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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
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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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## Intended uses & limitations
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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:
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