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RayenLLM
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bert-practice-classifier

Text Classification
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distilbert
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End of training

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  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. runs/Mar13_03-03-25_78834890537e/events.out.tfevents.1741835019.78834890537e.1616.2 +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: 0.5532
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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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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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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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  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: 0.5419
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+ - Accuracy: 0.524
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+ - Auc: 0.65
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+ - Precision: 0.714
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 5
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+ - eval_batch_size: 5
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:---------:|
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+ | 0.5815 | 1.0 | 34 | 0.6348 | 0.619 | 0.688 | 0.9 |
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+ | 0.5744 | 2.0 | 68 | 0.5624 | 0.667 | 0.688 | 0.765 |
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+ | 0.5532 | 3.0 | 102 | 0.5057 | 0.762 | 0.688 | 0.789 |
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+ | 0.563 | 4.0 | 136 | 0.5677 | 0.571 | 0.688 | 0.769 |
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+ | 0.514 | 5.0 | 170 | 0.5423 | 0.667 | 0.662 | 0.765 |
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+ | 0.5349 | 6.0 | 204 | 0.5564 | 0.571 | 0.65 | 0.769 |
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+ | 0.5298 | 7.0 | 238 | 0.5672 | 0.571 | 0.65 | 0.769 |
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+ | 0.4964 | 8.0 | 272 | 0.5173 | 0.667 | 0.65 | 0.765 |
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+ | 0.5083 | 9.0 | 306 | 0.5435 | 0.571 | 0.65 | 0.769 |
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+ | 0.4908 | 10.0 | 340 | 0.5419 | 0.524 | 0.65 | 0.714 |
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  ### Framework versions
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