---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: nllb-mulgi
  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-mulgi

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: 0.6669

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 200
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.1832        | 1.0   | 5381   | 1.0899          |
| 0.9676        | 2.0   | 10762  | 0.9221          |
| 0.8225        | 3.0   | 16143  | 0.8334          |
| 0.7285        | 4.0   | 21524  | 0.7831          |
| 0.6536        | 5.0   | 26905  | 0.7447          |
| 0.5835        | 6.0   | 32286  | 0.7133          |
| 0.5209        | 7.0   | 37667  | 0.6919          |
| 0.4773        | 8.0   | 43048  | 0.6752          |
| 0.4316        | 9.0   | 48429  | 0.6662          |
| 0.3868        | 10.0  | 53810  | 0.6621          |
| 0.3783        | 11.0  | 59191  | 0.6568          |
| 0.3298        | 12.0  | 64572  | 0.6571          |
| 0.3217        | 13.0  | 69953  | 0.6558          |
| 0.2898        | 14.0  | 75334  | 0.6569          |
| 0.2803        | 15.0  | 80715  | 0.6606          |
| 0.2513        | 16.0  | 86096  | 0.6597          |
| 0.2418        | 17.0  | 91477  | 0.6644          |
| 0.2302        | 18.0  | 96858  | 0.6647          |
| 0.2235        | 19.0  | 102239 | 0.6665          |
| 0.2259        | 20.0  | 107620 | 0.6669          |


### Framework versions

- Transformers 5.7.0
- Pytorch 2.6.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2