
| 1031 |
+
"learning_rate": 0.00016576473166320644,
|
| 1032 |
+
"loss": 0.187,
|
| 1033 |
+
"step": 136
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.8658897886628482,
|
| 1037 |
+
"grad_norm": 0.1044921875,
|
| 1038 |
+
"learning_rate": 0.00016525317573380525,
|
| 1039 |
+
"loss": 0.1417,
|
| 1040 |
+
"step": 137
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.8722101520837449,
|
| 1044 |
+
"grad_norm": 0.10107421875,
|
| 1045 |
+
"learning_rate": 0.00016473862847818277,
|
| 1046 |
+
"loss": 0.1399,
|
| 1047 |
+
"step": 138
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.8785305155046416,
|
| 1051 |
+
"grad_norm": 0.1025390625,
|
| 1052 |
+
"learning_rate": 0.00016422111348413657,
|
| 1053 |
+
"loss": 0.141,
|
| 1054 |
+
"step": 139
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.8848508789255383,
|
| 1058 |
+
"grad_norm": 0.1005859375,
|
| 1059 |
+
"learning_rate": 0.00016370065447551078,
|
| 1060 |
+
"loss": 0.1236,
|
| 1061 |
+
"step": 140
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.891171242346435,
|
| 1065 |
+
"grad_norm": 0.10205078125,
|
| 1066 |
+
"learning_rate": 0.0001631772753111086,
|
| 1067 |
+
"loss": 0.1236,
|
| 1068 |
+
"step": 141
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.8974916057673317,
|
| 1072 |
+
"grad_norm": 0.10302734375,
|
| 1073 |
+
"learning_rate": 0.00016265099998359866,
|
| 1074 |
+
"loss": 0.128,
|
| 1075 |
+
"step": 142
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.9038119691882284,
|
| 1079 |
+
"grad_norm": 0.09814453125,
|
| 1080 |
+
"learning_rate": 0.00016212185261841499,
|
| 1081 |
+
"loss": 0.1227,
|
| 1082 |
+
"step": 143
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.9101323326091251,
|
| 1086 |
+
"grad_norm": 0.1064453125,
|
| 1087 |
+
"learning_rate": 0.00016158985747265108,
|
| 1088 |
+
"loss": 0.1339,
|
| 1089 |
+
"step": 144
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.9101323326091251,
|
| 1093 |
+
"eval_loss": 0.1379576325416565,
|
| 1094 |
+
"eval_runtime": 61.2763,
|
| 1095 |
+
"eval_samples_per_second": 17.397,
|
| 1096 |
+
"eval_steps_per_second": 17.397,
|
| 1097 |
+
"step": 144
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.9164526960300218,
|
| 1101 |
+
"grad_norm": 0.10009765625,
|
| 1102 |
+
"learning_rate": 0.00016105503893394806,
|
| 1103 |
+
"loss": 0.1255,
|
| 1104 |
+
"step": 145
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.9227730594509185,
|
| 1108 |
+
"grad_norm": 0.103515625,
|
| 1109 |
+
"learning_rate": 0.00016051742151937655,
|
| 1110 |
+
"loss": 0.1237,
|
| 1111 |
+
"step": 146
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.9290934228718152,
|
| 1115 |
+
"grad_norm": 0.10009765625,
|
| 1116 |
+
"learning_rate": 0.0001599770298743128,
|
| 1117 |
+
"loss": 0.1212,
|
| 1118 |
+
"step": 147
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.9354137862927119,
|
| 1122 |
+
"grad_norm": 0.1123046875,
|
| 1123 |
+
"learning_rate": 0.000159433888771309,
|
| 1124 |
+
"loss": 0.1402,
|
| 1125 |
+
"step": 148
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.9417341497136086,
|
| 1129 |
+
"grad_norm": 0.11865234375,
|
| 1130 |
+
"learning_rate": 0.00015888802310895742,
|
| 1131 |
+
"loss": 0.1475,
|
| 1132 |
+
"step": 149
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.9480545131345053,
|
| 1136 |
+
"grad_norm": 0.1064453125,
|
| 1137 |
+
"learning_rate": 0.00015833945791074943,
|
| 1138 |
+
"loss": 0.1133,
|
| 1139 |
+
"step": 150
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.954374876555402,
|
| 1143 |
+
"grad_norm": 0.10986328125,
|
| 1144 |
+
"learning_rate": 0.00015778821832392777,
|
| 1145 |
+
"loss": 0.1336,
|
| 1146 |
+
"step": 151
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.9606952399762987,
|
| 1150 |
+
"grad_norm": 0.1162109375,
|
| 1151 |
+
"learning_rate": 0.0001572343296183344,
|
| 1152 |
+
"loss": 0.1479,
|
| 1153 |
+
"step": 152
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.9670156033971954,
|
| 1157 |
+
"grad_norm": 0.10546875,
|
| 1158 |
+
"learning_rate": 0.00015667781718525157,
|
| 1159 |
+
"loss": 0.1291,
|
| 1160 |
+
"step": 153
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.9733359668180921,
|
| 1164 |
+
"grad_norm": 0.11181640625,
|
| 1165 |
+
"learning_rate": 0.00015611870653623825,
|
| 1166 |
+
"loss": 0.1337,
|
| 1167 |
+
"step": 154
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.9796563302389888,
|
| 1171 |
+
"grad_norm": 0.09228515625,
|
| 1172 |
+
"learning_rate": 0.00015555702330196023,
|
| 1173 |
+
"loss": 0.1024,
|
| 1174 |
+
"step": 155
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.9859766936598855,
|
| 1178 |
+
"grad_norm": 0.10791015625,
|
| 1179 |
+
"learning_rate": 0.0001549927932310155,
|
| 1180 |
+
"loss": 0.1565,
|
| 1181 |
+
"step": 156
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.9922970570807822,
|
| 1185 |
+
"grad_norm": 0.10595703125,
|
| 1186 |
+
"learning_rate": 0.0001544260421887537,
|
| 1187 |
+
"loss": 0.1328,
|
| 1188 |
+
"step": 157
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.9986174205016789,
|
| 1192 |
+
"grad_norm": 0.1142578125,
|
| 1193 |
+
"learning_rate": 0.00015385679615609042,
|
| 1194 |
+
"loss": 0.164,
|
| 1195 |
+
"step": 158
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 1.0049377839225755,
|
| 1199 |
+
"grad_norm": 0.09814453125,
|
| 1200 |
+
"learning_rate": 0.00015328508122831636,
|
| 1201 |
+
"loss": 0.1184,
|
| 1202 |
+
"step": 159
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 1.0112581473434723,
|
| 1206 |
+
"grad_norm": 0.08935546875,
|
| 1207 |
+
"learning_rate": 0.00015271092361390077,
|
| 1208 |
+
"loss": 0.101,
|
| 1209 |
+
"step": 160
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 1.0112581473434723,
|
| 1213 |
+
"eval_loss": 0.13463501632213593,
|
| 1214 |
+
"eval_runtime": 57.8932,
|
| 1215 |
+
"eval_samples_per_second": 18.413,
|
| 1216 |
+
"eval_steps_per_second": 18.413,
|
| 1217 |
+
"step": 160
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 1.017578510764369,
|
| 1221 |
+
"grad_norm": 0.1005859375,
|
| 1222 |
+
"learning_rate": 0.0001521343496332903,
|
| 1223 |
+
"loss": 0.118,
|
| 1224 |
+
"step": 161
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 1.0238988741852657,
|
| 1228 |
+
"grad_norm": 0.087890625,
|
| 1229 |
+
"learning_rate": 0.00015155538571770218,
|
| 1230 |
+
"loss": 0.0956,
|
| 1231 |
+
"step": 162
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 1.0302192376061623,
|
| 1235 |
+
"grad_norm": 0.09912109375,
|
| 1236 |
+
"learning_rate": 0.00015097405840791276,
|
| 1237 |
+
"loss": 0.1089,
|
| 1238 |
+
"step": 163
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 1.036539601027059,
|
| 1242 |
+
"grad_norm": 0.0927734375,
|
| 1243 |
+
"learning_rate": 0.00015039039435304078,
|
| 1244 |
+
"loss": 0.093,
|
| 1245 |
+
"step": 164
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 1.0428599644479557,
|
| 1249 |
+
"grad_norm": 0.126953125,
|
| 1250 |
+
"learning_rate": 0.00014980442030932558,
|
| 1251 |
+
"loss": 0.1443,
|
| 1252 |
+
"step": 165
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 1.0491803278688525,
|
| 1256 |
+
"grad_norm": 0.10009765625,
|
| 1257 |
+
"learning_rate": 0.00014921616313890072,
|
| 1258 |
+
"loss": 0.1039,
|
| 1259 |
+
"step": 166
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 1.055500691289749,
|
| 1263 |
+
"grad_norm": 0.09619140625,
|
| 1264 |
+
"learning_rate": 0.00014862564980856258,
|
| 1265 |
+
"loss": 0.0798,
|
| 1266 |
+
"step": 167
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 1.061821054710646,
|
| 1270 |
+
"grad_norm": 0.12060546875,
|
| 1271 |
+
"learning_rate": 0.00014803290738853395,
|
| 1272 |
+
"loss": 0.1199,
|
| 1273 |
+
"step": 168
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 1.0681414181315425,
|
| 1277 |
+
"grad_norm": 0.11572265625,
|
| 1278 |
+
"learning_rate": 0.00014743796305122331,
|
