Update README.md

README.md

@@ -8,7 +8,7 @@ language:
 - zh
 pretty_name: FinEval
 size_categories:
-- 10K<n<100K
+- 1K<n<10K
 viewer: false
 ---
 <p><h1> The FinEval Dataset! </h1></p>
@@ -21,10 +21,48 @@ FinEval is a collection of high-quality multiple-choice questions covering vario
 
 Each subject consists of three splits: dev, val, and test.  The dev set per subject consists of five exemplars with explanations for few-shot evaluation. The val set is intended to be used for hyperparameter tuning. And the test set is for model evaluation. Labels on the test split are not released, users are required to submit their results to automatically obtain test accuracy.
 
-### Load the data
+# Language
+
+The language of the data is  Chinese.
+
+# Performance Leaderboard
+We divide the evaluation into Answer Only and Chain of Thought. For examples of prompts for both methods, please refer to zero-shot for Answer Only, few-shot for Answer Only, and Chain of Thought.
+
+Below is the average accuracy(%) on the test split. We report the average accuracy over the subjects within each category. "Average" column indicates the average accuracy over all the subjects. Notably, we only report the results from each model under the best setting, which is determined by the highest average accuracy achieved among four settings (i.e., zero- and few-shot learning with and without CoT):
+
+| Model                  | Size    | Finance | Economy | Accounting | Certificate | Average |
+|------------------------|---------|:-------:|:-------:|:----------:|:-----------:|:-------:|
+| GPT-4                  | unknown |  71.0   |  74.5   |    59.3    |    70.4     |  68.6   |
+| ChatGPT                | 175B    |  59.3   |  61.6   |    45.2    |    55.1     |  55.0   |
+| Qwen-7B                | 7B      |  54.5   |  54.4   |    50.3    |    55.8     |  53.8   |
+| Qwen-Chat-7B           | 7B      |  51.5   |  52.1   |    44.5    |    53.6     |  50.5   |
+| Baichuan-13B-Base      | 13B     |  52.6   |  50.2   |    43.4    |    53.5     |  50.1   |
+| Baichuan-13B-Chat      | 13B     |  51.6   |  51.1   |    41.7    |    52.8     |  49.4   |
+| ChatGLM2-6B            | 6B      |  46.5   |  46.4   |    44.5    |    51.5     |  47.4   |
+| InternLM-7B            | 7B      |  49.0   |  49.2   |    40.5    |    49.4     |  47.1   |
+| InternLM-Chat-7B       | 7B      |  48.4   |  49.1   |    40.8    |    49.5     |  47.0   |
+| LLaMA-2-Chat-70B       | 70B     |  47.1   |  46.7   |    41.5    |    45.7     |  45.2   |
+| Falcon-40B             | 40B     |  45.4   |  43.2   |    35.8    |    44.8     |  42.4   |
+| Baichuan-7B            | 7B      |  44.9   |  41.5   |    34.9    |    45.6     |  42.0   |
+| LLaMA-2-Chat-13B       | 13B     |  41.6   |  38.4   |    34.1    |    42.1     |  39.3   |
+| Ziya-LLaMA-13B-v1      | 13B     |  43.3   |  36.9   |    34.3    |    41.2     |  39.3   |
+| Bloomz-7b1-mt          | 7B      |  41.4   |  42.1   |    32.5    |    39.7     |  38.8   |
+| LLaMA-2-13B            | 13B     |  39.5   |  38.6   |    31.6    |    39.6     |  37.4   |
+| ChatGLM-6B             | 6B      |  38.8   |  36.2   |    33.8    |    39.1     |  37.2   |
+| Chinese-Llama-2-7B     | 7B      |  37.8   |  37.8   |    31.4    |    36.7     |  35.9   |
+| Chinese-Alpaca-Plus-7B | 7B      |  30.5   |  33.4   |    32.7    |    38.5     |  34.0   |
+| moss-moon-003-sft      | 16B     |  35.6   |  34.3   |    28.7    |    35.6     |  33.7   |
+| LLaMA-2-Chat-7B        | 7B      |  35.6   |  31.8   |    31.9    |    34.0     |  33.5   |
+| LLaMA-2-7B             | 7B      |  34.9   |  36.4   |    31.4    |    31.6     |  33.4   |
+| AquilaChat-7B          | 7B      |  34.2   |  31.3   |    29.8    |    36.2     |  33.1   |
+| moss-moon-003-base     | 16B     |  32.2   |  33.1   |    29.2    |    30.7     |  31.2   |
+| Aquila-7B              | 7B      |  27.1   |  31.6   |    32.4    |    33.6     |  31.2   |
+| LLaMA-13B              | 13B     |  33.1   |  29.7   |    27.2    |    33.6     |  31.1   |
+| Falcon-7B              | 7B      |  28.5   |  28.2   |    27.5    |    27.4     |  27.9   |
+
+# Load the data
 ```python
 from datasets import load_dataset
 dataset=load_dataset(r"SUFE-AIFLM-Lab/FinEval",name="finance")
 
-```
-
+```