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report_failed_experiment3: infCheXbert_full_integrated_3_obs.log
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Batch size: 16
The number of training instances: 99371
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 100, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 200, Avg loss: 1.523
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 300, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 400, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 500, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 600, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 700, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1100, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1200, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1300, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1600, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1700, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 1900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2000, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2100, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2200, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2500, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2600, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2700, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2800, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 2900, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3100, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3200, Avg loss: 1.523
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3500, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3600, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3700, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 3900, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4000, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4100, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4200, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4400, Avg loss: 1.534
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4500, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4600, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4700, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 4900, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5000, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5100, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5200, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5300, Avg loss: 1.535
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5500, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5600, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5700, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 5900, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 6000, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 6100, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 1, Training steps: 6200, Avg loss: 1.532
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
Start evaluation on evaluation dataset.
Loading sentences from ./datasets/CheXpert/impression/validation.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
The number of evaluation instances: 33124
Confusion matrix of {label_name}:
tensor([[ 0, 0, 0, 0],
[ 0, 0, 0, 0],
[ 0, 0, 0, 0],
[24748, 6495, 204, 1677]])
Report precision, recall, and f1:
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 100, Avg loss: 1.698
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 200, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 300, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 400, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 500, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 600, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 700, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 900, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1100, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1200, Avg loss: 1.523
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1400, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1600, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1700, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 1900, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2100, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2200, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2500, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2600, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2700, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2800, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 2900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3000, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3100, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3200, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3300, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3400, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3600, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3700, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 3900, Avg loss: 1.520
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4000, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4100, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4200, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4300, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4400, Avg loss: 1.537
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4600, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4700, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 4900, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5000, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5100, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5200, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5300, Avg loss: 1.535
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5400, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5500, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5600, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5700, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 5900, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 6000, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 6100, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 2, Training steps: 6200, Avg loss: 1.530
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 100, Avg loss: 1.698
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 200, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 400, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 500, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 600, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 700, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 900, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1100, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1200, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1400, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1500, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1600, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1700, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1800, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 1900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2000, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2100, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2200, Avg loss: 1.523
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2400, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2600, Avg loss: 1.533
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2700, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2800, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 2900, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3000, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3100, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3200, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3300, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3400, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3500, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3600, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3700, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 3900, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4000, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4100, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4200, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4300, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4400, Avg loss: 1.534
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4500, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4600, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4700, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4800, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 4900, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5000, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5100, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5200, Avg loss: 1.533
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5300, Avg loss: 1.537
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5400, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5500, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5600, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5700, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5800, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 5900, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 6000, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 6100, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 3, Training steps: 6200, Avg loss: 1.531
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 100, Avg loss: 1.700
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 200, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 400, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 500, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 600, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 700, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 800, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1000, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1100, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1200, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1400, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1600, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1700, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 1900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2100, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2200, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2600, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2700, Avg loss: 1.520
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2800, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 2900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3000, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3100, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3200, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3500, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3600, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3700, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 3900, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4000, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4100, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4200, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4300, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4400, Avg loss: 1.535
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4500, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4600, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4700, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 4900, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5000, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5100, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5200, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5300, Avg loss: 1.537
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5500, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5600, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5700, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5800, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 5900, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 6000, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 6100, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 4, Training steps: 6200, Avg loss: 1.532
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 100, Avg loss: 1.699
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 200, Avg loss: 1.523
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 300, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 400, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 500, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 600, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 700, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 800, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1100, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1200, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1300, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1400, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1500, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1600, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1700, Avg loss: 1.531
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1800, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 1900, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2100, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2200, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2300, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2400, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2600, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2700, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2800, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 2900, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3000, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3100, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3200, Avg loss: 1.522
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3300, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3400, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3500, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3600, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3700, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 3900, Avg loss: 1.521
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4000, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4100, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4200, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4300, Avg loss: 1.525
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4400, Avg loss: 1.534
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4500, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4600, Avg loss: 1.530
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4700, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4800, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 4900, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5000, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5100, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5200, Avg loss: 1.532
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5300, Avg loss: 1.536
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5400, Avg loss: 1.528
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5500, Avg loss: 1.529
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5600, Avg loss: 1.527
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5700, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5800, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 5900, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 6000, Avg loss: 1.524
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 6100, Avg loss: 1.526
labelsname: label_Atelectasis, Epoch id: 5, Training steps: 6200, Avg loss: 1.532
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
Final evaluation on the evaluation dataset.
