opus-mt-en-es-finetuned-en-to-es-TA-5EPOCHS
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: 1.1519
- Bleu: 36.1767
- Gen Len: 33.1691
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 |
|---|---|---|---|---|---|
| 1.1849 | 1.0 | 2989 | 1.1316 | 36.2806 | 32.8762 |
| 1.0928 | 2.0 | 5978 | 1.1345 | 36.2441 | 32.9869 |
| 1.0191 | 3.0 | 8967 | 1.1439 | 36.0699 | 33.0191 |
| 0.9753 | 4.0 | 11956 | 1.1495 | 36.1426 | 33.2622 |
| 0.9491 | 5.0 | 14945 | 1.1519 | 36.1767 | 33.1691 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for edu-shok/opus-mt-en-es-finetuned-en-to-es-TA-5EPOCHS
Base model
Helsinki-NLP/opus-mt-en-es