---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-fr-dje
  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-fr-dje

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: 1.2285
- Bleu: 29.6795

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 2.8423        | 1.0   | 508  | 1.8073          | 20.0301 |
| 1.7444        | 2.0   | 1017 | 1.4882          | 25.3031 |
| 1.4902        | 3.0   | 1526 | 1.3685          | 27.3325 |
| 1.3532        | 4.0   | 2035 | 1.3004          | 28.0924 |
| 1.2749        | 5.0   | 2544 | 1.2632          | 29.0171 |
| 1.2153        | 6.0   | 3053 | 1.2432          | 29.3495 |
| 1.1793        | 7.0   | 3562 | 1.2323          | 29.5367 |
| 1.1548        | 7.99  | 4064 | 1.2285          | 29.6795 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1