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RayenLLM
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bert-practice-classifier

Text Classification
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distilbert
Generated from Trainer
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End of training

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Mar13_02-24-57_78834890537e/events.out.tfevents.1741832744.78834890537e.1616.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,10 +19,10 @@ 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: 0.5696
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- - Accuracy: 0.69
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- - Auc: 0.714
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- - Precision: 0.722
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  ## Model description
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:---------:|
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- | 0.6689 | 1.0 | 21 | 0.6720 | 0.571 | 0.676 | 0.72 |
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- | 0.6684 | 2.0 | 42 | 0.5909 | 0.69 | 0.719 | 0.69 |
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- | 0.6279 | 3.0 | 63 | 0.6067 | 0.714 | 0.711 | 0.718 |
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- | 0.619 | 4.0 | 84 | 0.5969 | 0.714 | 0.711 | 0.73 |
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- | 0.6055 | 5.0 | 105 | 0.5809 | 0.714 | 0.708 | 0.718 |
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- | 0.5821 | 6.0 | 126 | 0.5729 | 0.714 | 0.714 | 0.718 |
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- | 0.5762 | 7.0 | 147 | 0.5921 | 0.667 | 0.708 | 0.727 |
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- | 0.5604 | 8.0 | 168 | 0.5659 | 0.714 | 0.716 | 0.73 |
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- | 0.5705 | 9.0 | 189 | 0.5659 | 0.69 | 0.714 | 0.722 |
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- | 0.571 | 10.0 | 210 | 0.5696 | 0.69 | 0.714 | 0.722 |
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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: 0.5532
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+ - Accuracy: 0.762
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+ - Auc: 0.662
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+ - Precision: 0.789
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:---------:|
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+ | 0.6737 | 1.0 | 21 | 0.6780 | 0.571 | 0.625 | 0.818 |
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+ | 0.673 | 2.0 | 42 | 0.5509 | 0.762 | 0.688 | 0.762 |
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+ | 0.6283 | 3.0 | 63 | 0.5884 | 0.714 | 0.65 | 0.75 |
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+ | 0.621 | 4.0 | 84 | 0.5868 | 0.762 | 0.65 | 0.789 |
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+ | 0.6016 | 5.0 | 105 | 0.5632 | 0.762 | 0.65 | 0.789 |
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+ | 0.5837 | 6.0 | 126 | 0.5434 | 0.714 | 0.662 | 0.75 |
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+ | 0.5671 | 7.0 | 147 | 0.5921 | 0.667 | 0.662 | 0.765 |
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+ | 0.5686 | 8.0 | 168 | 0.5448 | 0.762 | 0.675 | 0.789 |
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+ | 0.5659 | 9.0 | 189 | 0.5459 | 0.762 | 0.662 | 0.789 |
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+ | 0.5747 | 10.0 | 210 | 0.5532 | 0.762 | 0.662 | 0.789 |
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  ### Framework versions
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