Hugging Face's logo

shredder-31
/
GAR

TensorBoard
Model card Files Metrics Community
shredder-31 commited on
Commit
3bae8a1
·
verified ·
1 Parent(s): 5ea1469

Upload baseline 4 model files and outputs

Browse files
Files changed (1) hide show
  1. baseline4/outputs/Baseline_B4_V1_20241203_001146/logs/training_20241203_001146.log +285 -0
baseline4/outputs/Baseline_B4_V1_20241203_001146/logs/training_20241203_001146.log ADDED
@@ -0,0 +1,285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2024-12-03 00:11:46,683 [INFO] Starting experiment: Baseline_B4_V1
2
+ 2024-12-03 00:11:46,710 [INFO] Using device: cuda
3
+ 2024-12-03 00:11:46,712 [INFO] Set random seed: 31
4
+ 2024-12-03 00:11:53,609 [INFO] Training dataset size: 2152
5
+ 2024-12-03 00:11:53,609 [INFO] Validation dataset size: 1341
6
+ 2024-12-03 00:11:54,307 [INFO] Configuration saved to: /kaggle/working/Group-Activity-Recognition/modeling/baseline 4/outputs/Baseline_B4_V1_20241203_001146/config.yml
7
+ 2024-12-03 00:11:54,308 [INFO] Starting training...
8
+ 2024-12-03 00:11:54,308 [INFO]
9
+ Epoch 1/25
10
+ 2024-12-03 00:12:31,272 [INFO] Epoch: 0 | Batch: 0/68 | Loss: 2.0929 | Acc: 12.50%
11
+ 2024-12-03 00:12:46,009 [INFO] Epoch: 0 | Batch: 10/68 | Loss: 2.0673 | Acc: 10.51%
12
+ 2024-12-03 00:13:01,013 [INFO] Epoch: 0 | Batch: 20/68 | Loss: 2.0841 | Acc: 11.61%
13
+ 2024-12-03 00:13:15,316 [INFO] Epoch: 0 | Batch: 30/68 | Loss: 2.0603 | Acc: 12.00%
14
+ 2024-12-03 00:13:30,419 [INFO] Epoch: 0 | Batch: 40/68 | Loss: 2.0804 | Acc: 13.49%
15
+ 2024-12-03 00:13:45,173 [INFO] Epoch: 0 | Batch: 50/68 | Loss: 2.0369 | Acc: 13.91%
16
+ 2024-12-03 00:14:00,495 [INFO] Epoch: 0 | Batch: 60/68 | Loss: 2.0821 | Acc: 14.70%
17
+ 2024-12-03 00:14:11,552 [INFO] Epoch 0 - Train Loss: 2.0621 - Accuracy: 15.24%
18
+ 2024-12-03 00:15:33,986 [INFO] Epoch 0 | Valid Loss: 2.0335 | Accuracy: 16.55% | F1 Score: 0.0472
19
+ 2024-12-03 00:15:34,009 [INFO] Current learning rate: 0.0002
20
+ 2024-12-03 00:15:34,849 [INFO]
21
+ Epoch 2/25
22
+ 2024-12-03 00:16:11,052 [INFO] Epoch: 1 | Batch: 0/68 | Loss: 1.9564 | Acc: 31.25%
23
+ 2024-12-03 00:16:25,470 [INFO] Epoch: 1 | Batch: 10/68 | Loss: 2.0520 | Acc: 17.33%
24
+ 2024-12-03 00:16:39,772 [INFO] Epoch: 1 | Batch: 20/68 | Loss: 1.9795 | Acc: 16.52%
25
+ 2024-12-03 00:16:54,436 [INFO] Epoch: 1 | Batch: 30/68 | Loss: 1.9577 | Acc: 17.34%
26
+ 2024-12-03 00:17:09,380 [INFO] Epoch: 1 | Batch: 40/68 | Loss: 1.9644 | Acc: 18.60%
27
+ 2024-12-03 00:17:23,971 [INFO] Epoch: 1 | Batch: 50/68 | Loss: 1.9254 | Acc: 19.30%
28
+ 2024-12-03 00:17:38,732 [INFO] Epoch: 1 | Batch: 60/68 | Loss: 1.9026 | Acc: 20.34%
29
+ 2024-12-03 00:17:49,876 [INFO] Epoch 1 - Train Loss: 1.9662 - Accuracy: 20.49%
30
+ 2024-12-03 00:19:09,612 [INFO] Epoch 1 | Valid Loss: 1.9235 | Accuracy: 29.60% | F1 Score: 0.2171
31
