---
library_name: transformers
language:
- fr
- wo
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: moore_MT
  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. -->

# moore_MT

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: 2.4899
- Bleu: 8.0512
- Gen Len: 58.6

## 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: 3e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Use adamw_torch 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: 2500
- num_epochs: 24.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-------:|:----:|:---------------:|:------:|:-------:|
| 1.3635        | 14.9925 | 5000 | 2.4899          | 7.7564 | 59.1124 |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.7.0+cu126
- Datasets 3.3.2
- Tokenizers 0.20.3