amjadfqs commited on
Commit
89cc4c4
1 Parent(s): 3d9c7c4

Model save

Browse files
all_results.json CHANGED
@@ -8,8 +8,8 @@
8
  "eval_samples_per_second": 17.707,
9
  "eval_steps_per_second": 0.182,
10
  "total_flos": 4.0507959904511017e+18,
11
- "train_loss": 0.25211207201847663,
12
- "train_runtime": 12845.6349,
13
- "train_samples_per_second": 4.1,
14
  "train_steps_per_second": 0.01
15
  }
 
8
  "eval_samples_per_second": 17.707,
9
  "eval_steps_per_second": 0.182,
10
  "total_flos": 4.0507959904511017e+18,
11
+ "train_loss": 0.24763968403522785,
12
+ "train_runtime": 12598.2707,
13
+ "train_samples_per_second": 4.181,
14
  "train_steps_per_second": 0.01
15
  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d792f76b5fdeab870c22c5bdb82fdf59f7edf7032e8c8c03983d4208c02eb57e
3
  size 347601681
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a19741c3c3831a76321fca90dff341b2d0ea5a3d1829b874a32b8a10d9b20c2
3
  size 347601681
runs/May25_07-19-58_project/events.out.tfevents.1684999207.project.85641.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c588f908f9533bdd2a03b185a15587bf36cb18c647022ddcc7d8ef32b2feaf47
3
- size 10843
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24f23dc7e0bee00073223cc2104d7575f41402099e745e647d0b22e70af58ea3
3
+ size 11197
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 9.81,
3
  "total_flos": 4.0507959904511017e+18,
4
- "train_loss": 0.25211207201847663,
5
- "train_runtime": 12845.6349,
6
- "train_samples_per_second": 4.1,
7
  "train_steps_per_second": 0.01
8
  }
 