| 1279 |
+
"loss": 0.1028,
|
| 1280 |
+
"step": 169
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 1.0744617815524393,
|
| 1284 |
+
"grad_norm": 0.10498046875,
|
| 1285 |
+
"learning_rate": 0.00014684084406997903,
|
| 1286 |
+
"loss": 0.097,
|
| 1287 |
+
"step": 170
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 1.080782144973336,
|
| 1291 |
+
"grad_norm": 0.10302734375,
|
| 1292 |
+
"learning_rate": 0.00014624157781783926,
|
| 1293 |
+
"loss": 0.0943,
|
| 1294 |
+
"step": 171
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 1.0871025083942327,
|
| 1298 |
+
"grad_norm": 0.1123046875,
|
| 1299 |
+
"learning_rate": 0.0001456401917662769,
|
| 1300 |
+
"loss": 0.0981,
|
| 1301 |
+
"step": 172
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 1.0934228718151293,
|
| 1305 |
+
"grad_norm": 0.10595703125,
|
| 1306 |
+
"learning_rate": 0.00014503671348394057,
|
| 1307 |
+
"loss": 0.1008,
|
| 1308 |
+
"step": 173
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 1.0997432352360261,
|
| 1312 |
+
"grad_norm": 0.12060546875,
|
| 1313 |
+
"learning_rate": 0.00014443117063539038,
|
| 1314 |
+
"loss": 0.1239,
|
| 1315 |
+
"step": 174
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 1.1060635986569227,
|
| 1319 |
+
"grad_norm": 0.11474609375,
|
| 1320 |
+
"learning_rate": 0.00014382359097983013,
|
| 1321 |
+
"loss": 0.1035,
|
| 1322 |
+
"step": 175
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 1.1123839620778195,
|
| 1326 |
+
"grad_norm": 0.0966796875,
|
| 1327 |
+
"learning_rate": 0.00014321400236983457,
|
| 1328 |
+
"loss": 0.0871,
|
| 1329 |
+
"step": 176
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 1.1123839620778195,
|
| 1333 |
+
"eval_loss": 0.13297832012176514,
|
| 1334 |
+
"eval_runtime": 57.7156,
|
| 1335 |
+
"eval_samples_per_second": 18.47,
|
| 1336 |
+
"eval_steps_per_second": 18.47,
|
| 1337 |
+
"step": 176
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 1.1187043254987161,
|
| 1341 |
+
"grad_norm": 0.10693359375,
|
| 1342 |
+
"learning_rate": 0.00014260243275007265,
|
| 1343 |
+
"loss": 0.1073,
|
| 1344 |
+
"step": 177
|
| 1345 |
+
},
|
| 1346 |
+
{
|
| 1347 |
+
"epoch": 1.125024688919613,
|
| 1348 |
+
"grad_norm": 0.1083984375,
|
| 1349 |
+
"learning_rate": 0.00014198891015602646,
|
| 1350 |
+
"loss": 0.1054,
|
| 1351 |
+
"step": 178
|
| 1352 |
+
},
|
| 1353 |
+
{
|
| 1354 |
+
"epoch": 1.1313450523405095,
|
| 1355 |
+
"grad_norm": 0.0947265625,
|
| 1356 |
+
"learning_rate": 0.00014137346271270604,
|
| 1357 |
+
"loss": 0.0977,
|
| 1358 |
+
"step": 179
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 1.1376654157614063,
|
| 1362 |
+
"grad_norm": 0.08837890625,
|
| 1363 |
+
"learning_rate": 0.0001407561186333601,
|
| 1364 |
+
"loss": 0.0839,
|
| 1365 |
+
"step": 180
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 1.143985779182303,
|
| 1369 |
+
"grad_norm": 0.11181640625,
|
| 1370 |
+
"learning_rate": 0.00014013690621818262,
|
| 1371 |
+
"loss": 0.1173,
|
| 1372 |
+
"step": 181
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 1.1503061426031997,
|
| 1376 |
+
"grad_norm": 0.10302734375,
|
| 1377 |
+
"learning_rate": 0.00013951585385301555,
|
| 1378 |
+
"loss": 0.113,
|
| 1379 |
+
"step": 182
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 1.1566265060240963,
|
| 1383 |
+
"grad_norm": 0.10498046875,
|
| 1384 |
+
"learning_rate": 0.0001388929900080476,
|
| 1385 |
+
"loss": 0.0938,
|
| 1386 |
+
"step": 183
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 1.1629468694449931,
|
| 1390 |
+
"grad_norm": 0.10205078125,
|
| 1391 |
+
"learning_rate": 0.000138268343236509,
|
| 1392 |
+
"loss": 0.0953,
|
| 1393 |
+
"step": 184
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 1.1692672328658897,
|
| 1397 |
+
"grad_norm": 0.099609375,
|
| 1398 |
+
"learning_rate": 0.00013764194217336264,
|
| 1399 |
+
"loss": 0.0954,
|
| 1400 |
+
"step": 185
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 1.1755875962867866,
|
| 1404 |
+
"grad_norm": 0.10400390625,
|
| 1405 |
+
"learning_rate": 0.00013701381553399145,
|
| 1406 |
+
"loss": 0.0971,
|
| 1407 |
+
"step": 186
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 1.1819079597076831,
|
| 1411 |
+
"grad_norm": 0.107421875,
|
| 1412 |
+
"learning_rate": 0.00013638399211288188,
|
| 1413 |
+
"loss": 0.0995,
|
| 1414 |
+
"step": 187
|
| 1415 |
+
},
|
| 1416 |
+
{
|
| 1417 |
+
"epoch": 1.18822832312858,
|
| 1418 |
+
"grad_norm": 0.11328125,
|
| 1419 |
+
"learning_rate": 0.000135752500782304,
|
| 1420 |
+
"loss": 0.1199,
|
| 1421 |
+
"step": 188
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 1.1945486865494765,
|
| 1425 |
+
"grad_norm": 0.10498046875,
|
| 1426 |
+
"learning_rate": 0.00013511937049098805,
|
| 1427 |
+
"loss": 0.0885,
|
| 1428 |
+
"step": 189
|
| 1429 |
+
},
|
| 1430 |
+
{
|
| 1431 |
+
"epoch": 1.2008690499703734,
|
| 1432 |
+
"grad_norm": 0.1005859375,
|
| 1433 |
+
"learning_rate": 0.00013448463026279704,
|
| 1434 |
+
"loss": 0.0957,
|
| 1435 |
+
"step": 190
|
| 1436 |
+
},
|
| 1437 |
+
{
|
| 1438 |
+
"epoch": 1.20718941339127,
|
| 1439 |
+
"grad_norm": 0.08740234375,
|
| 1440 |
+
"learning_rate": 0.0001338483091953967,
|
| 1441 |
+
"loss": 0.0753,
|
| 1442 |
+
"step": 191
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 1.2135097768121668,
|
| 1446 |
+
"grad_norm": 0.12353515625,
|
| 1447 |
+
"learning_rate": 0.0001332104364589212,
|
| 1448 |
+
"loss": 0.1035,
|
| 1449 |
+
"step": 192
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 1.2135097768121668,
|
| 1453 |
+
"eval_loss": 0.13200590014457703,
|
| 1454 |
+
"eval_runtime": 58.9558,
|
| 1455 |
+
"eval_samples_per_second": 18.081,
|
| 1456 |
+
"eval_steps_per_second": 18.081,
|
| 1457 |
+
"step": 192
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 1.2198301402330634,
|
| 1461 |
+
"grad_norm": 0.115234375,
|
| 1462 |
+
"learning_rate": 0.00013257104129463614,
|
| 1463 |
+
"loss": 0.104,
|
| 1464 |
+
"step": 193
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 1.2261505036539602,
|
| 1468 |
+
"grad_norm": 0.107421875,
|
| 1469 |
+
"learning_rate": 0.000131930153013598,
|
| 1470 |
+
"loss": 0.0966,
|
| 1471 |
+
"step": 194
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 1.2324708670748568,
|
| 1475 |
+
"grad_norm": 0.10791015625,
|
| 1476 |
+
"learning_rate": 0.00013128780099531056,
|
| 1477 |
+
"loss": 0.1062,
|
| 1478 |
+
"step": 195
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 1.2387912304957536,
|
| 1482 |
+
"grad_norm": 0.10888671875,
|
| 1483 |
+
"learning_rate": 0.00013064401468637792,
|
| 1484 |
+
"loss": 0.1027,
|
| 1485 |
+
"step": 196
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 1.2451115939166502,
|
| 1489 |
+
"grad_norm": 0.10546875,
|
| 1490 |
+
"learning_rate": 0.0001299988235991548,
|
| 1491 |
+
"loss": 0.0927,
|
| 1492 |
+
"step": 197
|
| 1493 |
+
},
|
| 1494 |
+
{
|
| 1495 |
+
"epoch": 1.251431957337547,
|
| 1496 |
+
"grad_norm": 0.11865234375,
|
| 1497 |
+
"learning_rate": 0.00012935225731039348,
|
| 1498 |
+
"loss": 0.1031,
|
| 1499 |
+
"step": 198
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"epoch": 1.2577523207584436,
|
| 1503 |
+
"grad_norm": 0.10986328125,
|
| 1504 |
+
"learning_rate": 0.00012870434545988812,
|
| 1505 |
+
"loss": 0.109,
|
| 1506 |
+
"step": 199
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 1.2640726841793404,
|
| 1510 |
+
"grad_norm": 0.0888671875,
|
| 1511 |
+
"learning_rate": 0.00012805511774911584,
|
| 1512 |
+
"loss": 0.0835,
|
| 1513 |
+
"step": 200
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"epoch": 1.270393047600237,
|
| 1517 |
+
"grad_norm": 0.09228515625,
|
| 1518 |
+
"learning_rate": 0.00012740460393987526,
|
| 1519 |
+
"loss": 0.0902,
|
| 1520 |
+
"step": 201
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 1.2767134110211338,
|
| 1524 |
+
"grad_norm": 0.10986328125,
|
| 1525 |
+
"learning_rate": 0.00012675283385292212,
|
