tner-xlm-roberta-base-ontonotes5 / test_ontonotes5.json
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{"valid": {"f1": 86.98359051896652, "recall": 88.57893306765692, "precision": 85.4446968373231, "summary": " precision recall f1-score support\n\n cardinal number 0.82 0.88 0.85 937\n date 0.83 0.87 0.85 1507\n event 0.63 0.55 0.59 143\n facility 0.54 0.64 0.59 115\ngeopolitical area 0.94 0.93 0.94 2262\n group 0.90 0.93 0.91 847\n language 0.86 0.73 0.79 33\n law 0.46 0.70 0.55 40\n location 0.67 0.74 0.70 204\n money 0.90 0.93 0.92 274\n ordinal number 0.83 0.86 0.85 232\n organization 0.86 0.86 0.86 1728\n percent 0.89 0.89 0.89 177\n person 0.91 0.96 0.93 2014\n product 0.55 0.67 0.60 72\n quantity 0.79 0.81 0.80 100\n time 0.68 0.79 0.73 214\n work of art 0.42 0.54 0.48 142\n\n micro avg 0.85 0.89 0.87 11041\n macro avg 0.75 0.79 0.77 11041\n weighted avg 0.86 0.89 0.87 11041\n"}, "test": {"f1": 89.0153671030165, "recall": 90.35641276330992, "precision": 87.71354616048318, "summary": " precision recall f1-score support\n\n cardinal number 0.85 0.88 0.86 934\n date 0.84 0.89 0.86 1601\n event 0.61 0.65 0.63 63\n facility 0.76 0.74 0.75 135\ngeopolitical area 0.96 0.96 0.96 2240\n group 0.89 0.94 0.92 841\n language 0.75 0.55 0.63 22\n law 0.63 0.60 0.62 40\n location 0.70 0.80 0.74 179\n money 0.85 0.90 0.87 314\n ordinal number 0.81 0.92 0.86 195\n organization 0.89 0.89 0.89 1792\n percent 0.89 0.92 0.90 348\n person 0.93 0.96 0.95 1988\n product 0.65 0.72 0.69 76\n quantity 0.77 0.81 0.79 105\n time 0.60 0.66 0.63 212\n work of art 0.60 0.60 0.60 166\n\n micro avg 0.88 0.90 0.89 11251\n macro avg 0.78 0.80 0.79 11251\n weighted avg 0.88 0.90 0.89 11251\n"}}