metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
tags:
- generated_from_trainer
metrics:
- bleu
- chrf
- bleu + chrf
model-index:
- name: jojajovai-opus-mt-tc-bible-big-spa-grn
results: []
datasets:
- mmaguero/jojajovai
language:
- es
- gn
- grn
- gug
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: 1.8078
- Bleu: 26.7899
- Chrf: 51.656
- Combined: 39.2229
- Gen Len: 36.4961
Model description
More information needed
Intended uses & limitations
Translation Spanish-Guarani...
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 | Bleu Gen Len | Chrf | Chrf Gen Len | Combined |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 316 | 2.0189 | 24.4896 | 37.1848 | 48.0852 | 37.1848 | 36.2874 |
| 1.9749 | 2.0 | 632 | 1.8937 | 25.536 | 36.1965 | 49.6548 | 36.1965 | 37.5954 |
| 1.9749 | 3.0 | 948 | 1.8614 | 26.0179 | 36.5 | 50.2907 | 36.5 | 38.1543 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1