6153b5f46390b1112c333647102ca0c715e0a062,finetune/util/metrics.py,,micro_f1,#Any#Any#Any#,148

Before Change

        FN += len(counts["false_negatives"])
        TP += len(counts["correct"])
        FP += len(counts["false_positives"])
    recall = TP/float(FN + TP)
    precision = TP / float(FP + TP)
    try:
        f1 = 2 * (recall * precision) / (recall + precision)
    except ZeroDivisionError:

After Change

def micro_f1(true, predicted, span_type="token"):
    count_fn = get_seq_count_fn(span_type)
    class_counts = count_fn(true, predicted)
    TP, FP, FN = 0, 0, 0
    for cls_, counts in class_counts.items():
        FN += len(counts["false_negatives"])

Instances