pretrained model: tapas_masklm_id_3.0, accuracy: 42.629% on epoch 41

pretrained model: tapas_masklm_id_5.0, accuracy: 43.825% on epoch 60

pretrained model: tapas_masklm_id_5.0, accuracy: 43.227% on epoch 50

pretrained model: tapas_masklm_id_5.0, accuracy: 41.833% on epoch 44

pretrained model: tapas_masklm_id_5.0, accuracy: 41.235% on epoch 30

pretrained model: tapas_masklm_id_5.0, accuracy: 41.036% on epoch 28

pretrained model: tapas_masklm_id_5.0, accuracy: 44.422% on epoch 60

pretrained model: tapas_masklm_id_5.0, accuracy: 44.223% on epoch 53

pretrained model: tapas_masklm_id_5.0, accuracy: 44.024% on epoch 41

pretrained model: tapas_masklm_id_5.0, accuracy: 42.430% on epoch 37

pretrained model: tapas_masklm_id_5.0, accuracy: 42.032% on epoch 18

pretrained model: tapas_masklm_id_1.0, accuracy: 41.833% on epoch 70

pretrained model: tapas_masklm_id_1.0, accuracy: 40.837% on epoch 61

pretrained model: tapas_masklm_id_1.0, accuracy: 40.637% on epoch 59

pretrained model: tapas_masklm_id_1.0, accuracy: 39.641% on epoch 58

pretrained model: tapas_masklm_id_1.0, accuracy: 38.645% on epoch 38

pretrained model: tapas_masklm_id_1.0, accuracy: 38.048% on epoch 27

pretrained model: tapas_masklm_id_1.0, accuracy: 37.849% on epoch 14

pretrained model: tapas_masklm_id_1.0, accuracy: 35.657% on epoch 12

pretrained model: tapas_masklm_id_1.0, accuracy: 34.064% on epoch 11

pretrained model: tapas_masklm_id_1.0, accuracy: 33.466% on epoch 10

pretrained model: tapas_masklm_id_1.0, accuracy: 31.076% on epoch 9

pretrained model: tapas_masklm_id_1.0, accuracy: 28.685% on epoch 5

pretrained model: tapas_masklm_id_4.0, accuracy: 43.625% on epoch 67

pretrained model: tapas_masklm_id_4.0, accuracy: 43.028% on epoch 60

pretrained model: tapas_masklm_id_4.0, accuracy: 42.829% on epoch 38

pretrained model: tapas_masklm_id_4.0, accuracy: 40.438% on epoch 21

pretrained model: tapas_masklm_id_5.0, accuracy: 40.438% on epoch 74

pretrained model: tapas_masklm_id_5.0, accuracy: 39.841% on epoch 73

pretrained model: tapas_masklm_id_5.0, accuracy: 39.641% on epoch 72

pretrained model: tapas_masklm_id_5.0, accuracy: 39.243% on epoch 61

pretrained model: tapas_masklm_id_5.0, accuracy: 38.845% on epoch 37

pretrained model: tapas_masklm_id_5.0, accuracy: 38.446% on epoch 35

pretrained model: tapas_masklm_id_5.0, accuracy: 36.653% on epoch 31

pretrained model: tapas_masklm_id_4.0, accuracy: 36.853% on epoch 75

pretrained model: tapas_masklm_id_4.0, accuracy: 36.454% on epoch 61

pretrained model: tapas_masklm_id_4.0, accuracy: 35.259% on epoch 55

pretrained model: tapas_masklm_id_1.0, accuracy: 34.861% on epoch 29

pretrained model: tapas_masklm_id_1.0, accuracy: 34.064% on epoch 24

pretrained model: tapas_masklm_id_1.0, accuracy: 32.669% on epoch 22

pretrained model: tapas_masklm_id_1.0, accuracy: 32.072% on epoch 19

pretrained model: tapas_masklm_id_1.0, accuracy: 31.873% on epoch 15

pretrained model: tapas_masklm_id_1.0, accuracy: 29.681% on epoch 13

pretrained model: tapas_masklm_id_1.0, accuracy: 35.657% on epoch 69

pretrained model: tapas_masklm_id_1.0, accuracy: 34.861% on epoch 60

pretrained model: tapas_masklm_id_1.0, accuracy: 33.865% on epoch 56

pretrained model: tapas_masklm_id_2.0, accuracy: 34.064% on epoch 20

pretrained model: tapas_masklm_id_2.0, accuracy: 33.068% on epoch 19

pretrained model: tapas_masklm_id_1.0, accuracy: 33.068% on epoch 45

pretrained model: tapas_masklm_id_1.0, accuracy: 32.470% on epoch 30