Update README.md

README.md

@@ -49,11 +49,11 @@ The grading process follows these detailed instructions:
 
 
 ### Response:
-{grade}
+{grade}<be>
 {explanation}
 
 
-\
+
 
 
 ## Training Details
@@ -72,6 +72,9 @@ def print_number_of_trainable_model_parameters(model):
 
 print(print_number_of_trainable_model_parameters(model))
 ```
+trainable model parameters: 167772160<br>
+all model parameters: 4708372480<br>
+percentage of trainable model parameters: 3.56%<br>
 
 ## Usage
 
@@ -82,8 +85,8 @@ To use this model for grading student answers, you can load it from Hugging Face
 ```python
 from transformers import LlamaTokenizer, LlamaForCausalLM
 
-tokenizer = LlamaTokenizer.from_pretrained("your-hugging-face-username/exam-corrector")
-model = LlamaForCausalLM.from_pretrained("your-hugging-face-username/exam-corrector")
+tokenizer = LlamaTokenizer.from_pretrained("MohamedMotaz/Examination-llama-8b-4bit")
+model = LlamaForCausalLM.from_pretrained("MohamedMotaz/Examination-llama-8b-4bit")
 
 model_answer = "The process of photosynthesis involves converting light energy into chemical energy."
 student_answer = "Photosynthesis is when plants turn light into energy."