---
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: nllb_complete
  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_complete

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: 0.5537
- Bleu: 54.0987
- Gen Len: 17.1547

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use 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: 5000
- num_epochs: 24.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-------:|:------:|:---------------:|:-------:|:-------:|
| 0.7527        | 2.0916  | 10000  | 0.7154          | 41.0087 | 17.0123 |
| 0.5274        | 4.1832  | 20000  | 0.5901          | 46.2079 | 17.2597 |
| 0.4209        | 6.2748  | 30000  | 0.5502          | 49.6827 | 17.0787 |
| 0.381         | 8.3665  | 40000  | 0.5324          | 51.0468 | 17.1997 |
| 0.3123        | 10.4581 | 50000  | 0.5264          | 52.239  | 17.0687 |
| 0.279         | 12.5497 | 60000  | 0.5292          | 52.8077 | 17.163  |
| 0.2568        | 14.6413 | 70000  | 0.5320          | 53.2148 | 17.1983 |
| 0.2234        | 16.7329 | 80000  | 0.5415          | 53.2988 | 17.1817 |
| 0.2208        | 18.8245 | 90000  | 0.5455          | 53.9008 | 17.1253 |
| 0.2179        | 20.9162 | 100000 | 0.5501          | 54.2302 | 17.107  |
| 0.2057        | 23.0077 | 110000 | 0.5537          | 54.0987 | 17.1547 |


### Framework versions

- Transformers 4.53.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2