| 1526 |
+
"loss": 0.114,
|
| 1527 |
+
"step": 202
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 1.2830337744420304,
|
| 1531 |
+
"grad_norm": 0.095703125,
|
| 1532 |
+
"learning_rate": 0.0001260998373666022,
|
| 1533 |
+
"loss": 0.0887,
|
| 1534 |
+
"step": 203
|
| 1535 |
+
},
|
| 1536 |
+
{
|
| 1537 |
+
"epoch": 1.2893541378629272,
|
| 1538 |
+
"grad_norm": 0.1103515625,
|
| 1539 |
+
"learning_rate": 0.00012544564441548182,
|
| 1540 |
+
"loss": 0.095,
|
| 1541 |
+
"step": 204
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 1.2956745012838238,
|
| 1545 |
+
"grad_norm": 0.099609375,
|
| 1546 |
+
"learning_rate": 0.00012479028498897535,
|
| 1547 |
+
"loss": 0.0883,
|
| 1548 |
+
"step": 205
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 1.3019948647047206,
|
| 1552 |
+
"grad_norm": 0.10498046875,
|
| 1553 |
+
"learning_rate": 0.00012413378912997058,
|
| 1554 |
+
"loss": 0.0824,
|
| 1555 |
+
"step": 206
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 1.3083152281256172,
|
| 1559 |
+
"grad_norm": 0.091796875,
|
| 1560 |
+
"learning_rate": 0.0001234761869334515,
|
| 1561 |
+
"loss": 0.0736,
|
| 1562 |
+
"step": 207
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 1.314635591546514,
|
| 1566 |
+
"grad_norm": 0.1103515625,
|
| 1567 |
+
"learning_rate": 0.0001228175085451186,
|
| 1568 |
+
"loss": 0.1025,
|
| 1569 |
+
"step": 208
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 1.314635591546514,
|
| 1573 |
+
"eval_loss": 0.13002794981002808,
|
| 1574 |
+
"eval_runtime": 57.2937,
|
| 1575 |
+
"eval_samples_per_second": 18.606,
|
| 1576 |
+
"eval_steps_per_second": 18.606,
|
| 1577 |
+
"step": 208
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 1.3209559549674106,
|
| 1581 |
+
"grad_norm": 0.1220703125,
|
| 1582 |
+
"learning_rate": 0.00012215778416000707,
|
| 1583 |
+
"loss": 0.1188,
|
| 1584 |
+
"step": 209
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 1.3272763183883074,
|
| 1588 |
+
"grad_norm": 0.1123046875,
|
| 1589 |
+
"learning_rate": 0.00012149704402110243,
|
| 1590 |
+
"loss": 0.101,
|
| 1591 |
+
"step": 210
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 1.333596681809204,
|
| 1595 |
+
"grad_norm": 0.1083984375,
|
| 1596 |
+
"learning_rate": 0.00012083531841795425,
|
| 1597 |
+
"loss": 0.1031,
|
| 1598 |
+
"step": 211
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 1.3399170452301008,
|
| 1602 |
+
"grad_norm": 0.1083984375,
|
| 1603 |
+
"learning_rate": 0.00012017263768528775,
|
| 1604 |
+
"loss": 0.0974,
|
| 1605 |
+
"step": 212
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 1.3462374086509974,
|
| 1609 |
+
"grad_norm": 0.11181640625,
|
| 1610 |
+
"learning_rate": 0.00011950903220161285,
|
| 1611 |
+
"loss": 0.1009,
|
| 1612 |
+
"step": 213
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 1.3525577720718942,
|
| 1616 |
+
"grad_norm": 0.10498046875,
|
| 1617 |
+
"learning_rate": 0.00011884453238783185,
|
| 1618 |
+
"loss": 0.1017,
|
| 1619 |
+
"step": 214
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 1.3588781354927908,
|
| 1623 |
+
"grad_norm": 0.1005859375,
|
| 1624 |
+
"learning_rate": 0.00011817916870584482,
|
| 1625 |
+
"loss": 0.095,
|
| 1626 |
+
"step": 215
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 1.3651984989136876,
|
| 1630 |
+
"grad_norm": 0.103515625,
|
| 1631 |
+
"learning_rate": 0.00011751297165715309,
|
| 1632 |
+
"loss": 0.1064,
|
| 1633 |
+
"step": 216
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 1.3715188623345842,
|
| 1637 |
+
"grad_norm": 0.11181640625,
|
| 1638 |
+
"learning_rate": 0.00011684597178146115,
|
| 1639 |
+
"loss": 0.106,
|
| 1640 |
+
"step": 217
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.377839225755481,
|
| 1644 |
+
"grad_norm": 0.1015625,
|
| 1645 |
+
"learning_rate": 0.0001161781996552765,
|
| 1646 |
+
"loss": 0.0836,
|
| 1647 |
+
"step": 218
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 1.3841595891763776,
|
| 1651 |
+
"grad_norm": 0.10107421875,
|
| 1652 |
+
"learning_rate": 0.00011550968589050799,
|
| 1653 |
+
"loss": 0.0933,
|
| 1654 |
+
"step": 219
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 1.3904799525972744,
|
| 1658 |
+
"grad_norm": 0.09619140625,
|
| 1659 |
+
"learning_rate": 0.00011484046113306262,
|
| 1660 |
+
"loss": 0.0874,
|
| 1661 |
+
"step": 220
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 1.396800316018171,
|
| 1665 |
+
"grad_norm": 0.11669921875,
|
| 1666 |
+
"learning_rate": 0.0001141705560614406,
|
| 1667 |
+
"loss": 0.1175,
|
| 1668 |
+
"step": 221
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 1.4031206794390678,
|
| 1672 |
+
"grad_norm": 0.10302734375,
|
| 1673 |
+
"learning_rate": 0.00011350000138532902,
|
| 1674 |
+
"loss": 0.1018,
|
| 1675 |
+
"step": 222
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 1.4094410428599644,
|
| 1679 |
+
"grad_norm": 0.11865234375,
|
| 1680 |
+
"learning_rate": 0.00011282882784419398,
|
| 1681 |
+
"loss": 0.1207,
|
| 1682 |
+
"step": 223
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.4157614062808612,
|
| 1686 |
+
"grad_norm": 0.103515625,
|
| 1687 |
+
"learning_rate": 0.00011215706620587149,
|
| 1688 |
+
"loss": 0.0936,
|
| 1689 |
+
"step": 224
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.4157614062808612,
|
| 1693 |
+
"eval_loss": 0.12633191049098969,
|
| 1694 |
+
"eval_runtime": 57.953,
|
| 1695 |
+
"eval_samples_per_second": 18.394,
|
| 1696 |
+
"eval_steps_per_second": 18.394,
|
| 1697 |
+
"step": 224
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 1.4220817697017578,
|
| 1701 |
+
"grad_norm": 0.10986328125,
|
| 1702 |
+
"learning_rate": 0.00011148474726515716,
|
| 1703 |
+
"loss": 0.0982,
|
| 1704 |
+
"step": 225
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 1.4284021331226546,
|
| 1708 |
+
"grad_norm": 0.1005859375,
|
| 1709 |
+
"learning_rate": 0.00011081190184239419,
|
| 1710 |
+
"loss": 0.0912,
|
| 1711 |
+
"step": 226
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 1.4347224965435512,
|
| 1715 |
+
"grad_norm": 0.11083984375,
|
| 1716 |
+
"learning_rate": 0.0001101385607820608,
|
| 1717 |
+
"loss": 0.1165,
|
| 1718 |
+
"step": 227
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 1.441042859964448,
|
| 1722 |
+
"grad_norm": 0.1103515625,
|
| 1723 |
+
"learning_rate": 0.0001094647549513561,
|
| 1724 |
+
"loss": 0.0996,
|
| 1725 |
+
"step": 228
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 1.4473632233853446,
|
| 1729 |
+
"grad_norm": 0.10986328125,
|
| 1730 |
+
"learning_rate": 0.00010879051523878522,
|
| 1731 |
+
"loss": 0.0946,
|
| 1732 |
+
"step": 229
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 1.4536835868062414,
|
| 1736 |
+
"grad_norm": 0.1083984375,
|
| 1737 |
+
"learning_rate": 0.00010811587255274313,
|
| 1738 |
+
"loss": 0.1126,
|
| 1739 |
+
"step": 230
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 1.460003950227138,
|
| 1743 |
+
"grad_norm": 0.09765625,
|
| 1744 |
+
"learning_rate": 0.00010744085782009792,
|
| 1745 |
+
"loss": 0.0875,
|
| 1746 |
+
"step": 231
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 1.4663243136480348,
|
| 1750 |
+
"grad_norm": 0.109375,
|
| 1751 |
+
"learning_rate": 0.00010676550198477293,
|
| 1752 |
+
"loss": 0.0989,
|
| 1753 |
+
"step": 232
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 1.4726446770689314,
|
| 1757 |
+
"grad_norm": 0.11376953125,
|
| 1758 |
+
"learning_rate": 0.00010608983600632831,
|
| 1759 |
+
"loss": 0.1057,
|
| 1760 |
+
"step": 233
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 1.4789650404898282,
|
| 1764 |
+
"grad_norm": 0.10791015625,
|
| 1765 |
+
"learning_rate": 0.00010541389085854176,
|
| 1766 |
+
"loss": 0.0906,
|
| 1767 |
+
"step": 234
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 1.4852854039107248,
|
| 1771 |
+
"grad_norm": 0.10400390625,
|
| 1772 |
+
"learning_rate": 0.00010473769752798859,
|
| 1773 |
+
"loss": 0.0872,
|
| 1774 |
+
"step": 235
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 1.4916057673316216,
|
| 1778 |
+
"grad_norm": 0.109375,
|
| 1779 |
+
"learning_rate": 0.00010406128701262128,
|
| 1780 |
+
"loss": 0.1047,
|
| 1781 |
+
"step": 236
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 1.4979261307525182,
|
| 1785 |
+
"grad_norm": 0.11083984375,
|
| 1786 |
+
"learning_rate": 0.00010338469032034845,
|
| 1787 |
+
"loss": 0.0926,
|
| 1788 |
+
"step": 237
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 1.5042464941734148,
|
| 1792 |
+
"grad_norm": 0.10498046875,
|
| 1793 |
+
"learning_rate": 0.00010270793846761347,
|
| 1794 |
+
"loss": 0.0905,
|
| 1795 |
+
"step": 238
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 1.5105668575943116,
|
| 1799 |
+
"grad_norm": 0.11279296875,
|
| 1800 |
+
"learning_rate": 0.00010203106247797243,
|
| 1801 |
+
"loss": 0.0996,
|
| 1802 |
+
"step": 239
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 1.5168872210152085,
|
| 1806 |
+
"grad_norm": 0.09326171875,
|
| 1807 |
+
"learning_rate": 0.00010135409338067219,
|
| 1808 |
+
"loss": 0.0797,
|
| 1809 |
+
"step": 240
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 1.5168872210152085,
|
| 1813 |
+
"eval_loss": 0.1241099089384079,
|
| 1814 |
+
"eval_runtime": 60.1424,
|
| 1815 |
+
"eval_samples_per_second": 17.725,
|
| 1816 |
+
"eval_steps_per_second": 17.725,
|
| 1817 |
+
"step": 240
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 1.523207584436105,
|
| 1821 |
+
"grad_norm": 0.11083984375,
|
| 1822 |
+
"learning_rate": 0.00010067706220922785,
|
| 1823 |
+
"loss": 0.0839,
|
| 1824 |
+
"step": 241
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 1.5295279478570016,
|
| 1828 |
+
"grad_norm": 0.123046875,
|
| 1829 |
+
"learning_rate": 0.0001,
|
| 1830 |
+
"loss": 0.0984,
|
| 1831 |
+
"step": 242
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 1.5358483112778984,
|
| 1835 |
+
"grad_norm": 0.1015625,
|
| 1836 |
+
"learning_rate": 9.932293779077216e-05,
|
| 1837 |
+
"loss": 0.0893,
|
| 1838 |
+
"step": 243
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 1.5421686746987953,
|
| 1842 |
+
"grad_norm": 0.1103515625,
|
| 1843 |
+
"learning_rate": 9.864590661932783e-05,
|
| 1844 |
+
"loss": 0.0972,
|
| 1845 |
+
"step": 244
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 1.5484890381196919,
|
| 1849 |
+
"grad_norm": 0.10693359375,
|
| 1850 |
+
"learning_rate": 9.796893752202758e-05,
|
| 1851 |
+
"loss": 0.0886,
|
| 1852 |
+
"step": 245
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 1.5548094015405884,
|
| 1856 |
+
"grad_norm": 0.1044921875,
|
| 1857 |
+
"learning_rate": 9.729206153238657e-05,
|
| 1858 |
+
"loss": 0.0971,
|
| 1859 |
+
"step": 246
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 1.5611297649614853,
|
| 1863 |
+
"grad_norm": 0.11083984375,
|
| 1864 |
+
"learning_rate": 9.661530967965156e-05,
|
| 1865 |
+
"loss": 0.108,
|
| 1866 |
+
"step": 247
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 1.567450128382382,
|
| 1870 |
+
"grad_norm": 0.09521484375,
|
| 1871 |
+
"learning_rate": 9.59387129873787e-05,
|
| 1872 |
+
"loss": 0.0826,
|
| 1873 |
+
"step": 248
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 1.5737704918032787,
|
| 1877 |
+
"grad_norm": 0.09326171875,
|
| 1878 |
+
"learning_rate": 9.526230247201142e-05,
|
| 1879 |
+
"loss": 0.0875,
|
| 1880 |
+
"step": 249
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 1.5800908552241753,
|
| 1884 |
+
"grad_norm": 0.078125,
|
| 1885 |
+
"learning_rate": 9.458610914145826e-05,
|
| 1886 |
+
"loss": 0.0742,
|
| 1887 |
+
"step": 250
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 1.586411218645072,
|
| 1891 |
+
"grad_norm": 0.1064453125,
|
| 1892 |
+
"learning_rate": 9.391016399367172e-05,
|
| 1893 |
+
"loss": 0.0981,
|
| 1894 |
+
"step": 251
|
| 1895 |
+
},
|
| 1896 |
+
{
|
| 1897 |
+
"epoch": 1.5927315820659689,
|
| 1898 |
+
"grad_norm": 0.1083984375,
|
| 1899 |
+
"learning_rate": 9.323449801522709e-05,
|
| 1900 |
+
"loss": 0.1035,
|
| 1901 |
+
"step": 252
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 1.5990519454868655,
|
| 1905 |
+
"grad_norm": 0.119140625,
|
| 1906 |
+
"learning_rate": 9.255914217990211e-05,
|
| 1907 |
+
"loss": 0.111,
|
| 1908 |
+
"step": 253
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 1.605372308907762,
|
| 1912 |
+
"grad_norm": 0.10205078125,
|
| 1913 |
+
"learning_rate": 9.18841274472569e-05,
|
| 1914 |
+
"loss": 0.0855,
|
| 1915 |
+
"step": 254
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 1.6116926723286589,
|
| 1919 |
+
"grad_norm": 0.09423828125,
|
| 1920 |
+
"learning_rate": 9.120948476121479e-05,
|
| 1921 |
+
"loss": 0.0889,
|
| 1922 |
+
"step": 255
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 1.6180130357495557,
|
| 1926 |
+
"grad_norm": 0.11328125,
|
| 1927 |
+
"learning_rate": 9.05352450486439e-05,
|
| 1928 |
+
"loss": 0.1014,
|
| 1929 |
+
"step": 256
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 1.6180130357495557,
|
| 1933 |
+
"eval_loss": 0.12204406410455704,
|
| 1934 |
+
"eval_runtime": 58.4358,
|
| 1935 |
+
"eval_samples_per_second": 18.242,
|
| 1936 |
+
"eval_steps_per_second": 18.242,
|
| 1937 |
+
"step": 256
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 1.6243333991704523,
|
| 1941 |
+
"grad_norm": 0.10205078125,
|
| 1942 |
+
"learning_rate": 8.986143921793923e-05,
|
| 1943 |
+
"loss": 0.0858,
|
| 1944 |
+
"step": 257
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 1.6306537625913489,
|
| 1948 |
+
"grad_norm": 0.11474609375,
|
| 1949 |
+
"learning_rate": 8.918809815760585e-05,
|
| 1950 |
+
"loss": 0.1131,
|
| 1951 |
+
"step": 258
|
| 1952 |
+
},
|
| 1953 |
+
{
|
| 1954 |
+
"epoch": 1.6369741260122457,
|
| 1955 |
+
"grad_norm": 0.1103515625,
|
| 1956 |
+
"learning_rate": 8.851525273484286e-05,
|
| 1957 |
+
"loss": 0.1018,
|
| 1958 |
+
"step": 259
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 1.6432944894331425,
|
| 1962 |
+
"grad_norm": 0.126953125,
|
| 1963 |
+
"learning_rate": 8.78429337941285e-05,
|
| 1964 |
+
"loss": 0.1183,
|
| 1965 |
+
"step": 260
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 1.649614852854039,
|
| 1969 |
+
"grad_norm": 0.123046875,
|
| 1970 |
+
"learning_rate": 8.717117215580606e-05,
|
| 1971 |
+
"loss": 0.1097,
|
| 1972 |
+
"step": 261
|
| 1973 |
+
},
|
| 1974 |
+
{
|
| 1975 |
+
"epoch": 1.6559352162749357,
|
| 1976 |
+
"grad_norm": 0.107421875,
|
| 1977 |
+
"learning_rate": 8.649999861467099e-05,
|
| 1978 |
+
"loss": 0.095,
|
| 1979 |
+
"step": 262
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 1.6622555796958325,
|
| 1983 |
+
"grad_norm": 0.099609375,
|
| 1984 |
+
"learning_rate": 8.582944393855941e-05,
|
| 1985 |
+
"loss": 0.0839,
|
| 1986 |
+
"step": 263
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 1.6685759431167293,
|
| 1990 |
+
"grad_norm": 0.10791015625,
|
| 1991 |
+
"learning_rate": 8.515953886693739e-05,
|
| 1992 |
+
"loss": 0.0958,
|
| 1993 |
+
"step": 264
|
| 1994 |
+
},
|
| 1995 |
+
{
|
| 1996 |
+
"epoch": 1.674896306537626,
|
| 1997 |
+
"grad_norm": 0.1005859375,
|
| 1998 |
+
"learning_rate": 8.449031410949206e-05,
|
| 1999 |
+
"loss": 0.0951,
|
| 2000 |
+
"step": 265
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 1.6812166699585225,
|
| 2004 |
+
"grad_norm": 0.103515625,
|
| 2005 |
+
"learning_rate": 8.382180034472353e-05,
|
| 2006 |
+
"loss": 0.0948,
|
| 2007 |
+
"step": 266
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 1.6875370333794193,
|
| 2011 |
+
"grad_norm": 0.10302734375,
|
| 2012 |
+
"learning_rate": 8.315402821853886e-05,
|
| 2013 |
+
"loss": 0.0828,
|
| 2014 |
+
"step": 267
|
| 2015 |
+
},
|
| 2016 |
+
{
|
| 2017 |
+
"epoch": 1.693857396800316,
|
| 2018 |
+
"grad_norm": 0.10546875,
|
| 2019 |
+
"learning_rate": 8.248702834284693e-05,
|
| 2020 |
+
"loss": 0.0984,
|
| 2021 |
+
"step": 268
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 1.7001777602212127,
