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opus-mt-en-es-finetuned-es-to-guc
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6597
- Bleu: 1.5766
- Gen Len: 96.0814
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 191 | 2.3437 | 0.2827 | 147.2388 |
| No log | 2.0 | 382 | 2.0330 | 0.9511 | 94.1864 |
| 2.6025 | 3.0 | 573 | 1.9053 | 0.9912 | 99.4803 |
| 2.6025 | 4.0 | 764 | 1.8178 | 1.1936 | 98.769 |
| 2.6025 | 5.0 | 955 | 1.7582 | 1.1625 | 97.7402 |
| 1.9282 | 6.0 | 1146 | 1.7190 | 1.3506 | 97.4108 |
| 1.9282 | 7.0 | 1337 | 1.6922 | 1.4828 | 97.2034 |
| 1.7783 | 8.0 | 1528 | 1.6733 | 1.5533 | 95.7362 |
| 1.7783 | 9.0 | 1719 | 1.6633 | 1.6751 | 96.521 |
| 1.7783 | 10.0 | 1910 | 1.6597 | 1.5766 | 96.0814 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
