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opus-mt-es-en-finetuned_model-en-to-es
This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 1.9803
- Bleu: 13.8765
- Gen Len: 45.316
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.5745 | 1.0 | 4674 | 2.3717 | 10.1245 | 46.0135 |
| 2.2901 | 2.0 | 9348 | 2.1461 | 12.2345 | 45.3126 |
| 2.1356 | 3.0 | 14022 | 2.0491 | 13.1754 | 45.496 |
| 2.0507 | 4.0 | 18696 | 1.9967 | 13.689 | 45.3156 |
| 2.0222 | 5.0 | 23370 | 1.9803 | 13.8765 | 45.316 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
