Thanks for the author's impressive work! And I have a few questions.
Total num of params: 1777664
shuffle DB: train, b:10000, 2-way, 1-shot, 5-query, 0-repeats, resize:224
shuffle DB: val, b:100, 2-way, 1-shot, 1-query, 0-repeats, resize:224
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 0 Losses: [27.3474, 26.4712, 25.9338, 25.349, 25.0009, 24.364]
Step: 0 Training acc: [0.005 0.0025 0.0025 0.005 0.01 0.015 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 100 Losses: [16.2629, 16.4309, 16.4842, 16.2964, 16.4591, 16.5697]
Step: 100 Training acc: [0.1175 0.12 0.1075 0.13 0.1325 0.115 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 200 Losses: [14.6574, 14.5848, 14.5446, 14.5029, 14.5325, 14.4986]
Step: 200 Training acc: [0.11 0.11 0.1075 0.115 0.1125 0.1 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 300 Losses: [13.8562, 13.9223, 13.823, 13.672, 13.8453, 13.8192]
Step: 300 Training acc: [0.1 0.09 0.105 0.105 0.0925 0.095 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 400 Losses: [13.3061, 13.2029, 13.3253, 13.2227, 13.2487, 13.1655]
Step: 400 Training acc: [0.1125 0.1075 0.1 0.09 0.11 0.1175]
Model saved on path /multimodal-few-shot/models/
------ Meta-test 2-way, 1-shot (5-query) ------
Step: 400 Test acc: [0.118 0.122 0.1195 0.121 0.116 0.1135]
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 500 Losses: [13.6204, 13.3988, 13.5718, 13.4468, 13.5434, 13.55]
Step: 500 Training acc: [0.12 0.1125 0.1325 0.11 0.115 0.135 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 600 Losses: [13.0284, 13.0951, 13.1156, 13.1911, 13.0417, 13.1139]
Step: 600 Training acc: [0.1425 0.14 0.125 0.1375 0.1275 0.135 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 700 Losses: [13.0562, 13.078, 13.227, 13.125, 12.9114, 13.0547]
Step: 700 Training acc: [0.16 0.1625 0.1625 0.145 0.1875 0.155 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 800 Losses: [13.4406, 13.5702, 13.4736, 13.4705, 13.4559, 13.3458]
Step: 800 Training acc: [0.1325 0.135 0.135 0.13 0.13 0.13 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-test 2-way, 1-shot (5-query) ------
Step: 800 Test acc: [0.1495 0.141 0.1445 0.143 0.1475 0.14 ]
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 900 Losses: [12.3796, 12.4293, 12.3599, 12.3973, 12.3356, 12.4367]
Step: 900 Training acc: [0.125 0.155 0.1275 0.14 0.1525 0.14 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1000 Losses: [11.1597, 11.1914, 11.4077, 11.0616, 11.1694, 11.2945]
Step: 1000 Training acc: [0.1675 0.155 0.1475 0.17 0.16 0.1575]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1100 Losses: [12.062, 12.0198, 12.0565, 12.0145, 12.168, 12.0419]
Step: 1100 Training acc: [0.1575 0.1725 0.155 0.1325 0.1675 0.1375]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1200 Losses: [12.0617, 11.8894, 12.03, 12.0184, 12.064, 12.1158]
Step: 1200 Training acc: [0.1225 0.125 0.1325 0.13 0.1375 0.13 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-test 2-way, 1-shot (5-query) ------
Step: 1200 Test acc: [0.1395 0.1505 0.154 0.134 0.1545 0.1575]
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1300 Losses: [12.2494, 12.2317, 12.2031, 12.0318, 12.146, 12.1562]
Step: 1300 Training acc: [0.115 0.115 0.1375 0.1375 0.14 0.135 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1400 Losses: [11.9626, 11.9661, 11.8697, 11.9094, 11.8787, 11.8339]
Step: 1400 Training acc: [0.115 0.13 0.12 0.1225 0.135 0.13 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1500 Losses: [13.2522, 12.9408, 12.9902, 12.9345, 12.8652, 12.9913]
Step: 1500 Training acc: [0.13 0.1525 0.125 0.1375 0.1275 0.1225]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1600 Losses: [12.1111, 12.2421, 12.2779, 12.2388, 12.1456, 12.2824]
Step: 1600 Training acc: [0.1325 0.14 0.16 0.1375 0.15 0.1425]
Model saved on path /multimodal-few-shot/models/
------ Meta-test 2-way, 1-shot (5-query) ------
Step: 1600 Test acc: [0.148 0.1615 0.1495 0.1495 0.141 0.1436]
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1700 Losses: [11.8007, 11.9436, 11.9044, 11.8383, 11.9157, 11.9359]
Step: 1700 Training acc: [0.155 0.1625 0.17 0.165 0.1525 0.1525]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1800 Losses: [11.7353, 11.7092, 11.663, 11.8356, 11.6716, 11.6708]
Step: 1800 Training acc: [0.125 0.12 0.1275 0.12 0.115 0.1075]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 1900 Losses: [12.8347, 12.818, 12.811, 12.9872, 12.7438, 12.7335]
Step: 1900 Training acc: [0.1525 0.145 0.1725 0.1525 0.15 0.1525]
Model saved on path /multimodal-few-shot/models/
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 2000 Losses: [11.3431, 11.4844, 11.6313, 11.4486, 11.308, 11.3376]
Step: 2000 Training acc: [0.1925 0.1525 0.1725 0.155 0.1725 0.165 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-test 2-way, 1-shot (5-query) ------
Step: 2000 Test acc: [0.156 0.143 0.1455 0.153 0.1515 0.1436]
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 2100 Losses: [12.6283, 12.5109, 12.5109, 12.4421, 12.537, 12.7002]
Step: 2100 Training acc: [0.1475 0.13 0.1425 0.16 0.1225 0.125 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 2200 Losses: [11.5735, 11.8118, 11.6213, 11.793, 11.7382, 11.7658]
Step: 2200 Training acc: [0.1525 0.16 0.16 0.135 0.1175 0.1375]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 2300 Losses: [12.602, 12.7457, 12.5895, 12.7572, 12.605, 12.6782]
Step: 2300 Training acc: [0.16 0.155 0.16 0.1575 0.165 0.15 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-training 2-way, 1-shot (5-query) ATT-mapper 4-prefix tokens------
Step: 2400 Losses: [11.4712, 11.6158, 11.4204, 11.4886, 11.5966, 11.5541]
Step: 2400 Training acc: [0.1525 0.14 0.1475 0.1575 0.1525 0.13 ]
Model saved on path /multimodal-few-shot/models/
------ Meta-test 2-way, 1-shot (5-query) ------
Step: 2400 Test acc: [0.163 0.1555 0.1545 0.155 0.168 0.1495]