fix newlines

README.md

@@ -21,20 +21,20 @@ This model is a fine-tuned version of [INSAIT-Institute/MamayLM-Gemma-3-4B-IT-v1
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Evaluation
-This is the first iteration of fine-tuning MamayLM for function calling. In the future, we plan to add metrics and improve training.
-During this phase new tokens (including tool_call) were introduced to the model and we evaluated how well it uses and understands the purpose of tool_call.
+This is the first iteration of fine-tuning MamayLM for function calling. In the future, we plan to add metrics and improve training. <br>
+During this phase new tokens (including tool_call) were introduced to the model and we evaluated how well it uses and understands the purpose of tool_call. <br>
 
 ### Metrics
-Accuracy in function calling (if response contains tool_call token) - find_longest_common_sequence_length(ground_truth_tokens, generated_tokens) / len(ground_truth_tokens)
-Match in helpful exchange (if response does not contain tool_call token) - Computes the percentage of matching elements between generated tokens and ground truth tokens
+- Accuracy in function calling (if response contains tool_call token) - ```find_longest_common_sequence_length(ground_truth_tokens, generated_tokens) / len(ground_truth_tokens)```
+- Match in helpful exchange (if response does not contain tool_call token) - Computes the percentage of matching elements between generated tokens and ground truth tokens
 
 ### Performance before fine-tuning:
-Accuracy in function calling: 0.38107
-Match in helpful exchange: 0.07440
+Accuracy in function calling: 0.38107 <br>
+Match in helpful exchange: 0.07440 <br>
 
 ### Performance after fine-tuning:
-Accuracy in function calling: 0.95415
-Match in helpful exchange: 0.09937
+Accuracy in function calling: 0.95415 <br>
+Match in helpful exchange: 0.09937 <br>
 
 ## Quick start