amjadfqs commited on
Commit
aff94b6
1 Parent(s): 5cc4448

Model save

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.87,
3
+ "total_flos": 5.909979961466413e+18,
4
+ "train_loss": 0.2693378947283092,
5
+ "train_runtime": 19015.6271,
6
+ "train_samples_per_second": 4.016,
7
+ "train_steps_per_second": 0.01
8
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4812d8e0633d8705be09f88b121b16b0330fbaf9cf5c650b98c8f51a0489b58e
3
  size 347601681
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d88672e77fc9e6d06620f44a3e2742ce47430d93a70a47aee2cc239ddc0d79e
3
  size 347601681
runs/May28_14-54-44_project/events.out.tfevents.1685285711.project.172733.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dd6be5495adf234c093fe8e4d7fbfe4730172823d16b59fbe8c6a42a976d8cb7
3
- size 12897
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:13f52610d02da9f149938f46308ce76673847516dd203eecf65d9a9bf97023c4
3
+ size 13251
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.87,
3
+ "total_flos": 5.909979961466413e+18,
4
+ "train_loss": 0.2693378947283092,
5
+ "train_runtime": 19015.6271,
6
+ "train_samples_per_second": 4.016,
7
+ "train_steps_per_second": 0.01
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,269 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8605655930871956,
3
+ "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_11/checkpoint-96",
4
+ "epoch": 9.87012987012987,
5
+ "global_step": 190,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.52,
12
+ "learning_rate": 0.0005263157894736842,
13
+ "loss": 1.2738,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.99,
18
+ "eval_accuracy": 0.3605655930871956,
19
+ "eval_f1_score": 0.2878120760544522,
20
+ "eval_loss": 3.6805028915405273,
21
+ "eval_precision": 0.6974014336917563,
22
+ "eval_runtime": 145.8752,
23
+ "eval_samples_per_second": 17.453,
24
+ "eval_sensitivity": 0.35686207037891016,
25
+ "eval_specificity": 0.8381290831748818,
26
+ "eval_steps_per_second": 0.178,
27
+ "step": 19
28
+ },
29
+ {
30
+ "epoch": 1.04,
31
+ "learning_rate": 0.0009941520467836257,
32
+ "loss": 0.9199,
33
+ "step": 20
34
+ },
35
+ {
36
+ "epoch": 1.56,
37
+ "learning_rate": 0.000935672514619883,
38
+ "loss": 0.8184,
39
+ "step": 30
40
+ },
41
+ {
42
+ "epoch": 1.97,
43
+ "eval_accuracy": 0.5196386488609583,
44
+ "eval_f1_score": 0.48419321422424316,
45
+ "eval_loss": 2.2141478061676025,
46
+ "eval_precision": 0.8084805071896239,
47
+ "eval_runtime": 143.7897,
48
+ "eval_samples_per_second": 17.706,
49
+ "eval_sensitivity": 0.5310745609579017,
50
+ "eval_specificity": 0.8793499818649668,
51
+ "eval_steps_per_second": 0.181,
52
+ "step": 38
53
+ },
54
+ {
55
+ "epoch": 2.08,
56
+ "learning_rate": 0.0008771929824561404,
57
+ "loss": 0.3378,
58
+ "step": 40
59
+ },
60
+ {
61
+ "epoch": 2.6,
62
+ "learning_rate": 0.0008187134502923977,
63
+ "loss": 0.3966,
64
+ "step": 50
65
+ },
66
+ {
67
+ "epoch": 2.96,
68
+ "eval_accuracy": 0.8008641005498822,
69
+ "eval_f1_score": 0.7976254105368799,
70
+ "eval_loss": 0.6808411478996277,
71
+ "eval_precision": 0.8463324408375659,
72
+ "eval_runtime": 145.0768,
73
+ "eval_samples_per_second": 17.549,
74
+ "eval_sensitivity": 0.8028516850378219,
75
+ "eval_specificity": 0.9490601966554548,
76
+ "eval_steps_per_second": 0.179,
77
+ "step": 57
78
+ },
79
+ {
80
+ "epoch": 3.12,
81
+ "learning_rate": 0.0007602339181286549,
82
+ "loss": 0.2088,
83
+ "step": 60
84
+ },
85
+ {
86
+ "epoch": 3.64,
87
+ "learning_rate": 0.0007017543859649122,
88
+ "loss": 0.2336,
89
+ "step": 70
90
+ },
91
+ {
92
+ "epoch": 4.0,
93
+ "eval_accuracy": 0.7945797329143754,
94
+ "eval_f1_score": 0.8010782370930126,
95
+ "eval_loss": 0.5913988947868347,
96
+ "eval_precision": 0.8170231877099705,
97
+ "eval_runtime": 143.2938,
98
+ "eval_samples_per_second": 17.768,
99
+ "eval_sensitivity": 0.7978279035240907,
100
+ "eval_specificity": 0.9460506294613161,
101
+ "eval_steps_per_second": 0.181,
102
+ "step": 77
103
+ },
104
+ {
105
+ "epoch": 4.16,
106
+ "learning_rate": 0.0006432748538011695,
107
+ "loss": 0.1887,
108
+ "step": 80
109
+ },
110
+ {
111
+ "epoch": 4.68,
112
+ "learning_rate": 0.0005847953216374269,
113
+ "loss": 0.1196,
114
+ "step": 90
115
+ },
116
