Update README.md

README.md

@@ -1,10 +1,19 @@
 ---
+
 base_model: ybelkada/falcon-7b-sharded-bf16
 tags:
 - generated_from_trainer
 model-index:
 - name: falcon-7b-sharded-bf16-finetuned-mental-health-conversational
   results: []
+license: mit
+datasets:
+- heliosbrahma/mental_health_chatbot_dataset
+language:
+- en
+metrics:
+- rouge
+pipeline_tag: conversational
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,18 +25,20 @@ This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://
 
 ## Model description
 
-More information needed
+This model is fine-tuned on custom mental health conversational dataset. The rationale behind this is to answer mental health related queries that can be factually verified without responding gibberish words.
 
 ## Intended uses & limitations
 
-More information needed
+The model was trained on the dataset which may contain sensitive information related to mental health. It is important to note that while mental health chatbots built using this model can be helpful, they are not a replacement for professional mental health care.
 
 ## Training and evaluation data
 
-More information needed
+This model was trained on custom [heliosbrahma/mental_health_chatbot_dataset](https://huggingface.co/datasets/heliosbrahma/mental_health_chatbot_dataset) dataset which 172 rows of conversational pair of questions and answers.
 
 ## Training procedure
 
+This model was trained using QLoRA technique to fine-tune on a custom dataset on free-tier GPU available in Google Colab.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: