update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
 datasets:
@@ -7,7 +8,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: whisper-tiny-en
+- name: whisper-tiny-En
   results:
   - task:
       name: Automatic Speech Recognition
@@ -16,7 +17,7 @@ model-index:
       name: PolyAI/minds14
       type: PolyAI/minds14
       config: en-US
-      split: train[450:]
+      split: train
       args: en-US
     metrics:
     - name: Wer
@@ -27,13 +28,13 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# whisper-tiny-en
+# whisper-tiny-En
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0007
-- Wer Ortho: 0.3479333744602097
-- Wer:  0.3447461629279811
+- Loss: 0.6448
+- Wer Ortho: 0.3479
+- Wer: 0.3447
 
 ## Model description
 
@@ -53,11 +54,9 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 4
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
@@ -67,8 +66,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0007         | 17.86  | 500   | 0.6448453664779663          | 0.3479333744602097    | 0.3447461629279811 |
-
+| 0.0007        | 17.86 | 500  | 0.6448          | 0.3479    | 0.3447 |
 
 
 ### Framework versions