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opus-mt-en-es-finetuned-es-to-pbb-v0.1
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: 1.7969
- Bleu: 1.5951
- Gen Len: 90.2946
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 194 | 2.5441 | 0.4291 | 116.186 |
| No log | 2.0 | 388 | 2.2092 | 0.6579 | 93.4866 |
| 2.6835 | 3.0 | 582 | 2.0599 | 0.698 | 96.8631 |
| 2.6835 | 4.0 | 776 | 1.9695 | 1.0624 | 90.817 |
| 2.6835 | 5.0 | 970 | 1.9087 | 1.0183 | 92.7232 |
| 1.9199 | 6.0 | 1164 | 1.8623 | 1.2926 | 90.9807 |
| 1.9199 | 7.0 | 1358 | 1.8342 | 1.3107 | 92.122 |
| 1.7744 | 8.0 | 1552 | 1.8145 | 1.3784 | 90.314 |
| 1.7744 | 9.0 | 1746 | 1.8020 | 1.4162 | 90.8006 |
| 1.7744 | 10.0 | 1940 | 1.7969 | 1.5951 | 90.2946 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