+ 2024-12-03 00:19:09,622 [INFO] Current learning rate: 0.0002
32
+ 2024-12-03 00:19:10,302 [INFO]
33
+ Epoch 3/25
34
+ 2024-12-03 00:19:45,918 [INFO] Epoch: 2 | Batch: 0/68 | Loss: 1.9382 | Acc: 18.75%
35
+ 2024-12-03 00:20:01,503 [INFO] Epoch: 2 | Batch: 10/68 | Loss: 1.8708 | Acc: 29.26%
36
+ 2024-12-03 00:20:15,903 [INFO] Epoch: 2 | Batch: 20/68 | Loss: 1.7785 | Acc: 28.42%
37
+ 2024-12-03 00:20:30,360 [INFO] Epoch: 2 | Batch: 30/68 | Loss: 1.7384 | Acc: 26.61%
38
+ 2024-12-03 00:20:44,701 [INFO] Epoch: 2 | Batch: 40/68 | Loss: 1.7537 | Acc: 27.82%
39
+ 2024-12-03 00:20:59,761 [INFO] Epoch: 2 | Batch: 50/68 | Loss: 1.6652 | Acc: 29.17%
40
+ 2024-12-03 00:21:14,535 [INFO] Epoch: 2 | Batch: 60/68 | Loss: 1.7427 | Acc: 29.41%
41
+ 2024-12-03 00:21:25,549 [INFO] Epoch 2 - Train Loss: 1.8007 - Accuracy: 29.69%
42
+ 2024-12-03 00:22:45,561 [INFO] Epoch 2 | Valid Loss: 1.7243 | Accuracy: 35.05% | F1 Score: 0.2793
43
+ 2024-12-03 00:22:45,598 [INFO] Current learning rate: 0.0002
44
+ 2024-12-03 00:22:46,476 [INFO]
45
+ Epoch 4/25
46
+ 2024-12-03 00:23:21,848 [INFO] Epoch: 3 | Batch: 0/68 | Loss: 1.5390 | Acc: 56.25%
47
+ 2024-12-03 00:23:37,416 [INFO] Epoch: 3 | Batch: 10/68 | Loss: 1.7417 | Acc: 35.23%
48
+ 2024-12-03 00:23:52,677 [INFO] Epoch: 3 | Batch: 20/68 | Loss: 1.7735 | Acc: 36.90%
49
+ 2024-12-03 00:24:07,034 [INFO] Epoch: 3 | Batch: 30/68 | Loss: 1.6085 | Acc: 38.51%
50
+ 2024-12-03 00:24:21,858 [INFO] Epoch: 3 | Batch: 40/68 | Loss: 1.3730 | Acc: 37.73%
51
+ 2024-12-03 00:24:36,488 [INFO] Epoch: 3 | Batch: 50/68 | Loss: 1.5164 | Acc: 37.81%
52
+ 2024-12-03 00:24:52,006 [INFO] Epoch: 3 | Batch: 60/68 | Loss: 1.6502 | Acc: 38.68%
53
+ 2024-12-03 00:25:02,990 [INFO] Epoch 3 - Train Loss: 1.5687 - Accuracy: 38.57%
54
+ 2024-12-03 00:26:23,223 [INFO] Epoch 3 | Valid Loss: 1.5499 | Accuracy: 47.80% | F1 Score: 0.4159
55
+ 2024-12-03 00:26:23,233 [INFO] Current learning rate: 0.0002
56
+ 2024-12-03 00:26:23,919 [INFO]
57
+ Epoch 5/25
58
+ 2024-12-03 00:27:00,101 [INFO] Epoch: 4 | Batch: 0/68 | Loss: 1.4886 | Acc: 37.50%
59
+ 2024-12-03 00:27:15,143 [INFO] Epoch: 4 | Batch: 10/68 | Loss: 1.3860 | Acc: 42.90%
60
+ 2024-12-03 00:27:30,466 [INFO] Epoch: 4 | Batch: 20/68 | Loss: 1.5101 | Acc: 43.90%
61
+ 2024-12-03 00:27:44,784 [INFO] Epoch: 4 | Batch: 30/68 | Loss: 1.1686 | Acc: 44.96%
62
+ 2024-12-03 00:27:59,875 [INFO] Epoch: 4 | Batch: 40/68 | Loss: 1.4482 | Acc: 44.89%
63
+ 2024-12-03 00:28:15,170 [INFO] Epoch: 4 | Batch: 50/68 | Loss: 1.4296 | Acc: 45.89%
64
+ 2024-12-03 00:28:30,511 [INFO] Epoch: 4 | Batch: 60/68 | Loss: 1.4385 | Acc: 45.59%
65
+ 2024-12-03 00:28:41,743 [INFO] Epoch 4 - Train Loss: 1.3484 - Accuracy: 46.05%
66
+ 2024-12-03 00:30:04,819 [INFO] Epoch 4 | Valid Loss: 1.5294 | Accuracy: 48.17% | F1 Score: 0.4175
67
+ 2024-12-03 00:30:04,829 [INFO] Current learning rate: 0.0002
68
+ 2024-12-03 00:30:05,535 [INFO]
