| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: BioNLP-intro-disc-tech-decoder-PLOS |
| 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. --> |
|
|
| # BioNLP-intro-disc-tech-decoder-PLOS |
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| This model was trained from scratch on an unknown dataset. |
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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: |
| - learning_rate: 1.3739167643078955e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
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| |
| ### Framework versions |
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| - Transformers 4.35.2 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.2 |
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