---
license: cc-by-nc-4.0
base_model: barro/dyu-fr-nllb-distilled
tags:
- generated_from_trainer
model-index:
- name: dyu-fr-nllb-quantized
  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. -->

# dyu-fr-nllb-quantized

This model is a fine-tuned version of [barro/dyu-fr-nllb-distilled](https://huggingface.co/barro/dyu-fr-nllb-distilled) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8874

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5155        | 1.0   | 1009 | 0.8459          |
| 0.4838        | 2.0   | 2018 | 0.8570          |
| 0.4587        | 3.0   | 3027 | 0.8697          |
| 0.4214        | 4.0   | 4036 | 0.8813          |
| 0.4093        | 5.0   | 5045 | 0.8874          |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1