diff --git a/fingpt/FinGPT-v3/README.md b/fingpt/FinGPT-v3/README.md
index b53bf84..10c5682 100644
--- a/fingpt/FinGPT-v3/README.md
+++ b/fingpt/FinGPT-v3/README.md
@@ -49,28 +49,28 @@ for sentiment in out_text:
## Ⅱ. Benchmark Results
-| **Weighted F1** | BloombergGPT | [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B) | [v3](https://huggingface.co/oliverwang15/FinGPT_ChatGLM2_Sentiment_Instruction_LoRA_FT) | [v3.1](https://huggingface.co/oliverwang15/FinGPT_v31_ChatGLM2_Sentiment_Instruction_LoRA_FT) | v3.1.1 (8bit) | v3.1.2 (QLoRA) | [Llama2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) | [v3.2](https://huggingface.co/oliverwang15/FinGPT_v32_Llama2_Sentiment_Instruction_LoRA_FT) |
-| --------------- | :----------: | :----------------------------------------------: | :----------------------------------------------------------: | :--------------: | :----------------: | :------------------------: | :------------------------: | :------------------------: |
-| FPB [1] | 0.511 | 0.381 | 0.701 | **0.855** | **0.855** | 0.777 | 0.390 | *0.850* |
-| FiQA-SA [2] | 0.751 | 0.790 | 0.760 | 0.850 | *0.847* | 0.752 | 0.800 | **0.860** |
-| TFNS [3] | - | 0.189 | 0.740 | *0.875* | 0.879 | 0.828 | 0.296 | **0.894** |
-| NWGI [4] | - | 0.449 | 0.578 | **0.642** | 0.636 | 0.583 | 0.503 | *0.632* |
-| Mean | | 0.452 | 0.730 | 0.805 | *0.804* | 0.735 | 0.497 | **0.809** |
-| Std | | 0.217 | **0.091** | *0.095* | 0.098 | 0.092 | 0.189 | 0.103 |
-| **ACC/F1 Micro** | | | | | | | | |
-| FPB [1] | - | 0.464 | 0.775 | **0.856** | **0.856** | 0.797 | 0.462 | *0.851* |
-| FiQA-SA [2] | - | 0.822 | 0.731 | *0.836* | *0.836* | 0.713 | 0.822 | **0.844** |
-| TFNS [3] | - | 0.331 | 0.738 | *0.876* | 0.879 | 0.837 | 0.386 | **0.894** |
-| NWGI [4] | - | 0.560 | 0.588 | **0.642** | 0.638 | 0.587 | 0.583 | *0.636* |
-| Mean | | 0.544 | 0.735 | 0.803 | *0.802* | 0.733 | 0.563 | **0.806** |
-| Std | | 0.180 | **0.090** | 0.094 | *0.096* | *0.096* | 0.165 | 0.100 |
-| **Macro F1** | | | | | | | | |
-| FPB [1] | - | 0.487 | 0.745 | **0.841** | *0.837* | 0.752 | 0.517 | 0.840 |
-| FiQA-SA [2] | - | 0.560 | 0.641 | 0.746 | *0.743* | 0.641 | 0.610 | **0.752** |
-| TFNS [3] | - | 0.340 | 0.681 | *0.841* | 0.845 | 0.774 | 0.401 | **0.866** |
-| NWGI [4] | - | 0.489 | 0.579 | **0.650** | 0.645 | 0.592 | 0.539 | *0.644* |
-| Mean | | 0.469 | 0.675 | 0.769 | *0.767* | 0.690 | 0.517 | **0.776** |
-| Std | | 0.080 | **0.069** | 0.079 | 0.081 | *0.076* | 0.075 | 0.087 |
+| **Weighted F1** | BloombergGPT | ChatGPT | GPT-4 | [ChatGLM2](https://github.com/THUDM/ChatGLM2-6B) | [v3](https://huggingface.co/oliverwang15/FinGPT_ChatGLM2_Sentiment_Instruction_LoRA_FT) | [v3.1](https://huggingface.co/oliverwang15/FinGPT_v31_ChatGLM2_Sentiment_Instruction_LoRA_FT) | v3.1.1 (8bit) | v3.1.2 (QLoRA) | [Llama2](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) | [v3.2](https://huggingface.co/oliverwang15/FinGPT_v32_Llama2_Sentiment_Instruction_LoRA_FT) |
+| --------------- | :----------: | :----------------------------------------------: | :----------------------------------------------------------: | :--------------: | :----------------: | :------------------------: | :------------------------: | :------------------------: | :------------------------: | :------------------------: |
+| FPB [1] | 0.511 | 0.781 | 0.833 | 0.381 | 0.701 | **0.855** | **0.855** | 0.777 | 0.390 | *0.850* |
+| FiQA-SA [2] | 0.751 | 0.730 | 0.630 | 0.790 | 0.760 | 0.850 | *0.847* | 0.752 | 0.800 | **0.860** |
+| TFNS [3] | - | 0.736 | 0.808 | 0.189 | 0.740 | *0.875* | 0.879 | 0.828 | 0.296 | **0.894** |
+| NWGI [4] | - | - | - | 0.449 | 0.578 | **0.642** | 0.636 | 0.583 | 0.503 | *0.632* |
+| Mean | | | | 0.452 | 0.730 | 0.805 | *0.804* | 0.735 | 0.497 | **0.809** |
+| Std | | | | 0.217 | **0.091** | *0.095* | 0.098 | 0.092 | 0.189 | 0.103 |
+| **ACC/F1 Micro** | | | | | | | | | | |
+| FPB [1] | - | 0.781 | 0.834 | 0.464 | 0.775 | **0.856** | **0.856** | 0.797 | 0.462 | *0.851* |
+| FiQA-SA [2] | - | 0.662 | 0.545 | 0.822 | 0.731 | *0.836* | *0.836* | 0.713 | 0.822 | **0.844** |
+| TFNS [3] | - | 0.731 | 0.813 | 0.331 | 0.738 | *0.876* | 0.879 | 0.837 | 0.386 | **0.894** |
+| NWGI [4] | - | - | | 0.560 | 0.588 | **0.642** | 0.638 | 0.587 | 0.583 | *0.636* |
+| Mean | | | | 0.544 | 0.735 | 0.803 | *0.802* | 0.733 | 0.563 | **0.806** |
+| Std | | | | 0.180 | **0.090** | 0.094 | *0.096* | *0.096* | 0.165 | 0.100 |
+| **Macro F1** | | | | | | | | | | |
+| FPB [1] | - | 0.770 | 0.827 | 0.487 | 0.745 | **0.841** | *0.837* | 0.752 | 0.517 | 0.840 |
+| FiQA-SA [2] | - | 0.611 | 0.539 | 0.560 | 0.641 | 0.746 | *0.743* | 0.641 | 0.610 | **0.752** |
+| TFNS [3] | - | 0.693 | 0.758 | 0.340 | 0.681 | *0.841* | 0.845 | 0.774 | 0.401 | **0.866** |
+| NWGI [4] | - | | | 0.489 | 0.579 | **0.650** | 0.645 | 0.592 | 0.539 | *0.644* |
+| Mean | | | | 0.469 | 0.675 | 0.769 | *0.767* | 0.690 | 0.517 | **0.776** |
+| Std | | | | 0.080 | **0.069** | 0.079 | 0.081 | *0.076* | 0.075 | 0.087 |
**X**: Best score, X: Second best score, *X*: Third best score