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update model card README.md

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  # jp-speech-classifier
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- This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base-japanese-v3) on an speech category dataset I have created myself.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1895
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  - Accuracy: 0.7053
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  ## Model description
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- This model classifies Japanese sentences into factual, question, descriptive, opinion based or other sentences.
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  ## Intended uses & limitations
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- I created this model to be used for my project attempting to quantitatively analyze political stances of Japanese politicians.
 
 
 
 
 
 
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  ### Training hyperparameters
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  # jp-speech-classifier
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+ This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base-japanese-v3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1895
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  - Accuracy: 0.7053
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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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