1
  {
2
  "epoch": 9.81,
3
  "total_flos": 4.0507959904511017e+18,
4
+ "train_loss": 0.24763968403522785,
5
+ "train_runtime": 12598.2707,
6
+ "train_samples_per_second": 4.181,
7
  "train_steps_per_second": 0.01
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": 0.9698177676537585,
3
- "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_05/checkpoint-130",
4
  "epoch": 9.81132075471698,
5
  "global_step": 130,
6
  "is_hyper_param_search": false,
@@ -10,35 +10,35 @@
10
  {
11
  "epoch": 0.75,
12
  "learning_rate": 3.846153846153846e-05,
13
- "loss": 1.3233,
14
  "step": 10
15
  },
16
  {
17
  "epoch": 0.98,
18
- "eval_accuracy": 0.7813211845102506,
19
- "eval_f1_score": 0.7712648163133784,
20
- "eval_loss": 0.7675661444664001,
21
- "eval_precision": 0.7795759501080758,
22
- "eval_runtime": 101.0485,
23
- "eval_samples_per_second": 17.378,
24
- "eval_steps_per_second": 0.178,
25
  "step": 13
26
  },
27
  {
28
  "epoch": 1.51,
29
  "learning_rate": 4.700854700854701e-05,
30
- "loss": 0.6659,
31
  "step": 20
32
  },
33
  {
34
  "epoch": 1.96,
35
- "eval_accuracy": 0.9145785876993167,
36
- "eval_f1_score": 0.911126636903928,
37
- "eval_loss": 0.2466699331998825,
38
- "eval_precision": 0.9128365808009684,
39
- "eval_runtime": 101.2043,
40
- "eval_samples_per_second": 17.351,
41
- "eval_steps_per_second": 0.178,
42
  "step": 26
43
  },
44
  {
@@ -49,159 +49,159 @@
49
  },
50
  {
51
  "epoch": 2.94,
52
- "eval_accuracy": 0.9441913439635535,
53
- "eval_f1_score": 0.9417095477838238,
54
- "eval_loss": 0.15920311212539673,
55
- "eval_precision": 0.9409731109863889,
56
- "eval_runtime": 101.5776,
57
- "eval_samples_per_second": 17.287,
58
- "eval_steps_per_second": 0.177,
59
  "step": 39
60
  },
61
  {
62
  "epoch": 3.02,
63
  "learning_rate": 3.846153846153846e-05,
64
- "loss": 0.2058,
65
  "step": 40
66
  },
67
  {
68
  "epoch": 3.77,
69
  "learning_rate": 3.418803418803419e-05,
70
- "loss": 0.1505,
71
  "step": 50
72
  },
73
  {
74
  "epoch": 4.0,
75
- "eval_accuracy": 0.9607061503416856,
76
- "eval_f1_score": 0.9585866813576853,
77
- "eval_loss": 0.12405357509851456,
78
- "eval_precision": 0.9599668342433857,
79
- "eval_runtime": 101.5532,
80
- "eval_samples_per_second": 17.291,
81
- "eval_steps_per_second": 0.177,
82
  "step": 53
83
  },
84
  {
85
  "epoch": 4.53,
86
  "learning_rate": 2.9914529914529915e-05,
87
- "loss": 0.1369,
88
  "step": 60
89
  },
90
  {
91
  "epoch": 4.98,
92
- "eval_accuracy": 0.9584282460136674,
93
- "eval_f1_score": 0.9568426641687635,
94
- "eval_loss": 0.11865244805812836,
95
- "eval_precision": 0.9561593308993074,
96
- "eval_runtime": 99.8374,
97
- "eval_samples_per_second": 17.589,
98
- "eval_steps_per_second": 0.18,
99
  "step": 66
100
  },
101
  {
102
  "epoch": 5.28,
103
  "learning_rate": 2.564102564102564e-05,
104
- "loss": 0.1014,
105
  "step": 70
106
  },
107
  {
108
  "epoch": 5.96,
109
- "eval_accuracy": 0.9629840546697038,
110
- "eval_f1_score": 0.961408175995166,
111
- "eval_loss": 0.10318630188703537,
112
- "eval_precision": 0.9605425088756555,
113
- "eval_runtime": 97.4837,
114
- "eval_samples_per_second": 18.013,
115
- "eval_steps_per_second": 0.185,
116
  "step": 79
117
  },
118
  {
119
  "epoch": 6.04,
120
  "learning_rate": 2.1367521367521368e-05,
121
- "loss": 0.0915,
122
  "step": 80
123
  },
124
  {
125
  "epoch": 6.79,
126
  "learning_rate": 1.7094017094017095e-05,
127
- "loss": 0.0701,
128
  "step": 90
129
  },
130
  {
131
  "epoch": 6.94,
132
- "eval_accuracy": 0.964123006833713,
133
- "eval_f1_score": 0.9626001264665038,
134
- "eval_loss": 0.0937563106417656,
135
- "eval_precision": 0.9616476162827179,
136
- "eval_runtime": 97.9129,
137
- "eval_samples_per_second": 17.934,
138
- "eval_steps_per_second": 0.184,
139
  "step": 92
140
  },
141
  {
142
  "epoch": 7.55,
143
  "learning_rate": 1.282051282051282e-05,
144
- "loss": 0.0573,
145
  "step": 100
146
  },
147
  {
148
  "epoch": 8.0,
149
- "eval_accuracy": 0.9646924829157175,
150
- "eval_f1_score": 0.9631470884281366,
151
- "eval_loss": 0.09413320571184158,
152
- "eval_precision": 0.962286619602796,
153
- "eval_runtime": 97.7324,
154
- "eval_samples_per_second": 17.967,
155
- "eval_steps_per_second": 0.184,
156
  "step": 106
157
  },
158
  {
159
  "epoch": 8.3,
160
  "learning_rate": 8.547008547008548e-06,
161
- "loss": 0.0614,
162
  "step": 110
163
  },
164
  {
165
  "epoch": 8.98,
166
- "eval_accuracy": 0.9686788154897494,
167
- "eval_f1_score": 0.9673690693947884,
168
- "eval_loss": 0.08304769545793533,
169
- "eval_precision": 0.9666280950722521,
170
- "eval_runtime": 97.3333,
171
- "eval_samples_per_second": 18.041,
172
- "eval_steps_per_second": 0.185,
173
  "step": 119
174
  },
175
  {
176
  "epoch": 9.06,
177
  "learning_rate": 4.273504273504274e-06,
178
- "loss": 0.0477,
179
  "step": 120
180
  },
181
  {
182
  "epoch": 9.81,
183
  "learning_rate": 0.0,
184
- "loss": 0.0534,
185
  "step": 130
186
  },
187
  {
188
  "epoch": 9.81,
189
- "eval_accuracy": 0.9698177676537585,
190
- "eval_f1_score": 0.9685806509996516,
191
- "eval_loss": 0.0791645273566246,
192
- "eval_precision": 0.9677462875813125,
193
- "eval_runtime": 96.7311,
194
- "eval_samples_per_second": 18.153,
195
- "eval_steps_per_second": 0.186,
196
  "step": 130
197
  },
198
  {
199
  "epoch": 9.81,
200
  "step": 130,
201
  "total_flos": 4.0507959904511017e+18,
202
- "train_loss": 0.25211207201847663,
203
- "train_runtime": 12845.6349,
204
- "train_samples_per_second": 4.1,
205
  "train_steps_per_second": 0.01
206
  }
207
  ],
 
