Update README.md

README.md

@@ -19,6 +19,7 @@ datasets:
 Based on microsoft/deberta-v3-large, this model was trained on the snli-v1.0, multi-nli-1.0, nli-fever and anli-1.0-r1/anli-1.0-r2/anli-1.0-r3 datasets, with the training weights of 1,1,1,10,20,10 respectively.  
 The training codes are mostly referenced from: https://github.com/facebookresearch/anli
 
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 #### Hyperparameters
 learning_rate: 1e-5  
 max_length: 156  
@@ -27,13 +28,14 @@ warmup_ratio: 0.1
 weight_decay: 0.0   
 num_epochs: 2
 
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 #### Dev results
 snli-v1.0 | multi-nli-1.0-m | multi-nli-1.0-mm | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
 ----------|-----------------|------------------|-------------|-------------|------------
 0.938 | 0.914 | 0.912 | 0.796 | 0.627 | 0.610
 
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 #### Test results
-Results of the test sets are shown together with some other official pre-trained model checkpoints.  
 Model | snli-v1.0 | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
 ------|-----------|-------------|-------------|------------
 ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.736 | 0.493 | 0.455