---
base_model: camembert/camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classificateur-intention_camembert
  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. -->

# classificateur-intention_camembert

This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co./camembert/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5463
- Accuracy: 0.8889

## 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: 0.0002
- 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
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7517        | 2.0   | 10   | 0.4700          | 0.8889   |
| 0.2834        | 4.0   | 20   | 0.3313          | 0.8889   |
| 0.0488        | 6.0   | 30   | 0.3528          | 0.8889   |
| 0.0181        | 8.0   | 40   | 0.6355          | 0.8889   |
| 0.0079        | 10.0  | 50   | 0.6676          | 0.8889   |
| 0.0437        | 12.0  | 60   | 0.5817          | 0.8889   |
| 0.0049        | 14.0  | 70   | 0.4499          | 0.8889   |
| 0.0192        | 16.0  | 80   | 0.5162          | 0.8889   |
| 0.0045        | 18.0  | 90   | 0.5420          | 0.8889   |
| 0.0042        | 20.0  | 100  | 0.5463          | 0.8889   |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2