generated_from_trainer base_model:etalab-ia/camembert-base-squadFR-fquad-piaf region:us
---
base_model: etalab-ia/camembert-base-squadFR-fquad-piaf
tags:
- generated_from_trainer
model-index:
- name: camembert_squadFR_question_answering_tools_qlora_fr
  results: []
---

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

This model is a fine-tuned version of [etalab-ia/camembert-base-squadFR-fquad-piaf](https://huggingface.co/etalab-ia/camembert-base-squadFR-fquad-piaf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3994
- Learning Rate: 0.0

## 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    | 3.8843          | 0.0001 |
| No log        | 2.0   | 14   | 2.5855          | 0.0001 |
| No log        | 3.0   | 21   | 1.9334          | 0.0001 |
| No log        | 4.0   | 28   | 1.5336          | 0.0001 |
| No log        | 5.0   | 35   | 1.2781          | 0.0001 |
| No log        | 6.0   | 42   | 1.0961          | 9e-05  |
| No log        | 7.0   | 49   | 1.0501          | 0.0001 |
| No log        | 8.0   | 56   | 1.0563          | 0.0001 |
| No log        | 9.0   | 63   | 1.0709          | 0.0001 |
| No log        | 10.0  | 70   | 1.0806          | 0.0001 |
| No log        | 11.0  | 77   | 1.1127          | 0.0001 |
| No log        | 12.0  | 84   | 1.0596          | 8e-05  |
| No log        | 13.0  | 91   | 1.0592          | 0.0001 |
| No log        | 14.0  | 98   | 1.0619          | 0.0001 |
| No log        | 15.0  | 105  | 1.0277          | 0.0001 |
| No log        | 16.0  | 112  | 0.9977          | 0.0001 |
| No log        | 17.0  | 119  | 1.0214          | 0.0001 |
| No log        | 18.0  | 126  | 1.0584          | 7e-05  |
| No log        | 19.0  | 133  | 1.0866          | 0.0001 |
| No log        | 20.0  | 140  | 1.1212          | 0.0001 |
| No log        | 21.0  | 147  | 1.0932          | 0.0001 |
| No log        | 22.0  | 154  | 1.1510          | 0.0001 |
| No log        | 23.0  | 161  | 1.1591          | 0.0001 |
| No log        | 24.0  | 168  | 1.1126          | 6e-05  |
| No log        | 25.0  | 175  | 1.1220          | 0.0001 |
| No log        | 26.0  | 182  | 1.1413          | 0.0001 |
| No log        | 27.0  | 189  | 1.1519          | 0.0001 |
| No log        | 28.0  | 196  | 1.1718          | 0.0001 |
| No log        | 29.0  | 203  | 1.2205          | 0.0001 |
| No log        | 30.0  | 210  | 1.2722          | 5e-05  |
| No log        | 31.0  | 217  | 1.2453          | 0.0000 |
| No log        | 32.0  | 224  | 1.2521          | 0.0000 |
| No log        | 33.0  | 231  | 1.2604          | 0.0000 |
| No log        | 34.0  | 238  | 1.2694          | 0.0000 |
| No log        | 35.0  | 245  | 1.2688          | 0.0000 |
| No log        | 36.0  | 252  | 1.2813          | 4e-05  |
| No log        | 37.0  | 259  | 1.3230          | 0.0000 |
| No log        | 38.0  | 266  | 1.3333          | 0.0000 |
| No log        | 39.0  | 273  | 1.2986          | 0.0000 |
| No log        | 40.0  | 280  | 1.3076          | 0.0000 |
| No log        | 41.0  | 287  | 1.3551          | 0.0000 |
| No log        | 42.0  | 294  | 1.3552          | 3e-05  |
| No log        | 43.0  | 301  | 1.3435          | 0.0000 |
| No log        | 44.0  | 308  | 1.3404          | 0.0000 |
| No log        | 45.0  | 315  | 1.3245          | 0.0000 |
| No log        | 46.0  | 322  | 1.3288          | 0.0000 |
| No log        | 47.0  | 329  | 1.3455          | 0.0000 |
| No log        | 48.0  | 336  | 1.3656          | 2e-05  |
| No log        | 49.0  | 343  | 1.4061          | 0.0000 |
| No log        | 50.0  | 350  | 1.4262          | 0.0000 |
| No log        | 51.0  | 357  | 1.4366          | 0.0000 |
| No log        | 52.0  | 364  | 1.4267          | 0.0000 |
| No log        | 53.0  | 371  | 1.4158          | 0.0000 |
| No log        | 54.0  | 378  | 1.4038          | 1e-05  |
| No log        | 55.0  | 385  | 1.4013          | 0.0000 |
| No log        | 56.0  | 392  | 1.4022          | 0.0000 |
| No log        | 57.0  | 399  | 1.3999          | 5e-06  |
| No log        | 58.0  | 406  | 1.3987          | 0.0000 |
| No log        | 59.0  | 413  | 1.3994          | 0.0000 |
| No log        | 60.0  | 420  | 1.3994          | 0.0    |


### Framework versions

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