fine-tuned-BioBART-10-epochs-1024-input-256-output
This model is a fine-tuned version of GanjinZero/biobart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8636
- Rouge1: 0.1803
- Rouge2: 0.043
- Rougel: 0.1391
- Rougelsum: 0.1408
- Gen Len: 39.35
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 151 | 2.4893 | 0.0 | 0.0 | 0.0 | 0.0 | 4.56 |
| No log | 2.0 | 302 | 1.0370 | 0.1382 | 0.033 | 0.1174 | 0.1192 | 28.23 |
| No log | 3.0 | 453 | 0.9481 | 0.0912 | 0.0231 | 0.0723 | 0.072 | 22.01 |
| 3.1525 | 4.0 | 604 | 0.9079 | 0.1402 | 0.0336 | 0.1063 | 0.1064 | 42.37 |
| 3.1525 | 5.0 | 755 | 0.8861 | 0.1772 | 0.0335 | 0.1344 | 0.1364 | 49.96 |
| 3.1525 | 6.0 | 906 | 0.8760 | 0.1702 | 0.0327 | 0.1301 | 0.1313 | 42.56 |
| 0.7557 | 7.0 | 1057 | 0.8661 | 0.158 | 0.0403 | 0.1136 | 0.114 | 40.53 |
| 0.7557 | 8.0 | 1208 | 0.8641 | 0.1631 | 0.0431 | 0.119 | 0.1198 | 44.57 |
| 0.7557 | 9.0 | 1359 | 0.8659 | 0.172 | 0.0427 | 0.1357 | 0.1369 | 38.31 |
| 0.5883 | 10.0 | 1510 | 0.8636 | 0.1803 | 0.043 | 0.1391 | 0.1408 | 39.35 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for tanatapanun/fine-tuned-BioBART-10-epochs-1024-input-256-output
Base model
GanjinZero/biobart-base