20231130_BioBart-Base_10ep_Summ
This model is a fine-tuned version of GanjinZero/biobart-v2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7717
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 300 | 0.8193 |
| 1.1071 | 2.0 | 601 | 0.7497 |
| 1.1071 | 3.0 | 901 | 0.7227 |
| 0.6455 | 4.0 | 1202 | 0.7163 |
| 0.5135 | 5.0 | 1502 | 0.7239 |
| 0.5135 | 6.0 | 1803 | 0.7303 |
| 0.4212 | 7.0 | 2103 | 0.7540 |
| 0.4212 | 8.0 | 2404 | 0.7555 |
| 0.3507 | 9.0 | 2704 | 0.7717 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.10.1
- Tokenizers 0.14.1
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