---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-tc-bible-big-mul-mul
tags:
- generated_from_trainer
model-index:
- name: opus-ph-ph
  results: []
---

<!-- 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. -->

# opus-ph-ph

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7528
- Bleu Global: 28.4879

## 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: 32
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Global |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.6364        | 1.0   | 1268 | 1.9412          | 25.9524     |
| 0.1826        | 2.0   | 2536 | 2.2076          | 25.5630     |
| 0.1035        | 3.0   | 3804 | 2.3956          | 28.8255     |
| 0.06          | 4.0   | 5072 | 2.5487          | 28.1852     |
| 0.0436        | 5.0   | 6340 | 2.6189          | 28.7365     |
| 0.0298        | 6.0   | 7608 | 2.7528          | 28.4879     |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0