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: 0.6945
-- Accuracy: 0.7549
-- Prec: 0.6320
-- Recall: 0.6106
-- F1: 0.6199
-- B Acc: 0.6106
-- Micro F1: 0.7549
-- Prec Joy: 0.7138
-- Recall Joy: 0.7631
-- F1 Joy: 0.7376
-- Prec Anger: 0.6130
-- Recall Anger: 0.6316
-- F1 Anger: 0.6222
-- Prec Disgust: 0.4396
-- Recall Disgust: 0.4038
-- F1 Disgust: 0.4209
-- Prec Fear: 0.6623
-- Recall Fear: 0.5886
-- F1 Fear: 0.6233
-- Prec Neutral: 0.8481
-- Recall Neutral: 0.8428
-- F1 Neutral: 0.8455
-- Prec Sadness: 0.6626
-- Recall Sadness: 0.6619
-- F1 Sadness: 0.6622
-- Prec Surprise: 0.4846
-- Recall Surprise: 0.3824
-- F1 Surprise: 0.4274
+- Loss: 0.6852
+- Accuracy: 0.7581
+- Prec: 0.6440
+- Recall: 0.6039
+- F1: 0.6206
+- B Acc: 0.6039
+- Micro F1: 0.7581
+- Prec Joy: 0.7167
+- Recall Joy: 0.7642
+- F1 Joy: 0.7397
+- Prec Anger: 0.6203
+- Recall Anger: 0.6289
+- F1 Anger: 0.6246
+- Prec Disgust: 0.4767
+- Recall Disgust: 0.3849
+- F1 Disgust: 0.4259
+- Prec Fear: 0.6752
+- Recall Fear: 0.5813
+- F1 Fear: 0.6247
+- Prec Neutral: 0.8418
+- Recall Neutral: 0.8525
+- F1 Neutral: 0.8471
+- Prec Sadness: 0.6674
+- Recall Sadness: 0.6614
+- F1 Sadness: 0.6644
+- Prec Surprise: 0.5101
+- Recall Surprise: 0.3542
+- F1 Surprise: 0.4181
 
 ## Model description