metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: eng-fas-baseline-small
results: []
eng-fas-baseline-small
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2098
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 |
|---|---|---|---|
| 4.1607 | 1.0 | 11343 | 3.5536 |
| 3.5237 | 2.0 | 22686 | 3.3561 |
| 3.3926 | 3.0 | 34029 | 3.2746 |
| 3.327 | 4.0 | 45372 | 3.2295 |
| 3.2893 | 5.0 | 56715 | 3.2098 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2