1
  {
2
+ "best_metric": 0.9612756264236902,
3
+ "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_05/checkpoint-119",
4
  "epoch": 9.81132075471698,
5
  "global_step": 130,
6
  "is_hyper_param_search": false,
 
10
  {
11
  "epoch": 0.75,
12
  "learning_rate": 3.846153846153846e-05,
13
+ "loss": 1.2801,
14
  "step": 10
15
  },
16
  {
17
  "epoch": 0.98,
18
+ "eval_accuracy": 0.7334851936218679,
19
+ "eval_f1_score": 0.6819378476028093,
20
+ "eval_loss": 0.6953378915786743,
21
+ "eval_precision": 0.7814841641088601,
22
+ "eval_runtime": 97.6499,
23
+ "eval_samples_per_second": 17.983,
24
+ "eval_steps_per_second": 0.184,
25
  "step": 13
26
  },
27
  {
28
  "epoch": 1.51,
29
  "learning_rate": 4.700854700854701e-05,
30
+ "loss": 0.5928,
31
  "step": 20
32
  },
33
  {
34
  "epoch": 1.96,
35
+ "eval_accuracy": 0.8439635535307517,
36
+ "eval_f1_score": 0.8218392340787131,
37
+ "eval_loss": 0.36913004517555237,
38
+ "eval_precision": 0.8629331906968071,
39
+ "eval_runtime": 98.5423,
40
+ "eval_samples_per_second": 17.82,
41
+ "eval_steps_per_second": 0.183,
42
  "step": 26
43
  },
44
  {
 
