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  # Intent-Classification-Bert-Base-Cased
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- This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.6110
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  - Train Sparse Categorical Accuracy: 0.9836
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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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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  # Intent-Classification-Bert-Base-Cased
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an [Intent-Classification-Commands](https://huggingface.co/datasets/dipesh/Intent-Classification-Commands) dataset.
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.6110
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  - Train Sparse Categorical Accuracy: 0.9836
 
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  ## Model description
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+ Base model: 'bert-base-cased'
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  ## Intended uses & limitations
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+ Intent Classifications for Chatbot or Virtual Assistant
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  ## Training and evaluation data
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  ## Training procedure
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+ https://colab.research.google.com/drive/1tyXIbY875w0U8OuqEwfanecck5i-OfU6?usp=sharing
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  ### Training hyperparameters
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  The following hyperparameters were used during training: