update model card README.md

README.md

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 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6823
-- Accuracy: 0.7569
-- Prec: 0.6409
-- Recall: 0.6172
-- F1: 0.6274
-- B Acc: 0.6172
-- Micro F1: 0.7569
-- Prec Joy: 0.7051
-- Recall Joy: 0.7805
-- F1 Joy: 0.7409
-- Prec Anger: 0.6291
-- Recall Anger: 0.6051
+- Loss: 0.6577
+- Accuracy: 0.7631
+- Prec: 0.6548
+- Recall: 0.6054
+- F1: 0.6277
+- B Acc: 0.6054
+- Micro F1: 0.7631
+- Prec Joy: 0.7442
+- Recall Joy: 0.7318
+- F1 Joy: 0.7379
+- Prec Anger: 0.6340
+- Recall Anger: 0.6007
 - F1 Anger: 0.6169
-- Prec Disgust: 0.4830
-- Recall Disgust: 0.4163
-- F1 Disgust: 0.4472
-- Prec Fear: 0.6461
-- Recall Fear: 0.5988
-- F1 Fear: 0.6216
-- Prec Neutral: 0.8506
-- Recall Neutral: 0.8388
-- F1 Neutral: 0.8447
-- Prec Sadness: 0.6613
-- Recall Sadness: 0.6757
+- Prec Disgust: 0.4641
+- Recall Disgust: 0.4059
+- F1 Disgust: 0.4330
+- Prec Fear: 0.6923
+- Recall Fear: 0.5930
+- F1 Fear: 0.6388
+- Prec Neutral: 0.8246
+- Recall Neutral: 0.8811
+- F1 Neutral: 0.8519
+- Prec Sadness: 0.7164
+- Recall Sadness: 0.6264
 - F1 Sadness: 0.6684
-- Prec Surprise: 0.5113
-- Recall Surprise: 0.4054
-- F1 Surprise: 0.4522
+- Prec Surprise: 0.5081
+- Recall Surprise: 0.3990
+- F1 Surprise: 0.4470
 
 ## Model description