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--- |
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license: apache-2.0 |
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base_model: GanjinZero/biobart-v2-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: 20231130_BioBart-Base_5ep_Summ |
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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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# 20231130_BioBart-Base_5ep_Summ |
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This model is a fine-tuned version of [GanjinZero/biobart-v2-large](https://huggingface.co/GanjinZero/biobart-v2-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7539 |
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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: 1 |
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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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8288 | 1.0 | 1201 | 0.7430 | |
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| 0.6141 | 2.0 | 2402 | 0.7103 | |
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| 0.5191 | 3.0 | 3603 | 0.7173 | |
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| 0.4039 | 4.0 | 4804 | 0.7414 | |
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| 0.341 | 5.0 | 6005 | 0.7539 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.10.1 |
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- Tokenizers 0.14.1 |
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