transformers pytorch tensorboard m2m_100 text2text-generation translation generated_from_trainer license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible region:us
---
license: cc-by-nc-4.0
metrics:
- bleu
tags:
- translation
- generated_from_trainer
model-index:
- name: nllb-200-distilled-600M-en-to-dz
  results: []
---

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

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: 1.4130
- Bleu: 3.9043
- Gen Len: 16.5447

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 1.7451        | 1.0   | 1688 | 1.5913          | 2.285  | 17.3937 |
| 1.5595        | 2.0   | 3376 | 1.4808          | 1.9817 | 16.787  |
| 1.429         | 3.0   | 5064 | 1.4367          | 2.7438 | 16.802  |
| 1.3653        | 4.0   | 6752 | 1.4180          | 4.3181 | 16.5257 |
| 1.3291        | 5.0   | 8440 | 1.4130          | 3.9043 | 16.6407 |


### Framework versions

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