Text Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use ac0hik/Sarcasm_Detection_French with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ac0hik/Sarcasm_Detection_French with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ac0hik/Sarcasm_Detection_French")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ac0hik/Sarcasm_Detection_French") model = AutoModelForSequenceClassification.from_pretrained("ac0hik/Sarcasm_Detection_French", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0544
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- Accuracy: 0.9860
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.1733 | 1.0 | 697 | 0.0544 | 0.9860 |
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### Framework versions
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