---
license: cc-by-nc-4.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-distilled-600M-dz-to-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. -->

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

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7727
- Bleu: 42.8708
- Gen Len: 13.335

## 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: 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.9294        | 1.0   | 1688 | 0.8364          | 39.0175 | 13.2637 |
| 0.7929        | 2.0   | 3376 | 0.7893          | 40.9994 | 13.303  |
| 0.7069        | 3.0   | 5064 | 0.7737          | 42.4125 | 13.292  |
| 0.6482        | 4.0   | 6752 | 0.7701          | 42.826  | 13.3287 |
| 0.6231        | 5.0   | 8440 | 0.7727          | 42.8708 | 13.335  |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3