---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-mr-en
tags:
- translation
- generated_from_trainer
model-index:
- name: opus-mt-mr-en_mr_en
  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. -->

# opus-mt-mr-en_mr_en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mr-en](https://huggingface.co/Helsinki-NLP/opus-mt-mr-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3867

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 32   | 0.5244          |
| No log        | 1.99  | 64   | 0.4824          |
| No log        | 2.99  | 96   | 0.4601          |
| No log        | 3.99  | 128  | 0.4412          |
| No log        | 4.99  | 160  | 0.4330          |
| No log        | 5.98  | 192  | 0.4258          |
| No log        | 6.98  | 224  | 0.4214          |
| No log        | 7.98  | 256  | 0.4193          |
| No log        | 9.0   | 288  | 0.4108          |
| No log        | 9.99  | 320  | 0.4034          |
| No log        | 10.99 | 352  | 0.3983          |
| No log        | 11.99 | 384  | 0.3938          |
| No log        | 12.99 | 416  | 0.3901          |
| No log        | 13.98 | 448  | 0.3889          |
| No log        | 14.98 | 480  | 0.3871          |
| No log        | 15.98 | 512  | 0.3867          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2