indoBERT-Large-FactChecking-Summarization / evaluation_results_notebook.json
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{
"total_samples": 13877,
"accuracy": 0.8509043741442675,
"macro_precision": 0.8192254366193239,
"macro_recall": 0.8151287416913957,
"macro_f1": 0.8171262560991883,
"average_loss": 0.8716882247996837,
"classification_report": {
"label_0": {
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"recall": 0.8995748127151245,
"f1-score": 0.8957209818053525,
"support": 9878.0
},
"label_1": {
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"recall": 0.7306826706676669,
"f1-score": 0.7385315303930241,
"support": 3999.0
},
"accuracy": 0.8509043741442675,
"macro avg": {
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"recall": 0.8151287416913957,
"f1-score": 0.8171262560991883,
"support": 13877.0
},
"weighted avg": {
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"recall": 0.8509043741442675,
"f1-score": 0.8504229623344365,
"support": 13877.0
}
},
"confusion_matrix": [
[
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],
[
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]
],
"evaluation_duration_seconds": 1649.3387715816498
}