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  - art
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  ---
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- Model description:
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  this model is finetuned on a corpus of Shakespeare's work to generate text in Shakespearean language.
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  Intended uses & limitations:
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  How to use:
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  This model can be downloaded from the hugging face library and can be run on Google Colab.
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- Training data:
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  This model is trained on a corpus of over a million tokens of Shakespeare's work, that was collected from 15 novel of Shakespeare from Gutenberg.org.
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  Variable and metrics:
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  Prompt given to the model to start a sentence was "The" and max_length was set to 300.
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  Evaluation results:
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- Results of text generation of this model is satisfactory. The model was able to generate reasonable text and in Shakespearean language.
 
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  - art
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+ Model Description:
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  this model is finetuned on a corpus of Shakespeare's work to generate text in Shakespearean language.
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  Intended uses & limitations:
 
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  How to use:
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  This model can be downloaded from the hugging face library and can be run on Google Colab.
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+ Training Data:
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  This model is trained on a corpus of over a million tokens of Shakespeare's work, that was collected from 15 novel of Shakespeare from Gutenberg.org.
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+ Training Procedure:
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+ This model was run on Google Colab using a GPU. Processing time took about 15 - 20 minutes.
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+ To select a GPU, click on Runtime and Change Runtime Type. Select GPU and Save. Then run the codes in Colab.
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+
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  Variable and metrics:
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  Prompt given to the model to start a sentence was "The" and max_length was set to 300.
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  Evaluation results:
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+ Results of text generation of this model is above satisfactory. The model was able to generate reasonable text and in Shakespearean language.