gpt_MobileNetStudent_round1_iter2

training_summary_gpt_MobileNetStudent_round1_iter2.txt

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+Model: gpt_MobileNetStudent
+Optimizer: adamw, LR: 2e-05
+Best Val Loss: 4.9452, Test Loss: 4.9014
+Epoch 1: Train Loss: 210501.4962, Val Loss: 149248.5156
+Epoch 2: Train Loss: 162872.0089, Val Loss: 163539.2500
+Epoch 3: Train Loss: 124439.1923, Val Loss: 113058.2656
+Epoch 4: Train Loss: 93958.3112, Val Loss: 78506.5469
+Epoch 5: Train Loss: 68919.8631, Val Loss: 77744.8047
+Epoch 6: Train Loss: 49689.1461, Val Loss: 53015.8750
+Epoch 7: Train Loss: 34800.0657, Val Loss: 28809.5371
+Epoch 8: Train Loss: 23250.8367, Val Loss: 22192.1777
+Epoch 9: Train Loss: 14780.6426, Val Loss: 11380.9072
+Epoch 10: Train Loss: 8894.5777, Val Loss: 7664.6660
+Epoch 11: Train Loss: 4828.8164, Val Loss: 2515.9561
+Epoch 12: Train Loss: 2313.1198, Val Loss: 1591.9407
+Epoch 13: Train Loss: 884.0548, Val Loss: 470.4209
+Epoch 14: Train Loss: 233.9247, Val Loss: 105.7152
+Epoch 15: Train Loss: 33.9046, Val Loss: 11.0869
+Epoch 16: Train Loss: 7.6456, Val Loss: 7.1531
+Epoch 17: Train Loss: 6.7387, Val Loss: 6.3470
+Epoch 18: Train Loss: 6.4723, Val Loss: 6.4888
+Epoch 19: Train Loss: 6.2386, Val Loss: 6.0434
+Epoch 20: Train Loss: 6.1172, Val Loss: 6.6211
+Epoch 21: Train Loss: 5.9837, Val Loss: 5.7379
+Epoch 22: Train Loss: 6.0223, Val Loss: 5.8030
+Epoch 23: Train Loss: 5.9353, Val Loss: 5.7308
+Epoch 24: Train Loss: 5.8106, Val Loss: 5.7751
+Epoch 25: Train Loss: 5.7471, Val Loss: 5.9349
+Epoch 26: Train Loss: 5.7623, Val Loss: 5.5521
+Epoch 27: Train Loss: 5.6660, Val Loss: 5.6983
+Epoch 28: Train Loss: 5.6382, Val Loss: 5.7965
+Epoch 29: Train Loss: 5.6616, Val Loss: 5.4488
+Epoch 30: Train Loss: 5.7226, Val Loss: 5.6975
+Epoch 31: Train Loss: 5.6003, Val Loss: 5.7659
+Epoch 32: Train Loss: 5.5464, Val Loss: 5.5064
+Epoch 33: Train Loss: 5.4872, Val Loss: 5.4611
+Epoch 34: Train Loss: 5.6151, Val Loss: 5.4249
+Epoch 35: Train Loss: 5.5420, Val Loss: 5.4134
+Epoch 36: Train Loss: 5.5001, Val Loss: 5.3985
+Epoch 37: Train Loss: 5.7240, Val Loss: 5.2710
+Epoch 38: Train Loss: 5.4334, Val Loss: 5.3086
+Epoch 39: Train Loss: 5.4643, Val Loss: 5.4430
+Epoch 40: Train Loss: 5.5361, Val Loss: 5.3840
+Epoch 41: Train Loss: 5.3886, Val Loss: 5.4074
+Epoch 42: Train Loss: 5.4187, Val Loss: 5.2933
+Epoch 43: Train Loss: 5.4768, Val Loss: 5.4673
+Epoch 44: Train Loss: 5.3804, Val Loss: 5.3011
+Epoch 45: Train Loss: 5.3370, Val Loss: 5.3085
+Epoch 46: Train Loss: 5.3480, Val Loss: 5.2955
+Epoch 47: Train Loss: 5.3628, Val Loss: 5.2548
