---
base_model: igorktech/nllb-pruned-6L-512d-finetuned-v1
tags:
- peft
- lora
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-tiny-tuned
  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/igorktech01/nllb-finetuning/runs/n78ud9nz)
# nllb-200-tiny-tuned

This model is a fine-tuned version of [igorktech/nllb-pruned-6L-512d-finetuned-v1](https://huggingface.co/igorktech/nllb-pruned-6L-512d-finetuned-v1) on the your_dataset_name dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0980
- Bleu: 52.9983
- Chrf++: 73.2746

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Chrf++  |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 0.2285        | 0.6563 | 5000  | 0.1744          | 37.0851 | 62.3627 |
| 0.1872        | 1.3125 | 10000 | 0.1214          | 47.5689 | 69.8186 |
| 0.1089        | 1.9688 | 15000 | 0.0980          | 52.9983 | 73.2746 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1