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answerdotai-ModernBERT-base_finetuned_augmented_augmented_deepseek

Text Classification
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modernbert
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End of training

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  1. README.md +12 -25
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4110
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  - Accuracy: 0.8824
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  - F1: 0.9231
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  - Precision: 0.9231
@@ -56,30 +56,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.9208 | 1.0 | 23 | 1.6446 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 1.0129 | 2.0 | 46 | 0.9222 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.3056 | 3.0 | 69 | 1.3789 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.5577 | 4.0 | 92 | 0.7717 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.5497 | 5.0 | 115 | 1.4854 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.3363 | 6.0 | 138 | 1.3872 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.324 | 7.0 | 161 | 1.0372 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.2446 | 8.0 | 184 | 1.1129 | 0.8 | 0.875 | 0.7778 | 1.0 |
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- | 0.4109 | 9.0 | 207 | 1.6425 | 0.8 | 0.875 | 0.7778 | 1.0 |
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- | 0.0402 | 10.0 | 230 | 3.2410 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.0223 | 11.0 | 253 | 3.3536 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.0069 | 12.0 | 276 | 2.7193 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.006 | 13.0 | 299 | 2.9932 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.0007 | 14.0 | 322 | 4.2592 | 0.7 | 0.8235 | 0.7 | 1.0 |
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- | 0.0 | 15.0 | 345 | 2.3742 | 0.8 | 0.875 | 0.7778 | 1.0 |
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- | 0.0 | 16.0 | 368 | 1.8946 | 0.9 | 0.9333 | 0.875 | 1.0 |
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- | 0.0 | 17.0 | 391 | 2.0139 | 0.9 | 0.9333 | 0.875 | 1.0 |
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- | 0.0 | 18.0 | 414 | 2.0556 | 0.9 | 0.9333 | 0.875 | 1.0 |
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- | 0.0 | 19.0 | 437 | 2.0760 | 0.9 | 0.9333 | 0.875 | 1.0 |
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- | 0.0 | 20.0 | 460 | 2.0880 | 0.9 | 0.9333 | 0.875 | 1.0 |
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- | 0.0 | 21.0 | 483 | 2.0950 | 0.8 | 0.875 | 0.7778 | 1.0 |
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- | 0.0 | 22.0 | 506 | 2.0962 | 0.8 | 0.875 | 0.7778 | 1.0 |
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- | 0.0 | 23.0 | 529 | 2.1062 | 0.8 | 0.875 | 0.7778 | 1.0 |
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- | 0.0 | 24.0 | 552 | 2.1073 | 0.8 | 0.875 | 0.7778 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3360
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  - Accuracy: 0.8824
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  - F1: 0.9231
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  - Precision: 0.9231
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6891 | 1.0 | 46 | 0.9745 | 0.7 | 0.8235 | 0.7 | 1.0 |
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+ | 0.5473 | 2.0 | 92 | 0.5183 | 0.7 | 0.8235 | 0.7 | 1.0 |
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+ | 0.3445 | 3.0 | 138 | 0.3540 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.1769 | 4.0 | 184 | 0.5051 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0387 | 5.0 | 230 | 0.6412 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0116 | 6.0 | 276 | 0.2695 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0005 | 7.0 | 322 | 0.8522 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0 | 8.0 | 368 | 0.5587 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0 | 9.0 | 414 | 0.5669 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0 | 10.0 | 460 | 0.5103 | 0.9 | 0.9333 | 0.875 | 1.0 |
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+ | 0.0 | 11.0 | 506 | 0.5969 | 0.9 | 0.9333 | 0.875 | 1.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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