---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-distilled-600M-finetuned_augmented_MT_ar-to-en
  results: []
pipeline_tag: translation
---

<!-- 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. -->

# nllb-200-distilled-600M-finetuned_augmented_MT_ar-to-en

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7204
- Bleu: 64.0069
- Gen Len: 65.416

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.0557        | 1.0   | 2195  | 0.9595          | 49.4737 | 68.419  |
| 0.9159        | 2.0   | 4390  | 0.8377          | 55.3155 | 67.247  |
| 0.8074        | 3.0   | 6585  | 0.7898          | 58.8942 | 66.102  |
| 0.7441        | 4.0   | 8780  | 0.7559          | 60.8889 | 65.846  |
| 0.6963        | 5.0   | 10975 | 0.7395          | 61.3835 | 66.31   |
| 0.641         | 6.0   | 13170 | 0.7320          | 62.4226 | 65.985  |
| 0.6106        | 7.0   | 15365 | 0.7257          | 62.8285 | 65.505  |
| 0.5826        | 8.0   | 17560 | 0.7212          | 63.5372 | 65.474  |
| 0.5766        | 9.0   | 19755 | 0.7195          | 63.8042 | 65.525  |
| 0.5533        | 10.0  | 21950 | 0.7204          | 64.0069 | 65.416  |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3