---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-3.3B
tags:
- generated_from_trainer
model-index:
- name: nllb-tamazight-finetuned-v3
  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-tamazight-finetuned-v3

This model is a fine-tuned version of [facebook/nllb-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6156

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2004        | 1.0   | 50   | 4.7242          |
| 3.433         | 2.0   | 100  | 3.1314          |
| 2.8056        | 3.0   | 150  | 2.6156          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 3.6.0
- Tokenizers 0.15.2