49
  },
50
  {
51
  "epoch": 2.94,
52
+ "eval_accuracy": 0.9402050113895216,
53
+ "eval_f1_score": 0.9376934627711648,
54
+ "eval_loss": 0.1664360910654068,
55
+ "eval_precision": 0.9372834354775984,
56
+ "eval_runtime": 98.2633,
57
+ "eval_samples_per_second": 17.87,
58
+ "eval_steps_per_second": 0.183,
59
  "step": 39
60
  },
61
  {
62
  "epoch": 3.02,
63
  "learning_rate": 3.846153846153846e-05,
64
+ "loss": 0.2126,
65
  "step": 40
66
  },
67
  {
68
  "epoch": 3.77,
69
  "learning_rate": 3.418803418803419e-05,
70
+ "loss": 0.1513,
71
  "step": 50
72
  },
73
  {
74
  "epoch": 4.0,
75
+ "eval_accuracy": 0.9493166287015945,
76
+ "eval_f1_score": 0.946764839402658,
77
+ "eval_loss": 0.12917135655879974,
78
+ "eval_precision": 0.9467432643975303,
79
+ "eval_runtime": 98.2109,
80
+ "eval_samples_per_second": 17.88,
81
+ "eval_steps_per_second": 0.183,
82
  "step": 53
83
  },
84
  {
85
  "epoch": 4.53,
86
  "learning_rate": 2.9914529914529915e-05,
87
+ "loss": 0.1227,
88
  "step": 60
89
  },
90
  {
91
  "epoch": 4.98,
92
+ "eval_accuracy": 0.9601366742596811,
93
+ "eval_f1_score": 0.9577004674687181,
94
+ "eval_loss": 0.10297826677560806,
95
+ "eval_precision": 0.9585044832737867,
96
+ "eval_runtime": 98.5318,
97
+ "eval_samples_per_second": 17.822,
98
+ "eval_steps_per_second": 0.183,
99
  "step": 66
100
  },
101
  {
102
  "epoch": 5.28,
103
  "learning_rate": 2.564102564102564e-05,
104
+ "loss": 0.1201,
105
  "step": 70
106
  },
107
  {
108
  "epoch": 5.96,
109
+ "eval_accuracy": 0.9521640091116174,
110
+ "eval_f1_score": 0.9496468070250672,
111
+ "eval_loss": 0.13124699890613556,
112
+ "eval_precision": 0.9507681413941178,
113
+ "eval_runtime": 98.5344,
114
+ "eval_samples_per_second": 17.821,
115
+ "eval_steps_per_second": 0.183,
116
  "step": 79
117
  },
118
  {
119
  "epoch": 6.04,
120
  "learning_rate": 2.1367521367521368e-05,
121
+ "loss": 0.0944,
122
  "step": 80
123
  },
124
  {
125
  "epoch": 6.79,
126
  "learning_rate": 1.7094017094017095e-05,
127
+ "loss": 0.0806,
128
  "step": 90
129
  },
130
  {
131
  "epoch": 6.94,
132
+ "eval_accuracy": 0.9521640091116174,
133
+ "eval_f1_score": 0.949395889082985,
134
+ "eval_loss": 0.13055862486362457,
135
+ "eval_precision": 0.9520270707803286,
136
+ "eval_runtime": 98.5921,
137
+ "eval_samples_per_second": 17.811,
138
+ "eval_steps_per_second": 0.183,
139
  "step": 92
140
  },
141
  {
142
  "epoch": 7.55,
143
  "learning_rate": 1.282051282051282e-05,
144
+ "loss": 0.0645,
145
  "step": 100
146
  },
147
  {
148
  "epoch": 8.0,
149
+ "eval_accuracy": 0.9481776765375854,
150
+ "eval_f1_score": 0.9456907186542356,
151
+ "eval_loss": 0.1474340707063675,
152
+ "eval_precision": 0.9490296575935105,
153
+ "eval_runtime": 99.0913,
154
+ "eval_samples_per_second": 17.721,
155
+ "eval_steps_per_second": 0.182,
156
  "step": 106
157
  },
158
  {
159
  "epoch": 8.3,
160
  "learning_rate": 8.547008547008548e-06,
161
+ "loss": 0.0668,
162
  "step": 110
163
  },
164
  {
165
  "epoch": 8.98,
166
+ "eval_accuracy": 0.9612756264236902,
167
+ "eval_f1_score": 0.958900317010581,
168
+ "eval_loss": 0.09466192126274109,
169
+ "eval_precision": 0.9599768804661375,
170
+ "eval_runtime": 98.9726,
171
+ "eval_samples_per_second": 17.742,
172
+ "eval_steps_per_second": 0.182,
173
  "step": 119
174
  },
175
  {
176
  "epoch": 9.06,
177
  "learning_rate": 4.273504273504274e-06,
178
+ "loss": 0.0634,
179
  "step": 120
180
  },
181
  {
182
  "epoch": 9.81,
183
  "learning_rate": 0.0,
184
+ "loss": 0.0577,
185
  "step": 130
186
  },
187
  {
188
  "epoch": 9.81,
189
+ "eval_accuracy": 0.9584282460136674,
190
+ "eval_f1_score": 0.9561665241651066,
191
+ "eval_loss": 0.11360929906368256,
192
+ "eval_precision": 0.9575941658443274,
193
+ "eval_runtime": 98.1484,
194
+ "eval_samples_per_second": 17.891,
195
+ "eval_steps_per_second": 0.183,
196
  "step": 130
197
  },
198
  {
199
  "epoch": 9.81,
200
  "step": 130,
201
  "total_flos": 4.0507959904511017e+18,
202
+ "train_loss": 0.24763968403522785,
203
+ "train_runtime": 12598.2707,
204
+ "train_samples_per_second": 4.181,
205
  "train_steps_per_second": 0.01
206
  }
207
  ],