---
license: mit
base_model: MubarakB/m2m100-lg-to-en-v2
tags:
- generated_from_trainer
model-index:
- name: m2m100-lg-to-en-v4
  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-v4

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: 0.5477

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8978        | 1.0   | 119  | 0.5258          |
| 0.4898        | 2.0   | 238  | 0.5082          |
| 0.4377        | 3.0   | 357  | 0.5151          |
| 0.367         | 4.0   | 476  | 0.5277          |
| 0.3086        | 5.0   | 595  | 0.5477          |


### Framework versions

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