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RayenLLM
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bert-practice-classifier

Text Classification
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Safetensors
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_01-15-53_78834890537e/events.out.tfevents.1741828563.78834890537e.1616.0 +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: 0.7214
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- - Accuracy: 0.5
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- - Auc: 0.4
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- - Precision: 0.4
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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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- | 0.6971 | 1.0 | 4 | 0.7290 | 0.375 | 0.333 | 0.375 |
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- | 0.6874 | 2.0 | 8 | 0.7125 | 0.375 | 0.467 | 0.375 |
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- | 0.6912 | 3.0 | 12 | 0.7047 | 0.5 | 0.4 | 0.4 |
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- | 0.6912 | 4.0 | 16 | 0.7034 | 0.5 | 0.4 | 0.333 |
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- | 0.6874 | 5.0 | 20 | 0.6963 | 0.375 | 0.467 | 0.0 |
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- | 0.6716 | 6.0 | 24 | 0.7005 | 0.375 | 0.4 | 0.0 |
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- | 0.6842 | 7.0 | 28 | 0.7035 | 0.375 | 0.333 | 0.0 |
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- | 0.6583 | 8.0 | 32 | 0.7124 | 0.5 | 0.4 | 0.333 |
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- | 0.6818 | 9.0 | 36 | 0.7187 | 0.375 | 0.4 | 0.25 |
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- | 0.6501 | 10.0 | 40 | 0.7214 | 0.5 | 0.4 | 0.4 |
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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: 0.5696
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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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  | 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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