---
tags:
- translation3
- generated_from_trainer
metrics:
- rouge
model-index:
- name: nllb-200-distilled-600M
  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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8332
- Rouge: 0.5681

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.43.1
- Pytorch 2.3.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1