Update README.md

README.md

@@ -99,17 +99,17 @@ We evaluated this model on the Indo-Aryan subset of languages (Panjabi, Oriya, A
 ### IndicGLUE
 Task | mBERT | XLM-R | IndicBERT-Base | XLMIndic-Base-Uniscript | XLMIndic-Base-Multiscript (This Model)
 -----| ----- | ----- | ------ | ------- | --------
-Wikipedia Section Title Prediction| 71.90 | 65.45 | 69.40 | **81.78 ± 0.60** | 77.17 ± 0.76
+Wikipedia Section Title Prediction | 71.90 | 65.45 | 69.40 | **81.78 ± 0.60** | 77.17 ± 0.76
 Article Genre Classification | 88.64 | 96.61 | 97.72 | **98.70 ± 0.29** | 98.30 ± 0.26
 Named Entity Recognition (F1-score) | 71.29 | 62.18 | 56.69 | **89.85 ± 1.14** |  83.19 ± 1.58
 BBC Hindi News Article Classification | 60.55 | 75.52 | 74.60 | **79.14 ± 0.60** | 77.28 ± 1.50
 Soham Bangla News Article Classification | 80.23 | 87.6 | 78.45 | **93.89 ± 0.48** | 93.22 ± 0.49
-INLTK Gujarati Headlines | - | - | **92.91** | 90.73 ± 0.75 | 90.41 ± 0.69
-INLTK Marathi Headlines | - | - | **94.30** | 92.04 ± 0.47 | 92.21 ± 0.23
+INLTK Gujarati Headlines Genre Classification | - | - | **92.91** | 90.73 ± 0.75 | 90.41 ± 0.69
+INLTK Marathi Headlines Genre Classification | - | - | **94.30** | 92.04 ± 0.47 | 92.21 ± 0.23
 IITP Hindi Product Reviews Sentiment Classification | 74.57 | **78.97** | 71.32 | 77.18 ± 0.77 | 76.33 ± 0.84
 IITP Hindi Movie Reviews Sentiment Classification | 56.77 | 61.61 | 59.03 | **66.34 ± 0.16** | 65.91 ± 2.20
-MIDAS Hindi Discourse Classification | 71.20 | **79.94** | 78.44 | 78.54 ± 0.91 | 78.39 ± 0.33
-Cloze Style Question Answering | - | - | 37.16 | **41.54** | 38.21
+MIDAS Hindi Discourse Type Classification | 71.20 | **79.94** | 78.44 | 78.54 ± 0.91 | 78.39 ± 0.33
+Cloze Style Question Answering (Fill-mask task) | - | - | 37.16 | **41.54** | 38.21
 
 ## Intended uses & limitations
 This model is pretrained on Indo-Aryan languages. Thus it is intended to be used for downstream tasks on these languages.