Update README.md

README.md

@@ -9,9 +9,9 @@ tags:
 - zero-shot
 ---
 
-# Erlangshen-RoBERTa-110M-UniMC-Chinese
+# Erlangshen-UniMC-RoBERTa-110M-Chinese
 
-- Paper: [Zero-Shot Learners for Nature Language Understanding via a Unified Multiple Choice Perspective](https://github.com/IDEA-CCNL/Fengshenbang-LM)
+- Paper: [Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective](https://github.com/IDEA-CCNL/Fengshenbang-LM)
 - Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM/tree/main/fengshen/examples/unimc/)
 - Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
 
@@ -45,9 +45,9 @@ avoiding problems in commonly used large generative models such as FLAN. It not
 | LM-BFF     | 85.6       | 54.4     | 53        | 47.1     | 41.6      | 57.6      | 61.2      | 51.7     | 54.7      | 56.32     |
 | P-tuning   | 88.3       | 56       | 54.2      | **57.6** | 41.9      | 60.9      | 59.3      | **62.9** | 58.1      | 59.91     |
 | EFL        | 84.9       | 45       | 52.1      | 42.7     | 66.2      | 71.8      | 30.9      | 56.6     | 53        | 55.91     |
-| [UniMC-110M](https://huggingface.co/IDEA-CCNL/Erlangshen-RoBERTa-110M-UniMC-Chinese) | 88.64      | 54.08    | 54.32     | 48.6     | 66.55     | 73.76     | 67.71     | 52.54    | 59.92     | 62.86     |
-| [UniMC-330M](https://huggingface.co/IDEA-CCNL/Erlangshen-RoBERTa-330M-UniMC-Chinese) | 89.53      | 57.3     | 54.25     | 50       | 70.59     | 77.49     | 78.09     | 55.73    | 65.16     | 66.46     |
-| [UniMC-1.3B](https://huggingface.co/IDEA-CCNL/Erlangshen-MegatronBERT-1.3B-UniMC-Chinese) | **89.278** | **60.9** | **57.46** | 52.89    | **76.33** | **80.37** | **90.33** | 61.73    | **79.15** | **72.05** |
+| [UniMC-RoBERTa-110M](https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-RoBERTa-110M-Chinese) | 88.64      | 54.08    | 54.32     | 48.6     | 66.55     | 73.76     | 67.71     | 52.54    | 59.92     | 62.86     |
+| [UniMC-RoBERTa-330M](https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-RoBERTa-330M-Chinese) | 89.53      | 57.3     | 54.25     | 50       | 70.59     | 77.49     | 78.09     | 55.73    | 65.16     | 66.46     |
+| [UniMC-MegatronBERT-1.3B](https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-MegatronBERT-1.3B-Chinese) | **89.278** | **60.9** | **57.46** | 52.89    | **76.33** | **80.37** | **90.33** | 61.73    | **79.15** | **72.05** |
 
 **Zero-shot**
 
@@ -59,9 +59,9 @@ avoiding problems in commonly used large generative models such as FLAN. It not
 | ZeroPrompt    | -         | -         | -         | 16.14     | 46.16     | -        | -        | -        | 47.98     | -         |
 |  Yuan1.0-13B  | 88.13     | 38.99     | 57.47     | 38.82     | 48.13     | 59.38    | 86.14    | 50       | 38.99     | 56.22     |
 | ERNIE3.0-240B | 88.75     | **50.97** | **57.83** | **40.42** | 53.57     | 64.38    | 87.13    | 56.25    | 53.46     | 61.41     |
-| [UniMC-110M](https://huggingface.co/IDEA-CCNL/Erlangshen-RoBERTa-110M-UniMC-Chinese)    | 86.16     | 31.26     | 46.61     | 26.54     | 66.91     | 73.34    | 66.68    | 50.09    | 53.66     | 55.7      |
-| [UniMC-330M](https://huggingface.co/IDEA-CCNL/Erlangshen-RoBERTa-330M-UniMC-Chinese)     | 87.5      | 30.4      | 47.6      | 31.5      | 69.9      | 75.9     | 78.17    | 49.5     | 60.55     | 59.01     |
-| [UniMC-1.3B](https://huggingface.co/IDEA-CCNL/Erlangshen-MegatronBERT-1.3B-UniMC-Chinese)     | **88.79** | 42.06     | 55.21     | 33.93     | **75.57** | **79.5** | **89.4** | 50.25    | **66.67** | **64.53** |
+| [UniMC-RoBERTa-110M](https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-RoBERTa-110M-Chinese)    | 86.16     | 31.26     | 46.61     | 26.54     | 66.91     | 73.34    | 66.68    | 50.09    | 53.66     | 55.7      |
+| [UniMC-RoBERTa-330M](https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-RoBERTa-330M-Chinese)     | 87.5      | 30.4      | 47.6      | 31.5      | 69.9      | 75.9     | 78.17    | 49.5     | 60.55     | 59.01     |
+| [UniMC-MegatronBERT-1.3B](https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-MegatronBERT-1.3B-Chinese)     | **88.79** | 42.06     | 55.21     | 33.93     | **75.57** | **79.5** | **89.4** | 50.25    | **66.67** | **64.53** |
 
 
 
@@ -75,13 +75,13 @@ pip install --editable .
 
 ```python3
 import argparse
-from fengshen import UniMCPiplines
+from fengshen.pipelines.multiplechoice import UniMCPiplines
 
 
 total_parser = argparse.ArgumentParser("TASK NAME")
 total_parser = UniMCPiplines.piplines_args(total_parser)
 args = total_parser.parse_args()
-args.pretrained_model_path = 'IDEA-CCNL/Erlangshen-RoBERTa-110M-UniMC-Chinese'
+args.pretrained_model_path = 'IDEA-CCNL/Erlangshen-UniMC-RoBERTa-110M-Chinese'
 args.learning_rate=2e-5
 args.max_length=512
 args.max_epochs=3