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LACAI/roberta-large-adapted-PFG-progression
roberta-large-adapted-PFG-progression is a text classification model from LACAI. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
Base model: lacai/roberta-large-dialog-narrative
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From the Hugging Face model README
Base model: lacai/roberta-large-dialog-narrative
Fine tuned as a progression model (to predict the acceptability of a dialogue) on the Persuasion For Good Dataset (Wang et al., 2019):
Given a complete dialogue from (or in the style of) Persuasion For Good, the task is to predict a numeric score typically in the range (-3, 3) where a higher score means a more acceptable dialogue in context of the donation solicitation task.
This model inherits a special dialogue token <d> from its base model, which indicates the start of a dialogue utterance.
Example input: <d>How are you?</s><d>Good! how about yourself?</s><d>Great. Would you like to donate today to help the children?</s>
For more context and usage information see https://github.rpi.edu/LACAI/dialogue-progression.