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Update README.md

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@@ -66,27 +66,35 @@ This yields the following output:
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  ### Results
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- - F-score (micro) 0.8403
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- - F-score (macro) 0.8656
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- - Accuracy 0.7357
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  ```
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  By class:
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  precision recall f1-score support
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- LOC 0.8789 0.8589 0.8688 4083
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- ORG 0.8390 0.7653 0.8005 3166
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- PER 0.8395 0.8169 0.8280 2741
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- DAT 0.8648 0.7957 0.8288 1150
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- MON 0.9758 0.9020 0.9374 357
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- TIM 0.8500 0.8193 0.8344 166
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- PCT 0.9615 0.9615 0.9615 156
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-
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- micro avg 0.8616 0.8200 0.8403 11819
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- macro avg 0.8871 0.8456 0.8656 11819
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- weighted avg 0.8613 0.8200 0.8400 11819
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- samples avg 0.7357 0.7357 0.7357 11819
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-
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- Loss: 0.06893542408943176
 
 
 
 
 
 
 
 
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  ```
 
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  ---
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  ### Results
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+ - F-score (micro) 0.9773
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+ - F-score (macro) 0.9461
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+ - Accuracy 0.9773
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  ```
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  By class:
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  precision recall f1-score support
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+ NOUN 0.9770 0.9849 0.9809 6420
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+ ADP 0.9947 0.9916 0.9932 1909
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+ ADJ 0.9342 0.9128 0.9234 1525
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+ PUNCT 1.0000 1.0000 1.0000 1365
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+ VERB 0.9840 0.9711 0.9775 1141
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+ CCONJ 0.9912 0.9937 0.9925 794
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+ AUX 0.9622 0.9799 0.9710 546
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+ PRON 0.9751 0.9865 0.9808 517
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+ SCONJ 0.9797 0.9757 0.9777 494
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+ NUM 0.9948 1.0000 0.9974 385
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+ ADV 0.9343 0.9033 0.9185 362
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+ DET 0.9773 0.9711 0.9742 311
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+ PART 0.9916 1.0000 0.9958 237
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+ INTJ 0.8889 0.8000 0.8421 10
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+ X 0.7143 0.6250 0.6667 8
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+
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+ micro avg 0.9773 0.9773 0.9773 16024
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+ macro avg 0.9533 0.9397 0.9461 16024
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+ weighted avg 0.9772 0.9773 0.9772 16024
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+ samples avg 0.9773 0.9773 0.9773 16024
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+
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+ Loss: 0.12471389770507812
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  ```