File size: 7,197 Bytes
cc8dff2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
{
  "best_metric": 0.9783974862529458,
  "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_13/checkpoint-190",
  "epoch": 9.87012987012987,
  "global_step": 190,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.52,
      "learning_rate": 5.2631578947368424e-05,
      "loss": 1.2276,
      "step": 10
    },
    {
      "epoch": 0.99,
      "eval_accuracy": 0.7890809112333071,
      "eval_f1_score": 0.7954599083673124,
      "eval_loss": 0.5720934271812439,
      "eval_precision": 0.8400539553083136,
      "eval_runtime": 146.2202,
      "eval_samples_per_second": 17.412,
      "eval_sensitivity": 0.7932523195953074,
      "eval_specificity": 0.9453588277490038,
      "eval_steps_per_second": 0.178,
      "step": 19
    },
    {
      "epoch": 1.04,
      "learning_rate": 9.941520467836257e-05,
      "loss": 0.5166,
      "step": 20
    },
    {
      "epoch": 1.56,
      "learning_rate": 9.35672514619883e-05,
      "loss": 0.3873,
      "step": 30
    },
    {
      "epoch": 1.97,
      "eval_accuracy": 0.9194815396700707,
      "eval_f1_score": 0.9195133285593289,
      "eval_loss": 0.2399476319551468,
      "eval_precision": 0.9207354859566335,
      "eval_runtime": 144.8868,
      "eval_samples_per_second": 17.572,
      "eval_sensitivity": 0.9224010058617415,
      "eval_specificity": 0.9795820629907557,
      "eval_steps_per_second": 0.179,
      "step": 38
    },
    {
      "epoch": 2.08,
      "learning_rate": 8.771929824561403e-05,
      "loss": 0.2081,
      "step": 40
    },
    {
      "epoch": 2.6,
      "learning_rate": 8.187134502923976e-05,
      "loss": 0.1287,
      "step": 50
    },
    {
      "epoch": 2.96,
      "eval_accuracy": 0.9230164964650432,
      "eval_f1_score": 0.9237322008294989,
      "eval_loss": 0.2204485386610031,
      "eval_precision": 0.9275162857915433,
      "eval_runtime": 145.1279,
      "eval_samples_per_second": 17.543,
      "eval_sensitivity": 0.9260761809503201,
      "eval_specificity": 0.9805597486231199,
      "eval_steps_per_second": 0.179,
      "step": 57
    },
    {
      "epoch": 3.12,
      "learning_rate": 7.602339181286549e-05,
      "loss": 0.1161,
      "step": 60
    },
    {
      "epoch": 3.64,
      "learning_rate": 7.017543859649122e-05,
      "loss": 0.0882,
      "step": 70
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9646504320502749,
      "eval_f1_score": 0.9648765751003812,
      "eval_loss": 0.1025659367442131,
      "eval_precision": 0.9646738082490537,
      "eval_runtime": 143.5679,
      "eval_samples_per_second": 17.734,
      "eval_sensitivity": 0.9655726163463161,
      "eval_specificity": 0.9910974852471778,
      "eval_steps_per_second": 0.181,
      "step": 77
    },
    {
      "epoch": 4.16,
      "learning_rate": 6.432748538011695e-05,
      "loss": 0.0561,
      "step": 80
    },
    {
      "epoch": 4.68,
      "learning_rate": 5.847953216374269e-05,
      "loss": 0.0605,
      "step": 90
    },
    {
      "epoch": 4.99,
      "eval_accuracy": 0.9677926158680282,
      "eval_f1_score": 0.9682725979526059,
      "eval_loss": 0.08982979506254196,
      "eval_precision": 0.9686373829386672,
      "eval_runtime": 148.6036,
      "eval_samples_per_second": 17.133,
      "eval_sensitivity": 0.9684848146152092,
      "eval_specificity": 0.9918928127553628,
      "eval_steps_per_second": 0.175,
      "step": 96
    },
    {
      "epoch": 5.19,
      "learning_rate": 5.2631578947368424e-05,
      "loss": 0.0487,
      "step": 100
