opus-mt-en-es-finetuned-es-to-maq-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: 1.9026
- Bleu: 6.2542
- Gen Len: 85.8168
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 | 2.4894 | 2.7357 | 106.7282 |
| No log | 2.0 | 388 | 2.2333 | 4.5116 | 90.6795 |
| 2.6136 | 3.0 | 582 | 2.1176 | 4.7062 | 91.1743 |
| 2.6136 | 4.0 | 776 | 2.0314 | 5.3422 | 89.0635 |
| 2.6136 | 5.0 | 970 | 1.9925 | 5.5413 | 90.2363 |
| 1.9444 | 6.0 | 1164 | 1.9523 | 6.1301 | 84.5288 |
| 1.9444 | 7.0 | 1358 | 1.9292 | 5.8244 | 88.6617 |
| 1.8038 | 8.0 | 1552 | 1.9137 | 6.2976 | 88.0 |
| 1.8038 | 9.0 | 1746 | 1.9062 | 6.2889 | 85.0679 |
| 1.8038 | 10.0 | 1940 | 1.9026 | 6.2542 | 85.8168 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for mekjr1/opus-mt-en-es-finetuned-es-to-maq-v0.1
Base model
Helsinki-NLP/opus-mt-en-es