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  # Model Card for [natong19/moralization_classifier](https://huggingface.co/natong19/moralization_classifier)
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  A classifer for detecting moralizations, soft refusals and unsolicited advice.
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  Trained on [OpenLeecher/lmsys_chat_1m_clean](https://huggingface.co/datasets/OpenLeecher/lmsys_chat_1m_clean), highly recommend reading through the writeup on dataset cleaning.
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- ### Example usage:
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- ```
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  import torch
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  ```
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- ### Evaluation results:
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  - eval_loss: 0.0844
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  - eval_accuracy: 0.9800
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  - eval_f1: 0.9841
 
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+ ---
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+ pipeline_tag: text-classification
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+ ---
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  # Model Card for [natong19/moralization_classifier](https://huggingface.co/natong19/moralization_classifier)
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  A classifer for detecting moralizations, soft refusals and unsolicited advice.
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  Trained on [OpenLeecher/lmsys_chat_1m_clean](https://huggingface.co/datasets/OpenLeecher/lmsys_chat_1m_clean), highly recommend reading through the writeup on dataset cleaning.
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+ ### Quickstart
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+ ```python
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  import torch
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  ```
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+ ### Evaluation results
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  - eval_loss: 0.0844
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  - eval_accuracy: 0.9800
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  - eval_f1: 0.9841