---
base_model: camembert/camembert-base-ccnet
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert_ccnet_classification_tools_qlora_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_ccnet_classification_tools_qlora_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: 0.4352
- Accuracy: 0.875
- Learning Rate: 2e-05

## 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    | 2.0584          | 0.275    | 0.0001 |
| No log        | 2.0   | 14   | 2.0531          | 0.3      | 0.0001 |
| No log        | 3.0   | 21   | 2.0250          | 0.275    | 0.0001 |
| No log        | 4.0   | 28   | 1.9685          | 0.3      | 0.0001 |
| No log        | 5.0   | 35   | 1.8958          | 0.4      | 0.0001 |
| No log        | 6.0   | 42   | 1.8061          | 0.475    | 9e-05  |
| No log        | 7.0   | 49   | 1.7082          | 0.5      | 0.0001 |
| No log        | 8.0   | 56   | 1.6107          | 0.625    | 0.0001 |
| No log        | 9.0   | 63   | 1.5159          | 0.625    | 0.0001 |
| No log        | 10.0  | 70   | 1.4223          | 0.6      | 0.0001 |
| No log        | 11.0  | 77   | 1.3273          | 0.65     | 0.0001 |
| No log        | 12.0  | 84   | 1.2439          | 0.65     | 8e-05  |
| No log        | 13.0  | 91   | 1.1666          | 0.65     | 0.0001 |
| No log        | 14.0  | 98   | 1.1022          | 0.675    | 0.0001 |
| No log        | 15.0  | 105  | 1.0276          | 0.725    | 0.0001 |
| No log        | 16.0  | 112  | 0.9658          | 0.75     | 0.0001 |
| No log        | 17.0  | 119  | 0.9221          | 0.75     | 0.0001 |
| No log        | 18.0  | 126  | 0.8748          | 0.775    | 7e-05  |
| No log        | 19.0  | 133  | 0.8393          | 0.75     | 0.0001 |
| No log        | 20.0  | 140  | 0.7973          | 0.8      | 0.0001 |
| No log        | 21.0  | 147  | 0.7556          | 0.8      | 0.0001 |
| No log        | 22.0  | 154  | 0.7264          | 0.8      | 0.0001 |
| No log        | 23.0  | 161  | 0.7129          | 0.8      | 0.0001 |
| No log        | 24.0  | 168  | 0.6768          | 0.85     | 6e-05  |
| No log        | 25.0  | 175  | 0.6512          | 0.85     | 0.0001 |
| No log        | 26.0  | 182  | 0.6313          | 0.85     | 0.0001 |
| No log        | 27.0  | 189  | 0.5952          | 0.85     | 0.0001 |
| No log        | 28.0  | 196  | 0.5637          | 0.875    | 0.0001 |
| No log        | 29.0  | 203  | 0.5550          | 0.875    | 0.0001 |
| No log        | 30.0  | 210  | 0.5522          | 0.85     | 5e-05  |
| No log        | 31.0  | 217  | 0.5354          | 0.875    | 0.0000 |
| No log        | 32.0  | 224  | 0.5252          | 0.875    | 0.0000 |
| No log        | 33.0  | 231  | 0.5285          | 0.875    | 0.0000 |
| No log        | 34.0  | 238  | 0.5231          | 0.875    | 0.0000 |
| No log        | 35.0  | 245  | 0.5122          | 0.875    | 0.0000 |
| No log        | 36.0  | 252  | 0.4972          | 0.875    | 4e-05  |
| No log        | 37.0  | 259  | 0.4776          | 0.85     | 0.0000 |
| No log        | 38.0  | 266  | 0.4605          | 0.875    | 0.0000 |
| No log        | 39.0  | 273  | 0.4570          | 0.875    | 0.0000 |
| No log        | 40.0  | 280  | 0.4514          | 0.875    | 0.0000 |
| No log        | 41.0  | 287  | 0.4454          | 0.875    | 0.0000 |
| No log        | 42.0  | 294  | 0.4480          | 0.875    | 3e-05  |
| No log        | 43.0  | 301  | 0.4593          | 0.875    | 0.0000 |
| No log        | 44.0  | 308  | 0.4680          | 0.85     | 0.0000 |
| No log        | 45.0  | 315  | 0.4656          | 0.85     | 0.0000 |
| No log        | 46.0  | 322  | 0.4507          | 0.875    | 0.0000 |
| No log        | 47.0  | 329  | 0.4440          | 0.85     | 0.0000 |
| No log        | 48.0  | 336  | 0.4352          | 0.875    | 2e-05  |


### Framework versions

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