69
+ Epoch 6/25
70
+ 2024-12-03 00:30:40,966 [INFO] Epoch: 5 | Batch: 0/68 | Loss: 1.4363 | Acc: 40.62%
71
+ 2024-12-03 00:30:55,816 [INFO] Epoch: 5 | Batch: 10/68 | Loss: 1.1796 | Acc: 50.28%
72
+ 2024-12-03 00:31:10,694 [INFO] Epoch: 5 | Batch: 20/68 | Loss: 1.1836 | Acc: 51.79%
73
+ 2024-12-03 00:31:24,992 [INFO] Epoch: 5 | Batch: 30/68 | Loss: 1.1124 | Acc: 53.43%
74
+ 2024-12-03 00:31:39,701 [INFO] Epoch: 5 | Batch: 40/68 | Loss: 1.0155 | Acc: 53.81%
75
+ 2024-12-03 00:31:55,177 [INFO] Epoch: 5 | Batch: 50/68 | Loss: 1.2350 | Acc: 53.12%
76
+ 2024-12-03 00:32:09,994 [INFO] Epoch: 5 | Batch: 60/68 | Loss: 1.0575 | Acc: 54.35%
77
+ 2024-12-03 00:32:21,730 [INFO] Epoch 5 - Train Loss: 1.1671 - Accuracy: 54.37%
78
+ 2024-12-03 00:33:42,451 [INFO] Epoch 5 | Valid Loss: 1.2190 | Accuracy: 54.81% | F1 Score: 0.4952
79
+ 2024-12-03 00:33:42,460 [INFO] Current learning rate: 0.0002
80
+ 2024-12-03 00:33:43,163 [INFO]
81
+ Epoch 7/25
82
+ 2024-12-03 00:34:20,587 [INFO] Epoch: 6 | Batch: 0/68 | Loss: 0.9199 | Acc: 68.75%
83
+ 2024-12-03 00:34:36,098 [INFO] Epoch: 6 | Batch: 10/68 | Loss: 1.0701 | Acc: 56.82%
84
+ 2024-12-03 00:34:50,928 [INFO] Epoch: 6 | Batch: 20/68 | Loss: 1.0784 | Acc: 57.59%
85
+ 2024-12-03 00:35:05,737 [INFO] Epoch: 6 | Batch: 30/68 | Loss: 1.1344 | Acc: 58.47%
86
+ 2024-12-03 00:35:20,684 [INFO] Epoch: 6 | Batch: 40/68 | Loss: 0.9060 | Acc: 59.07%
87
+ 2024-12-03 00:35:35,863 [INFO] Epoch: 6 | Batch: 50/68 | Loss: 1.2161 | Acc: 58.15%
88
+ 2024-12-03 00:35:50,183 [INFO] Epoch: 6 | Batch: 60/68 | Loss: 1.1672 | Acc: 58.86%
89
+ 2024-12-03 00:36:01,150 [INFO] Epoch 6 - Train Loss: 1.0320 - Accuracy: 59.01%
90
+ 2024-12-03 00:37:21,147 [INFO] Epoch 6 | Valid Loss: 1.0058 | Accuracy: 62.04% | F1 Score: 0.5595
91
+ 2024-12-03 00:37:21,157 [INFO] Current learning rate: 0.0002
92
+ 2024-12-03 00:37:21,847 [INFO]
93
+ Epoch 8/25
94
+ 2024-12-03 00:37:58,117 [INFO] Epoch: 7 | Batch: 0/68 | Loss: 0.9785 | Acc: 59.38%
95
+ 2024-12-03 00:38:13,015 [INFO] Epoch: 7 | Batch: 10/68 | Loss: 0.9870 | Acc: 63.35%
96
+ 2024-12-03 00:38:27,364 [INFO] Epoch: 7 | Batch: 20/68 | Loss: 1.1030 | Acc: 63.10%
97
+ 2024-12-03 00:38:41,665 [INFO] Epoch: 7 | Batch: 30/68 | Loss: 0.9920 | Acc: 62.70%
98
+ 2024-12-03 00:38:56,827 [INFO] Epoch: 7 | Batch: 40/68 | Loss: 0.7430 | Acc: 63.03%
99
+ 2024-12-03 00:39:11,487 [INFO] Epoch: 7 | Batch: 50/68 | Loss: 0.8337 | Acc: 62.99%
100
+ 2024-12-03 00:39:26,016 [INFO] Epoch: 7 | Batch: 60/68 | Loss: 0.7972 | Acc: 63.06%
101
+ 2024-12-03 00:39:36,966 [INFO] Epoch 7 - Train Loss: 0.9245 - Accuracy: 62.73%
102
+ 2024-12-03 00:40:59,650 [INFO] Epoch 7 | Valid Loss: 1.0802 | Accuracy: 59.88% | F1 Score: 0.5449
103
+ 2024-12-03 00:40:59,659 [INFO] Current learning rate: 0.0002
104
+ 2024-12-03 00:41:00,371 [INFO]
105
+ Epoch 9/25
106
