AykeeSalazar commited on
Commit
1a2c9af
1 Parent(s): 7b08026

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 80.0,
3
+ "eval_accuracy": 0.9559725730783111,
4
+ "eval_loss": 0.19736222922801971,
5
+ "eval_runtime": 64.1732,
6
+ "eval_samples_per_second": 86.36,
7
+ "eval_steps_per_second": 2.711,
8
+ "total_flos": 8.01589959270506e+19,
9
+ "train_loss": 0.12853888580114534,
10
+ "train_runtime": 24615.3911,
11
+ "train_samples_per_second": 42.022,
12
+ "train_steps_per_second": 0.328
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 80.0,
3
+ "eval_accuracy": 0.9559725730783111,
4
+ "eval_loss": 0.19736222922801971,
5
+ "eval_runtime": 64.1732,
6
+ "eval_samples_per_second": 86.36,
7
+ "eval_steps_per_second": 2.711
8
+ }
runs/Apr03_16-48-58_271b37cd814f/events.out.tfevents.1649029544.271b37cd814f.97.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:663ec072a9db5fa6d487389fe88bf81fe2b4f4b1ef189b585595e55bcb15dda8
3
+ size 363
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 80.0,
3
+ "total_flos": 8.01589959270506e+19,
4
+ "train_loss": 0.12853888580114534,
5
+ "train_runtime": 24615.3911,
6
+ "train_samples_per_second": 42.022,
7
+ "train_steps_per_second": 0.328
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9559725730783111,
3
+ "best_model_checkpoint": "violation-classification-bantai-vit-v80ep/checkpoint-8000",
4
+ "epoch": 79.99753086419753,
5
+ "global_step": 8080,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 4.95,
12
+ "learning_rate": 3.094059405940594e-05,
13
+ "loss": 0.797,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 4.95,
18
+ "eval_accuracy": 0.8715265247203176,
19
+ "eval_loss": 0.392585426568985,
20
+ "eval_runtime": 63.7974,
21
+ "eval_samples_per_second": 86.869,
22
+ "eval_steps_per_second": 2.727,
23
+ "step": 500
24
+ },
25
+ {
26
+ "epoch": 9.9,
27
+ "learning_rate": 4.867986798679868e-05,
28
+ "loss": 0.3095,
29
+ "step": 1000
30
+ },
31
+ {
32
+ "epoch": 9.9,
33
+ "eval_accuracy": 0.9106820642367376,
34
+ "eval_loss": 0.2596624493598938,
35
+ "eval_runtime": 63.8682,
36
+ "eval_samples_per_second": 86.772,
37
+ "eval_steps_per_second": 2.724,
38
+ "step": 1000
39
+ },
40
+ {
41
+ "epoch": 14.85,
42
+ "learning_rate": 4.5242024202420245e-05,
43
+ "loss": 0.1726,
44
+ "step": 1500
45
+ },
46
+ {
47
+ "epoch": 14.85,
48
+ "eval_accuracy": 0.9252977264525442,
49
+ "eval_loss": 0.2156512439250946,
50
+ "eval_runtime": 63.7151,
51
+ "eval_samples_per_second": 86.981,
52
+ "eval_steps_per_second": 2.731,
53
+ "step": 1500
54
+ },
55
+ {
56
+ "epoch": 19.8,
57
+ "learning_rate": 4.18041804180418e-05,
58
+ "loss": 0.1259,
59
+ "step": 2000
60
+ },
61
+ {
62
+ "epoch": 19.8,
63
+ "eval_accuracy": 0.939191627571274,
64
+ "eval_loss": 0.1869734823703766,
65
+ "eval_runtime": 63.965,
66
+ "eval_samples_per_second": 86.641,
67
+ "eval_steps_per_second": 2.72,
68
+ "step": 2000
69
+ },
70
+ {
71
+ "epoch": 24.75,
72
+ "learning_rate": 3.8366336633663367e-05,
73
+ "loss": 0.0959,
74
+ "step": 2500
75
+ },
76
+ {
77
+ "epoch": 24.75,
78
+ "eval_accuracy": 0.9444243955250812,
79
+ "eval_loss": 0.17974421381950378,
80
+ "eval_runtime": 63.8189,
81
+ "eval_samples_per_second": 86.84,
82
+ "eval_steps_per_second": 2.726,
83
+ "step": 2500
84
+ },
85
+ {
86
+ "epoch": 29.7,
87
+ "learning_rate": 3.492849284928493e-05,
88
+ "loss": 0.0835,
89
+ "step": 3000
90
+ },
91
+ {
92
+ "epoch": 29.7,
93
+ "eval_accuracy": 0.9354023818116204,
94
+ "eval_loss": 0.22931958734989166,
95
+ "eval_runtime": 63.8202,
96
+ "eval_samples_per_second": 86.838,
97
+ "eval_steps_per_second": 2.726,
98
+ "step": 3000
99
+ },
100
+ {
101
+ "epoch": 34.65,
102
+ "learning_rate": 3.149064906490649e-05,
103
+ "loss": 0.0722,
104
+ "step": 3500
105
+ },
106
+ {
107
+ "epoch": 34.65,
108
+ "eval_accuracy": 0.9440635149765427,
109
+ "eval_loss": 0.19207924604415894,
110
+ "eval_runtime": 63.813,
111
