library_name, tags, model-index
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| transformers |
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eng1-large
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6418
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4203 | 1.0 | 2955 | 3.3579 |
| 2.9849 | 2.0 | 5910 | 2.9797 |
| 2.7942 | 3.0 | 8865 | 2.8564 |
| 2.7439 | 4.0 | 11820 | 2.7862 |
| 2.7095 | 5.0 | 14775 | 2.7377 |
| 2.7316 | 6.0 | 17730 | 2.7029 |
| 2.6551 | 7.0 | 20685 | 2.6778 |
| 2.6195 | 8.0 | 23640 | 2.6603 |
| 2.5955 | 9.0 | 26595 | 2.6479 |
| 2.5775 | 10.0 | 29550 | 2.6418 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.4.1+cu121
- Datasets 2.14.7
- Tokenizers 0.21.0