opus-mt-es-en-finetuned-es-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5851
- Bleu: 71.1382
- Gen Len: 10.3225
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 112 | 0.5693 | 71.7823 | 10.3676 |
| No log | 2.0 | 224 | 0.5744 | 69.5504 | 10.6739 |
| No log | 3.0 | 336 | 0.5784 | 71.6553 | 10.3117 |
| No log | 4.0 | 448 | 0.5826 | 71.0576 | 10.3261 |
| 0.2666 | 5.0 | 560 | 0.5851 | 71.1382 | 10.3225 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6
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