---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/nllb-200-3.3B
tags:
- base_model:adapter:facebook/nllb-200-3.3B
- lora
- transformers
metrics:
- bleu
model-index:
- name: eng_yor_unidirection
  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. -->

# eng_yor_unidirection

This model is a fine-tuned version of [facebook/nllb-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6342
- Bleu: 17.1195
- Gen Len: 46.6583

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 5.3266        | 1.0   | 3441  | 1.7253          | 15.867  | 46.9732 |
| 2.0388        | 2.0   | 6882  | 1.6761          | 16.4011 | 47.0961 |
| 3.3007        | 3.0   | 10323 | 1.6516          | 16.6914 | 46.9297 |
| 2.1298        | 4.0   | 13764 | 1.6385          | 17.0557 | 46.9065 |
| 2.8537        | 5.0   | 17205 | 1.6342          | 17.1195 | 46.6583 |


### Framework versions

- PEFT 0.18.1
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2