t5-english-ner / eval_classification_report.json
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{
"COMMERCIAL_ITEM": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 1.0
},
"DATE": {
"precision": 0.8125,
"recall": 0.9285714285714286,
"f1-score": 0.8666666666666666,
"support": 14.0
},
"LOCATION": {
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"recall": 0.75,
"f1-score": 0.7317073170731706,
"support": 20.0
},
"ORGANIZATION": {
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"recall": 0.9125,
"f1-score": 0.8848484848484848,
"support": 80.0
},
"OTHER": {
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"recall": 0.3333333333333333,
"f1-score": 0.35,
"support": 21.0
},
"PERSON": {
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"recall": 0.9310344827586207,
"f1-score": 0.8709677419354839,
"support": 29.0
},
"QUANTITY": {
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"recall": 0.8571428571428571,
"f1-score": 0.8275862068965518,
"support": 14.0
},
"TITLE": {
"precision": 0.0,
"recall": 0.0,
"f1-score": 0.0,
"support": 7.0
},
"micro avg": {
"precision": 0.75,
"recall": 0.7903225806451613,
"f1-score": 0.7696335078534032,
"support": 186.0
},
"macro avg": {
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"recall": 0.5890727627257799,
"f1-score": 0.5664720521775447,
"support": 186.0
},
"weighted avg": {
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"recall": 0.7903225806451613,
"f1-score": 0.762094784276109,
"support": 186.0
}
}