+ {
117
+ "epoch": 4.99,
118
+ "eval_accuracy": 0.8605655930871956,
119
+ "eval_f1_score": 0.860571684525386,
120
+ "eval_loss": 0.4851493239402771,
121
+ "eval_precision": 0.8779184919829779,
122
+ "eval_runtime": 148.4094,
123
+ "eval_samples_per_second": 17.155,
124
+ "eval_sensitivity": 0.8644996698700784,
125
+ "eval_specificity": 0.964375163934619,
126
+ "eval_steps_per_second": 0.175,
127
+ "step": 96
128
+ },
129
+ {
130
+ "epoch": 5.19,
131
+ "learning_rate": 0.0005263157894736842,
132
+ "loss": 0.1029,
133
+ "step": 100
134
+ },
135
+ {
136
+ "epoch": 5.71,
137
+ "learning_rate": 0.0004678362573099415,
138
+ "loss": 0.1003,
139
+ "step": 110
140
+ },
141
+ {
142
+ "epoch": 5.97,
143
+ "eval_accuracy": 0.8413197172034564,
144
+ "eval_f1_score": 0.847505946157961,
145
+ "eval_loss": 0.5353347659111023,
146
+ "eval_precision": 0.8716205753374235,
147
+ "eval_runtime": 144.5966,
148
+ "eval_samples_per_second": 17.608,
149
+ "eval_sensitivity": 0.8442495649729828,
150
+ "eval_specificity": 0.9593485741891146,
151
+ "eval_steps_per_second": 0.18,
152
+ "step": 115
153
+ },
154
+ {
155
+ "epoch": 6.23,
156
+ "learning_rate": 0.00040935672514619883,
157
+ "loss": 0.0756,
158
+ "step": 120
159
+ },
160
+ {
161
+ "epoch": 6.75,
162
+ "learning_rate": 0.0003508771929824561,
163
+ "loss": 0.0876,
164
+ "step": 130
165
+ },
166
+ {
167
+ "epoch": 6.96,
168
+ "eval_accuracy": 0.8032207384131972,
169
+ "eval_f1_score": 0.815103775194211,
170
+ "eval_loss": 0.6691173315048218,
171
+ "eval_precision": 0.8765709834552656,
172
+ "eval_runtime": 145.6989,
173
+ "eval_samples_per_second": 17.474,
174
+ "eval_sensitivity": 0.8050530606233461,
175
+ "eval_specificity": 0.9503200126073728,
176
+ "eval_steps_per_second": 0.178,
177
+ "step": 134
178
+ },
179
+ {
180
+ "epoch": 7.27,
181
+ "learning_rate": 0.00029239766081871346,
182
+ "loss": 0.0454,
183
+ "step": 140
184
+ },
185
+ {
186
+ "epoch": 7.79,
187
+ "learning_rate": 0.00023391812865497074,
188
+ "loss": 0.0569,
189
+ "step": 150
190
+ },
191
+ {
192
+ "epoch": 8.0,
193
+ "eval_accuracy": 0.8570306362922231,
194
+ "eval_f1_score": 0.8610031913382027,
195
+ "eval_loss": 0.4530697762966156,
196
+ "eval_precision": 0.8775565915946316,
197
+ "eval_runtime": 144.0104,
198
+ "eval_samples_per_second": 17.679,
199
+ "eval_sensitivity": 0.8613897087049174,
200
+ "eval_specificity": 0.963431312241978,
201
+ "eval_steps_per_second": 0.181,
202
+ "step": 154
203
+ },
204
+ {
205
+ "epoch": 8.31,
206
+ "learning_rate": 0.00017543859649122806,
207
+ "loss": 0.0524,
208
+ "step": 160
209
+ },
210
+ {
211
+ "epoch": 8.83,
212
+ "learning_rate": 0.00011695906432748537,
213
+ "loss": 0.0329,
214
+ "step": 170
215
+ },
216
+ {
217
+ "epoch": 8.99,
218
+ "eval_accuracy": 0.7977219167321288,
219
+ "eval_f1_score": 0.8081175377109597,
220
+ "eval_loss": 0.8580703735351562,
221
+ "eval_precision": 0.8692144353715325,
222
+ "eval_runtime": 144.2222,
223
+ "eval_samples_per_second": 17.653,
224
+ "eval_sensitivity": 0.8022743869652864,
225
+ "eval_specificity": 0.9488235279456919,
226
+ "eval_steps_per_second": 0.18,
227
+ "step": 173
228
+ },
229
+ {
230
+ "epoch": 9.35,
231
+ "learning_rate": 5.8479532163742686e-05,
232
+ "loss": 0.0401,
233
+ "step": 180
234
+ },
235
+ {
236
+ "epoch": 9.87,
237
+ "learning_rate": 0.0,
238
+ "loss": 0.0262,
239
+ "step": 190
240
+ },
241
+ {
242
+ "epoch": 9.87,
243
+ "eval_accuracy": 0.8566378633150039,
244
+ "eval_f1_score": 0.862624548745769,
245
+ "eval_loss": 0.5326746702194214,
246
+ "eval_precision": 0.8916086530475995,
247
+ "eval_runtime": 142.1789,
248
+ "eval_samples_per_second": 17.907,
249
+ "eval_sensitivity": 0.8581894341524791,
250
+ "eval_specificity": 0.9636117700670255,
251
+ "eval_steps_per_second": 0.183,
252
+ "step": 190
253
+ },
254
+ {
255
+ "epoch": 9.87,
256
+ "step": 190,
257
+ "total_flos": 5.909979961466413e+18,
258
+ "train_loss": 0.2693378947283092,
259
+ "train_runtime": 19015.6271,
260
+ "train_samples_per_second": 4.016,
261
+ "train_steps_per_second": 0.01
262
+ }
263
+ ],
264
+ "max_steps": 190,
265
+ "num_train_epochs": 10,
266
+ "total_flos": 5.909979961466413e+18,
267
+ "trial_name": null,
268
+ "trial_params": null
269
+ }