ewondo-french-model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1506
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.895 | 1.0 | 875 | 2.3419 |
| 2.3003 | 2.0 | 1750 | 2.1921 |
| 2.1289 | 3.0 | 2625 | 2.1506 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for yemen2016/ewondo-french-model
Base model
Helsinki-NLP/opus-mt-en-fr