Loading sentences from ./datasets/CheXpert/impression/validation.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
The number of evaluation instances: 33124
Confusion matrix of {label_name}:
tensor([[ 0, 0, 0, 0],
[ 0, 0, 0, 0],
[ 0, 0, 0, 0],
[24748, 6495, 204, 1677]])
Report precision, recall, and f1:
model never predicts label value 0
labelsname: label_Atelectasis, Label_value 0: 0.000, 0.000, 0.000
model never predicts label value 1
labelsname: label_Atelectasis, Label_value 1: 0.000, 0.000, 0.000
model never predicts label value 2
labelsname: label_Atelectasis, Label_value 2: 0.000, 0.000, 0.000
labelsname: label_Atelectasis, Label_value 3: 0.051, 0.051, 0.051
Acc. (Correct/Total): 0.0506 (1677/33124)
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 300, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 500, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1300, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1800, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 1900, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2000, Avg loss: 1.403
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2800, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 2900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3000, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3200, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3300, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 3900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4200, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4300, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4700, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 4900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5200, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 5900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 6000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 6100, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 1, Training steps: 6200, Avg loss: 1.401
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
labelsname: label_Cardiomegaly, Label_value 0: 0.729, 0.729, 0.729
labelsname: label_Cardiomegaly, Label_value 1: 0.036, 0.036, 0.036
labelsname: label_Cardiomegaly, Label_value 2: 0.019, 0.019, 0.019
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0360 (1193/33124)
Start evaluation on evaluation dataset.
Loading sentences from ./datasets/CheXpert/impression/validation.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
The number of evaluation instances: 33124
Confusion matrix of {label_name}:
tensor([[ 151, 40, 9, 3],
[ 7935, 271, 62, 43],
[ 828, 114, 18, 28],
[15338, 5558, 1991, 735]])
Report precision, recall, and f1:
labelsname: label_Cardiomegaly, Label_value 0: 0.744, 0.744, 0.744
labelsname: label_Cardiomegaly, Label_value 1: 0.033, 0.033, 0.033
labelsname: label_Cardiomegaly, Label_value 2: 0.018, 0.018, 0.018
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0355 (1175/33124)
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 100, Avg loss: 1.556
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 200, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 300, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 800, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 900, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1500, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 1900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2800, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 2900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3000, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3200, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3500, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3700, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3800, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 3900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4300, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 4900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5600, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5800, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 5900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 6000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 6100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 2, Training steps: 6200, Avg loss: 1.400
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
labelsname: label_Cardiomegaly, Label_value 0: 0.729, 0.729, 0.729
labelsname: label_Cardiomegaly, Label_value 1: 0.036, 0.036, 0.036
labelsname: label_Cardiomegaly, Label_value 2: 0.019, 0.019, 0.019
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0360 (1193/33124)
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 100, Avg loss: 1.557
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 200, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1100, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1300, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1800, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 1900, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2000, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2300, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 2900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3000, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3200, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3700, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 3900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4700, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 4900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5200, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 5900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 6000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 6100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 3, Training steps: 6200, Avg loss: 1.402
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
labelsname: label_Cardiomegaly, Label_value 0: 0.729, 0.729, 0.729
labelsname: label_Cardiomegaly, Label_value 1: 0.036, 0.036, 0.036
labelsname: label_Cardiomegaly, Label_value 2: 0.019, 0.019, 0.019
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0360 (1193/33124)
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 100, Avg loss: 1.554
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 200, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 300, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 500, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 700, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1200, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 1900, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2200, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2800, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 2900, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3100, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3300, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3500, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 3900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4000, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4200, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4300, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 4900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5000, Avg loss: 1.403
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5300, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5800, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 5900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 6000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 6100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 4, Training steps: 6200, Avg loss: 1.400
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
labelsname: label_Cardiomegaly, Label_value 0: 0.729, 0.729, 0.729
labelsname: label_Cardiomegaly, Label_value 1: 0.036, 0.036, 0.036
labelsname: label_Cardiomegaly, Label_value 2: 0.019, 0.019, 0.019
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0360 (1193/33124)
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 100, Avg loss: 1.555
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 200, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 300, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 400, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 500, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1000, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1200, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1300, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1500, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1800, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 1900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2000, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2200, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2300, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2400, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2600, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2700, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 2900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3000, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3100, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3200, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3300, Avg loss: 1.398
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3400, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3600, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3700, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 3900, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4200, Avg loss: 1.399
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4500, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 4900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5000, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5200, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5300, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5400, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5500, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5600, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5700, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5800, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 5900, Avg loss: 1.401
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 6000, Avg loss: 1.402
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 6100, Avg loss: 1.400
labelsname: label_Cardiomegaly, Epoch id: 5, Training steps: 6200, Avg loss: 1.400
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
labelsname: label_Cardiomegaly, Label_value 0: 0.729, 0.729, 0.729
labelsname: label_Cardiomegaly, Label_value 1: 0.036, 0.036, 0.036
labelsname: label_Cardiomegaly, Label_value 2: 0.019, 0.019, 0.019
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0360 (1193/33124)
Final evaluation on the evaluation dataset.