+ 2024-12-03 00:41:36,213 [INFO] Epoch: 8 | Batch: 0/68 | Loss: 0.7106 | Acc: 65.62%
107
+ 2024-12-03 00:41:51,606 [INFO] Epoch: 8 | Batch: 10/68 | Loss: 1.0109 | Acc: 62.50%
108
+ 2024-12-03 00:42:06,809 [INFO] Epoch: 8 | Batch: 20/68 | Loss: 0.9193 | Acc: 64.43%
109
+ 2024-12-03 00:42:21,181 [INFO] Epoch: 8 | Batch: 30/68 | Loss: 0.8035 | Acc: 64.92%
110
+ 2024-12-03 00:42:36,477 [INFO] Epoch: 8 | Batch: 40/68 | Loss: 0.7891 | Acc: 63.87%
111
+ 2024-12-03 00:42:50,789 [INFO] Epoch: 8 | Batch: 50/68 | Loss: 0.6881 | Acc: 64.22%
112
+ 2024-12-03 00:43:05,609 [INFO] Epoch: 8 | Batch: 60/68 | Loss: 1.1349 | Acc: 64.75%
113
+ 2024-12-03 00:43:16,546 [INFO] Epoch 8 - Train Loss: 0.8556 - Accuracy: 64.73%
114
+ 2024-12-03 00:44:37,384 [INFO] Epoch 8 | Valid Loss: 1.0871 | Accuracy: 59.28% | F1 Score: 0.5349
115
+ 2024-12-03 00:44:37,415 [INFO] Current learning rate: 0.0002
116
+ 2024-12-03 00:44:38,321 [INFO]
117
+ Epoch 10/25
118
+ 2024-12-03 00:45:14,100 [INFO] Epoch: 9 | Batch: 0/68 | Loss: 0.7511 | Acc: 65.62%
119
+ 2024-12-03 00:45:28,573 [INFO] Epoch: 9 | Batch: 10/68 | Loss: 0.9514 | Acc: 64.20%
120
+ 2024-12-03 00:45:43,754 [INFO] Epoch: 9 | Batch: 20/68 | Loss: 0.6605 | Acc: 65.77%
121
+ 2024-12-03 00:45:58,048 [INFO] Epoch: 9 | Batch: 30/68 | Loss: 0.9930 | Acc: 67.74%
122
+ 2024-12-03 00:46:13,133 [INFO] Epoch: 9 | Batch: 40/68 | Loss: 0.7769 | Acc: 67.53%
123
+ 2024-12-03 00:46:27,625 [INFO] Epoch: 9 | Batch: 50/68 | Loss: 0.7054 | Acc: 67.28%
124
+ 2024-12-03 00:46:42,288 [INFO] Epoch: 9 | Batch: 60/68 | Loss: 0.6358 | Acc: 67.42%
125
+ 2024-12-03 00:46:53,211 [INFO] Epoch 9 - Train Loss: 0.7629 - Accuracy: 66.96%
126
+ 2024-12-03 00:48:12,692 [INFO] Epoch 9 | Valid Loss: 1.0849 | Accuracy: 58.31% | F1 Score: 0.5231
127
+ 2024-12-03 00:48:12,703 [INFO] Current learning rate: 0.0002
128
+ 2024-12-03 00:48:13,410 [INFO]
129
+ Epoch 11/25
130
+ 2024-12-03 00:48:49,428 [INFO] Epoch: 10 | Batch: 0/68 | Loss: 0.6595 | Acc: 71.88%
131
+ 2024-12-03 00:49:03,737 [INFO] Epoch: 10 | Batch: 10/68 | Loss: 0.6178 | Acc: 67.33%
132
+ 2024-12-03 00:49:18,105 [INFO] Epoch: 10 | Batch: 20/68 | Loss: 0.6673 | Acc: 66.52%
133
+ 2024-12-03 00:49:32,901 [INFO] Epoch: 10 | Batch: 30/68 | Loss: 0.6613 | Acc: 67.04%
134
+ 2024-12-03 00:49:48,211 [INFO] Epoch: 10 | Batch: 40/68 | Loss: 0.6960 | Acc: 67.07%
135
+ 2024-12-03 00:50:04,524 [INFO] Epoch: 10 | Batch: 50/68 | Loss: 0.6217 | Acc: 67.40%
136
+ 2024-12-03 00:50:19,751 [INFO] Epoch: 10 | Batch: 60/68 | Loss: 1.2366 | Acc: 67.16%
137
+ 2024-12-03 00:50:31,030 [INFO] Epoch 10 - Train Loss: 0.7511 - Accuracy: 67.15%
138
+ 2024-12-03 00:51:50,251 [INFO] Epoch 10 | Valid Loss: 1.3573 | Accuracy: 56.52% | F1 Score: 0.5236
139
+ 2024-12-03 00:51:50,266 [INFO] Current learning rate: 0.0002
140
+ 2024-12-03 00:51:51,096 [INFO]
141
+ Epoch 12/25
142
+ 2024-12-03 00:52:28,097 [INFO] Epoch: 11 | Batch: 0/68 | Loss: 0.9389 | Acc: 75.00%
