bombshelll commited on
Commit
9052793
·
verified ·
1 Parent(s): 00626cf

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -2
  2. all_results.json +9 -9
  3. eval_results.json +5 -5
  4. train_results.json +4 -4
  5. trainer_state.json +63 -63
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.1955
22
- - Accuracy: 0.9268
23
 
24
  ## Model description
25
 
 
18
 
19
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.1269
22
+ - Accuracy: 0.9540
23
 
24
  ## Model description
25
 
all_results.json CHANGED
@@ -1,13 +1,13 @@
1
  {
2
  "epoch": 4.888888888888889,
3
- "eval_accuracy": 0.9665271966527197,
4
- "eval_loss": 0.08974912762641907,
5
- "eval_runtime": 2.1958,
6
- "eval_samples_per_second": 217.687,
7
- "eval_steps_per_second": 6.831,
8
  "total_flos": 5.227711603505234e+17,
9
- "train_loss": 0.1524324781966932,
10
- "train_runtime": 238.6908,
11
- "train_samples_per_second": 90.033,
12
- "train_steps_per_second": 0.691
13
  }
 
1
  {
2
  "epoch": 4.888888888888889,
3
+ "eval_accuracy": 0.9539748953974896,
4
+ "eval_loss": 0.1269269734621048,
5
+ "eval_runtime": 2.0892,
6
+ "eval_samples_per_second": 228.797,
7
+ "eval_steps_per_second": 7.18,
8
  "total_flos": 5.227711603505234e+17,
9
+ "train_loss": 0.21765360832214356,
10
+ "train_runtime": 241.9634,
11
+ "train_samples_per_second": 88.815,
12
+ "train_steps_per_second": 0.682
13
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 4.888888888888889,
3
- "eval_accuracy": 0.9665271966527197,
4
- "eval_loss": 0.08974912762641907,
5
- "eval_runtime": 2.1958,
6
- "eval_samples_per_second": 217.687,
7
- "eval_steps_per_second": 6.831
8
  }
 
1
  {
2
  "epoch": 4.888888888888889,
3
+ "eval_accuracy": 0.9539748953974896,
4
+ "eval_loss": 0.1269269734621048,
5
+ "eval_runtime": 2.0892,
6
+ "eval_samples_per_second": 228.797,
7
+ "eval_steps_per_second": 7.18
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 4.888888888888889,
3
  "total_flos": 5.227711603505234e+17,
4
- "train_loss": 0.1524324781966932,
5
- "train_runtime": 238.6908,
6
- "train_samples_per_second": 90.033,
7
- "train_steps_per_second": 0.691
8
  }
 
