Add evaluation results on trec dataset

README.md

@@ -1,13 +1,69 @@
 ---
-language: 
+language:
 - en
-thumbnail: 
+thumbnail: null
 tags:
 - text-classification
 license: mit
 datasets:
 - trec
-metrics:
+metrics: null
+model-index:
+- name: aychang/bert-base-cased-trec-coarse
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: trec
+      type: trec
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.974
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9793164100816639
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.974
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9746805065928548
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9783617516169679
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.974
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.974
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9783635353409951
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.974
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.97377371266232
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.13812002539634705
+      verified: true
 ---
 
 # bert-base-cased trained on TREC 6-class task