---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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](https://huggingface.co/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