---
library_name: transformers
license: mit
base_model: almanach/camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: td2
  results: []
language:
- fr
---

<!-- 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. -->

# td2
TD2 - ESGI 
# Ahmed Ennaifer & Sarra Chabane Chaouche


This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the None dataset.
It achieves the following results on the evaluation set of train/test:
- Loss: 0.0128
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9983

# The model got an accuracy of  `0.998` on the seperate eval dataset : `test_fr`

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 160  | 0.0455          | 0.0       | 0.0    | 0.0 | 0.9975   |
| No log        | 2.0   | 320  | 0.0292          | 0.0       | 0.0    | 0.0 | 0.9981   |
| No log        | 3.0   | 480  | 0.0224          | 0.0       | 0.0    | 0.0 | 0.9981   |
| 0.0837        | 4.0   | 640  | 0.0188          | 0.0       | 0.0    | 0.0 | 0.9981   |
| 0.0837        | 5.0   | 800  | 0.0166          | 0.0       | 0.0    | 0.0 | 0.9979   |
| 0.0837        | 6.0   | 960  | 0.0148          | 0.0       | 0.0    | 0.0 | 0.9981   |
| 0.0182        | 7.0   | 1120 | 0.0139          | 0.0       | 0.0    | 0.0 | 0.9982   |
| 0.0182        | 8.0   | 1280 | 0.0133          | 0.0       | 0.0    | 0.0 | 0.9981   |
| 0.0182        | 9.0   | 1440 | 0.0129          | 0.0       | 0.0    | 0.0 | 0.9982   |
| 0.0122        | 10.0  | 1600 | 0.0128          | 0.0       | 0.0    | 0.0 | 0.9983   |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1