---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- base_model:adapter:facebook/nllb-200-distilled-600M
- lora
- transformers
metrics:
- bleu
model-index:
- name: nllb-600M-medical-luganda-bidirectional
  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-600M-medical-luganda-bidirectional

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: 2.5663
- Bleu: 6.6618
- Chrf: 22.9805

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused 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: 100
- num_epochs: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Bleu   | Chrf    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:-------:|
| 5.65          | 0.9434  | 400  | 5.0490          | 1.802  | 15.6619 |
| 4.5322        | 1.8868  | 800  | 4.4031          | 1.3741 | 15.75   |
| 3.8473        | 2.8302  | 1200 | 3.8525          | 1.2316 | 16.2379 |
| 3.3184        | 3.7736  | 1600 | 3.4441          | 1.2876 | 17.0497 |
| 3.0563        | 4.7170  | 2000 | 3.2368          | 1.5506 | 17.5027 |
| 2.7198        | 5.6604  | 2400 | 3.0402          | 2.255  | 18.2851 |
| 2.5405        | 6.6038  | 2800 | 2.9127          | 3.5638 | 19.6118 |
| 2.4426        | 7.5472  | 3200 | 2.8274          | 4.2756 | 20.7453 |
| 2.2637        | 8.4906  | 3600 | 2.6992          | 5.5678 | 21.8649 |
| 2.2013        | 9.4340  | 4000 | 2.6395          | 6.2028 | 22.4425 |
| 2.1493        | 10.3774 | 4400 | 2.6026          | 6.5708 | 22.799  |
| 2.1372        | 11.3208 | 4800 | 2.5663          | 6.6618 | 22.9805 |


### Framework versions

- PEFT 0.17.1
- Transformers 4.56.2
- Pytorch 2.8.0
- Datasets 4.1.1
- Tokenizers 0.22.1