multicite-multilabel-scibert / eval_results.txt
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per_class = {'background': (0.8418604651162791, 0.7793326157158235, 0.8093907210732252, None), 'future_work': (1.0, 0.32, 0.48484848484848486, None), 'differences': (0.7488151658767772, 0.7523809523809524, 0.7505938242280286, None), 'extends': (0.624, 0.4727272727272727, 0.5379310344827586, None), 'uses': (0.76010101010101, 0.7591424968474149, 0.759621451104101, None), 'similarities': (0.711864406779661, 0.391304347826087, 0.5050100200400801, None), 'motivation': (0.6214285714285714, 0.4702702702702703, 0.5353846153846155, None)}
strict = 0.6260727421332244
weak = 0.7821822639967307