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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tweet_eval |
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model-index: |
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- name: roberta-sentiment-analysis-finetune |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# roberta-sentiment |
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RoBERTa est un modèle d'analyse sentimentale développé par Facebook AI. Il est basé |
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sur l'architecture des transformers et est pré-entraîné sur une grande quantité de |
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données variées. RoBERTa est capable de comprendre et prédire avec précision le ton |
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émotionnel (positif, négatif ou neutre) d'un texte. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5451 | 1.0 | 713 | 0.5422 | |
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| 0.4785 | 2.0 | 1426 | 0.5585 | |
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| 0.4199 | 3.0 | 2139 | 0.5785 | |
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| 0.3608 | 4.0 | 2852 | 0.6038 | |
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| 0.3117 | 5.0 | 3565 | 0.6713 | |
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| 0.2684 | 6.0 | 4278 | 0.7366 | |
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| 0.2403 | 7.0 | 4991 | 0.7737 | |
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| 0.2137 | 8.0 | 5704 | 0.8276 | |
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| 0.1926 | 9.0 | 6417 | 0.8597 | |
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| 0.1778 | 10.0 | 7130 | 0.8863 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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