---
library_name: transformers
language:
- nnh
license: cc-by-nc-4.0
base_model: mimba/nllb-ngiemboon2fra
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: mimba/nllb-ngiemboon2fra
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mimba/nllb-ngiemboon2fra

This model is a fine-tuned version of [mimba/nllb-ngiemboon2fra](https://huggingface.co/mimba/nllb-ngiemboon2fra) on the mimba/text2text dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7438
- Bleu: 36.0431
- Chrf: 54.1025
- Wer: 0.6336

## 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: 8
- 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
- lr_scheduler_warmup_steps: 961
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Chrf    | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|
| 0.8913        | 1.0   | 2405 | 0.7217          | 37.4670 | 54.9183 | 0.6222 |
| 0.8383        | 2.0   | 4810 | 0.7325          | 37.0391 | 54.7729 | 0.6331 |
| 0.7954        | 3.0   | 7215 | 0.7438          | 36.0431 | 54.1025 | 0.6336 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2