Radgraph-IT / model /training_metrics.json
Daniel Rabottini
Initial RadGraph-IT release
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{
"description": "Diagnostic metrics measured on the full training set at the final epoch; these are not held-out evaluation results.",
"epochs_completed": 13,
"final_epoch_index": 12,
"training_loss": 37.17397039800772,
"training_ner": {
"precision": 0.9417513858489988,
"recall": 0.9489333635632871,
"micro_f1": 0.9453287339328981,
"macro_f1": 0.6892368337795368,
"per_class_f1": {
"Anatomy::definitely present": 0.9673097061532445,
"Observation::definitely present": 0.9281885564742222,
"Observation::definitely absent": 0.9447680909367706,
"Observation::uncertain": 0.8428728514381619,
"Anatomy::definitely absent": 0.4424778761061947,
"Anatomy::uncertain": 0.00980392156862745
}
},
"training_relations": {
"precision": 0.9079743979570305,
"recall": 0.8990052123231533,
"micro_f1": 0.9034675452622059,
"macro_f1": 0.8948061133959642,
"per_class_f1": {
"modify": 0.9055610089198072,
"located_at": 0.9025979301044696,
"suggestive_of": 0.8762594011636158
}
},
"training_joint_f1": 0.924398139597552
}