metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-es-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-es-en-finetuned
results: []
opus-mt-es-en-finetuned
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: 1.3101
- Bleu: 43.6479
- Chrf++: 62.6694
- Gen Len: 17.239
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf++ | Gen Len |
|---|---|---|---|---|---|---|
| 1.3080 | 1.0 | 62500 | 1.3174 | 43.3693 | 62.4229 | 17.284 |
| 1.2454 | 2.0 | 125000 | 1.3117 | 43.383 | 62.3814 | 17.3 |
| 1.1888 | 3.0 | 187500 | 1.3101 | 43.6479 | 62.6694 | 17.239 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2