---
base_model: facebook/nllb-200-distilled-600M
library_name: peft
license: cc-by-nc-4.0
metrics:
- bleu
- rouge
tags:
- generated_from_trainer
model-index:
- name: NLLB_QLoRA
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/FinalProject_/NLLB/runs/li2er79u)
# NLLB_QLoRA

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: 1.3340
- Bleu: 31.5945
- Rouge: 0.5906
- Gen Len: 17.338

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 2.858         | 1.0   | 875  | 1.4023          | 30.5493 | 0.5771 | 17.3705 |
| 1.4649        | 2.0   | 1750 | 1.3447          | 31.343  | 0.5886 | 17.284  |
| 1.4247        | 3.0   | 2625 | 1.3340          | 31.5945 | 0.5906 | 17.338  |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1