opus-mt-en-es-finetuned-en-to-es
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on EuParl dataset. It achieves the following results on the evaluation set:
- Loss: 0.8139
- Bleu: 51.2804
- Gen Len: 31.5269
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: 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.853 | 1.0 | 4780 | 0.8139 | 51.2804 | 31.5269 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
Helsinki-NLP/opus-mt-en-es