---
base_model: facebook/nllb-200-distilled-600M
library_name: peft
license: cc-by-nc-4.0
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: nllb-peft-2-way-enta
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nllb-peft-2-way-enta

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.6779
- Sacrebleu: 14.6250

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 6.7496        | 1.0   | 11250 | 6.6810          | 14.3659   |
| 6.737         | 2.0   | 22500 | 6.6785          | 14.5979   |
| 6.7405        | 3.0   | 33750 | 6.6779          | 14.6250   |


### Framework versions

- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1