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nllb-en-id-ccmatrix
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the ccmatrix dataset. It achieves the following results on the evaluation set:
- Loss: 0.4791
- Bleu: 65.9837
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.606 | 1.0 | 28125 | 0.5249 | 64.1268 |
| 0.4943 | 2.0 | 56250 | 0.5043 | 64.7892 |
| 0.467 | 3.0 | 84375 | 0.4945 | 65.2331 |
| 0.4487 | 4.0 | 112500 | 0.4887 | 65.5512 |
| 0.4349 | 5.0 | 140625 | 0.4843 | 65.6806 |
| 0.4242 | 6.0 | 168750 | 0.4822 | 65.7774 |
| 0.416 | 7.0 | 196875 | 0.4801 | 65.8541 |
| 0.4098 | 8.0 | 225000 | 0.4800 | 65.9652 |
| 0.4052 | 9.0 | 253125 | 0.4788 | 65.9701 |
| 0.4023 | 10.0 | 281250 | 0.4791 | 65.9837 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0
