---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/madlad400-3b-mt
datasets:
- generator
metrics:
- bleu
model-index:
- name: traduction_fon_french
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# traduction_fon_french

This model is a fine-tuned version of [google/madlad400-3b-mt](https://huggingface.co/google/madlad400-3b-mt) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2698
- Bleu: 0.217
- Gen Len: 9.6092

## 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: 0.0003
- train_batch_size: 18
- eval_batch_size: 18
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.3025        | 1.0   | 2528  | 5.2043          | 0.2814 | 8.9524  |
| 3.1868        | 2.0   | 5056  | 5.2746          | 0.1393 | 8.8278  |
| 3.0907        | 3.0   | 7584  | 5.1989          | 0.2607 | 9.6087  |
| 3.0409        | 4.0   | 10112 | 5.2698          | 0.217  | 9.6092  |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1