helsinki-es-en-opus100-fine-tuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2316
- Bleu: 44.6895
- Gen Len: 14.7492
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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.2941 | 1.0 | 28000 | 1.2361 | 44.4788 | 14.7579 |
| 1.2071 | 2.0 | 56000 | 1.2316 | 44.6895 | 14.7492 |
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/helsinki-es-en-opus100-fine-tuned
Base model
Helsinki-NLP/opus-mt-es-en