|
| 2025 |
+
"grad_norm": 0.10400390625,
|
| 2026 |
+
"learning_rate": 8.18208312941552e-05,
|
| 2027 |
+
"loss": 0.0949,
|
| 2028 |
+
"step": 269
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 1.7064981236421093,
|
| 2032 |
+
"grad_norm": 0.1240234375,
|
| 2033 |
+
"learning_rate": 8.115546761216822e-05,
|
| 2034 |
+
"loss": 0.1149,
|
| 2035 |
+
"step": 270
|
| 2036 |
+
},
|
| 2037 |
+
{
|
| 2038 |
+
"epoch": 1.712818487063006,
|
| 2039 |
+
"grad_norm": 0.11474609375,
|
| 2040 |
+
"learning_rate": 8.049096779838719e-05,
|
| 2041 |
+
"loss": 0.1048,
|
| 2042 |
+
"step": 271
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 1.719138850483903,
|
| 2046 |
+
"grad_norm": 0.109375,
|
| 2047 |
+
"learning_rate": 7.982736231471224e-05,
|
| 2048 |
+
"loss": 0.0984,
|
| 2049 |
+
"step": 272
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 1.719138850483903,
|
| 2053 |
+
"eval_loss": 0.11962020397186279,
|
| 2054 |
+
"eval_runtime": 57.5297,
|
| 2055 |
+
"eval_samples_per_second": 18.53,
|
| 2056 |
+
"eval_steps_per_second": 18.53,
|
| 2057 |
+
"step": 272
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 1.7254592139047995,
|
| 2061 |
+
"grad_norm": 0.10546875,
|
| 2062 |
+
"learning_rate": 7.916468158204576e-05,
|
| 2063 |
+
"loss": 0.0984,
|
| 2064 |
+
"step": 273
|
| 2065 |
+
},
|
| 2066 |
+
{
|
| 2067 |
+
"epoch": 1.731779577325696,
|
| 2068 |
+
"grad_norm": 0.10791015625,
|
| 2069 |
+
"learning_rate": 7.85029559788976e-05,
|
| 2070 |
+
"loss": 0.1061,
|
| 2071 |
+
"step": 274
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"epoch": 1.738099940746593,
|
| 2075 |
+
"grad_norm": 0.099609375,
|
| 2076 |
+
"learning_rate": 7.784221583999298e-05,
|
| 2077 |
+
"loss": 0.087,
|
| 2078 |
+
"step": 275
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 1.7444203041674897,
|
| 2082 |
+
"grad_norm": 0.0966796875,
|
| 2083 |
+
"learning_rate": 7.718249145488142e-05,
|
| 2084 |
+
"loss": 0.0869,
|
| 2085 |
+
"step": 276
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 1.7507406675883863,
|
| 2089 |
+
"grad_norm": 0.107421875,
|
| 2090 |
+
"learning_rate": 7.652381306654851e-05,
|
| 2091 |
+
"loss": 0.112,
|
| 2092 |
+
"step": 277
|
| 2093 |
+
},
|
| 2094 |
+
{
|
| 2095 |
+
"epoch": 1.757061031009283,
|
| 2096 |
+
"grad_norm": 0.0849609375,
|
| 2097 |
+
"learning_rate": 7.586621087002945e-05,
|
| 2098 |
+
"loss": 0.0796,
|
| 2099 |
+
"step": 278
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 1.7633813944301797,
|
| 2103 |
+
"grad_norm": 0.09375,
|
| 2104 |
+
"learning_rate": 7.520971501102469e-05,
|
| 2105 |
+
"loss": 0.0835,
|
| 2106 |
+
"step": 279
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 1.7697017578510765,
|
| 2110 |
+
"grad_norm": 0.1103515625,
|
| 2111 |
+
"learning_rate": 7.455435558451823e-05,
|
| 2112 |
+
"loss": 0.1032,
|
| 2113 |
+
"step": 280
|
| 2114 |
+
},
|
| 2115 |
+
{
|
| 2116 |
+
"epoch": 1.7760221212719731,
|
| 2117 |
+
"grad_norm": 0.1064453125,
|
| 2118 |
+
"learning_rate": 7.390016263339782e-05,
|
| 2119 |
+
"loss": 0.0877,
|
| 2120 |
+
"step": 281
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 1.7823424846928697,
|
| 2124 |
+
"grad_norm": 0.0986328125,
|
| 2125 |
+
"learning_rate": 7.324716614707793e-05,
|
| 2126 |
+
"loss": 0.086,
|
| 2127 |
+
"step": 282
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 1.7886628481137665,
|
| 2131 |
+
"grad_norm": 0.09619140625,
|
| 2132 |
+
"learning_rate": 7.259539606012478e-05,
|
| 2133 |
+
"loss": 0.0813,
|
| 2134 |
+
"step": 283
|
| 2135 |
+
},
|
| 2136 |
+
{
|
| 2137 |
+
"epoch": 1.7949832115346633,
|
| 2138 |
+
"grad_norm": 0.10595703125,
|
| 2139 |
+
"learning_rate": 7.194488225088417e-05,
|
| 2140 |
+
"loss": 0.0899,
|
| 2141 |
+
"step": 284
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 1.80130357495556,
|
| 2145 |
+
"grad_norm": 0.1171875,
|
| 2146 |
+
"learning_rate": 7.129565454011189e-05,
|
| 2147 |
+
"loss": 0.1086,
|
| 2148 |
+
"step": 285
|
| 2149 |
+
},
|
| 2150 |
+
{
|
| 2151 |
+
"epoch": 1.8076239383764565,
|
| 2152 |
+
"grad_norm": 0.1142578125,
|
| 2153 |
+
"learning_rate": 7.064774268960653e-05,
|
| 2154 |
+
"loss": 0.1115,
|
| 2155 |
+
"step": 286
|
| 2156 |
+
},
|
| 2157 |
+
{
|
| 2158 |
+
"epoch": 1.8139443017973533,
|
| 2159 |
+
"grad_norm": 0.1103515625,
|
| 2160 |
+
"learning_rate": 7.000117640084526e-05,
|
| 2161 |
+
"loss": 0.0908,
|
| 2162 |
+
"step": 287
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 1.8202646652182501,
|
| 2166 |
+
"grad_norm": 0.11181640625,
|
| 2167 |
+
"learning_rate": 6.93559853136221e-05,
|
| 2168 |
+
"loss": 0.1078,
|
| 2169 |
+
"step": 288
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 1.8202646652182501,
|
| 2173 |
+
"eval_loss": 0.11839400231838226,
|
| 2174 |
+
"eval_runtime": 58.7653,
|
| 2175 |
+
"eval_samples_per_second": 18.14,
|
| 2176 |
+
"eval_steps_per_second": 18.14,
|
| 2177 |
+
"step": 288
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 1.8265850286391467,
|
| 2181 |
+
"grad_norm": 0.10400390625,
|
| 2182 |
+
"learning_rate": 6.871219900468947e-05,
|
| 2183 |
+
"loss": 0.0937,
|
| 2184 |
+
"step": 289
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 1.8329053920600433,
|
| 2188 |
+
"grad_norm": 0.1025390625,
|
| 2189 |
+
"learning_rate": 6.806984698640202e-05,
|
| 2190 |
+
"loss": 0.0832,
|
| 2191 |
+
"step": 290
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 1.8392257554809401,
|
| 2195 |
+
"grad_norm": 0.10302734375,
|
| 2196 |
+
"learning_rate": 6.742895870536388e-05,
|
| 2197 |
+
"loss": 0.0926,
|
| 2198 |
+
"step": 291
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 1.845546118901837,
|
| 2202 |
+
"grad_norm": 0.10693359375,
|
| 2203 |
+
"learning_rate": 6.678956354107882e-05,
|
| 2204 |
+
"loss": 0.0926,
|
| 2205 |
+
"step": 292
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 1.8518664823227335,
|
| 2209 |
+
"grad_norm": 0.10986328125,
|
| 2210 |
+
"learning_rate": 6.615169080460331e-05,
|
| 2211 |
+
"loss": 0.0896,
|
| 2212 |
+
"step": 293
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 1.8581868457436301,
|
| 2216 |
+
"grad_norm": 0.109375,
|
| 2217 |
+
"learning_rate": 6.551536973720298e-05,
|
| 2218 |
+
"loss": 0.0857,
|
| 2219 |
+
"step": 294
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 1.864507209164527,
|
| 2223 |
+
"grad_norm": 0.09765625,
|
| 2224 |
+
"learning_rate": 6.488062950901198e-05,
|
| 2225 |
+
"loss": 0.0735,
|
| 2226 |
+
"step": 295
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 1.8708275725854238,
|
| 2230 |
+
"grad_norm": 0.1083984375,
|
| 2231 |
+
"learning_rate": 6.4247499217696e-05,
|
| 2232 |
+
"loss": 0.0998,
|
| 2233 |
+
"step": 296
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 1.8771479360063204,
|
| 2237 |
+
"grad_norm": 0.10205078125,
|
| 2238 |
+
"learning_rate": 6.361600788711816e-05,
|
| 2239 |
+
"loss": 0.0926,
|
| 2240 |
+
"step": 297
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 1.883468299427217,
|
| 2244 |
+
"grad_norm": 0.10595703125,
|
| 2245 |
+
"learning_rate": 6.298618446600856e-05,
|
| 2246 |
+
"loss": 0.0913,
|
| 2247 |
+
"step": 298
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 1.8897886628481138,
|
| 2251 |
+
"grad_norm": 0.09033203125,
|
| 2252 |
+
"learning_rate": 6.23580578266374e-05,
|
| 2253 |
+
"loss": 0.0759,
|
| 2254 |
+
"step": 299
|
| 2255 |
+
},
|
| 2256 |
+
{
|
| 2257 |
+
"epoch": 1.8961090262690106,
|
| 2258 |
+
"grad_norm": 0.1083984375,
|
| 2259 |
+
"learning_rate": 6.173165676349103e-05,
|
| 2260 |
+
"loss": 0.0897,
|
| 2261 |
+
"step": 300
|
| 2262 |
+
},
|
| 2263 |
+
{
|
| 2264 |
+
"epoch": 1.9024293896899072,
|
| 2265 |
+
"grad_norm": 0.10546875,
|
| 2266 |
+
"learning_rate": 6.11070099919524e-05,
|
| 2267 |
+
"loss": 0.0881,
|
| 2268 |
+
"step": 301
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 1.9087497531108037,
|
| 2272 |
+
"grad_norm": 0.1181640625,
|
