Update README.md

README.md

@@ -6,6 +6,8 @@ tags:
 - mistral
 - text-generation
 - transformers
+- inference endpoints
+- pytorch
 base_model: mistralai/Mistral-7B-Instruct-v0.2
 model-index:
 - name: mental-health-mistral-7b-instructv0.2-finetuned-V2
@@ -24,11 +26,7 @@ It achieves the following results on the evaluation set:
 ## Model description  
 
 A Mistral-7B-Instruct-v0.2 model finetuned on a corpus of mental health conversations between a psychologist and a user.    
-The intention was to create a mental health assistant, "Connor", to address user questions based on responses from a psychologist.     
-
-## Intended uses & limitations    
-
-Intended to be used as a mental health chatbot to respond to user queries.    
+The intention was to create a mental health assistant, "Connor", to address user questions based on responses from a psychologist.       
 
 ## Training and evaluation data
 
@@ -37,8 +35,6 @@ Dataset found here :-
 * [Kaggle](https://www.kaggle.com/datasets/thedevastator/nlp-mental-health-conversations)
 * [Huggingface](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations)
 
-## Training procedure
-
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -80,7 +76,10 @@ tokenizer = AutoTokenizer.from_pretrained(
 
 # Create peft model using base_model and finetuned adapter
 config = PeftConfig.from_pretrained(adapter)
-model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, load_in_4bit=True, device_map='auto', torch_dtype='auto')
+model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path,
+                                             load_in_4bit=True,
+                                             device_map='auto',
+                                             torch_dtype='auto')
 model = PeftModel.from_pretrained(model, adapter)
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -89,10 +88,13 @@ model.eval()
 
 # Prompt content:
 messages = [
-    {"role": "user", "content": "Hey Connor! I have been feeling a bit down lately. I could really use some advice on how to feel better?"}
+    {"role": "user", "content": "Hey Connor! I have been feeling a bit down lately.I could really use some advice on how to feel better?"}
 ]
 
-input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt').to(device)
+input_ids = tokenizer.apply_chat_template(conversation=messages,
+                                          tokenize=True,
+                                          add_generation_prompt=True,
+                                          return_tensors='pt').to(device)
 output_ids = model.generate(input_ids=input_ids, max_new_tokens=512, do_sample=True, pad_token_id=2)
 response = tokenizer.batch_decode(output_ids.detach().cpu().numpy(), skip_special_tokens = True)