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: 0.7741
-- Accuracy: 0.7210
-- Prec: 0.6832
-- Recall: 0.6609
-- F1: 0.6698
-- B Acc: 0.6609
-- Micro F1: 0.7210
-- Prec Joy: 0.8221
-- Recall Joy: 0.8682
-- F1 Joy: 0.8445
-- Prec Anger: 0.6207
-- Recall Anger: 0.6629
-- F1 Anger: 0.6411
-- Prec Disgust: 0.5579
-- Recall Disgust: 0.4153
-- F1 Disgust: 0.4762
-- Prec Fear: 0.8032
-- Recall Fear: 0.7111
-- F1 Fear: 0.7543
-- Prec Neutral: 0.7040
-- Recall Neutral: 0.6528
-- F1 Neutral: 0.6774
-- Prec Sadness: 0.7279
-- Recall Sadness: 0.7634
-- F1 Sadness: 0.7452
-- Prec Surprise: 0.5466
-- Recall Surprise: 0.5525
-- F1 Surprise: 0.5496
+- Loss: 0.7708
+- Accuracy: 0.7226
+- Prec: 0.6770
+- Recall: 0.6754
+- F1: 0.6758
+- B Acc: 0.6754
+- Micro F1: 0.7226
+- Prec Joy: 0.8170
+- Recall Joy: 0.8717
+- F1 Joy: 0.8435
+- Prec Anger: 0.6503
+- Recall Anger: 0.6330
+- F1 Anger: 0.6415
+- Prec Disgust: 0.5151
+- Recall Disgust: 0.4920
+- F1 Disgust: 0.5033
+- Prec Fear: 0.7595
+- Recall Fear: 0.7766
+- F1 Fear: 0.7680
+- Prec Neutral: 0.7003
+- Recall Neutral: 0.6541
+- F1 Neutral: 0.6764
+- Prec Sadness: 0.7354
+- Recall Sadness: 0.7598
+- F1 Sadness: 0.7474
+- Prec Surprise: 0.5613
+- Recall Surprise: 0.5406
+- F1 Surprise: 0.5508
 
 ## Model description