143
+ 2024-12-03 00:52:43,287 [INFO] Epoch: 11 | Batch: 10/68 | Loss: 0.6245 | Acc: 69.60%
144
+ 2024-12-03 00:52:58,433 [INFO] Epoch: 11 | Batch: 20/68 | Loss: 0.6986 | Acc: 71.28%
145
+ 2024-12-03 00:53:14,175 [INFO] Epoch: 11 | Batch: 30/68 | Loss: 0.7204 | Acc: 69.15%
146
+ 2024-12-03 00:53:28,712 [INFO] Epoch: 11 | Batch: 40/68 | Loss: 0.6638 | Acc: 67.84%
147
+ 2024-12-03 00:53:44,058 [INFO] Epoch: 11 | Batch: 50/68 | Loss: 1.0325 | Acc: 67.34%
148
+ 2024-12-03 00:53:58,991 [INFO] Epoch: 11 | Batch: 60/68 | Loss: 0.8791 | Acc: 67.26%
149
+ 2024-12-03 00:54:10,439 [INFO] Epoch 11 - Train Loss: 0.7896 - Accuracy: 66.68%
150
+ 2024-12-03 00:55:32,739 [INFO] Epoch 11 | Valid Loss: 1.1517 | Accuracy: 59.43% | F1 Score: 0.5403
151
+ 2024-12-03 00:55:32,749 [INFO] Current learning rate: 0.0002
152
+ 2024-12-03 00:55:33,459 [INFO]
153
+ Epoch 13/25
154
+ 2024-12-03 00:56:09,860 [INFO] Epoch: 12 | Batch: 0/68 | Loss: 0.5024 | Acc: 75.00%
155
+ 2024-12-03 00:56:24,726 [INFO] Epoch: 12 | Batch: 10/68 | Loss: 0.6121 | Acc: 74.43%
156
+ 2024-12-03 00:56:39,635 [INFO] Epoch: 12 | Batch: 20/68 | Loss: 0.8288 | Acc: 71.88%
157
+ 2024-12-03 00:56:55,280 [INFO] Epoch: 12 | Batch: 30/68 | Loss: 0.7808 | Acc: 69.96%
158
+ 2024-12-03 00:57:10,492 [INFO] Epoch: 12 | Batch: 40/68 | Loss: 1.3603 | Acc: 68.52%
159
+ 2024-12-03 00:57:26,042 [INFO] Epoch: 12 | Batch: 50/68 | Loss: 0.5639 | Acc: 68.75%
160
+ 2024-12-03 00:57:40,343 [INFO] Epoch: 12 | Batch: 60/68 | Loss: 0.5387 | Acc: 68.95%
161
+ 2024-12-03 00:57:51,495 [INFO] Epoch 12 - Train Loss: 0.7007 - Accuracy: 69.05%
162
+ 2024-12-03 00:59:13,508 [INFO] Epoch 12 | Valid Loss: 1.3423 | Accuracy: 57.94% | F1 Score: 0.5264
163
+ 2024-12-03 00:59:13,518 [INFO] Current learning rate: 2e-05
164
+ 2024-12-03 00:59:14,221 [INFO]
165
+ Epoch 14/25
166
+ 2024-12-03 00:59:50,975 [INFO] Epoch: 13 | Batch: 0/68 | Loss: 0.7751 | Acc: 71.88%
167
+ 2024-12-03 01:00:06,144 [INFO] Epoch: 13 | Batch: 10/68 | Loss: 0.5786 | Acc: 69.89%
168
+ 2024-12-03 01:00:21,089 [INFO] Epoch: 13 | Batch: 20/68 | Loss: 0.6491 | Acc: 71.43%
169
+ 2024-12-03 01:00:35,984 [INFO] Epoch: 13 | Batch: 30/68 | Loss: 0.6424 | Acc: 72.28%
170
+ 2024-12-03 01:00:52,244 [INFO] Epoch: 13 | Batch: 40/68 | Loss: 0.5025 | Acc: 73.17%
171
+ 2024-12-03 01:01:07,135 [INFO] Epoch: 13 | Batch: 50/68 | Loss: 0.7784 | Acc: 72.67%
172
+ 2024-12-03 01:01:22,902 [INFO] Epoch: 13 | Batch: 60/68 | Loss: 0.6796 | Acc: 71.98%
173
+ 2024-12-03 01:01:33,958 [INFO] Epoch 13 - Train Loss: 0.6277 - Accuracy: 71.84%
174
+ 2024-12-03 01:02:56,313 [INFO] Epoch 13 | Valid Loss: 1.0604 | Accuracy: 63.98% | F1 Score: 0.5831
175
+ 2024-12-03 01:02:56,323 [INFO] Current learning rate: 2e-05
176
+ 2024-12-03 01:02:56,975 [INFO]
177
+ Epoch 15/25
178
+ 2024-12-03 01:03:33,547 [INFO] Epoch: 14 | Batch: 0/68 | Loss: 0.7056 | Acc: 68.75%
