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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-large-fever |
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results: [] |
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datasets: |
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- copenlu/fever_gold_evidence |
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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-large-fever |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.5332 |
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- eval_p: 0.8833 |
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- eval_r: 0.8829 |
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- eval_f1: 0.8819 |
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- eval_runtime: 135.6209 |
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- eval_samples_per_second: 138.659 |
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- eval_steps_per_second: 17.335 |
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- step: 0 |
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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: 1e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 4 |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.6.1 |
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- Tokenizers 0.12.1 |
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