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: 0.6574
-- Accuracy: 0.7672
-- Prec: 0.6725
-- Recall: 0.6502
-- F1: 0.6596
-- B Acc: 0.6502
-- Micro F1: 0.7672
-- Prec Joy: 0.7537
-- Recall Joy: 0.7703
-- F1 Joy: 0.7619
-- Prec Anger: 0.6368
-- Recall Anger: 0.6737
-- F1 Anger: 0.6547
-- Prec Disgust: 0.4859
-- Recall Disgust: 0.4929
-- F1 Disgust: 0.4894
-- Prec Fear: 0.7302
-- Recall Fear: 0.6363
-- F1 Fear: 0.68
-- Prec Neutral: 0.8447
-- Recall Neutral: 0.8525
-- F1 Neutral: 0.8486
-- Prec Sadness: 0.7057
-- Recall Sadness: 0.7044
-- F1 Sadness: 0.7051
-- Prec Surprise: 0.5506
-- Recall Surprise: 0.4215
-- F1 Surprise: 0.4775
+- Loss: 0.6492
+- Accuracy: 0.7693
+- Prec: 0.6783
+- Recall: 0.6473
+- F1: 0.6599
+- B Acc: 0.6473
+- Micro F1: 0.7693
+- Prec Joy: 0.7606
+- Recall Joy: 0.7609
+- F1 Joy: 0.7607
+- Prec Anger: 0.6490
+- Recall Anger: 0.6564
+- F1 Anger: 0.6527
+- Prec Disgust: 0.4785
+- Recall Disgust: 0.5179
+- F1 Disgust: 0.4974
+- Prec Fear: 0.7204
+- Recall Fear: 0.6690
+- F1 Fear: 0.6938
+- Prec Neutral: 0.8316
+- Recall Neutral: 0.8715
+- F1 Neutral: 0.8511
+- Prec Sadness: 0.7426
+- Recall Sadness: 0.6653
+- F1 Sadness: 0.7018
+- Prec Surprise: 0.5654
+- Recall Surprise: 0.3903
+- F1 Surprise: 0.4618
 
 ## Model description