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---
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
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