---
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_418M_pt_informal
  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. -->

# m2m100_418M_pt_informal

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: 0.2567
- Bleu: 33.4128

## 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: 8
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 4.3504        | 0.4149 | 500  | 0.3221          | 29.1340 |
| 0.3117        | 0.8299 | 1000 | 0.2714          | 31.5481 |
| 0.2688        | 1.2448 | 1500 | 0.2658          | 32.3248 |
| 0.259         | 1.6598 | 2000 | 0.2612          | 32.9338 |
| 0.2528        | 2.0747 | 2500 | 0.2606          | 32.9240 |
| 0.2311        | 2.4896 | 3000 | 0.2573          | 33.2674 |
| 0.2298        | 2.9046 | 3500 | 0.2567          | 33.4128 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0