Update README.md

edit the model card

README.md

@@ -19,10 +19,10 @@ We're excited to introduce Hammer 2.0, the latest in our Hammer Large Language M
 Hammer2.0 finetuned based on [Qwen 2.5 series](https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e) and [Qwen 2.5 coder series](https://huggingface.co/collections/Qwen/qwen25-coder-66eaa22e6f99801bf65b0c2f). It's trained using the [APIGen Function Calling Datasets](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) containing 60,000 samples, supplemented by [7,500 irrelevance detection data](https://huggingface.co/datasets/MadeAgents/XLAM-7.5k-Irrelevance) we generated. Employing innovative training techniques of function masking, function shuffling, and prompt optimization, Hammer2.0 has achieved exceptional performances across numerous benchmarks including [Berkley Function Calling Leaderboard](https://gorilla.cs.berkeley.edu/leaderboard.html), [API-Bank](https://arxiv.org/abs/2304.08244), [Tool-Alpaca](https://arxiv.org/abs/2306.05301), [Nexus Raven](https://github.com/nexusflowai/NexusRaven-V2) and [Seal-Tools](https://arxiv.org/abs/2405.08355).
 
 ## Tuning Details
-We will soon release a report detailing our models' technical aspects. Stay tuned!
+We will soon release a report detailing the technical aspects of our models. Stay tuned!
 
 ## Evaluation
-The evaluation result of Hammer2.0 series on the Berkeley Function-Calling Leaderboard (BFCL) are presented in the following table:
+The evaluation results of Hammer 2.0 series on the Berkeley Function-Calling Leaderboard (BFCL) are presented in the following table:
 <div style="text-align: center;">
     <img src="v2_figures/bfcl.PNG" alt="overview" width="1000" style="margin: auto;">
 </div>
@@ -33,7 +33,7 @@ In addition, we evaluated Hammer2.0 on other academic benchmarks to further show
     <img src="v2_figures/others.PNG" alt="overview" width="1000" style="margin: auto;">
 </div>
 
-On comparison, Hammer 2.0 outperform models with similar sizes and even surpass many larger models overall. 
+On comparison, Hammer 2.0 outperforms models with similar sizes and even surpass many larger models overall. 
 
 ## Requiements
 The code of Hammer2.0-7b has been in the latest Hugging face transformers and we advise you to install `transformers>=4.37.0`.