---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/nllb-200-1.3B
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-1.3B-finetuned-wo-to-fr
  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-200-1.3B-finetuned-wo-to-fr

This model is a fine-tuned version of [facebook/nllb-200-1.3B](https://huggingface.co/facebook/nllb-200-1.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.8851
- Bleu: 8.4665
- Gen Len: 39.1999

## 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: 16
- eval_batch_size: 16
- 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
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
| 9.3638        | 1.1013 | 500  | 7.2226          | 3.3191 | 40.0655 |
| 7.1022        | 2.2026 | 1000 | 6.8851          | 8.4665 | 39.1999 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3