---
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
model-index:
- name: camembert_question_answering_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_question_answering_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: 2.7647
- 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 | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 7    | 4.1015          | 0.0001 |
| No log        | 2.0   | 14   | 3.2806          | 0.0001 |
| No log        | 3.0   | 21   | 2.9722          | 0.0001 |
| No log        | 4.0   | 28   | 2.8707          | 0.0001 |
| No log        | 5.0   | 35   | 2.7841          | 0.0001 |
| No log        | 6.0   | 42   | 2.7172          | 9e-05  |
| No log        | 7.0   | 49   | 2.6598          | 0.0001 |
| No log        | 8.0   | 56   | 2.6083          | 0.0001 |
| No log        | 9.0   | 63   | 2.5637          | 0.0001 |
| No log        | 10.0  | 70   | 2.5213          | 0.0001 |
| No log        | 11.0  | 77   | 2.4843          | 0.0001 |
| No log        | 12.0  | 84   | 2.4661          | 8e-05  |
| No log        | 13.0  | 91   | 2.4349          | 0.0001 |
| No log        | 14.0  | 98   | 2.4924          | 0.0001 |
| No log        | 15.0  | 105  | 2.3981          | 0.0001 |
| No log        | 16.0  | 112  | 2.5037          | 0.0001 |
| No log        | 17.0  | 119  | 2.3250          | 0.0001 |
| No log        | 18.0  | 126  | 2.4910          | 7e-05  |
| No log        | 19.0  | 133  | 2.3392          | 0.0001 |
| No log        | 20.0  | 140  | 2.5614          | 0.0001 |
| No log        | 21.0  | 147  | 2.3671          | 0.0001 |
| No log        | 22.0  | 154  | 3.1649          | 0.0001 |
| No log        | 23.0  | 161  | 2.3988          | 0.0001 |
| No log        | 24.0  | 168  | 2.7332          | 6e-05  |
| No log        | 25.0  | 175  | 2.8618          | 0.0001 |
| No log        | 26.0  | 182  | 3.0148          | 0.0001 |
| No log        | 27.0  | 189  | 2.7647          | 0.0001 |


### Framework versions

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