modify readme

README.md

@@ -14,7 +14,9 @@ pipeline_tag: sentence-similarity
 
 ## Description
 
-This is a fine-tuned version of [MiniCPM-2B-dpo-bf16](https://huggingface.co/openbmb/MiniCPM-2B-dpo-bf16) to perform Text Embedding tasks. The model is fine-tuned using the Contrastive Fine-tuning and LoRA technique on NLI datasets. ⚠️ **The training process ignores hard-negative samples and treat other in-bash samples + their entailments as in-batch negatives**. If you want to see the version utilizing hard-negative examples in training, please refer [here](https://huggingface.co/trapoom555/MiniCPM-2B-Text-Embedding-cft)
+This is a fine-tuned version of [MiniCPM-2B-dpo-bf16](https://huggingface.co/openbmb/MiniCPM-2B-dpo-bf16) to perform Text Embedding tasks. The model is fine-tuned using the Contrastive Fine-tuning and LoRA technique on NLI datasets. 
+
+⚠️ The training process ignores hard-negative samples and treat other in-batch samples + their entailments as in-batch negatives. ⚠️ If you want to see the version utilizing hard-negative examples in the training process, please refer [here](https://huggingface.co/trapoom555/MiniCPM-2B-Text-Embedding-cft)
 
 ## Base Model
 
@@ -88,7 +90,7 @@ print(encoded_sentences)
 
 ## Training Details
 
-⚠️ **The training process ignores hard-negative samples and treat other in-bash samples + their entailments as in-batch negatives**.
+⚠️ The training process ignores hard-negative samples and treat other in-batch samples + their entailments as in-batch negatives. ⚠️
 
 | **Training Details**    | **Value**         |
 |-------------------------|-------------------|