179
+ 2024-12-03 01:03:49,588 [INFO] Epoch: 14 | Batch: 10/68 | Loss: 0.6390 | Acc: 71.31%
180
+ 2024-12-03 01:04:04,904 [INFO] Epoch: 14 | Batch: 20/68 | Loss: 0.5940 | Acc: 72.32%
181
+ 2024-12-03 01:04:19,639 [INFO] Epoch: 14 | Batch: 30/68 | Loss: 0.8086 | Acc: 72.78%
182
+ 2024-12-03 01:04:34,610 [INFO] Epoch: 14 | Batch: 40/68 | Loss: 0.4984 | Acc: 72.64%
183
+ 2024-12-03 01:04:49,228 [INFO] Epoch: 14 | Batch: 50/68 | Loss: 0.4657 | Acc: 72.30%
184
+ 2024-12-03 01:05:04,448 [INFO] Epoch: 14 | Batch: 60/68 | Loss: 0.7798 | Acc: 72.34%
185
+ 2024-12-03 01:05:15,435 [INFO] Epoch 14 - Train Loss: 0.6036 - Accuracy: 72.21%
186
+ 2024-12-03 01:06:37,005 [INFO] Epoch 14 | Valid Loss: 1.0558 | Accuracy: 63.24% | F1 Score: 0.5778
187
+ 2024-12-03 01:06:37,014 [INFO] Current learning rate: 2e-05
188
+ 2024-12-03 01:06:37,653 [INFO]
189
+ Epoch 16/25
190
+ 2024-12-03 01:07:14,311 [INFO] Epoch: 15 | Batch: 0/68 | Loss: 0.5326 | Acc: 81.25%
191
+ 2024-12-03 01:07:28,629 [INFO] Epoch: 15 | Batch: 10/68 | Loss: 0.4921 | Acc: 74.72%
192
+ 2024-12-03 01:07:43,359 [INFO] Epoch: 15 | Batch: 20/68 | Loss: 0.5430 | Acc: 73.66%
193
+ 2024-12-03 01:07:58,173 [INFO] Epoch: 15 | Batch: 30/68 | Loss: 0.6547 | Acc: 73.29%
194
+ 2024-12-03 01:08:14,428 [INFO] Epoch: 15 | Batch: 40/68 | Loss: 0.4688 | Acc: 73.32%
195
+ 2024-12-03 01:08:29,734 [INFO] Epoch: 15 | Batch: 50/68 | Loss: 0.6780 | Acc: 73.16%
196
+ 2024-12-03 01:08:44,736 [INFO] Epoch: 15 | Batch: 60/68 | Loss: 0.5849 | Acc: 72.49%
197
+ 2024-12-03 01:08:55,815 [INFO] Epoch 15 - Train Loss: 0.5951 - Accuracy: 72.26%
198
+ 2024-12-03 01:10:18,073 [INFO] Epoch 15 | Valid Loss: 1.0474 | Accuracy: 64.28% | F1 Score: 0.5876
199
+ 2024-12-03 01:10:18,083 [INFO] Current learning rate: 2e-05
200
+ 2024-12-03 01:10:18,745 [INFO]
201
+ Epoch 17/25
202
+ 2024-12-03 01:10:56,331 [INFO] Epoch: 16 | Batch: 0/68 | Loss: 0.4900 | Acc: 75.00%
203
+ 2024-12-03 01:11:11,389 [INFO] Epoch: 16 | Batch: 10/68 | Loss: 0.6603 | Acc: 75.85%
204
+ 2024-12-03 01:11:26,081 [INFO] Epoch: 16 | Batch: 20/68 | Loss: 0.5929 | Acc: 72.92%
205
+ 2024-12-03 01:11:40,424 [INFO] Epoch: 16 | Batch: 30/68 | Loss: 0.7345 | Acc: 73.29%
206
+ 2024-12-03 01:11:55,223 [INFO] Epoch: 16 | Batch: 40/68 | Loss: 0.5100 | Acc: 73.93%
207
+ 2024-12-03 01:12:10,050 [INFO] Epoch: 16 | Batch: 50/68 | Loss: 0.4825 | Acc: 73.84%
208
+ 2024-12-03 01:12:24,923 [INFO] Epoch: 16 | Batch: 60/68 | Loss: 0.6207 | Acc: 73.41%
209
+ 2024-12-03 01:12:36,947 [INFO] Epoch 16 - Train Loss: 0.5764 - Accuracy: 73.47%
210
+ 2024-12-03 01:13:58,098 [INFO] Epoch 16 | Valid Loss: 1.0456 | Accuracy: 63.53% | F1 Score: 0.5800
211
+ 2024-12-03 01:13:58,108 [INFO] Current learning rate: 2e-05
212
+ 2024-12-03 01:13:58,756 [INFO]
213
+ Epoch 18/25
214
+ 2024-12-03 01:14:35,108 [INFO] Epoch: 17 | Batch: 0/68 | Loss: 0.5415 | Acc: 75.00%