| 2273 |
+
"learning_rate": 6.048414614698448e-05,
|
| 2274 |
+
"loss": 0.1177,
|
| 2275 |
+
"step": 302
|
| 2276 |
+
},
|
| 2277 |
+
{
|
| 2278 |
+
"epoch": 1.9150701165317006,
|
| 2279 |
+
"grad_norm": 0.1171875,
|
| 2280 |
+
"learning_rate": 5.9863093781817394e-05,
|
| 2281 |
+
"loss": 0.1063,
|
| 2282 |
+
"step": 303
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 1.9213904799525974,
|
| 2286 |
+
"grad_norm": 0.09912109375,
|
| 2287 |
+
"learning_rate": 5.924388136663992e-05,
|
| 2288 |
+
"loss": 0.0803,
|
| 2289 |
+
"step": 304
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 1.9213904799525974,
|
| 2293 |
+
"eval_loss": 0.1170881986618042,
|
| 2294 |
+
"eval_runtime": 57.9811,
|
| 2295 |
+
"eval_samples_per_second": 18.385,
|
| 2296 |
+
"eval_steps_per_second": 18.385,
|
| 2297 |
+
"step": 304
|
| 2298 |
+
},
|
| 2299 |
+
{
|
| 2300 |
+
"epoch": 1.927710843373494,
|
| 2301 |
+
"grad_norm": 0.10791015625,
|
| 2302 |
+
"learning_rate": 5.862653728729397e-05,
|
| 2303 |
+
"loss": 0.0821,
|
| 2304 |
+
"step": 305
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 1.9340312067943906,
|
| 2308 |
+
"grad_norm": 0.09716796875,
|
| 2309 |
+
"learning_rate": 5.801108984397354e-05,
|
| 2310 |
+
"loss": 0.0752,
|
| 2311 |
+
"step": 306
|
| 2312 |
+
},
|
| 2313 |
+
{
|
| 2314 |
+
"epoch": 1.9403515702152874,
|
| 2315 |
+
"grad_norm": 0.0947265625,
|
| 2316 |
+
"learning_rate": 5.739756724992736e-05,
|
| 2317 |
+
"loss": 0.0751,
|
| 2318 |
+
"step": 307
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 1.9466719336361842,
|
| 2322 |
+
"grad_norm": 0.10302734375,
|
| 2323 |
+
"learning_rate": 5.6785997630165435e-05,
|
| 2324 |
+
"loss": 0.1088,
|
| 2325 |
+
"step": 308
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 1.9529922970570808,
|
| 2329 |
+
"grad_norm": 0.1083984375,
|
| 2330 |
+
"learning_rate": 5.61764090201699e-05,
|
| 2331 |
+
"loss": 0.0907,
|
| 2332 |
+
"step": 309
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"epoch": 1.9593126604779774,
|
| 2336 |
+
"grad_norm": 0.12158203125,
|
| 2337 |
+
"learning_rate": 5.5568829364609664e-05,
|
| 2338 |
+
"loss": 0.0985,
|
| 2339 |
+
"step": 310
|
| 2340 |
+
},
|
| 2341 |
+
{
|
| 2342 |
+
"epoch": 1.9656330238988742,
|
| 2343 |
+
"grad_norm": 0.10498046875,
|
| 2344 |
+
"learning_rate": 5.4963286516059496e-05,
|
| 2345 |
+
"loss": 0.0851,
|
| 2346 |
+
"step": 311
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 1.971953387319771,
|
| 2350 |
+
"grad_norm": 0.1083984375,
|
| 2351 |
+
"learning_rate": 5.435980823372311e-05,
|
| 2352 |
+
"loss": 0.0865,
|
| 2353 |
+
"step": 312
|
| 2354 |
+
},
|
| 2355 |
+
{
|
| 2356 |
+
"epoch": 1.9782737507406676,
|
| 2357 |
+
"grad_norm": 0.107421875,
|
| 2358 |
+
"learning_rate": 5.375842218216076e-05,
|
| 2359 |
+
"loss": 0.0911,
|
| 2360 |
+
"step": 313
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 1.9845941141615642,
|
| 2364 |
+
"grad_norm": 0.1025390625,
|
| 2365 |
+
"learning_rate": 5.3159155930021e-05,
|
| 2366 |
+
"loss": 0.0886,
|
| 2367 |
+
"step": 314
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 1.990914477582461,
|
| 2371 |
+
"grad_norm": 0.10107421875,
|
| 2372 |
+
"learning_rate": 5.25620369487767e-05,
|
| 2373 |
+
"loss": 0.0853,
|
| 2374 |
+
"step": 315
|
| 2375 |
+
},
|
| 2376 |
+
{
|
| 2377 |
+
"epoch": 1.9972348410033578,
|
| 2378 |
+
"grad_norm": 0.09423828125,
|
| 2379 |
+
"learning_rate": 5.196709261146606e-05,
|
| 2380 |
+
"loss": 0.0692,
|
| 2381 |
+
"step": 316
|
| 2382 |
+
},
|
| 2383 |
+
{
|
| 2384 |
+
"epoch": 2.0035552044242544,
|
| 2385 |
+
"grad_norm": 0.087890625,
|
| 2386 |
+
"learning_rate": 5.1374350191437446e-05,
|
| 2387 |
+
"loss": 0.0688,
|
| 2388 |
+
"step": 317
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 2.009875567845151,
|
| 2392 |
+
"grad_norm": 0.08251953125,
|
| 2393 |
+
"learning_rate": 5.078383686109926e-05,
|
| 2394 |
+
"loss": 0.0725,
|
| 2395 |
+
"step": 318
|
| 2396 |
+
},
|
| 2397 |
+
{
|
| 2398 |
+
"epoch": 2.016195931266048,
|
| 2399 |
+
"grad_norm": 0.08447265625,
|
| 2400 |
+
"learning_rate": 5.0195579690674447e-05,
|
| 2401 |
+
"loss": 0.0642,
|
| 2402 |
+
"step": 319
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"epoch": 2.0225162946869446,
|
| 2406 |
+
"grad_norm": 0.0869140625,
|
| 2407 |
+
"learning_rate": 4.9609605646959226e-05,
|
| 2408 |
+
"loss": 0.0658,
|
| 2409 |
+
"step": 320
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 2.0225162946869446,
|
| 2413 |
+
"eval_loss": 0.1164059117436409,
|
| 2414 |
+
"eval_runtime": 59.182,
|
| 2415 |
+
"eval_samples_per_second": 18.012,
|
| 2416 |
+
"eval_steps_per_second": 18.012,
|
| 2417 |
+
"step": 320
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 2.028836658107841,
|
| 2421 |
+
"grad_norm": 0.0751953125,
|
| 2422 |
+
"learning_rate": 4.902594159208723e-05,
|
| 2423 |
+
"loss": 0.0557,
|
| 2424 |
+
"step": 321
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 2.035157021528738,
|
| 2428 |
+
"grad_norm": 0.083984375,
|
| 2429 |
+
"learning_rate": 4.844461428229782e-05,
|
| 2430 |
+
"loss": 0.0746,
|
| 2431 |
+
"step": 322
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 2.041477384949635,
|
| 2435 |
+
"grad_norm": 0.08447265625,
|
| 2436 |
+
"learning_rate": 4.786565036670972e-05,
|
| 2437 |
+
"loss": 0.0609,
|
| 2438 |
+
"step": 323
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 2.0477977483705314,
|
| 2442 |
+
"grad_norm": 0.08837890625,
|
| 2443 |
+
"learning_rate": 4.728907638609925e-05,
|
| 2444 |
+
"loss": 0.0649,
|
| 2445 |
+
"step": 324
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 2.054118111791428,
|
| 2449 |
+
"grad_norm": 0.0888671875,
|
| 2450 |
+
"learning_rate": 4.6714918771683646e-05,
|
| 2451 |
+
"loss": 0.0517,
|
| 2452 |
+
"step": 325
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 2.0604384752123246,
|
| 2456 |
+
"grad_norm": 0.09326171875,
|
| 2457 |
+
"learning_rate": 4.614320384390959e-05,
|
| 2458 |
+
"loss": 0.0733,
|
| 2459 |
+
"step": 326
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 2.0667588386332216,
|
| 2463 |
+
"grad_norm": 0.0947265625,
|
| 2464 |
+
"learning_rate": 4.557395781124632e-05,
|
| 2465 |
+
"loss": 0.0671,
|
| 2466 |
+
"step": 327
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 2.073079202054118,
|
| 2470 |
+
"grad_norm": 0.0908203125,
|
| 2471 |
+
"learning_rate": 4.500720676898452e-05,
|
| 2472 |
+
"loss": 0.0593,
|
| 2473 |
+
"step": 328
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 2.079399565475015,
|
| 2477 |
+
"grad_norm": 0.09765625,
|
| 2478 |
+
"learning_rate": 4.444297669803981e-05,
|
| 2479 |
+
"loss": 0.0666,
|
| 2480 |
+
"step": 329
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 2.0857199288959114,
|
| 2484 |
+
"grad_norm": 0.1083984375,
|
| 2485 |
+
"learning_rate": 4.388129346376178e-05,
|
| 2486 |
+
"loss": 0.0788,
|
| 2487 |
+
"step": 330
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 2.092040292316808,
|
| 2491 |
+
"grad_norm": 0.0869140625,
|
| 2492 |
+
"learning_rate": 4.3322182814748436e-05,
|
| 2493 |
+
"loss": 0.0504,
|
| 2494 |
+
"step": 331
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 2.098360655737705,
|
| 2498 |
+
"grad_norm": 0.08837890625,
|
| 2499 |
+
"learning_rate": 4.276567038166563e-05,
|
| 2500 |
+
"loss": 0.0472,
|
| 2501 |
+
"step": 332
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 2.1046810191586016,
|
| 2505 |
+
"grad_norm": 0.10205078125,
|
| 2506 |
+
"learning_rate": 4.221178167607226e-05,
|
| 2507 |
+
"loss": 0.0598,
|
| 2508 |
+
"step": 333
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 2.111001382579498,
|
| 2512 |
+
"grad_norm": 0.087890625,
|
| 2513 |
+
"learning_rate": 4.16605420892506e-05,
|
| 2514 |
+
"loss": 0.0528,
|
| 2515 |
+
"step": 334
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 2.1173217460003952,
|
| 2519 |
+
"grad_norm": 0.10595703125,
|
| 2520 |
+
"learning_rate": 4.111197689104258e-05,
