metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: bul-baseline-small
results: []
bul-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2404
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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 |
|---|---|---|---|
| 3.7989 | 1.0 | 35405 | 3.5278 |
| 3.3576 | 2.0 | 70810 | 3.3734 |
| 3.257 | 3.0 | 106215 | 3.3041 |
| 3.202 | 4.0 | 141620 | 3.2623 |
| 3.1669 | 5.0 | 177025 | 3.2404 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2