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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-large-mnli |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-classifier_batch16_3dataset |
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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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# roberta-classifier_batch16_3dataset |
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This model is a fine-tuned version of [microsoft/deberta-large-mnli](https://huggingface.co/microsoft/deberta-large-mnli) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.6920 |
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- eval_Accuracy: 0.525 |
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- eval_AUC: 0.498 |
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- eval_runtime: 78.0994 |
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- eval_samples_per_second: 37.004 |
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- eval_steps_per_second: 2.318 |
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- epoch: 3.0 |
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- step: 2169 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.1 |
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