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--- |
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license: mit |
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datasets: |
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- chloeliu/reddit_nosleep_posts |
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language: |
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- en |
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tags: |
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- fun |
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- horror |
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- writing |
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widget: |
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- text: "[WP] We don't go to ravenholm anymore [RESPONSE] " |
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example_title: "Ravenholm" |
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- text: "[WP] The man in the corner of my window [RESPONSE] " |
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example_title: "The man in the corner" |
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co2_eq_emissions: |
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emissions: 70 |
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source: "https://mlco2.github.io/impact/#compute" |
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training_type: "fine-tuning" |
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geographical_location: "Oregon, USA" |
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hardware_used: "1x T4, Google Colab" |
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--- |
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# GPT-NoSleep-1.5b |
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This is the largest release of GPT-NoSleep; a finetuned version of [GPT2-XL](https://huggingface.co/gpt2-xl) on the 'reddit-nosleep-posts' dataset. |
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Smaller releases include: |
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* [GPT-NoSleep-355m](https://huggingface.co/DarwinAnim8or/GPT-NoSleep-355m) |
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And the accompanying prompt generator can be found here: |
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* [Space for prompt generation](https://huggingface.co/spaces/DarwinAnim8or/NoSleepWritingPromptGenerator) |
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* [The model](https://huggingface.co/DarwinAnim8or/NoSleepPromptGen) |
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# Training Procedure |
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This was trained on the 'reddt-nosleep-posts' dataset, on Google Colab. |
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This model was trained for 2 epochs with learning rate 1e-2. |
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Special thanks for Skyler for helping to train this large of a model! |
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# Biases & Limitations |
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This likely contains the same biases and limitations as the original GPT2 that it is based on, and additionally heavy biases from the dataset. |
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It can generate output that is not meant for all audiences, seeing as it's purpose is to generate horror stories. |
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# Intended Use |
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This model is meant for fun, nothing else. |