hensinki-en-es-finetuned-english-to-spanish-tateoba
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: 0.5236
- Bleu: 58.629
- Gen Len: 8.6642
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 |
|---|---|---|---|---|---|
| 0.5416 | 1.0 | 7069 | 0.5150 | 58.2349 | 8.6272 |
| 0.457 | 2.0 | 14138 | 0.5116 | 58.5559 | 8.6372 |
| 0.4021 | 3.0 | 21207 | 0.5172 | 58.7017 | 8.6416 |
| 0.3477 | 4.0 | 28276 | 0.5202 | 58.6269 | 8.6579 |
| 0.3254 | 5.0 | 35345 | 0.5236 | 58.629 | 8.6642 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for beanslmao/hensinki-en-es-finetuned-english-to-spanish-tateoba
Base model
Helsinki-NLP/opus-mt-en-es