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deepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-cwe-group-detection

Text Classification
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End of training

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  1. README.md +9 -9
  2. model-00001-of-00002.safetensors +1 -1
  3. model-00002-of-00002.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5587
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- - Accuracy: 0.7659
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- - F1: 0.7659
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- - Precision: 0.7659
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- - Recall: 0.7659
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 462 | 0.4717 | 0.7772 | 0.7772 | 0.7772 | 0.7772 |
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- | 0.5768 | 2.0 | 924 | 0.4683 | 0.7681 | 0.7681 | 0.7681 | 0.7681 |
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- | 0.3029 | 3.0 | 1386 | 0.5587 | 0.7659 | 0.7659 | 0.7659 | 0.7659 |
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  ### Framework versions
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  - Transformers 4.37.0
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5777
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+ - Accuracy: 0.7586
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+ - F1: 0.7499
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+ - Precision: 0.7513
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+ - Recall: 0.7586
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 462 | 0.4832 | 0.7743 | 0.7594 | 0.7720 | 0.7743 |
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+ | 0.5829 | 2.0 | 924 | 0.4705 | 0.7788 | 0.7700 | 0.7737 | 0.7788 |
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+ | 0.3078 | 3.0 | 1386 | 0.5777 | 0.7586 | 0.7499 | 0.7513 | 0.7586 |
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  ### Framework versions
 
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  - Transformers 4.37.0
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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