opus-mt-es-en-finetuned-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: 2.0963
- Bleu: 12.6368
- Gen Len: 45.2439
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.7993 | 1.0 | 2337 | 2.5049 | 9.0673 | 46.0969 |
| 2.434 | 2.0 | 4674 | 2.2687 | 10.9353 | 45.3797 |
| 2.2723 | 3.0 | 7011 | 2.1639 | 11.9589 | 45.3567 |
| 2.1979 | 4.0 | 9348 | 2.1117 | 12.4972 | 45.4107 |
| 2.1644 | 5.0 | 11685 | 2.0963 | 12.6368 | 45.2439 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for hongjing0312/opus-mt-es-en-finetuned-en-to-es
Base model
Helsinki-NLP/opus-mt-es-en