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opus-mt-en-es-finetuned-es-to-maz
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6048
- Bleu: 4.3691
- Gen Len: 90.628
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 197 | 2.2612 | 1.6643 | 112.3057 |
| No log | 2.0 | 394 | 1.9432 | 2.2102 | 95.5885 |
| 2.5492 | 3.0 | 591 | 1.8172 | 2.8502 | 95.6293 |
| 2.5492 | 4.0 | 788 | 1.7422 | 3.156 | 92.9006 |
| 2.5492 | 5.0 | 985 | 1.6962 | 3.2496 | 91.9032 |
| 1.8541 | 6.0 | 1182 | 1.6573 | 3.6696 | 91.0064 |
| 1.8541 | 7.0 | 1379 | 1.6345 | 3.8424 | 90.5987 |
| 1.7136 | 8.0 | 1576 | 1.6158 | 4.0247 | 91.6229 |
| 1.7136 | 9.0 | 1773 | 1.6077 | 4.2614 | 89.265 |
| 1.7136 | 10.0 | 1970 | 1.6048 | 4.3691 | 90.628 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
