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20231130_BioBart-Base_5ep_Summ_Loss_0.76
zibajoon/20231130_BioBart-Base_5ep_Summ_Loss_0.76
20231130_BioBart-Base_5ep_Summ_Loss_0.76 is a machine learning model from zibajoon. 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
- Nov 30, 2023
- Updated
- Nov 30, 2023
- SHA
- ece0aed2
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. -->
20231130_BioBart-Base_5ep_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: 0.7539
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: 1
- 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_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8288 | 1.0 | 1201 | 0.7430 |
| 0.6141 | 2.0 | 2402 | 0.7103 |
| 0.5191 | 3.0 | 3603 | 0.7173 |
| 0.4039 | 4.0 | 4804 | 0.7414 |
| 0.341 | 5.0 | 6005 | 0.7539 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.10.1
- Tokenizers 0.14.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Nov 30, 2023
- Updated
- Nov 30, 2023