pretrained model: tapas_masklm_id_2.0, accuracy: 38.247% on epoch 74

pretrained model: tapas_masklm_id_2.0, accuracy: 38.048% on epoch 73

pretrained model: tapas_masklm_id_2.0, accuracy: 37.649% on epoch 53

pretrained model: tapas_masklm_id_4.0, accuracy: 38.247% on epoch 40

pretrained model: tapas_masklm_id_4.0, accuracy: 37.450% on epoch 31

pretrained model: tapas_masklm_id_4.0, accuracy: 37.052% on epoch 26

pretrained model: tapas_masklm_id_2.0, accuracy: 37.649% on epoch 49

pretrained model: tapas_masklm_id_2.0, accuracy: 36.853% on epoch 46

pretrained model: tapas_masklm_id_2.0, accuracy: 36.653% on epoch 43

pretrained model: tapas_masklm_id_3.0, accuracy: 36.454% on epoch 76

pretrained model: tapas_masklm_id_3.0, accuracy: 35.657% on epoch 71

pretrained model: tapas_masklm_id_3.0, accuracy: 35.458% on epoch 70

pretrained model: tapas_masklm_id_3.0, accuracy: 35.259% on epoch 54

pretrained model: tapas_masklm_id_3.0, accuracy: 35.060% on epoch 40

pretrained model: tapas_masklm_id_3.0, accuracy: 38.645% on epoch 69

pretrained model: tapas_masklm_id_3.0, accuracy: 37.849% on epoch 55

pretrained model: tapas_masklm_id_3.0, accuracy: 36.255% on epoch 53

pretrained model: tapas_masklm_id_3.0, accuracy: 36.056% on epoch 47

pretrained model: tapas_masklm_id_3.0, accuracy: 35.857% on epoch 46

pretrained model: tapas_masklm_id_3.0, accuracy: 35.259% on epoch 31

pretrained model: tapas_masklm_id_4.0, accuracy: 37.251% on epoch 52

pretrained model: tapas_masklm_id_4.0, accuracy: 36.255% on epoch 36

pretrained model: tapas_masklm_id_4.0, accuracy: 35.857% on epoch 22

pretrained model: tapas_masklm_id_4.0, accuracy: 35.060% on epoch 21

pretrained model: tapas_masklm_id_5.0, accuracy: 39.243% on epoch 63

pretrained model: tapas_masklm_id_5.0, accuracy: 38.247% on epoch 58

pretrained model: tapas_masklm_id_5.0, accuracy: 37.649% on epoch 48

pretrained model: tapas_masklm_id_5.0, accuracy: 37.251% on epoch 31

pretrained model: tapas_masklm_id_1.0, accuracy: 36.653% on epoch 70

pretrained model: tapas_masklm_id_1.0, accuracy: 36.255% on epoch 63

pretrained model: tapas_masklm_id_1.0, accuracy: 35.857% on epoch 62

pretrained model: tapas_masklm_id_1.0, accuracy: 35.458% on epoch 65

pretrained model: tapas_masklm_id_1.0, accuracy: 35.259% on epoch 55

pretrained model: tapas_masklm_id_1.0, accuracy: 34.462% on epoch 32

pretrained model: tapas_masklm_id_1.0, accuracy: 33.665% on epoch 29

pretrained model: tapas_masklm_id_1.0, accuracy: 33.665% on epoch 46

pretrained model: tapas_masklm_id_1.0, accuracy: 32.470% on epoch 41

pretrained model: tapas_masklm_id_1.0, accuracy: 31.873% on epoch 40

pretrained model: tapas_masklm_id_1.0, accuracy: 31.673% on epoch 37

pretrained model: tapas_masklm_id_1.0, accuracy: 30.080% on epoch 30

pretrained model: tapas_masklm_id_1.0, accuracy: 29.482% on epoch 29

pretrained model: tapas_masklm_id_1.0, accuracy: 29.283% on epoch 28

pretrained model: tapas_masklm_id_1.0, accuracy: 28.088% on epoch 27

pretrained model: tapas_masklm_id_2.0, accuracy: 34.462% on epoch 36

pretrained model: tapas_masklm_id_1.0, accuracy: 34.462% on epoch 63

pretrained model: tapas_masklm_id_1.0, accuracy: 33.068% on epoch 61

pretrained model: tapas_masklm_id_1.0, accuracy: 30.677% on epoch 31

pretrained model: tapas_masklm_id_1.0, accuracy: 29.283% on epoch 25

pretrained model: tapas_masklm_id_1.0, accuracy: 28.088% on epoch 23

pretrained model: tapas_masklm_id_3.0, accuracy: 37.251% on epoch 38