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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 |
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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 |
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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: 0.3965 |
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- Accuracy: 0.878 |
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- Auc: 0.949 |
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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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| 0.6782 | 1.0 | 263 | 0.6769 | 0.509 | 0.914 | |
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| 0.6296 | 2.0 | 526 | 0.5905 | 0.822 | 0.904 | |
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| 0.587 | 3.0 | 789 | 0.5380 | 0.829 | 0.919 | |
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| 0.5433 | 4.0 | 1052 | 0.5017 | 0.82 | 0.932 | |
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| 0.4995 | 5.0 | 1315 | 0.4558 | 0.842 | 0.941 | |
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| 0.4887 | 6.0 | 1578 | 0.4269 | 0.887 | 0.942 | |
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| 0.4638 | 7.0 | 1841 | 0.4143 | 0.867 | 0.944 | |
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| 0.4436 | 8.0 | 2104 | 0.3969 | 0.898 | 0.948 | |
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| 0.4387 | 9.0 | 2367 | 0.4003 | 0.873 | 0.948 | |
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| 0.434 | 10.0 | 2630 | 0.3965 | 0.878 | 0.949 | |
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### Framework versions |
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- Transformers 4.50.0.dev0 |
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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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