pretrained model: tapas_masklm_id_3.0, accuracy: 35.857% on epoch 37

pretrained model: tapas_masklm_id_3.0, accuracy: 35.458% on epoch 36

pretrained model: tapas_masklm_id_3.0, accuracy: 38.247% on epoch 62

pretrained model: tapas_masklm_id_3.0, accuracy: 37.849% on epoch 23

pretrained model: tapas_masklm_id_3.0, accuracy: 37.251% on epoch 22

pretrained model: tapas_masklm_id_3.0, accuracy: 36.056% on epoch 16

pretrained model: tapas_masklm_id_2.0, accuracy: 35.259% on epoch 65

pretrained model: tapas_masklm_id_2.0, accuracy: 34.661% on epoch 45

pretrained model: tapas_masklm_id_2.0, accuracy: 32.869% on epoch 23

pretrained model: tapas_masklm_id_2.0, accuracy: 35.857% on epoch 53

pretrained model: tapas_masklm_id_2.0, accuracy: 35.060% on epoch 51

pretrained model: tapas_masklm_id_2.0, accuracy: 34.861% on epoch 49

pretrained model: tapas_masklm_id_2.0, accuracy: 34.462% on epoch 48

pretrained model: rizki-syazali/tapas_masklm_id_1.0, accuracy: 33.665% on epoch 43

pretrained model: rizki-syazali/tapas_masklm_id_1.0, accuracy: 31.474% on epoch 39

pretrained model: rizki-syazali/tapas_masklm_id_1.0, accuracy: 30.677% on epoch 36

pretrained model: rizki-syazali/tapas_masklm_id_1.0, accuracy: 30.080% on epoch 27

masklm 3.1, accuracy 37.450% on epoch 78

masklm 3.1, accuracy 37.251% on epoch 72

masklm 3.1, accuracy 36.853% on epoch 47

masklm 3.1, accuracy 36.454% on epoch 38

masklm 2.1, accuracy 35.259% on epoch 51

masklm 2.1, accuracy 33.466% on epoch 50

masklm 2.1, accuracy 32.869% on epoch 43

masklm 2.1, accuracy 32.271% on epoch 29

masklm 2.1, accuracy 29.681% on epoch 27

masklm 1.0, accuracy 29.283% on epoch 69

masklm 1.0, accuracy 28.884% on epoch 57

masklm 1.0, accuracy 28.486% on epoch 52

masklm 1.0, accuracy 28.287% on epoch 48

masklm 1.0, accuracy 27.490% on epoch 39

masklm 1.0, accuracy 27.092% on epoch 37

masklm 1.0, accuracy 26.693% on epoch 32

masklm 1.0, accuracy 24.303% on epoch 25

masklm 2.1, accuracy 36.056% on epoch 58

masklm 2.1, accuracy 35.259% on epoch 37

masklm 2.1, accuracy 34.861% on epoch 29

masklm 2.1, accuracy 34.263% on epoch 27

masklm 2.1, accuracy 34.064% on epoch 20

masklm 2.1, accuracy 32.470% on epoch 17

masklm 1.0, accuracy 31.873% on epoch 77

masklm 1.0, accuracy 31.673% on epoch 38

masklm 1.0, accuracy 30.677% on epoch 47

masklm 1.0, accuracy 30.080% on epoch 44

masklm 1.0, accuracy 29.880% on epoch 43

masklm 1.0, accuracy 29.283% on epoch 30

masklm 1.0, accuracy 28.486% on epoch 29

masklm 1.0, accuracy 27.689% on epoch 28

masklm 1.0, accuracy 27.490% on epoch 25

masklm 1.0, accuracy 27.092% on epoch 24