---
tags:
- generated_from_trainer
datasets:
- tweet_eval
model-index:
- name: roberta-sentiment-analysis-finetune
  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. -->

# roberta-sentiment

RoBERTa est un modèle d'analyse sentimentale développé par Facebook AI. Il est basé
sur l'architecture des transformers et est pré-entraîné sur une grande quantité de
données variées. RoBERTa est capable de comprendre et prédire avec précision le ton
émotionnel (positif, négatif ou neutre) d'un texte.

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5451        | 1.0   | 713  | 0.5422          |
| 0.4785        | 2.0   | 1426 | 0.5585          |
| 0.4199        | 3.0   | 2139 | 0.5785          |
| 0.3608        | 4.0   | 2852 | 0.6038          |
| 0.3117        | 5.0   | 3565 | 0.6713          |
| 0.2684        | 6.0   | 4278 | 0.7366          |
| 0.2403        | 7.0   | 4991 | 0.7737          |
| 0.2137        | 8.0   | 5704 | 0.8276          |
| 0.1926        | 9.0   | 6417 | 0.8597          |
| 0.1778        | 10.0  | 7130 | 0.8863          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2