Update README.md

README.md

@@ -13,7 +13,7 @@ library_name: peft
 language:
   - en
 datasets:
-  - your-username/therapy-dataset
+  - kunalchamoli/mental_health_v1
 model_name: Meet Lora - Your Own Therapist
 model_type: llama
 inference: false
@@ -27,7 +27,7 @@ It leverages **Parameter-Efficient Fine-Tuning (PEFT)** using **LoRA (Low-Rank A
 
 The model was fine-tuned on a **Tesla T4 GPU**, selectively training a small number of parameters to efficiently adapt the base model to the domain of mental health and therapy.
 
-> 💡 Dataset used is available on [Hugging Face 🤗](https://huggingface.co/datasets/your-username/therapy-dataset)
+> 💡 Dataset used is available on [Hugging Face 🤗](https://huggingface.co/datasets/kunalchamoli/mental_health_v1)
 
 ---
 
@@ -55,7 +55,7 @@ base_model = AutoModelForCausalLM.from_pretrained(
 tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf")
 
 # Load the adapter
-model = PeftModel.from_pretrained(base_model, "your-username/meet-lora-therapist")
+model = PeftModel.from_pretrained(base_model, "aryan27/llama-therapy-lora")
 
 # System prompt to guide behavior
 system_prompt = (