---
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-4
  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-4/runs/cwv3gudb)
# Bamalingua-4

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: 0.2322
- Bleu: 26.1291

## 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: 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: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.332         | 1.0   | 3160  | 0.3005          | 17.7092 |
| 0.2854        | 2.0   | 6320  | 0.2758          | 20.3331 |
| 0.2492        | 3.0   | 9480  | 0.2624          | 21.5687 |
| 0.2248        | 4.0   | 12640 | 0.2531          | 23.2174 |
| 0.2122        | 5.0   | 15800 | 0.2464          | 23.7911 |
| 0.1978        | 6.0   | 18960 | 0.2414          | 24.5054 |
| 0.182         | 7.0   | 22120 | 0.2376          | 24.7621 |
| 0.1804        | 8.0   | 25280 | 0.2353          | 25.5139 |
| 0.168         | 9.0   | 28440 | 0.2343          | 25.7965 |
| 0.1609        | 10.0  | 31600 | 0.2328          | 25.8732 |
| 0.1583        | 11.0  | 34760 | 0.2323          | 26.1820 |
| 0.1603        | 12.0  | 37920 | 0.2322          | 26.1291 |


### Framework versions

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