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license: cc-by-sa-4.0
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license: cc-by-sa-4.0
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language:
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- id
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library_name: transformers
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pipeline_tag: text-classification
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# BERATBOS v0.0.1-prealpha
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> BERT-based Automated Text Classification Based on POS
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A model I made for my final year assignment, used a random script to train this on GPU,
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as a result, the usage is kinda non-standard, as far as transformers-based models go, at least.
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Model is for detecting AI-generated works via coherency comparison through POS tag differences,
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it was only trained for 5 epochs on a dataset of 1000 human sentences and 1000 BLOOM-generated sentences.
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![image.png](https://s3.amazonaws.com/moonup/production/uploads/1674149530163-605ac7c22bd7bebcc260c29e.png)
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I have plans to further this model into an actual production model,
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but will only be done once I can properly assess on whether that's a worthy enough of an endeavour.
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