215
+ 2024-12-03 01:14:50,997 [INFO] Epoch: 17 | Batch: 10/68 | Loss: 0.7184 | Acc: 72.73%
216
+ 2024-12-03 01:15:05,983 [INFO] Epoch: 17 | Batch: 20/68 | Loss: 0.5197 | Acc: 72.62%
217
+ 2024-12-03 01:15:21,226 [INFO] Epoch: 17 | Batch: 30/68 | Loss: 0.6089 | Acc: 73.39%
218
+ 2024-12-03 01:15:35,584 [INFO] Epoch: 17 | Batch: 40/68 | Loss: 0.5406 | Acc: 73.40%
219
+ 2024-12-03 01:15:50,821 [INFO] Epoch: 17 | Batch: 50/68 | Loss: 0.5665 | Acc: 74.14%
220
+ 2024-12-03 01:16:06,353 [INFO] Epoch: 17 | Batch: 60/68 | Loss: 0.3929 | Acc: 74.28%
221
+ 2024-12-03 01:16:17,453 [INFO] Epoch 17 - Train Loss: 0.5554 - Accuracy: 74.44%
222
+ 2024-12-03 01:17:39,406 [INFO] Epoch 17 | Valid Loss: 1.0424 | Accuracy: 63.98% | F1 Score: 0.5845
223
+ 2024-12-03 01:17:39,415 [INFO] Current learning rate: 2e-05
224
+ 2024-12-03 01:17:40,088 [INFO]
225
+ Epoch 19/25
226
+ 2024-12-03 01:18:16,618 [INFO] Epoch: 18 | Batch: 0/68 | Loss: 0.3993 | Acc: 78.12%
227
+ 2024-12-03 01:18:31,864 [INFO] Epoch: 18 | Batch: 10/68 | Loss: 0.4855 | Acc: 77.84%
228
+ 2024-12-03 01:18:46,302 [INFO] Epoch: 18 | Batch: 20/68 | Loss: 0.6408 | Acc: 75.89%
229
+ 2024-12-03 01:19:01,450 [INFO] Epoch: 18 | Batch: 30/68 | Loss: 0.3950 | Acc: 74.80%
230
+ 2024-12-03 01:19:16,435 [INFO] Epoch: 18 | Batch: 40/68 | Loss: 0.4120 | Acc: 74.09%
231
+ 2024-12-03 01:19:32,315 [INFO] Epoch: 18 | Batch: 50/68 | Loss: 0.5233 | Acc: 74.75%
232
+ 2024-12-03 01:19:47,561 [INFO] Epoch: 18 | Batch: 60/68 | Loss: 0.6114 | Acc: 73.62%
233
+ 2024-12-03 01:19:58,877 [INFO] Epoch 18 - Train Loss: 0.5654 - Accuracy: 73.65%
234
+ 2024-12-03 01:21:20,574 [INFO] Epoch 18 | Valid Loss: 1.0604 | Accuracy: 64.28% | F1 Score: 0.5870
235
+ 2024-12-03 01:21:20,583 [INFO] Current learning rate: 2.0000000000000003e-06
236
+ 2024-12-03 01:21:21,252 [INFO]
237
+ Epoch 20/25
238
+ 2024-12-03 01:21:58,250 [INFO] Epoch: 19 | Batch: 0/68 | Loss: 0.5091 | Acc: 75.00%
239
+ 2024-12-03 01:22:14,153 [INFO] Epoch: 19 | Batch: 10/68 | Loss: 0.4446 | Acc: 74.15%
240
+ 2024-12-03 01:22:29,183 [INFO] Epoch: 19 | Batch: 20/68 | Loss: 0.5632 | Acc: 76.49%
241
+ 2024-12-03 01:22:44,828 [INFO] Epoch: 19 | Batch: 30/68 | Loss: 0.6369 | Acc: 74.80%
242
+ 2024-12-03 01:22:59,247 [INFO] Epoch: 19 | Batch: 40/68 | Loss: 0.4627 | Acc: 75.23%
243
+ 2024-12-03 01:23:13,819 [INFO] Epoch: 19 | Batch: 50/68 | Loss: 1.0946 | Acc: 75.31%
244
+ 2024-12-03 01:23:29,149 [INFO] Epoch: 19 | Batch: 60/68 | Loss: 0.5358 | Acc: 74.90%
245
+ 2024-12-03 01:23:40,182 [INFO] Epoch 19 - Train Loss: 0.5504 - Accuracy: 74.77%
246
+ 2024-12-03 01:25:00,394 [INFO] Epoch 19 | Valid Loss: 1.0552 | Accuracy: 63.83% | F1 Score: 0.5815
247
+ 2024-12-03 01:25:00,405 [INFO] Current learning rate: 2.0000000000000003e-06
248
+ 2024-12-03 01:25:01,075 [INFO]
249
+ Epoch 21/25
250
