dyu-fr-nllb-distilled
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8422
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.055 | 1.0 | 505 | 2.0886 |
| 1.2745 | 2.0 | 1010 | 0.8845 |
| 0.8132 | 3.0 | 1515 | 0.8499 |
| 0.7598 | 4.0 | 2020 | 0.8413 |
| 0.7301 | 5.0 | 2525 | 0.8422 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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