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Text Classification
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Safetensors
distilbert
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Mar22_23-23-36_82585ee6d668/events.out.tfevents.1711155330.82585ee6d668.199.27 +3 -0
  4. runs/Mar22_23-23-36_82585ee6d668/events.out.tfevents.1711160206.82585ee6d668.199.28 +3 -0
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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6698
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- - Precision: 0.7712
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- - Recall: 0.7675
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- - F1: 0.7666
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- - Accuracy: 0.7675
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  ## Model description
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@@ -55,13 +55,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 1.5988 | 1.07 | 30 | 1.4178 | 0.5664 | 0.5546 | 0.5376 | 0.5546 |
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- | 1.2041 | 2.14 | 60 | 1.0819 | 0.7207 | 0.7115 | 0.7044 | 0.7115 |
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- | 0.9136 | 3.21 | 90 | 0.9019 | 0.7333 | 0.7283 | 0.7247 | 0.7283 |
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- | 0.7129 | 4.29 | 120 | 0.7956 | 0.7549 | 0.7479 | 0.7443 | 0.7479 |
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- | 0.5666 | 5.36 | 150 | 0.7209 | 0.7689 | 0.7647 | 0.7626 | 0.7647 |
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- | 0.4664 | 6.43 | 180 | 0.6858 | 0.7697 | 0.7647 | 0.7634 | 0.7647 |
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- | 0.4267 | 7.5 | 210 | 0.6698 | 0.7712 | 0.7675 | 0.7666 | 0.7675 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6940
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+ - Precision: 0.7930
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+ - Recall: 0.7871
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+ - F1: 0.7867
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+ - Accuracy: 0.7871
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.3386 | 1.07 | 30 | 0.6489 | 0.7405 | 0.7395 | 0.7358 | 0.7395 |
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+ | 0.2218 | 2.14 | 60 | 0.6254 | 0.7593 | 0.7591 | 0.7570 | 0.7591 |
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+ | 0.1485 | 3.21 | 90 | 0.6242 | 0.7842 | 0.7815 | 0.7801 | 0.7815 |
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+ | 0.0913 | 4.29 | 120 | 0.6697 | 0.7739 | 0.7703 | 0.7693 | 0.7703 |
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+ | 0.0646 | 5.36 | 150 | 0.6619 | 0.7893 | 0.7871 | 0.7862 | 0.7871 |
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+ | 0.0484 | 6.43 | 180 | 0.7026 | 0.8078 | 0.8011 | 0.7998 | 0.8011 |
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+ | 0.0423 | 7.5 | 210 | 0.6913 | 0.7904 | 0.7871 | 0.7864 | 0.7871 |
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  ### Framework versions
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