---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: nllb-200-distilled-600M-en2hi
  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-en2hi

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: 0.4607
- Bleu: 32.87
- Chrf: 55.18
- Wer: 76.9324

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu  | Chrf  | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:-------:|
| 2.5437        | 0.2   | 1000 | 2.3910          | 30.9  | 53.24 | 78.9661 |
| 0.1806        | 0.4   | 2000 | 0.4908          | 29.37 | 51.74 | 79.6658 |
| 0.1593        | 0.6   | 3000 | 0.4685          | 32.14 | 54.66 | 77.4741 |
| 0.1711        | 0.8   | 4000 | 0.4641          | 33.04 | 55.4  | 76.9980 |
| 0.0829        | 1.0   | 5000 | 0.4607          | 32.87 | 55.18 | 76.9324 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0