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README.md
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# albert-base-v2-Shakespear
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0127
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- Accuracy: 0.9989
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## Model description
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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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# albert-base-v2-Shakespear
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on 2 datasets.
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The first dataset consists of Shakespeare's poems, and the second consists of the CNN news dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0127
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- Accuracy: 0.9989
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## Model description
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This model was created for text classification to determine whether a given text is in Shakespeare's style or not.
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You can use this model to classify texts or as a validation metric for evaluating Shakespeare-style text generation models.
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### Training hyperparameters
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