1
  {
2
  "epoch": 4.888888888888889,
3
  "total_flos": 5.227711603505234e+17,
4
+ "train_loss": 0.21765360832214356,
5
+ "train_runtime": 241.9634,
6
+ "train_samples_per_second": 88.815,
7
+ "train_steps_per_second": 0.682
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": 0.9665271966527197,
3
- "best_model_checkpoint": "/kaggle/working/swin-brain-abnormalities-classification/checkpoint-165",
4
  "epoch": 4.888888888888889,
5
  "eval_steps": 500,
6
  "global_step": 165,
@@ -10,169 +10,169 @@
10
  "log_history": [
11
  {
12
  "epoch": 0.2962962962962963,
13
- "grad_norm": 5.920434951782227,
14
  "learning_rate": 2.9411764705882354e-05,
15
- "loss": 0.2993,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.5925925925925926,
20
- "grad_norm": 11.511192321777344,
21
  "learning_rate": 4.8986486486486486e-05,
22
- "loss": 0.2762,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.8888888888888888,
27
- "grad_norm": 11.25218677520752,
28
  "learning_rate": 4.560810810810811e-05,
29
- "loss": 0.2275,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.9777777777777777,
34
- "eval_accuracy": 0.8786610878661087,
35
- "eval_loss": 0.3053434491157532,
36
- "eval_runtime": 2.1724,
37
- "eval_samples_per_second": 220.033,
38
- "eval_steps_per_second": 6.905,
39
  "step": 33
40
  },
41
  {
42
  "epoch": 1.1851851851851851,
43
- "grad_norm": 7.5714945793151855,
44
  "learning_rate": 4.222972972972973e-05,
45
- "loss": 0.2104,
46
  "step": 40
47
  },
48
  {
49
  "epoch": 1.4814814814814814,
50
- "grad_norm": 5.060845851898193,
51
  "learning_rate": 3.885135135135135e-05,
52
- "loss": 0.1783,
53
  "step": 50
54
  },
55
  {
56
  "epoch": 1.7777777777777777,
57
- "grad_norm": 4.324786186218262,
58
  "learning_rate": 3.547297297297297e-05,
59
- "loss": 0.1635,
60
  "step": 60
61
  },
62
  {
63
  "epoch": 1.9851851851851852,
64
- "eval_accuracy": 0.9560669456066946,
65
- "eval_loss": 0.1382259577512741,
66
- "eval_runtime": 2.1943,
67
- "eval_samples_per_second": 217.84,
68
- "eval_steps_per_second": 6.836,
69
  "step": 67
70
  },
71
  {
72
  "epoch": 2.074074074074074,
73
- "grad_norm": 4.530977249145508,
74
  "learning_rate": 3.20945945945946e-05,
75
- "loss": 0.1554,
76
  "step": 70
77
  },
78
  {
79
  "epoch": 2.3703703703703702,
80
- "grad_norm": 6.494528770446777,
81
  "learning_rate": 2.8716216216216217e-05,
82
- "loss": 0.1448,
83
  "step": 80
84
  },
85
  {
86
  "epoch": 2.6666666666666665,
87
- "grad_norm": 4.873690128326416,
88
  "learning_rate": 2.533783783783784e-05,
89
- "loss": 0.098,
90
  "step": 90
91
  },
92
  {
93
  "epoch": 2.962962962962963,
94
- "grad_norm": 2.7952539920806885,
95
  "learning_rate": 2.195945945945946e-05,
96
- "loss": 0.1359,
97
  "step": 100
98
  },
99
  {
100
  "epoch": 2.9925925925925925,
101
- "eval_accuracy": 0.9205020920502092,
102
- "eval_loss": 0.20204488933086395,
103
- "eval_runtime": 2.1866,
104
- "eval_samples_per_second": 218.608,
105
- "eval_steps_per_second": 6.86,
106
  "step": 101
107
  },
108
  {
109
  "epoch": 3.259259259259259,
110
- "grad_norm": 6.09904670715332,
111
  "learning_rate": 1.8581081081081082e-05,
112
- "loss": 0.1232,
113
  "step": 110
114
  },
115
  {
116
  "epoch": 3.5555555555555554,
117
- "grad_norm": 8.267931938171387,
118
  "learning_rate": 1.5202702702702704e-05,
119
- "loss": 0.1143,
120
  "step": 120
121
  },
122
  {
123
  "epoch": 3.851851851851852,
124
- "grad_norm": 3.9983508586883545,
125
  "learning_rate": 1.1824324324324325e-05,
126
- "loss": 0.0876,
127
  "step": 130
128
  },
129
  {
130
  "epoch": 4.0,
131
- "eval_accuracy": 0.9602510460251046,
132
- "eval_loss": 0.10952634364366531,
133
- "eval_runtime": 2.1565,
134
- "eval_samples_per_second": 221.657,
135
- "eval_steps_per_second": 6.956,
136
  "step": 135
137
  },
138
  {
139
  "epoch": 4.148148148148148,
140
- "grad_norm": 8.512967109680176,
141
  "learning_rate": 8.445945945945946e-06,
142
- "loss": 0.0823,
143
  "step": 140
144
  },
145
  {
146
  "epoch": 4.444444444444445,
147
- "grad_norm": 5.426952362060547,
148
  "learning_rate": 5.067567567567568e-06,
149
- "loss": 0.0878,
150
  "step": 150
151
  },
152
  {
153
  "epoch": 4.7407407407407405,
154
- "grad_norm": 3.7845118045806885,
155
  "learning_rate": 1.6891891891891894e-06,
156
- "loss": 0.0792,
157
  "step": 160
158
  },
159
  {
160
  "epoch": 4.888888888888889,
161
- "eval_accuracy": 0.9665271966527197,
162
- "eval_loss": 0.08974912762641907,
163
- "eval_runtime": 2.3398,
164
- "eval_samples_per_second": 204.294,
165
- "eval_steps_per_second": 6.411,
166
  "step": 165
167
  },
168
  {
169
  "epoch": 4.888888888888889,
170
  "step": 165,
171
  "total_flos": 5.227711603505234e+17,
172
- "train_loss": 0.1524324781966932,
173
- "train_runtime": 238.6908,
174
- "train_samples_per_second": 90.033,
175
- "train_steps_per_second": 0.691
176
  }
177
  ],
178
  "logging_steps": 10,
 
1
  {
2
+ "best_metric": 0.9539748953974896,
3
+ "best_model_checkpoint": "/kaggle/working/swin-brain-abnormalities-classification/checkpoint-67",
4
  "epoch": 4.888888888888889,
5
  "eval_steps": 500,
6
  "global_step": 165,
 
