eng-fra-baseline-small
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9535
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 |
|---|---|---|---|
| 3.7323 | 1.0 | 12089 | 3.2326 |
| 3.222 | 2.0 | 24178 | 3.0744 |
| 3.1161 | 3.0 | 36267 | 3.0074 |
| 3.0623 | 4.0 | 48356 | 2.9706 |
| 3.031 | 5.0 | 60445 | 2.9535 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
- Downloads last month
- 7
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support