---
library_name: peft
license: mit
base_model: facebook/m2m100_418M
tags:
- base_model:adapter:facebook/m2m100_418M
- lora
- transformers
model-index:
- name: m2m100_418M-GEC-spanish-LORA-synthetic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# m2m100_418M-GEC-spanish-LORA-synthetic

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: 3.9074
- Gleu: 0.9276

## 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: 0.00044107500561578277
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.08950396527674138
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Gleu   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.9485        | 1.0   | 6896  | 3.9114          | 0.9166 |
| 3.9632        | 2.0   | 13792 | 3.9074          | 0.9276 |


### Framework versions

- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.7.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2