---
license: mit
base_model: MubarakB/m2m100-lg-to-en-v2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100-lg-to-en-v5
  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-lg-to-en-v5

This model is a fine-tuned version of [MubarakB/m2m100-lg-to-en-v2](https://huggingface.co/MubarakB/m2m100-lg-to-en-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5196
- Bleu: 0.1371

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.6476        | 1.0   | 237  | 0.7225          | 0.3822 |
| 0.5312        | 2.0   | 474  | 0.5011          | 0.0973 |
| 0.4211        | 3.0   | 711  | 0.4924          | 0.3545 |
| 0.4015        | 4.0   | 948  | 0.4957          | 0.1006 |
| 0.3431        | 5.0   | 1185 | 0.5096          | 0.1953 |
| 0.2992        | 6.0   | 1422 | 0.5196          | 0.1371 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1