metadata
library_name: transformers
license: mit
base_model: QizhiPei/biot5-plus-base-chebi20
tags:
- generated_from_trainer
model-index:
- name: biot5plus-ChemGen
results: []
biot5plus-ChemGen
This model is a fine-tuned version of QizhiPei/biot5-plus-base-chebi20 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1256
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: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 156 | 0.1680 |
| No log | 2.0 | 312 | 0.1380 |
| No log | 3.0 | 468 | 0.1293 |
| 0.8218 | 4.0 | 624 | 0.1265 |
| 0.8218 | 5.0 | 780 | 0.1256 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0