Loading sentences from ./datasets/CheXpert/impression/validation.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
The number of evaluation instances: 33124
Confusion matrix of {label_name}:
tensor([[ 151, 40, 9, 3],
[ 7935, 271, 62, 43],
[ 828, 114, 18, 28],
[15338, 5558, 1991, 735]])
Report precision, recall, and f1:
labelsname: label_Cardiomegaly, Label_value 0: 0.744, 0.744, 0.744
labelsname: label_Cardiomegaly, Label_value 1: 0.033, 0.033, 0.033
labelsname: label_Cardiomegaly, Label_value 2: 0.018, 0.018, 0.018
labelsname: label_Cardiomegaly, Label_value 3: 0.031, 0.031, 0.031
Acc. (Correct/Total): 0.0355 (1175/33124)
labelsname: label_Consolidation, Epoch id: 1, Training steps: 100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 200, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 300, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 1, Training steps: 400, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 500, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 600, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 700, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 900, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1000, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1200, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1300, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1400, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1500, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1600, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1700, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1800, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 1900, Avg loss: 1.423
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2000, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2200, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2300, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2400, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2500, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2600, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2700, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2800, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 2900, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3000, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3100, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3200, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3300, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3400, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3500, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3600, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3700, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3800, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 3900, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4000, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4200, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4300, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4400, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4500, Avg loss: 1.418
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4600, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4700, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 4900, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5000, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5100, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5200, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5300, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5400, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5500, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5600, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5700, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 1, Training steps: 5900, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 6000, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 1, Training steps: 6100, Avg loss: 1.418
labelsname: label_Consolidation, Epoch id: 1, Training steps: 6200, Avg loss: 1.421
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
labelsname: label_Consolidation, Label_value 0: 0.912, 0.912, 0.912
labelsname: label_Consolidation, Label_value 1: 0.006, 0.006, 0.006
labelsname: label_Consolidation, Label_value 2: 0.032, 0.032, 0.032
labelsname: label_Consolidation, Label_value 3: 0.023, 0.023, 0.023
Acc. (Correct/Total): 0.0226 (748/33124)
Start evaluation on evaluation dataset.
Loading sentences from ./datasets/CheXpert/impression/validation.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124
Progress of process 0: 30000/33124
The number of evaluation instances: 33124
Confusion matrix of {label_name}:
tensor([[ 81, 1, 0, 1],
[ 4698, 24, 99, 21],
[ 93, 13, 2, 2],
[24721, 1678, 1089, 601]])
Report precision, recall, and f1:
labelsname: label_Consolidation, Label_value 0: 0.976, 0.976, 0.976
labelsname: label_Consolidation, Label_value 1: 0.005, 0.005, 0.005
labelsname: label_Consolidation, Label_value 2: 0.018, 0.018, 0.018
labelsname: label_Consolidation, Label_value 3: 0.021, 0.021, 0.021
Acc. (Correct/Total): 0.0214 (708/33124)
labelsname: label_Consolidation, Epoch id: 2, Training steps: 100, Avg loss: 1.577
labelsname: label_Consolidation, Epoch id: 2, Training steps: 200, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 300, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 400, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 500, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 600, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 700, Avg loss: 1.417
labelsname: label_Consolidation, Epoch id: 2, Training steps: 800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 900, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1000, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1100, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1200, Avg loss: 1.418
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1300, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1400, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1500, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1600, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1700, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 1900, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2000, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2200, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2300, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2400, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2500, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2600, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2700, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 2900, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3000, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3200, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3300, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3400, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3500, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3600, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3700, Avg loss: 1.418
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 3900, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4000, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4100, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4200, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4300, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4400, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4500, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4600, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4700, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4800, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 4900, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5000, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5100, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5200, Avg loss: 1.422
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5300, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5400, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5500, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5600, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5700, Avg loss: 1.419
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5800, Avg loss: 1.420
labelsname: label_Consolidation, Epoch id: 2, Training steps: 5900, Avg loss: 1.421
labelsname: label_Consolidation, Epoch id: 2, Training steps: 6000, Avg loss: 1.423
labelsname: label_Consolidation, Epoch id: 2, Training steps: 6100, Avg loss: 1.417
labelsname: label_Consolidation, Epoch id: 2, Training steps: 6200, Avg loss: 1.419
Start evaluation on test dataset.
Loading sentences from ./datasets/CheXpert/impression/test.csv
There are 33124 sentence in total. We use 1 processes to inject knowledge into sentences.
Progress of process 0: 0/33124
Progress of process 0: 10000/33124
Progress of process 0: 20000/33124