---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Bamalingua-10
  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/bamalingua-bamalingua/Bamalingua-10/runs/ar5ujx9d)
# Bamalingua-10

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: 1.2686
- Bleu: 33.3172

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 1.6029        | 1.0   | 1580  | 1.3671          | 19.8676 |
| 1.133         | 2.0   | 3160  | 1.2158          | 23.8416 |
| 0.83          | 3.0   | 4740  | 1.1721          | 25.9122 |
| 0.6113        | 4.0   | 6320  | 1.1634          | 28.6661 |
| 0.4468        | 5.0   | 7900  | 1.1735          | 31.1171 |
| 0.3295        | 6.0   | 9480  | 1.2041          | 32.4465 |
| 0.2543        | 7.0   | 11060 | 1.2353          | 33.0069 |
| 0.2104        | 8.0   | 12640 | 1.2586          | 33.3333 |
| 0.187         | 9.0   | 14220 | 1.2686          | 33.3172 |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1