---
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: wolofToFrenchTranslator
  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. -->

# wolofToFrenchTranslator

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0479
- Bleu: 12.2693
- Gen Len: 32.7694

## 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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.895         | 1.0   | 889  | 2.3133          | 8.1132  | 35.2036 |
| 2.1873        | 2.0   | 1778 | 2.1484          | 10.3261 | 34.378  |
| 1.9413        | 3.0   | 2667 | 2.0851          | 11.2136 | 32.7497 |
| 1.766         | 4.0   | 3556 | 2.0522          | 12.2257 | 32.6971 |
| 1.6878        | 5.0   | 4445 | 2.0479          | 12.2693 | 32.7694 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1