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README.md
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# Labor Saving Stated Aim Classifier
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This is a roberta-base model that is trained to classify whether
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Hyperparameters:
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lr = 6e-5
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'eval_samples_per_second': 241.832,
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'eval_steps_per_second': 2.418}
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```
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# Labor Saving Stated Aim Classifier
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This is a roberta-base model that is trained to classify whether a set of explicit stated aims extracted from a British [historical patent](https://huggingface.co/datasets/matthewleechen/300YearsOfBritishPatents) includes a labor-saving objective.
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Labels were manually generated and then checked with Gemini 2.0 Flash with the attached [prompt](https://huggingface.co/matthewleechen/labor-saving_stated_aim_classifier/blob/main/labor-saving_prompt.txt).
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Hyperparameters:
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lr = 6e-5
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'eval_samples_per_second': 241.832,
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'eval_steps_per_second': 2.418}
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```
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