jojajovai-opus-mt-tc-bible-big-spa-grn
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-bible-big-mul-mul on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8084
- Bleu: 26.8296
- Chrf: 51.6637
- Combined: 39.2466
- Gen Len: 36.593
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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 | Combined | Gen Len |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 316 | 2.0207 | 24.4061 | 47.9912 | 36.1986 | 37.4272 |
| 1.9753 | 2.0 | 632 | 1.8943 | 25.5945 | 49.6946 | 37.6445 | 36.0995 |
| 1.9753 | 3.0 | 948 | 1.8618 | 25.8657 | 50.1902 | 38.0279 | 36.6035 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
Helsinki-NLP/opus-mt-tc-bible-big-mul-mul