opus-mt-en-es-finetuned-en-to-es
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1438
- Bleu: 36.1767
- Gen Len: 33.8762
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.177 | 1.0 | 2988 | 1.1417 | 36.1355 | 34.0324 |
| 1.0871 | 2.0 | 5976 | 1.1396 | 35.9725 | 33.7839 |
| 1.0245 | 3.0 | 8964 | 1.1403 | 35.8792 | 33.7635 |
| 0.9782 | 4.0 | 11952 | 1.1426 | 36.172 | 33.8807 |
| 0.9349 | 5.0 | 14940 | 1.1438 | 36.1767 | 33.8762 |
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