amjadfqs commited on
Commit
c00dba1
1 Parent(s): aed0516

Model save

Browse files
all_results.json ADDED
@@ -0,0 +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
+ }
runs/May24_20-40-57_project/events.out.tfevents.1684960883.project.76576.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:90d523973de3d85f0f983e0b4eedcb23ebc664011dd8d7d261803914e282d52b
3
- size 10843
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a4b63cbd7be077d46351feca98fd92d6e770d3e4719bcd122eef20cfd6ed096b
3
+ size 11197
train_results.json ADDED
@@ -0,0 +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
+ }
trainer_state.json ADDED
@@ -0,0 +1,213 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
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
+ {
45
+ "epoch": 2.26,
46
+ "learning_rate": 4.2735042735042735e-05,
47
+ "loss": 0.3122,
48
+ "step": 30
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
+ ],
208
+ "max_steps": 130,
209
+ "num_train_epochs": 10,
210
+ "total_flos": 4.0507959904511017e+18,
211
+ "trial_name": null,
212
+ "trial_params": null
213
+ }