|
| 2521 |
+
"loss": 0.0621,
|
| 2522 |
+
"step": 335
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 2.123642109421292,
|
| 2526 |
+
"grad_norm": 0.0966796875,
|
| 2527 |
+
"learning_rate": 4.0566111228691064e-05,
|
| 2528 |
+
"loss": 0.0517,
|
| 2529 |
+
"step": 336
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 2.123642109421292,
|
| 2533 |
+
"eval_loss": 0.12141799181699753,
|
| 2534 |
+
"eval_runtime": 58.3864,
|
| 2535 |
+
"eval_samples_per_second": 18.258,
|
| 2536 |
+
"eval_steps_per_second": 18.258,
|
| 2537 |
+
"step": 336
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 2.1299624728421884,
|
| 2541 |
+
"grad_norm": 0.10205078125,
|
| 2542 |
+
"learning_rate": 4.002297012568722e-05,
|
| 2543 |
+
"loss": 0.0682,
|
| 2544 |
+
"step": 337
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 2.136282836263085,
|
| 2548 |
+
"grad_norm": 0.10498046875,
|
| 2549 |
+
"learning_rate": 3.948257848062351e-05,
|
| 2550 |
+
"loss": 0.0599,
|
| 2551 |
+
"step": 338
|
| 2552 |
+
},
|
| 2553 |
+
{
|
| 2554 |
+
"epoch": 2.1426031996839816,
|
| 2555 |
+
"grad_norm": 0.09326171875,
|
| 2556 |
+
"learning_rate": 3.894496106605197e-05,
|
| 2557 |
+
"loss": 0.0565,
|
| 2558 |
+
"step": 339
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 2.1489235631048786,
|
| 2562 |
+
"grad_norm": 0.10791015625,
|
| 2563 |
+
"learning_rate": 3.841014252734896e-05,
|
| 2564 |
+
"loss": 0.0807,
|
| 2565 |
+
"step": 340
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 2.1552439265257752,
|
| 2569 |
+
"grad_norm": 0.09375,
|
| 2570 |
+
"learning_rate": 3.787814738158504e-05,
|
| 2571 |
+
"loss": 0.0604,
|
| 2572 |
+
"step": 341
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 2.161564289946672,
|
| 2576 |
+
"grad_norm": 0.0966796875,
|
| 2577 |
+
"learning_rate": 3.734900001640135e-05,
|
| 2578 |
+
"loss": 0.0576,
|
| 2579 |
+
"step": 342
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 2.167884653367569,
|
| 2583 |
+
"grad_norm": 0.10693359375,
|
| 2584 |
+
"learning_rate": 3.6822724688891416e-05,
|
| 2585 |
+
"loss": 0.0784,
|
| 2586 |
+
"step": 343
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 2.1742050167884654,
|
| 2590 |
+
"grad_norm": 0.1103515625,
|
| 2591 |
+
"learning_rate": 3.629934552448925e-05,
|
| 2592 |
+
"loss": 0.0648,
|
| 2593 |
+
"step": 344
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 2.180525380209362,
|
| 2597 |
+
"grad_norm": 0.10791015625,
|
| 2598 |
+
"learning_rate": 3.5778886515863474e-05,
|
| 2599 |
+
"loss": 0.0664,
|
| 2600 |
+
"step": 345
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 2.1868457436302586,
|
| 2604 |
+
"grad_norm": 0.10498046875,
|
| 2605 |
+
"learning_rate": 3.5261371521817244e-05,
|
| 2606 |
+
"loss": 0.0655,
|
| 2607 |
+
"step": 346
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 2.1931661070511552,
|
| 2611 |
+
"grad_norm": 0.10400390625,
|
| 2612 |
+
"learning_rate": 3.4746824266194744e-05,
|
| 2613 |
+
"loss": 0.0628,
|
| 2614 |
+
"step": 347
|
| 2615 |
+
},
|
| 2616 |
+
{
|
| 2617 |
+
"epoch": 2.1994864704720523,
|
| 2618 |
+
"grad_norm": 0.099609375,
|
| 2619 |
+
"learning_rate": 3.423526833679355e-05,
|
| 2620 |
+
"loss": 0.064,
|
| 2621 |
+
"step": 348
|
| 2622 |
+
},
|
| 2623 |
+
{
|
| 2624 |
+
"epoch": 2.205806833892949,
|
| 2625 |
+
"grad_norm": 0.111328125,
|
| 2626 |
+
"learning_rate": 3.3726727184283236e-05,
|
| 2627 |
+
"loss": 0.0692,
|
| 2628 |
+
"step": 349
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 2.2121271973138454,
|
| 2632 |
+
"grad_norm": 0.09619140625,
|
| 2633 |
+
"learning_rate": 3.322122412113047e-05,
|
| 2634 |
+
"loss": 0.0604,
|
| 2635 |
+
"step": 350
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 2.2184475607347425,
|
| 2639 |
+
"grad_norm": 0.1064453125,
|
| 2640 |
+
"learning_rate": 3.271878232053025e-05,
|
| 2641 |
+
"loss": 0.0802,
|
| 2642 |
+
"step": 351
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 2.224767924155639,
|
| 2646 |
+
"grad_norm": 0.1005859375,
|
| 2647 |
+
"learning_rate": 3.2219424815343735e-05,
|
| 2648 |
+
"loss": 0.0598,
|
| 2649 |
+
"step": 352
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 2.224767924155639,
|
| 2653 |
+
"eval_loss": 0.12026113271713257,
|
| 2654 |
+
"eval_runtime": 59.3025,
|
| 2655 |
+
"eval_samples_per_second": 17.976,
|
| 2656 |
+
"eval_steps_per_second": 17.976,
|
| 2657 |
+
"step": 352
|
| 2658 |
+
},
|
| 2659 |
+
{
|
| 2660 |
+
"epoch": 2.2310882875765357,
|
| 2661 |
+
"grad_norm": 0.1083984375,
|
| 2662 |
+
"learning_rate": 3.172317449704216e-05,
|
| 2663 |
+
"loss": 0.0664,
|
| 2664 |
+
"step": 353
|
| 2665 |
+
},
|
| 2666 |
+
{
|
| 2667 |
+
"epoch": 2.2374086509974322,
|
| 2668 |
+
"grad_norm": 0.09619140625,
|
| 2669 |
+
"learning_rate": 3.123005411465766e-05,
|
| 2670 |
+
"loss": 0.0519,
|
| 2671 |
+
"step": 354
|
| 2672 |
+
},
|
| 2673 |
+
{
|
| 2674 |
+
"epoch": 2.243729014418329,
|
| 2675 |
+
"grad_norm": 0.10986328125,
|
| 2676 |
+
"learning_rate": 3.0740086273740295e-05,
|
| 2677 |
+
"loss": 0.0685,
|
| 2678 |
+
"step": 355
|
| 2679 |
+
},
|
| 2680 |
+
{
|
| 2681 |
+
"epoch": 2.250049377839226,
|
| 2682 |
+
"grad_norm": 0.09912109375,
|
| 2683 |
+
"learning_rate": 3.0253293435321793e-05,
|
| 2684 |
+
"loss": 0.0597,
|
| 2685 |
+
"step": 356
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 2.2563697412601225,
|
| 2689 |
+
"grad_norm": 0.107421875,
|
| 2690 |
+
"learning_rate": 2.9769697914885862e-05,
|
| 2691 |
+
"loss": 0.0543,
|
| 2692 |
+
"step": 357
|
| 2693 |
+
},
|
| 2694 |
+
{
|
| 2695 |
+
"epoch": 2.262690104681019,
|
| 2696 |
+
"grad_norm": 0.1123046875,
|
| 2697 |
+
"learning_rate": 2.9289321881345254e-05,
|
| 2698 |
+
"loss": 0.0827,
|
| 2699 |
+
"step": 358
|
| 2700 |
+
},
|
| 2701 |
+
{
|
| 2702 |
+
"epoch": 2.269010468101916,
|
| 2703 |
+
"grad_norm": 0.10791015625,
|
| 2704 |
+
"learning_rate": 2.881218735602553e-05,
|
| 2705 |
+
"loss": 0.0663,
|
| 2706 |
+
"step": 359
|
| 2707 |
+
},
|
| 2708 |
+
{
|
| 2709 |
+
"epoch": 2.2753308315228127,
|
| 2710 |
+
"grad_norm": 0.109375,
|
| 2711 |
+
"learning_rate": 2.8338316211655536e-05,
|
| 2712 |
+
"loss": 0.0665,
|
| 2713 |
+
"step": 360
|
| 2714 |
+
},
|
| 2715 |
+
{
|
| 2716 |
+
"epoch": 2.2816511949437093,
|
| 2717 |
+
"grad_norm": 0.10205078125,
|
| 2718 |
+
"learning_rate": 2.7867730171364624e-05,
|
| 2719 |
+
"loss": 0.0671,
|
| 2720 |
+
"step": 361
|
| 2721 |
+
},
|
| 2722 |
+
{
|
| 2723 |
+
"epoch": 2.287971558364606,
|
| 2724 |
+
"grad_norm": 0.1015625,
|
| 2725 |
+
"learning_rate": 2.7400450807686938e-05,
|
| 2726 |
+
"loss": 0.0564,
|
| 2727 |
+
"step": 362
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 2.2942919217855025,
|
| 2731 |
+
"grad_norm": 0.09814453125,
|
| 2732 |
+
"learning_rate": 2.6936499541572445e-05,
|
| 2733 |
+
"loss": 0.058,
|
| 2734 |
+
"step": 363
|
| 2735 |
+
},
|
| 2736 |
+
{
|
| 2737 |
+
"epoch": 2.3006122852063995,
|
| 2738 |
+
"grad_norm": 0.09814453125,
|
| 2739 |
+
"learning_rate": 2.647589764140499e-05,
|
| 2740 |
+
"loss": 0.0643,
|
| 2741 |
+
"step": 364
|
| 2742 |
+
},
|
| 2743 |
+
{
|
| 2744 |
+
"epoch": 2.306932648627296,
|
| 2745 |
+
"grad_norm": 0.1044921875,
|
| 2746 |
+
"learning_rate": 2.60186662220273e-05,
|
| 2747 |
+
"loss": 0.0642,
|
| 2748 |
+
"step": 365
|
| 2749 |
+
},
|
| 2750 |
+
{
|
| 2751 |
+
"epoch": 2.3132530120481927,
|
| 2752 |
+
"grad_norm": 0.09765625,
|
| 2753 |
+
"learning_rate": 2.5564826243772966e-05,
|
| 2754 |
+
"loss": 0.0612,
|
| 2755 |
+
"step": 366
|
| 2756 |
+
},
|
| 2757 |
+
{
|
| 2758 |
+
"epoch": 2.3195733754690897,
|
| 2759 |
+
"grad_norm": 0.10791015625,
|
| 2760 |
+
"learning_rate": 2.5114398511505734e-05,
|
| 2761 |
+
"loss": 0.0729,
|
| 2762 |
+
"step": 367
|
| 2763 |
+
},
|
| 2764 |
+
{
|
| 2765 |
+
"epoch": 2.3258937388899863,
|
| 2766 |
+
"grad_norm": 0.10546875,
|
| 2767 |
+
"learning_rate": 2.4667403673665623e-05,
|
| 2768 |
+
"loss": 0.0704,
|
