xlmr-large-ar-CLS-BT / test_eval.txt
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Default classification report:
precision recall f1-score support
F 0.7327 0.7180 0.7253 500
T 0.7235 0.7380 0.7307 500
accuracy 0.7280 1000
macro avg 0.7281 0.7280 0.7280 1000
weighted avg 0.7281 0.7280 0.7280 1000
ADJ
Accuracy = 0.673469387755102
Weighted Recall = 0.673469387755102
Weighted Precision = 0.6863269620744703
Weighted F1 = 0.6727891156462584
Macro Recall = 0.6796645702306079
Macro Precision = 0.681183932346723
Macro F1 = 0.6733333333333333
ADV
Accuracy = 0.8
Weighted Recall = 0.8
Weighted Precision = 0.64
Weighted F1 = 0.7111111111111111
Macro Recall = 0.5
Macro Precision = 0.4
Macro F1 = 0.4444444444444445
NOUN
Accuracy = 0.7550607287449392
Weighted Recall = 0.7550607287449392
Weighted Precision = 0.7571685470767442
Weighted F1 = 0.7547442710361182
Macro Recall = 0.7555409836065574
Macro Precision = 0.7568674301722007
Macro F1 = 0.7548346875243528
VERB
Accuracy = 0.7060301507537688
Weighted Recall = 0.7060301507537688
Weighted Precision = 0.7082062735329068
Weighted F1 = 0.7055004887440509
Macro Recall = 0.7064802889107761
Macro Precision = 0.707977207977208
Macro F1 = 0.7056119965355705