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distilbert-base-cased-document-casual

Text Classification
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distilbert
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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Feb24_18-50-43_instance-1/events.out.tfevents.1708800644.instance-1.503226.0 +3 -0
  4. runs/Feb24_18-50-43_instance-1/events.out.tfevents.1708800675.instance-1.503226.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ 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: 0.2547
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- - F1-score: 0.9333
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  ## Model description
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@@ -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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- | 0.1575 | 0.97 | 15 | 0.5607 | 0.7342 |
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- | 0.0562 | 2.0 | 31 | 0.2547 | 0.9333 |
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- | 0.0218 | 2.97 | 46 | 0.2860 | 0.9033 |
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- | 0.0032 | 4.0 | 62 | 0.3508 | 0.9033 |
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- | 0.0024 | 4.84 | 75 | 0.3686 | 0.9033 |
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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: 0.2732
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+ - F1-score: 0.9033
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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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+ | 0.1376 | 0.97 | 15 | 0.6716 | 0.7342 |
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+ | 0.0517 | 2.0 | 31 | 0.3222 | 0.9350 |
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+ | 0.0075 | 2.97 | 46 | 0.2732 | 0.9033 |
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+ | 0.0032 | 4.0 | 62 | 0.2932 | 0.9033 |
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+ | 0.0024 | 4.84 | 75 | 0.2914 | 0.9033 |
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  ### Framework versions
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