| 2769 |
+
"step": 368
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 2.3258937388899863,
|
| 2773 |
+
"eval_loss": 0.11980412155389786,
|
| 2774 |
+
"eval_runtime": 58.0487,
|
| 2775 |
+
"eval_samples_per_second": 18.364,
|
| 2776 |
+
"eval_steps_per_second": 18.364,
|
| 2777 |
+
"step": 368
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"epoch": 2.332214102310883,
|
| 2781 |
+
"grad_norm": 0.09326171875,
|
| 2782 |
+
"learning_rate": 2.4223862221322424e-05,
|
| 2783 |
+
"loss": 0.0616,
|
| 2784 |
+
"step": 369
|
| 2785 |
+
},
|
| 2786 |
+
{
|
| 2787 |
+
"epoch": 2.3385344657317795,
|
| 2788 |
+
"grad_norm": 0.111328125,
|
| 2789 |
+
"learning_rate": 2.3783794487236365e-05,
|
| 2790 |
+
"loss": 0.0584,
|
| 2791 |
+
"step": 370
|
| 2792 |
+
},
|
| 2793 |
+
{
|
| 2794 |
+
"epoch": 2.344854829152676,
|
| 2795 |
+
"grad_norm": 0.10986328125,
|
| 2796 |
+
"learning_rate": 2.3347220644926028e-05,
|
| 2797 |
+
"loss": 0.0618,
|
| 2798 |
+
"step": 371
|
| 2799 |
+
},
|
| 2800 |
+
{
|
| 2801 |
+
"epoch": 2.351175192573573,
|
| 2802 |
+
"grad_norm": 0.10986328125,
|
| 2803 |
+
"learning_rate": 2.2914160707743538e-05,
|
| 2804 |
+
"loss": 0.0775,
|
| 2805 |
+
"step": 372
|
| 2806 |
+
},
|
| 2807 |
+
{
|
| 2808 |
+
"epoch": 2.3574955559944697,
|
| 2809 |
+
"grad_norm": 0.09375,
|
| 2810 |
+
"learning_rate": 2.248463452795705e-05,
|
| 2811 |
+
"loss": 0.0481,
|
| 2812 |
+
"step": 373
|
| 2813 |
+
},
|
| 2814 |
+
{
|
| 2815 |
+
"epoch": 2.3638159194153663,
|
| 2816 |
+
"grad_norm": 0.11376953125,
|
| 2817 |
+
"learning_rate": 2.205866179584084e-05,
|
| 2818 |
+
"loss": 0.0654,
|
| 2819 |
+
"step": 374
|
| 2820 |
+
},
|
| 2821 |
+
{
|
| 2822 |
+
"epoch": 2.3701362828362633,
|
| 2823 |
+
"grad_norm": 0.10693359375,
|
| 2824 |
+
"learning_rate": 2.1636262038772504e-05,
|
| 2825 |
+
"loss": 0.0733,
|
| 2826 |
+
"step": 375
|
| 2827 |
+
},
|
| 2828 |
+
{
|
| 2829 |
+
"epoch": 2.37645664625716,
|
| 2830 |
+
"grad_norm": 0.103515625,
|
| 2831 |
+
"learning_rate": 2.121745462033784e-05,
|
| 2832 |
+
"loss": 0.0737,
|
| 2833 |
+
"step": 376
|
| 2834 |
+
},
|
| 2835 |
+
{
|
| 2836 |
+
"epoch": 2.3827770096780565,
|
| 2837 |
+
"grad_norm": 0.10888671875,
|
| 2838 |
+
"learning_rate": 2.080225873944328e-05,
|
| 2839 |
+
"loss": 0.0506,
|
| 2840 |
+
"step": 377
|
| 2841 |
+
},
|
| 2842 |
+
{
|
| 2843 |
+
"epoch": 2.389097373098953,
|
| 2844 |
+
"grad_norm": 0.10693359375,
|
| 2845 |
+
"learning_rate": 2.0390693429435627e-05,
|
| 2846 |
+
"loss": 0.0737,
|
| 2847 |
+
"step": 378
|
| 2848 |
+
},
|
| 2849 |
+
{
|
| 2850 |
+
"epoch": 2.3954177365198497,
|
| 2851 |
+
"grad_norm": 0.099609375,
|
| 2852 |
+
"learning_rate": 1.998277755722965e-05,
|
| 2853 |
+
"loss": 0.0542,
|
| 2854 |
+
"step": 379
|
| 2855 |
+
},
|
| 2856 |
+
{
|
| 2857 |
+
"epoch": 2.4017380999407467,
|
| 2858 |
+
"grad_norm": 0.0966796875,
|
| 2859 |
+
"learning_rate": 1.957852982244309e-05,
|
| 2860 |
+
"loss": 0.0603,
|
| 2861 |
+
"step": 380
|
| 2862 |
+
},
|
| 2863 |
+
{
|
| 2864 |
+
"epoch": 2.4080584633616433,
|
| 2865 |
+
"grad_norm": 0.10546875,
|
| 2866 |
+
"learning_rate": 1.9177968756539567e-05,
|
| 2867 |
+
"loss": 0.0624,
|
| 2868 |
+
"step": 381
|
| 2869 |
+
},
|
| 2870 |
+
{
|
| 2871 |
+
"epoch": 2.41437882678254,
|
| 2872 |
+
"grad_norm": 0.13671875,
|
| 2873 |
+
"learning_rate": 1.87811127219789e-05,
|
| 2874 |
+
"loss": 0.0809,
|
| 2875 |
+
"step": 382
|
| 2876 |
+
},
|
| 2877 |
+
{
|
| 2878 |
+
"epoch": 2.420699190203437,
|
| 2879 |
+
"grad_norm": 0.10693359375,
|
| 2880 |
+
"learning_rate": 1.838797991137543e-05,
|
| 2881 |
+
"loss": 0.068,
|
| 2882 |
+
"step": 383
|
| 2883 |
+
},
|
| 2884 |
+
{
|
| 2885 |
+
"epoch": 2.4270195536243335,
|
| 2886 |
+
"grad_norm": 0.109375,
|
| 2887 |
+
"learning_rate": 1.7998588346664115e-05,
|
| 2888 |
+
"loss": 0.0787,
|
| 2889 |
+
"step": 384
|
| 2890 |
+
},
|
| 2891 |
+
{
|
| 2892 |
+
"epoch": 2.4270195536243335,
|
| 2893 |
+
"eval_loss": 0.11915146559476852,
|
| 2894 |
+
"eval_runtime": 58.9409,
|
| 2895 |
+
"eval_samples_per_second": 18.086,
|
| 2896 |
+
"eval_steps_per_second": 18.086,
|
| 2897 |
+
"step": 384
|
| 2898 |
+
},
|
| 2899 |
+
{
|
| 2900 |
+
"epoch": 2.43333991704523,
|
| 2901 |
+
"grad_norm": 0.109375,
|
| 2902 |
+
"learning_rate": 1.761295587827416e-05,
|
| 2903 |
+
"loss": 0.064,
|
| 2904 |
+
"step": 385
|
| 2905 |
+
},
|
| 2906 |
+
{
|
| 2907 |
+
"epoch": 2.4396602804661267,
|
| 2908 |
+
"grad_norm": 0.1083984375,
|
| 2909 |
+
"learning_rate": 1.7231100184310956e-05,
|
| 2910 |
+
"loss": 0.067,
|
| 2911 |
+
"step": 386
|
| 2912 |
+
},
|
| 2913 |
+
{
|
| 2914 |
+
"epoch": 2.4459806438870233,
|
| 2915 |
+
"grad_norm": 0.09814453125,
|
| 2916 |
+
"learning_rate": 1.6853038769745467e-05,
|
| 2917 |
+
"loss": 0.0582,
|
| 2918 |
+
"step": 387
|
| 2919 |
+
},
|
| 2920 |
+
{
|
| 2921 |
+
"epoch": 2.4523010073079203,
|
| 2922 |
+
"grad_norm": 0.099609375,
|
| 2923 |
+
"learning_rate": 1.6478788965611993e-05,
|
| 2924 |
+
"loss": 0.0672,
|
| 2925 |
+
"step": 388
|
| 2926 |
+
},
|
| 2927 |
+
{
|
| 2928 |
+
"epoch": 2.458621370728817,
|
| 2929 |
+
"grad_norm": 0.0986328125,
|
| 2930 |
+
"learning_rate": 1.6108367928213476e-05,
|
| 2931 |
+
"loss": 0.0514,
|
| 2932 |
+
"step": 389
|
| 2933 |
+
},
|
| 2934 |
+
{
|
| 2935 |
+
"epoch": 2.4649417341497135,
|
| 2936 |
+
"grad_norm": 0.09375,
|
| 2937 |
+
"learning_rate": 1.5741792638335095e-05,
|
| 2938 |
+
"loss": 0.0551,
|
| 2939 |
+
"step": 390
|
| 2940 |
+
},
|
| 2941 |
+
{
|
| 2942 |
+
"epoch": 2.4712620975706105,
|
| 2943 |
+
"grad_norm": 0.09619140625,
|
| 2944 |
+
"learning_rate": 1.5379079900465953e-05,
|
| 2945 |
+
"loss": 0.0482,
|
| 2946 |
+
"step": 391
|
| 2947 |
+
},
|
| 2948 |
+
{
|
| 2949 |
+
"epoch": 2.477582460991507,
|
| 2950 |
+
"grad_norm": 0.1083984375,
|
| 2951 |
+
"learning_rate": 1.502024634202851e-05,
|
| 2952 |
+
"loss": 0.0622,
|
| 2953 |
+
"step": 392
|
| 2954 |
+
},
|
| 2955 |
+
{
|
| 2956 |
+
"epoch": 2.4839028244124037,
|
| 2957 |
+
"grad_norm": 0.0947265625,
|
| 2958 |
+
"learning_rate": 1.4665308412616596e-05,
|
| 2959 |
+
"loss": 0.0605,
|
| 2960 |
+
"step": 393
|
| 2961 |
+
},
|
| 2962 |
+
{
|
| 2963 |
+
"epoch": 2.4902231878333003,
|
| 2964 |
+
"grad_norm": 0.1005859375,
|
| 2965 |
+
"learning_rate": 1.4314282383241096e-05,
|
| 2966 |
+
"loss": 0.0622,
|
| 2967 |
+
"step": 394
|
| 2968 |
+
},
|
| 2969 |
+
{
|
| 2970 |
+
"epoch": 2.496543551254197,
|
| 2971 |
+
"grad_norm": 0.10107421875,
|
| 2972 |
+
"learning_rate": 1.3967184345584173e-05,
|
| 2973 |
+
"loss": 0.0605,
|
| 2974 |
+
"step": 395
|
| 2975 |
+
}
|
| 2976 |
+
],
|
| 2977 |
+
"logging_steps": 1,
|
| 2978 |
+
"max_steps": 474,
|
| 2979 |
+
"num_input_tokens_seen": 0,
|
| 2980 |
+
"num_train_epochs": 3,
|
| 2981 |
+
"save_steps": 79,
|
| 2982 |
+
"stateful_callbacks": {
|
| 2983 |
+
"TrainerControl": {
|
| 2984 |
+
"args": {
|
| 2985 |
+
"should_epoch_stop": false,
|
| 2986 |
+
"should_evaluate": false,
|
| 2987 |
+
"should_log": false,
|
| 2988 |
+
"should_save": true,
|
| 2989 |
+
"should_training_stop": false
|
| 2990 |
+
},
|
| 2991 |
+
"attributes": {}
|
| 2992 |
+
}
|
| 2993 |
+
},
|
| 2994 |
+
"total_flos": 6.92788670068949e+17,
|
| 2995 |
+
"train_batch_size": 1,
|
| 2996 |
+
"trial_name": null,
|
| 2997 |
+
"trial_params": null
|
| 2998 |
+
}
|
checkpoint-395/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a42e672d0e98a9d5136262dff4f57ed4188e95ecf91a7d717efb480df19275c
|
| 3 |
+
size 6072
|
checkpoint-474/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/CodeQwen1.5-7B-Chat
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.11.1
|
checkpoint-474/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/CodeQwen1.5-7B-Chat",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 128,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"down_proj",
|
| 25 |
+
"o_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"up_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|