Text Generation
Transformers
Safetensors
unsloth
conversational
Inference Endpoints
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@@ -25,10 +25,11 @@ This modelcard aims to be a base template for new models. It has been generated
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  <!-- Provide a longer summary of what this model is. -->
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  This model has been fine-tuned for use in a chatbot aimed at mental well-being support. It is designed to offer empathetic, supportive responses to users' mental health inquiries. A combined dataset was created by merging three relevant datasets for training to enhance the model’s ability to understand and respond appropriately in counseling scenarios.
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  - **Developed by:** Ayesha Noor
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  - **Model type:** Language model for conversational AI
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  - **Language(s) (NLP):** English
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- - **Finetuned from model:** unsloth/Llama-3.2-3B-Instruct
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  ### Model Sources
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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  A single dataset was created by merging:
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- - **First Dataset:** - marmikpandya/mental-health
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- - **Second Dataset:** - Amod/mental_health_counseling_conversations
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- - **Third Dataset:** - AdithyaSK/CompanionLLama_instruction_30k
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  ### Training Procedure
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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  Data was preprocessed to ensure consistency in format, relevance to mental health support, and removal of any sensitive or personal identifiers.
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@@ -101,7 +102,7 @@ Data was preprocessed to ensure consistency in format, relevance to mental healt
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  The model demonstrated proficiency in providing supportive responses in well-being conversations.
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- ## Technical Specifications [optional]
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  ### Compute Infrastructure
 
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  <!-- Provide a longer summary of what this model is. -->
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  This model has been fine-tuned for use in a chatbot aimed at mental well-being support. It is designed to offer empathetic, supportive responses to users' mental health inquiries. A combined dataset was created by merging three relevant datasets for training to enhance the model’s ability to understand and respond appropriately in counseling scenarios.
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+ - **Model Name:** Llama_finetunedModel
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  - **Developed by:** Ayesha Noor
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  - **Model type:** Language model for conversational AI
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  - **Language(s) (NLP):** English
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+ - **Finetuned model:** https://huggingface.co/ayeshaNoor1/Llama_finetunedModel
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  ### Model Sources
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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  A single dataset was created by merging:
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+ - **First Dataset:** - https://huggingface.co/datasets/marmikpandya/mental-health
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+ - **Second Dataset:** - https://huggingface.co/datasets/Amod/mental_health_counseling_conversations
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+ - **Third Dataset:** - https://huggingface.co/datasets/AdithyaSK/CompanionLLama_instruction_30k
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  ### Training Procedure
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing
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  Data was preprocessed to ensure consistency in format, relevance to mental health support, and removal of any sensitive or personal identifiers.
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  The model demonstrated proficiency in providing supportive responses in well-being conversations.
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+ ## Technical Specifications
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  ### Compute Infrastructure