dyu-fr-nllb-quantized
This model is a fine-tuned version of barro/dyu-fr-nllb-distilled on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8874
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.5155 | 1.0 | 1009 | 0.8459 |
| 0.4838 | 2.0 | 2018 | 0.8570 |
| 0.4587 | 3.0 | 3027 | 0.8697 |
| 0.4214 | 4.0 | 4036 | 0.8813 |
| 0.4093 | 5.0 | 5045 | 0.8874 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for barro/dyu-fr-nllb-quantized
Base model
facebook/nllb-200-distilled-600M
Finetuned
barro/dyu-fr-nllb-distilled