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---
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
|