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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/deberta-v3-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: deberta-v3-base-problematic-classifier-nd |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# deberta-v3-base-problematic-classifier-nd |
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3997 |
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- Accuracy: 0.92 |
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- Auc: 0.971 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 9e-05 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:| |
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| 0.6785 | 1.0 | 132 | 0.6606 | 0.52 | 0.952 | |
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| 0.6426 | 2.0 | 264 | 0.6145 | 0.893 | 0.957 | |
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| 0.6033 | 3.0 | 396 | 0.5976 | 0.582 | 0.957 | |
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| 0.5587 | 4.0 | 528 | 0.5358 | 0.747 | 0.961 | |
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| 0.5397 | 5.0 | 660 | 0.4824 | 0.907 | 0.965 | |
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| 0.496 | 6.0 | 792 | 0.4506 | 0.911 | 0.968 | |
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| 0.456 | 7.0 | 924 | 0.4263 | 0.911 | 0.97 | |
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| 0.4502 | 8.0 | 1056 | 0.4118 | 0.916 | 0.97 | |
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| 0.438 | 9.0 | 1188 | 0.4060 | 0.911 | 0.971 | |
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| 0.4215 | 10.0 | 1320 | 0.3997 | 0.92 | 0.971 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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