20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_TBD
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: 0.4449
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: 5e-05
- train_batch_size: 4
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4613 | 1.0 | 901 | 0.3336 |
| 0.1954 | 2.0 | 1802 | 0.3913 |
| 0.079 | 3.0 | 2703 | 0.4449 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1
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Model tree for zibajoon/20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_0.45
Base model
GanjinZero/biobart-v2-large