---
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert_classification_tools_fr
  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. -->

# camembert_classification_tools_fr

This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1971
- Accuracy: 0.8

## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 5    | 1.9901          | 0.45     |
| No log        | 2.0   | 10   | 1.8450          | 0.525    |
| No log        | 3.0   | 15   | 1.6934          | 0.625    |
| No log        | 4.0   | 20   | 1.5597          | 0.65     |
| No log        | 5.0   | 25   | 1.4364          | 0.775    |
| No log        | 6.0   | 30   | 1.3490          | 0.825    |
| No log        | 7.0   | 35   | 1.2849          | 0.825    |
| No log        | 8.0   | 40   | 1.2342          | 0.85     |
| No log        | 9.0   | 45   | 1.2078          | 0.8      |
| No log        | 10.0  | 50   | 1.1971          | 0.8      |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1