results
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: 0.2003
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4367 | 1.0 | 1009 | 0.2132 |
| 0.1949 | 2.0 | 2018 | 0.1991 |
| 0.1744 | 3.0 | 3027 | 0.1956 |
| 0.1593 | 4.0 | 4036 | 0.1949 |
| 0.1527 | 5.0 | 5045 | 0.1957 |
| 0.1419 | 6.0 | 6054 | 0.1962 |
| 0.1338 | 7.0 | 7063 | 0.1982 |
| 0.1276 | 8.0 | 8072 | 0.1988 |
| 0.1239 | 9.0 | 9081 | 0.1996 |
| 0.1215 | 10.0 | 10090 | 0.2003 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.13.3
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facebook/nllb-200-distilled-600M