metadata

license: apache-2.0
datasets:
  - arafatanam/Mental-Health-Couseling
  - arafatanam/Student-Mental-Health-Counseling-10K
base_model:
  - unsloth/mistral-7b-instruct-v0.3-bnb-4bit
tags:
  - mental-health
  - student-focused
  - chatbot

Mistral-7B-Instruct Fine-Tuned for Mental Health Counseling

Model Overview

This is a fine-tuned version of unsloth/mistral-7b-instruct-v0.3-bnb-4bit, designed for mental health counseling. It enhances response quality in mental health discussions, providing empathetic and well-structured replies.

Dataset

Amod/mental_health_counseling_conversations (cleaned version: arafatanam/Mental-Health-Counseling) - 2752 rows
chillies/student-mental-health-counseling-vn (translated version: arafatanam/Student-Mental-Health-Counseling-10K) - 7500 rows
Total dataset size: 10,252 rows

Training Details

Hardware: Kaggle Notebooks (GPU T4 x2)
Fine-tuning framework: Unsloth with LoRA
Training settings:
- max_seq_length = 512
- batch_size = 8
- gradient_accumulation_steps = 4
- num_train_epochs = 2
- learning_rate = 5e-5
- optimizer = adamw_8bit
- lr_scheduler = cosine

Training Results

Final training loss: 1.0042
Total steps: 640
Trainable parameters: 0.60% of the model`
Validation loss: 0.978
Evaluation metric (perplexity): 2.85

Usage

This model is best suited for:

Mental health chatbots
Virtual therapy applications
Mental health support and response generation