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
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.