---
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_synthetic_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_synthetic_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: 0.7501
- Bleu: 62.4193
- Gen Len: 64.586

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.0564        | 1.0   | 2210  | 1.0374          | 45.431  | 65.406  |
| 0.8998        | 2.0   | 4420  | 0.8975          | 52.6173 | 66.014  |
| 0.7972        | 3.0   | 6630  | 0.8399          | 55.9624 | 65.357  |
| 0.7451        | 4.0   | 8840  | 0.8021          | 57.3958 | 65.94   |
| 0.6884        | 5.0   | 11050 | 0.7771          | 59.9589 | 65.367  |
| 0.6742        | 6.0   | 13260 | 0.7648          | 61.0786 | 64.74   |
| 0.6599        | 7.0   | 15470 | 0.7562          | 61.9442 | 64.694  |
| 0.6168        | 8.0   | 17680 | 0.7530          | 62.0067 | 64.965  |
| 0.6234        | 9.0   | 19890 | 0.7502          | 62.0721 | 64.888  |
| 0.5948        | 10.0  | 22100 | 0.7501          | 62.4193 | 64.586  |


### Framework versions

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