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--- |
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language: fr |
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tags: |
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- sentiments |
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- text-classification |
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- flaubert |
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- french |
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- flaubert-large |
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--- |
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# Modèle de détection de 4 sentiments avec FlauBERT (mixed, negative, objective, positive) |
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### Comment l'utiliser ? |
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```python |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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from transformers import pipeline |
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loaded_tokenizer = AutoTokenizer.from_pretrained('flaubert/flaubert_large_cased') |
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loaded_model = AutoModelForSequenceClassification.from_pretrained("DemangeJeremy/4-sentiments-with-flaubert") |
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nlp = pipeline('sentiment-analysis', model=loaded_model, tokenizer=loaded_tokenizer) |
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print(nlp("Je suis plutôt confiant.")) |
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``` |
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``` |
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[{'label': 'OBJECTIVE', 'score': 0.3320835530757904}] |
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``` |
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## Résultats de l'évaluation du modèle |
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| Epoch | Validation Loss | Samples Per Second | |
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|:------:|:--------------:|:------------------:| |
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| 1 | 2.219246 | 49.476000 | |
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| 2 | 1.883753 | 47.259000 | |
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| 3 | 1.747969 | 44.957000 | |
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| 4 | 1.695606 | 43.872000 | |
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| 5 | 1.641470 | 45.726000 | |
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## Citation |
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Pour toute utilisation de ce modèle, merci d'utiliser cette citation : |
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> Jérémy Demange, Four sentiments with FlauBERT, (2021), Hugging Face repository, <https://huggingface.co/DemangeJeremy/4-sentiments-with-flaubert> |
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