    },
    {
      "epoch": 5.71,
      "learning_rate": 4.678362573099415e-05,
      "loss": 0.0439,
      "step": 110
    },
    {
      "epoch": 5.97,
      "eval_accuracy": 0.974076983503535,
      "eval_f1_score": 0.9745619951697394,
      "eval_loss": 0.08527717739343643,
      "eval_precision": 0.9747631628189343,
      "eval_runtime": 142.5282,
      "eval_samples_per_second": 17.863,
      "eval_sensitivity": 0.9746602565982567,
      "eval_specificity": 0.9934821935795711,
      "eval_steps_per_second": 0.182,
      "step": 115
    },
    {
      "epoch": 6.23,
      "learning_rate": 4.093567251461988e-05,
      "loss": 0.0317,
      "step": 120
    },
    {
      "epoch": 6.75,
      "learning_rate": 3.508771929824561e-05,
      "loss": 0.0275,
      "step": 130
    },
    {
      "epoch": 6.96,
      "eval_accuracy": 0.9721131186174391,
      "eval_f1_score": 0.9724497724609236,
      "eval_loss": 0.09406856447458267,
      "eval_precision": 0.9729876317187272,
      "eval_runtime": 141.8019,
      "eval_samples_per_second": 17.955,
      "eval_sensitivity": 0.9729653702912193,
      "eval_specificity": 0.9930118176374495,
      "eval_steps_per_second": 0.183,
      "step": 134
    },
    {
      "epoch": 7.27,
      "learning_rate": 2.9239766081871346e-05,
      "loss": 0.0224,
      "step": 140
    },
    {
      "epoch": 7.79,
      "learning_rate": 2.3391812865497074e-05,
      "loss": 0.0186,
      "step": 150
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.97643362136685,
      "eval_f1_score": 0.9767366753795161,
      "eval_loss": 0.0802975744009018,
      "eval_precision": 0.9769588107784279,
      "eval_runtime": 142.3373,
      "eval_samples_per_second": 17.887,
      "eval_sensitivity": 0.9772534433366771,
      "eval_specificity": 0.9940945408662207,
      "eval_steps_per_second": 0.183,
      "step": 154
    },
    {
      "epoch": 8.31,
      "learning_rate": 1.7543859649122806e-05,
      "loss": 0.0152,
      "step": 160
    },
    {
      "epoch": 8.83,
      "learning_rate": 1.1695906432748537e-05,
      "loss": 0.0165,
      "step": 170
    },
    {
      "epoch": 8.99,
      "eval_accuracy": 0.9780047132757266,
      "eval_f1_score": 0.9782269610198724,
      "eval_loss": 0.074019655585289,
      "eval_precision": 0.9782075890511516,
      "eval_runtime": 150.4918,
      "eval_samples_per_second": 16.918,
      "eval_sensitivity": 0.9786060209473786,
      "eval_specificity": 0.9944813681515456,
      "eval_steps_per_second": 0.173,
      "step": 173
    },
    {
      "epoch": 9.35,
      "learning_rate": 5.8479532163742686e-06,
      "loss": 0.0158,
      "step": 180
    },
    {
      "epoch": 9.87,
      "learning_rate": 0.0,
      "loss": 0.0106,
      "step": 190
    },
    {
      "epoch": 9.87,
      "eval_accuracy": 0.9783974862529458,
      "eval_f1_score": 0.9786255410321917,
      "eval_loss": 0.07959213107824326,
      "eval_precision": 0.9787264477445259,
      "eval_runtime": 142.7432,
      "eval_samples_per_second": 17.836,
      "eval_sensitivity": 0.9790260008229075,
      "eval_specificity": 0.9945852093084053,
      "eval_steps_per_second": 0.182,
      "step": 190
    },
    {
      "epoch": 9.87,
      "step": 190,
      "total_flos": 5.909979961466413e+18,
      "train_loss": 0.16000336824279082,
      "train_runtime": 19085.8389,
      "train_samples_per_second": 4.001,
      "train_steps_per_second": 0.01
    }
  ],
  "max_steps": 190,
  "num_train_epochs": 10,
  "total_flos": 5.909979961466413e+18,
  "trial_name": null,
  "trial_params": null
}