roberta-base-tweetner7-all / eval /metric.test_2021.json
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model update
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{"micro/f1": 0.6515831894070236, "micro/f1_ci": {"90": [0.6426248846161623, 0.6611146727643068], "95": [0.6408583849998567, 0.6629609445072536]}, "micro/recall": 0.6543709528214616, "micro/precision": 0.6488190781930749, "macro/f1": 0.6081318073591985, "macro/f1_ci": {"90": [0.5982720247328263, 0.6181304060646944], "95": [0.5956407088917159, 0.6196130125852912]}, "macro/recall": 0.6155807376978756, "macro/precision": 0.6024892144112918, "per_entity_metric": {"corporation": {"f1": 0.5174234424498415, "f1_ci": {"90": [0.4936648515870705, 0.5437348601262041], "95": [0.4885022949243286, 0.5471504446094865]}, "precision": 0.49295774647887325, "recall": 0.5444444444444444}, "creative_work": {"f1": 0.466403162055336, "f1_ci": {"90": [0.4365426214916792, 0.49570670195121297], "95": [0.430553631074086, 0.5016692736109198]}, "precision": 0.4498094027954257, "recall": 0.4842681258549932}, "event": {"f1": 0.46727272727272723, "f1_ci": {"90": [0.4454429687968715, 0.4903171853702863], "95": [0.44099256614662297, 0.4949513525562855]}, "precision": 0.46684831970935514, "recall": 0.467697907188353}, "group": {"f1": 0.6071197411003236, "f1_ci": {"90": [0.5861576908243826, 0.6289925904123155], "95": [0.5836863413397794, 0.6323354921624595]}, "precision": 0.5966921119592875, "recall": 0.6179183135704874}, "location": {"f1": 0.6832786885245901, "f1_ci": {"90": [0.6571720974465681, 0.7109068486625629], "95": [0.6508663190665896, 0.7162931067002565]}, "precision": 0.6440049443757726, "recall": 0.7276536312849162}, "person": {"f1": 0.8377301195672804, "f1_ci": {"90": [0.8276980959235751, 0.8485767478830628], "95": [0.8260255921110556, 0.8508092332281014]}, "precision": 0.8631208447399296, "recall": 0.8137905604719764}, "product": {"f1": 0.6776947705442904, "f1_ci": {"90": [0.6553902251490492, 0.699632094409221], "95": [0.6517642249373523, 0.7046841960928648]}, "precision": 0.7039911308203991, "recall": 0.6532921810699589}}}