Update README.md

README.md

@@ -17,7 +17,7 @@ datasets:
 
 ## Model Details
 
-**Arithmo2-7B** is improved version of [Arithmi-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B) model and is trained to reason and answer mathematical problems and is also capable of writing a Python program that upon execution prints answer to the question. We used [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model and used **QLoRA to fine-tune it on a single GPU**.
+**Arithmo2-7B** is improved version of [Arithmo-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B) model and is trained to reason and answer mathematical problems and is also capable of writing a Python program that upon execution prints answer to the question. We used [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base model and used **QLoRA to fine-tune it on a single GPU**.
 
 ### Model Description
 
@@ -30,7 +30,7 @@ datasets:
 
 ## Results
 
-Arithmo2-7B is improved version of [Arithmi-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B) model and is competitive with full fine-tuned state-of-the-art 7B Mathematical Reasoning models. Refer to [Comparing Arithmo-Mistral-7B with other LLM models](https://github.com/akjindal53244/Arithmo-Mistral-7B/tree/master#comparing-arithmo-mistral-7b-with-other-llm-models) section for more details.
+Arithmo2-7B is improved version of [Arithmo-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B) model and is competitive with full fine-tuned state-of-the-art 7B Mathematical Reasoning models. Refer to [Comparing Arithmo-Mistral-7B with other LLM models](https://github.com/akjindal53244/Arithmo-Mistral-7B/tree/master#comparing-arithmo-mistral-7b-with-other-llm-models) section for more details.
 
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     <thead>
@@ -102,7 +102,7 @@ Plugging these values into the formula, we get:
 The answer is: 55
 ```
 
-Arithmo-Mistral-7B is trained with the following format:
+Arithmo2-7B is trained with the following format:
 #### CoT Format (generate reasoning steps with answer):
 ```
 Question: <question>
@@ -118,7 +118,7 @@ Answer:
 ```
 It will perform best if queried in this way with your own script.
 
-## Comparing Arithmo-Mistral-7B with other LLM models.
+## Comparing Arithmo2-7B with other LLM models.
 Results for all models except `Arithmo2-7B` are taken from [MetaMath](https://github.com/meta-math/MetaMath/blob/main/README.MD) repository.
 
 | Model               | GSM8k Pass@1 | MATH Pass@1 | Fine-tuning |