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  # bert-finetuned-gesture-prediction-9-classes
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.8391
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- - Accuracy: 0.8443
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- - Precision: 0.8461
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- - Recall: 0.8443
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- - F1: 0.8422
 
 
 
 
 
 
 
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  ## Model description
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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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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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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  # bert-finetuned-gesture-prediction-9-classes
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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+ It achieves the following results on the validation set:
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+ - Loss: 0.6948
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+ - Accuracy: 0.8332
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+ - Precision: 0.8352
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+ - Recall: 0.8332
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+ - F1: 0.8311
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+
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+ It achieves the following results on the test set:
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+ - Loss: 0.6337
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+ - Accuracy: 0.8297
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+ - Precision: 0.8365
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+ - Recall: 0.8297
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+ - F1: 0.8281
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  ## Model description
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  ## Training and evaluation data
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+ The model has been trained with the qfrodicio/gesture-prediction-9-classes dataset
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  ## Training procedure
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - weight_decay: 0.01
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42