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  # GPT-2_para3M
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.3207
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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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  # GPT-2_para3M
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+ This model is a pretrained version of [gpt2](https://huggingface.co/gpt2) on an [Tinystory](https://huggingface.co/datasets/roneneldan/TinyStories) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.3207
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  ## Intended uses & limitations
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+ The limitation of this model are mainly 2 aspects.
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+ * The number of parameter of the model is only around 3.6 million which is not large. As a result the model cannot generate text in all perspectives.
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+ * The dataset is only composed of stories, this greatly hinder the performance of the model. Only stories can be generated.
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  ## Training and evaluation data
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  More information needed