| --- |
| library_name: transformers |
| license: mit |
| base_model: microsoft/deberta-large-mnli |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: roberta-classifier_batch16_3dataset |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # roberta-classifier_batch16_3dataset |
|
|
| This model is a fine-tuned version of [microsoft/deberta-large-mnli](https://huggingface.co/microsoft/deberta-large-mnli) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.6920 |
| - eval_Accuracy: 0.525 |
| - eval_AUC: 0.498 |
| - eval_runtime: 78.0994 |
| - eval_samples_per_second: 37.004 |
| - eval_steps_per_second: 2.318 |
| - epoch: 3.0 |
| - step: 2169 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Framework versions |
|
|
| - Transformers 4.52.4 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.14.4 |
| - Tokenizers 0.21.1 |
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|
