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Update README.md

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@@ -7,6 +7,13 @@ language:
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  - en
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  metrics:
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  - f1
 
 
 
 
 
 
 
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  ---
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  # Model Card for Model ID
@@ -26,18 +33,15 @@ The model utilizes the strengths of large language models (LLMs) pre-trained on
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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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-
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- - **Developed by:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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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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- ### Model Sources [optional]
 
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  <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
 
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  - en
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  metrics:
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  - f1
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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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+
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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]