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distilbert-base-cased-document-casual

Text Classification
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distilbert
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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Feb12_14-26-17_instance-1/events.out.tfevents.1707747978.instance-1.2507550.0 +3 -0
  4. runs/Feb12_14-26-17_instance-1/events.out.tfevents.1707748012.instance-1.2507550.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0037
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  - F1-score: 1.0
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  ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.3233 | 0.95 | 14 | 0.4549 | 0.8246 |
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- | 0.0426 | 1.97 | 29 | 0.1373 | 0.9660 |
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- | 0.0211 | 2.98 | 44 | 0.1509 | 0.9327 |
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- | 0.0031 | 4.0 | 59 | 0.0050 | 1.0 |
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- | 0.0026 | 4.75 | 70 | 0.0037 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0060
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  - F1-score: 1.0
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.2404 | 0.95 | 14 | 0.5744 | 0.7851 |
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+ | 0.0331 | 1.97 | 29 | 0.3385 | 0.9284 |
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+ | 0.0252 | 2.98 | 44 | 0.0175 | 1.0 |
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+ | 0.0027 | 4.0 | 59 | 0.0061 | 1.0 |
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+ | 0.0023 | 4.75 | 70 | 0.0060 | 1.0 |
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  ### Framework versions
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