10
  "log_history": [
11
  {
12
  "epoch": 0.2962962962962963,
13
+ "grad_norm": 6.636901378631592,
14
  "learning_rate": 2.9411764705882354e-05,
15
+ "loss": 0.6953,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.5925925925925926,
20
+ "grad_norm": 6.13917875289917,
21
  "learning_rate": 4.8986486486486486e-05,
22
+ "loss": 0.5258,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.8888888888888888,
27
+ "grad_norm": 11.583443641662598,
28
  "learning_rate": 4.560810810810811e-05,
29
+ "loss": 0.3828,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.9777777777777777,
34
+ "eval_accuracy": 0.9476987447698745,
35
+ "eval_loss": 0.1775338351726532,
36
+ "eval_runtime": 2.0764,
37
+ "eval_samples_per_second": 230.211,
38
+ "eval_steps_per_second": 7.224,
39
  "step": 33
40
  },
41
  {
42
  "epoch": 1.1851851851851851,
43
+ "grad_norm": 9.379976272583008,
44
  "learning_rate": 4.222972972972973e-05,
45
+ "loss": 0.2432,
46
  "step": 40
47
  },
48
  {
49
  "epoch": 1.4814814814814814,
50
+ "grad_norm": 15.643810272216797,
51
  "learning_rate": 3.885135135135135e-05,
52
+ "loss": 0.224,
53
  "step": 50
54
  },
55
  {
56
  "epoch": 1.7777777777777777,
57
+ "grad_norm": 13.25466251373291,
58
  "learning_rate": 3.547297297297297e-05,
59
+ "loss": 0.2035,
60
  "step": 60
61
  },
62
  {
63
  "epoch": 1.9851851851851852,
64
+ "eval_accuracy": 0.9539748953974896,
65
+ "eval_loss": 0.1269269734621048,
66
+ "eval_runtime": 2.0767,
67
+ "eval_samples_per_second": 230.168,
68
+ "eval_steps_per_second": 7.223,
69
  "step": 67
70
  },
71
  {
72
  "epoch": 2.074074074074074,
73
+ "grad_norm": 4.5529375076293945,
74
  "learning_rate": 3.20945945945946e-05,
75
+ "loss": 0.2084,
76
  "step": 70
77
  },
78
  {
79
  "epoch": 2.3703703703703702,
80
+ "grad_norm": 6.6440510749816895,
81
  "learning_rate": 2.8716216216216217e-05,
82
+ "loss": 0.1469,
83
  "step": 80
84
  },
85
  {
86
  "epoch": 2.6666666666666665,
87
+ "grad_norm": 8.589104652404785,
88
  "learning_rate": 2.533783783783784e-05,
89
+ "loss": 0.1418,
90
  "step": 90
91
  },
92
  {
93
  "epoch": 2.962962962962963,
94
+ "grad_norm": 7.876743316650391,
95
  "learning_rate": 2.195945945945946e-05,
96
+ "loss": 0.1169,
97
  "step": 100
98
  },
99
  {
100
  "epoch": 2.9925925925925925,
101
+ "eval_accuracy": 0.895397489539749,
102
+ "eval_loss": 0.29792535305023193,
103
+ "eval_runtime": 2.0816,
104
+ "eval_samples_per_second": 229.631,
105
+ "eval_steps_per_second": 7.206,
106
  "step": 101
107
  },
108
  {
109
  "epoch": 3.259259259259259,
110
+ "grad_norm": 11.468679428100586,
111
  "learning_rate": 1.8581081081081082e-05,
112
+ "loss": 0.113,
113
  "step": 110
114
  },
115
  {
116
  "epoch": 3.5555555555555554,
117
+ "grad_norm": 6.2079243659973145,
118
  "learning_rate": 1.5202702702702704e-05,
119
+ "loss": 0.1233,
120
  "step": 120
121
  },
122
  {
123
  "epoch": 3.851851851851852,
124
+ "grad_norm": 8.388455390930176,
125
  "learning_rate": 1.1824324324324325e-05,
126
+ "loss": 0.1092,
127
  "step": 130
128
  },
129
  {
130
  "epoch": 4.0,
131
+ "eval_accuracy": 0.9497907949790795,
132
+ "eval_loss": 0.13454261422157288,
133
+ "eval_runtime": 2.1004,
134
+ "eval_samples_per_second": 227.575,
135
+ "eval_steps_per_second": 7.141,
136
  "step": 135
137
  },
138
  {
139
  "epoch": 4.148148148148148,
140
+ "grad_norm": 3.2076687812805176,
141
  "learning_rate": 8.445945945945946e-06,
142
+ "loss": 0.101,
143
  "step": 140
144
  },
145
  {
146
  "epoch": 4.444444444444445,
147
+ "grad_norm": 7.242957592010498,
148
  "learning_rate": 5.067567567567568e-06,
149
+ "loss": 0.1045,
150
  "step": 150
151
  },
152
  {
153
  "epoch": 4.7407407407407405,
154
+ "grad_norm": 5.747795581817627,
155
  "learning_rate": 1.6891891891891894e-06,
156
+ "loss": 0.0882,
157
  "step": 160
158
  },
159
  {
160
  "epoch": 4.888888888888889,
161
+ "eval_accuracy": 0.9267782426778243,
162
+ "eval_loss": 0.19552066922187805,
163
+ "eval_runtime": 2.1612,
164
+ "eval_samples_per_second": 221.178,
165
+ "eval_steps_per_second": 6.941,
166
  "step": 165
167
  },
168
  {
169
  "epoch": 4.888888888888889,
170
  "step": 165,
171
  "total_flos": 5.227711603505234e+17,
172
+ "train_loss": 0.21765360832214356,
173
+ "train_runtime": 241.9634,
174
+ "train_samples_per_second": 88.815,
175
+ "train_steps_per_second": 0.682
176
  }
177
  ],
178
  "logging_steps": 10,