---
base_model: camembert/camembert-base-ccnet
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert_ccnet_classification_tools_fr
  results: []
---

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

This model is a fine-tuned version of [camembert/camembert-base-ccnet](https://huggingface.co/camembert/camembert-base-ccnet) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5125
- Accuracy: 0.9
- Learning Rate: 0.0001

## 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: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 7    | 1.8894          | 0.525    | 0.0001 |
| No log        | 2.0   | 14   | 1.4269          | 0.675    | 0.0001 |
| No log        | 3.0   | 21   | 1.1038          | 0.75     | 0.0001 |
| No log        | 4.0   | 28   | 0.8014          | 0.85     | 0.0001 |
| No log        | 5.0   | 35   | 0.6406          | 0.85     | 0.0001 |
| No log        | 6.0   | 42   | 0.6220          | 0.875    | 9e-05  |
| No log        | 7.0   | 49   | 0.4642          | 0.875    | 0.0001 |
| No log        | 8.0   | 56   | 0.5596          | 0.85     | 0.0001 |
| No log        | 9.0   | 63   | 0.5648          | 0.85     | 0.0001 |
| No log        | 10.0  | 70   | 0.5025          | 0.9      | 0.0001 |
| No log        | 11.0  | 77   | 0.5263          | 0.9      | 0.0001 |
| No log        | 12.0  | 84   | 0.5062          | 0.9      | 8e-05  |
| No log        | 13.0  | 91   | 0.4950          | 0.9      | 0.0001 |
| No log        | 14.0  | 98   | 0.4981          | 0.9      | 0.0001 |
| No log        | 15.0  | 105  | 0.5036          | 0.9      | 0.0001 |
| No log        | 16.0  | 112  | 0.5075          | 0.9      | 0.0001 |
| No log        | 17.0  | 119  | 0.5125          | 0.9      | 0.0001 |


### Framework versions

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