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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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- # french-hatebert
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- This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.6095
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- - Accuracy: 0.8740
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- - F1: 0.7310
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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: 16
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- - eval_batch_size: 16
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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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- - num_epochs: 15
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- ### Training results
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  ### Framework versions
 
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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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+ # <img src="https://cdn-uploads.huggingface.co/production/uploads/629a3dbcd496c6dcdebf41cc/6GCjfhzhKRTxDqDcgHg9s.png" width="100" height="100" alt="France">
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+ # French-HateBERT
 
 
 
 
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+ This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the dataset for hate speech detection in French.
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  ### Framework versions