+Epoch 48: Train Loss: 5.4291, Val Loss: 5.6222
+Epoch 49: Train Loss: 5.3892, Val Loss: 5.4542
+Epoch 50: Train Loss: 5.3924, Val Loss: 5.2028
+Epoch 51: Train Loss: 5.3301, Val Loss: 5.2737
+Epoch 52: Train Loss: 5.3137, Val Loss: 5.1796
+Epoch 53: Train Loss: 5.2736, Val Loss: 5.1657
+Epoch 54: Train Loss: 5.2727, Val Loss: 5.2623
+Epoch 55: Train Loss: 5.2867, Val Loss: 5.4113
+Epoch 56: Train Loss: 5.2745, Val Loss: 5.0743
+Epoch 57: Train Loss: 5.2742, Val Loss: 5.2197
+Epoch 58: Train Loss: 5.3723, Val Loss: 5.3467
+Epoch 59: Train Loss: 5.2484, Val Loss: 5.2277
+Epoch 60: Train Loss: 5.2659, Val Loss: 5.3081
+Epoch 61: Train Loss: 5.2502, Val Loss: 5.4833
+Epoch 62: Train Loss: 5.2244, Val Loss: 5.2312
+Epoch 63: Train Loss: 5.2313, Val Loss: 5.0372
+Epoch 64: Train Loss: 5.2427, Val Loss: 5.1650
+Epoch 65: Train Loss: 5.2044, Val Loss: 5.2028
+Epoch 66: Train Loss: 5.1964, Val Loss: 5.2060
+Epoch 67: Train Loss: 5.2335, Val Loss: 4.9938
+Epoch 68: Train Loss: 5.2075, Val Loss: 5.1169
+Epoch 69: Train Loss: 5.2081, Val Loss: 5.1834
+Epoch 70: Train Loss: 5.1965, Val Loss: 5.2064
+Epoch 71: Train Loss: 5.2008, Val Loss: 5.0783
+Epoch 72: Train Loss: 5.1943, Val Loss: 5.1142
+Epoch 73: Train Loss: 5.1909, Val Loss: 5.0222
+Epoch 74: Train Loss: 5.1912, Val Loss: 5.5194
+Epoch 75: Train Loss: 5.1773, Val Loss: 5.0608
+Epoch 76: Train Loss: 5.1777, Val Loss: 5.4651
+Epoch 77: Train Loss: 5.1555, Val Loss: 5.5001
+Epoch 78: Train Loss: 5.1566, Val Loss: 5.3278
+Epoch 79: Train Loss: 5.1319, Val Loss: 5.1098
+Epoch 80: Train Loss: 5.1213, Val Loss: 5.0420
+Epoch 81: Train Loss: 5.1132, Val Loss: 5.5608
+Epoch 82: Train Loss: 5.1006, Val Loss: 5.1075
+Epoch 83: Train Loss: 5.1183, Val Loss: 5.0301
+Epoch 84: Train Loss: 5.1452, Val Loss: 5.0921
+Epoch 85: Train Loss: 5.1315, Val Loss: 5.0992
+Epoch 86: Train Loss: 5.1209, Val Loss: 5.2696
+Epoch 87: Train Loss: 5.1133, Val Loss: 5.6271
+Epoch 88: Train Loss: 5.0692, Val Loss: 5.1565
+Epoch 89: Train Loss: 5.1062, Val Loss: 5.2034
+Epoch 90: Train Loss: 5.1166, Val Loss: 5.2192
+Epoch 91: Train Loss: 5.0690, Val Loss: 5.0942
+Epoch 92: Train Loss: 5.1044, Val Loss: 5.1334
+Epoch 93: Train Loss: 5.0725, Val Loss: 5.0627
+Epoch 94: Train Loss: 5.1045, Val Loss: 5.2047
+Epoch 95: Train Loss: 5.0903, Val Loss: 5.1458
+Epoch 96: Train Loss: 5.0835, Val Loss: 4.9828
+Epoch 97: Train Loss: 5.0953, Val Loss: 4.9507
+Epoch 98: Train Loss: 5.0126, Val Loss: 4.9975
+Epoch 99: Train Loss: 5.0530, Val Loss: 4.9452
+Epoch 100: Train Loss: 5.0933, Val Loss: 5.2219
+Final Test Loss: 4.9014