+ "eval_samples_per_second": 86.848,
112
+ "eval_steps_per_second": 2.727,
113
+ "step": 3500
114
+ },
115
+ {
116
+ "epoch": 39.6,
117
+ "learning_rate": 2.8052805280528056e-05,
118
+ "loss": 0.0628,
119
+ "step": 4000
120
+ },
121
+ {
122
+ "epoch": 39.6,
123
+ "eval_accuracy": 0.9491158426560808,
124
+ "eval_loss": 0.18968293070793152,
125
+ "eval_runtime": 63.6858,
126
+ "eval_samples_per_second": 87.021,
127
+ "eval_steps_per_second": 2.732,
128
+ "step": 4000
129
+ },
130
+ {
131
+ "epoch": 44.55,
132
+ "learning_rate": 2.4614961496149617e-05,
133
+ "loss": 0.059,
134
+ "step": 4500
135
+ },
136
+ {
137
+ "epoch": 44.55,
138
+ "eval_accuracy": 0.9520028870443883,
139
+ "eval_loss": 0.1719067543745041,
140
+ "eval_runtime": 63.8275,
141
+ "eval_samples_per_second": 86.828,
142
+ "eval_steps_per_second": 2.726,
143
+ "step": 4500
144
+ },
145
+ {
146
+ "epoch": 49.5,
147
+ "learning_rate": 2.1177117711771178e-05,
148
+ "loss": 0.0531,
149
+ "step": 5000
150
+ },
151
+ {
152
+ "epoch": 49.5,
153
+ "eval_accuracy": 0.9512811259473114,
154
+ "eval_loss": 0.19867293536663055,
155
+ "eval_runtime": 63.7873,
156
+ "eval_samples_per_second": 86.882,
157
+ "eval_steps_per_second": 2.728,
158
+ "step": 5000
159
+ },
160
+ {
161
+ "epoch": 54.45,
162
+ "learning_rate": 1.7739273927392743e-05,
163
+ "loss": 0.046,
164
+ "step": 5500
165
+ },
166
+ {
167
+ "epoch": 54.45,
168
+ "eval_accuracy": 0.9556116925297726,
169
+ "eval_loss": 0.17134784162044525,
170
+ "eval_runtime": 63.8123,
171
+ "eval_samples_per_second": 86.848,
172
+ "eval_steps_per_second": 2.727,
173
+ "step": 5500
174
+ },
175
+ {
176
+ "epoch": 59.4,
177
+ "learning_rate": 1.4301430143014302e-05,
178
+ "loss": 0.0444,
179
+ "step": 6000
180
+ },
181
+ {
182
+ "epoch": 59.4,
183
+ "eval_accuracy": 0.952544207867196,
184
+ "eval_loss": 0.2016247808933258,
185
+ "eval_runtime": 63.9341,
186
+ "eval_samples_per_second": 86.683,
187
+ "eval_steps_per_second": 2.722,
188
+ "step": 6000
189
+ },
190
+ {
191
+ "epoch": 64.36,
192
+ "learning_rate": 1.0863586358635865e-05,
193
+ "loss": 0.042,
194
+ "step": 6500
195
+ },
196
+ {
197
+ "epoch": 64.36,
198
+ "eval_accuracy": 0.952544207867196,
199
+ "eval_loss": 0.19500622153282166,
200
+ "eval_runtime": 63.6967,
201
+ "eval_samples_per_second": 87.006,
202
+ "eval_steps_per_second": 2.732,
203
+ "step": 6500
204
+ },
205
+ {
206
+ "epoch": 69.31,
207
+ "learning_rate": 7.4257425742574256e-06,
208
+ "loss": 0.0363,
209
+ "step": 7000
210
+ },
211
+ {
212
+ "epoch": 69.31,
213
+ "eval_accuracy": 0.9548899314326957,
214
+ "eval_loss": 0.20167508721351624,
215
+ "eval_runtime": 63.6587,
216
+ "eval_samples_per_second": 87.058,
217
+ "eval_steps_per_second": 2.733,
218
+ "step": 7000
219
+ },
220
+ {
221
+ "epoch": 74.26,
222
+ "learning_rate": 3.987898789878988e-06,
223
+ "loss": 0.037,
224
+ "step": 7500
225
+ },
226
+ {
227
+ "epoch": 74.26,
228
+ "eval_accuracy": 0.955070371706965,
229
+ "eval_loss": 0.1943303495645523,
230
+ "eval_runtime": 63.8065,
231
+ "eval_samples_per_second": 86.856,
232
+ "eval_steps_per_second": 2.727,
233
+ "step": 7500
234
+ },
235
+ {
236
+ "epoch": 79.21,
237
+ "learning_rate": 5.500550055005501e-07,
238
+ "loss": 0.0343,
239
+ "step": 8000
240
+ },
241
+ {
242
+ "epoch": 79.21,
243
+ "eval_accuracy": 0.9559725730783111,
244
+ "eval_loss": 0.19736222922801971,
245
+ "eval_runtime": 63.8534,
246
+ "eval_samples_per_second": 86.793,
247
+ "eval_steps_per_second": 2.725,
248
+ "step": 8000
249
+ },
250
+ {
251
+ "epoch": 80.0,
252
+ "step": 8080,
253
+ "total_flos": 8.01589959270506e+19,
254
+ "train_loss": 0.12853888580114534,
255
+ "train_runtime": 24615.3911,
256
+ "train_samples_per_second": 42.022,
257
+ "train_steps_per_second": 0.328
258
+ }
259
+ ],
260
+ "max_steps": 8080,
261
+ "num_train_epochs": 80,
262
+ "total_flos": 8.01589959270506e+19,
263
+ "trial_name": null,
264
+ "trial_params": null
265
+ }