Update README.md

README.md

@@ -19,16 +19,24 @@ 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.
 
 #### Hyperparameters
-learning_rate: 1e-5
-\max_length: 156
-\batch_size: 16
-\warmup_ratio: 0.1
-\weight_decay: 0.0
-\num_epochs: 2
+learning_rate: 1e-5 \n
+max_length: 156
+batch_size: 16
+warmup_ratio: 0.1
+weight_decay: 0.0
+num_epochs: 2
 
 #### dev_results
-snli-v1.0 | multi-nli-1.0-m | multi-nli-1.0-mm | nli-fever | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
-----------|-----------------|------------------|-----------|-------------|-------------|------------
-0.9383 | 0.9144 | 0.9118 | ? | 0.796 | 0.627 | 0.610
+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
 
-#### test_results
+#### 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
+ynie/xlnet-large-cased-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.700 | 0.514 | 0.498
+ynie/albert-xxlarge-v2-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.736 | 0.586 | 0.534
+deberta-v3-large-snli_mnli_fever_anli_R1_R2_R3-nli | 0.929 | 0.775 | 0.636 | 0.612