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README.md
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metrics:
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- f1
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---
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# Model Card for Model ID
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In summary, this model excels in pinpointing trigger utterances for emotion-flips in English dialogues, showcasing the effectiveness of openchat, LLM capabilities, QLoRA and strategic prompt engineering.
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** Hindi-English
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- **License:** MIT
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- **Finetuned from model [optional]:** [More Information Needed]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [
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- **Paper [
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- **Demo [optional]:** [More Information Needed]
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metrics:
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pipeline_tag: text-classification
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tags:
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- Trigger
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- 7B
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- LoRA
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- llama2
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- PEFT
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---
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# Model Card for Model ID
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In summary, this model excels in pinpointing trigger utterances for emotion-flips in English dialogues, showcasing the effectiveness of openchat, LLM capabilities, QLoRA and strategic prompt engineering.
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- **Developed by:** Hasan et al
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- **Model type:** LoRA Adapter for openchat_3.5 (Text classification)
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- **Language(s) (NLP):** English
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- **License:** MIT
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** [Multi-Party-DialoZ](https://github.com/Zuhashaik/Multi-Party-DialoZ)
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- **Paper [Soon]:** [More Information Needed]
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