---
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100-legal-translation-en-ur
  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-legal-translation-en-ur

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2290
- Bleu: 30.9872

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 20
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.278         | 0.2688 | 25   | 6.3522          | 3.5831  |
| 5.3323        | 0.5376 | 50   | 4.9369          | 9.8940  |
| 4.3888        | 0.8065 | 75   | 3.7497          | 12.2129 |
| 3.0058        | 1.0753 | 100  | 2.6821          | 15.0216 |
| 2.2164        | 1.3441 | 125  | 1.7722          | 16.6899 |
| 1.2595        | 1.6129 | 150  | 1.0978          | 18.5312 |
| 0.8531        | 1.8817 | 175  | 0.7009          | 19.6160 |
| 0.579         | 2.1505 | 200  | 0.4962          | 21.4995 |
| 0.4599        | 2.4194 | 225  | 0.4073          | 22.5162 |
| 0.3362        | 2.6882 | 250  | 0.3502          | 23.5743 |
| 0.353         | 2.9570 | 275  | 0.3122          | 25.6336 |
| 0.313         | 3.2258 | 300  | 0.2887          | 27.3754 |
| 0.3446        | 3.4946 | 325  | 0.2702          | 28.0800 |
| 0.3345        | 3.7634 | 350  | 0.2541          | 29.5058 |
| 0.2018        | 4.0323 | 375  | 0.2439          | 30.0331 |
| 0.2381        | 4.3011 | 400  | 0.2360          | 30.5859 |
| 0.1609        | 4.5699 | 425  | 0.2315          | 30.8617 |
| 0.2169        | 4.8387 | 450  | 0.2290          | 30.9872 |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0