Updated README.md

README.md

@@ -3,4 +3,110 @@ license: llama3.2
 tags:
 - unsloth
 - text-generation
+datasets:
+- marmikpandya/mental-health
+- Amod/mental_health_counseling_conversations
+- AdithyaSK/CompanionLLama_instruction_30k
+base_model:
+- unsloth/Llama-3.2-3B-Instruct
+library_name: transformers
 ---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+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.
+
+- **Developed by:** Ayesha Noor
+- **Model type:** Language model for conversational AI
+- **Language(s) (NLP):** English
+- **License:** llama3.2
+- **Finetuned from model:** unsloth/Llama-3.2-3B-Instruct
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** ayeshaNoor1/Llama_finetunedModel
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+Intended for mental health chatbot applications, particularly for providing initial support, resources, and empathetic responses in mental well-being conversations.
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+May be used as part of broader mental health support applications, integrated into platforms aimed at user well-being.
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+Not recommended for critical mental health assessments, as it is not a replacement for professional help. Avoid using for high-stakes decision-making without appropriate oversight.
+
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users should be aware of the limitations in handling diverse mental health needs and sensitive conversations. Professional oversight is advised when using in serious or emergency mental health contexts.
+
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("ayeshaNoor1/Llama_finetunedModel")
+model = AutoModelForCausalLM.from_pretrained("ayeshaNoor1/Llama_finetunedModel")
+
+inputs = tokenizer("Your text here", return_tensors="pt")
+outputs = model.generate(**inputs)
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+A single dataset was created by merging:
+
+- **First Dataset:** - marmikpandya/mental-health
+- **Second Dataset:** - Amod/mental_health_counseling_conversations
+- **Third Dataset:** - AdithyaSK/CompanionLLama_instruction_30k
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+Data was preprocessed to ensure consistency in format, relevance to mental health support, and removal of any sensitive or personal identifiers.
+
+#### Summary
+The model demonstrated proficiency in providing supportive responses in well-being conversations.
+
+
+## Technical Specifications [optional]
+
+
+### Compute Infrastructure
+
+#### Software
+
+- **Libraries:** transformers, datasets, torch, pandas, trl, unsloth
+- **Framework:** PyTorch