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fine-tuned-BioBART-10-epochs
tanatapanun/fine-tuned-BioBART-10-epochs
fine-tuned-BioBART-10-epochs is a machine learning model from tanatapanun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 9e8a52b5
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
fine-tuned-BioBART-10-epochs
This model is a fine-tuned version of GanjinZero/biobart-v2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7099
- Rouge1: 0.2929
- Rouge2: 0.1172
- Rougel: 0.2685
- Rougelsum: 0.2674
- Gen Len: 14.66
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: 2e-05
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 151 | 0.7536 | 0.204 | 0.0789 | 0.1879 | 0.1874 | 13.31 |
| No log | 2.0 | 302 | 0.7161 | 0.2576 | 0.0833 | 0.2281 | 0.227 | 13.88 |
| No log | 3.0 | 453 | 0.7013 | 0.2314 | 0.082 | 0.2052 | 0.2053 | 14.57 |
| 0.7283 | 4.0 | 604 | 0.6976 | 0.2835 | 0.1092 | 0.2574 | 0.2572 | 14.34 |
| 0.7283 | 5.0 | 755 | 0.7012 | 0.2761 | 0.0916 | 0.252 | 0.2525 | 14.35 |
| 0.7283 | 6.0 | 906 | 0.6963 | 0.2959 | 0.108 | 0.2692 | 0.2692 | 14.97 |
| 0.5246 | 7.0 | 1057 | 0.7043 | 0.2848 | 0.1074 | 0.2558 | 0.2563 | 14.68 |
| 0.5246 | 8.0 | 1208 | 0.7043 | 0.2945 | 0.1168 | 0.271 | 0.2701 | 14.16 |
| 0.5246 | 9.0 | 1359 | 0.7080 | 0.2875 | 0.1097 | 0.2604 | 0.2598 | 14.69 |
| 0.4414 | 10.0 | 1510 | 0.7099 | 0.2929 | 0.1172 | 0.2685 | 0.2674 | 14.66 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023