+ 2024-12-03 01:25:36,995 [INFO] Epoch: 20 | Batch: 0/68 | Loss: 0.4298 | Acc: 75.00%
251
+ 2024-12-03 01:25:51,934 [INFO] Epoch: 20 | Batch: 10/68 | Loss: 0.4286 | Acc: 76.70%
252
+ 2024-12-03 01:26:06,815 [INFO] Epoch: 20 | Batch: 20/68 | Loss: 0.4847 | Acc: 76.04%
253
+ 2024-12-03 01:26:21,112 [INFO] Epoch: 20 | Batch: 30/68 | Loss: 0.6166 | Acc: 75.50%
254
+ 2024-12-03 01:26:36,008 [INFO] Epoch: 20 | Batch: 40/68 | Loss: 0.2990 | Acc: 74.70%
255
+ 2024-12-03 01:26:50,315 [INFO] Epoch: 20 | Batch: 50/68 | Loss: 0.6030 | Acc: 74.51%
256
+ 2024-12-03 01:27:05,248 [INFO] Epoch: 20 | Batch: 60/68 | Loss: 0.5957 | Acc: 74.13%
257
+ 2024-12-03 01:27:16,197 [INFO] Epoch 20 - Train Loss: 0.5504 - Accuracy: 74.12%
258
+ 2024-12-03 01:28:37,079 [INFO] Epoch 20 | Valid Loss: 1.0595 | Accuracy: 64.35% | F1 Score: 0.5882
259
+ 2024-12-03 01:28:37,089 [INFO] Current learning rate: 2.0000000000000003e-06
260
+ 2024-12-03 01:28:37,758 [INFO]
261
+ Epoch 22/25
262
+ 2024-12-03 01:29:13,421 [INFO] Epoch: 21 | Batch: 0/68 | Loss: 0.5331 | Acc: 78.12%
263
+ 2024-12-03 01:29:27,905 [INFO] Epoch: 21 | Batch: 10/68 | Loss: 0.6105 | Acc: 75.85%
264
+ 2024-12-03 01:29:43,095 [INFO] Epoch: 21 | Batch: 20/68 | Loss: 0.4579 | Acc: 74.11%
265
+ 2024-12-03 01:29:57,648 [INFO] Epoch: 21 | Batch: 30/68 | Loss: 0.5744 | Acc: 73.69%
266
+ 2024-12-03 01:30:13,448 [INFO] Epoch: 21 | Batch: 40/68 | Loss: 0.5142 | Acc: 73.78%
267
+ 2024-12-03 01:30:28,309 [INFO] Epoch: 21 | Batch: 50/68 | Loss: 0.6388 | Acc: 73.59%
268
+ 2024-12-03 01:30:43,961 [INFO] Epoch: 21 | Batch: 60/68 | Loss: 0.5132 | Acc: 73.57%
269
+ 2024-12-03 01:30:54,936 [INFO] Epoch 21 - Train Loss: 0.5576 - Accuracy: 73.88%
270
+ 2024-12-03 01:32:15,038 [INFO] Epoch 21 | Valid Loss: 1.0630 | Accuracy: 63.83% | F1 Score: 0.5825
271
+ 2024-12-03 01:32:15,055 [INFO] Current learning rate: 2.0000000000000003e-06
272
+ 2024-12-03 01:32:15,755 [INFO]
273
+ Epoch 23/25
274
+ 2024-12-03 01:32:51,645 [INFO] Epoch: 22 | Batch: 0/68 | Loss: 0.4879 | Acc: 81.25%
275
+ 2024-12-03 01:33:06,629 [INFO] Epoch: 22 | Batch: 10/68 | Loss: 0.4323 | Acc: 71.59%
276
+ 2024-12-03 01:33:21,210 [INFO] Epoch: 22 | Batch: 20/68 | Loss: 0.4341 | Acc: 70.98%
277
+ 2024-12-03 01:33:36,057 [INFO] Epoch: 22 | Batch: 30/68 | Loss: 0.5111 | Acc: 72.18%
278
+ 2024-12-03 01:33:50,716 [INFO] Epoch: 22 | Batch: 40/68 | Loss: 0.4060 | Acc: 73.17%
279
+ 2024-12-03 01:34:05,463 [INFO] Epoch: 22 | Batch: 50/68 | Loss: 0.5352 | Acc: 73.22%
280
+ 2024-12-03 01:34:19,779 [INFO] Epoch: 22 | Batch: 60/68 | Loss: 0.3839 | Acc: 73.82%
281
+ 2024-12-03 01:34:30,764 [INFO] Epoch 22 - Train Loss: 0.5572 - Accuracy: 73.42%
282
+ 2024-12-03 01:35:50,293 [INFO] Epoch 22 | Valid Loss: 1.0720 | Accuracy: 63.31% | F1 Score: 0.5776
283
+ 2024-12-03 01:35:50,303 [INFO] Current learning rate: 2.0000000000000003e-06
284
+ 2024-12-03 01:35:50,957 [INFO]
285
+ Epoch 24/25