End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9753602975360297,
|
4 |
+
"eval_loss": 0.07140230387449265,
|
5 |
+
"eval_runtime": 36.6123,
|
6 |
+
"eval_samples_per_second": 58.751,
|
7 |
+
"eval_steps_per_second": 1.857,
|
8 |
+
"total_flos": 4.4917456860202107e+18,
|
9 |
+
"train_loss": 0.10242866058618028,
|
10 |
+
"train_runtime": 2277.1585,
|
11 |
+
"train_samples_per_second": 25.492,
|
12 |
+
"train_steps_per_second": 0.199
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9753602975360297,
|
4 |
+
"eval_loss": 0.07140230387449265,
|
5 |
+
"eval_runtime": 36.6123,
|
6 |
+
"eval_samples_per_second": 58.751,
|
7 |
+
"eval_steps_per_second": 1.857
|
8 |
+
}
|
runs/Jul25_10-54-59_628a4864d230/events.out.tfevents.1690284864.628a4864d230.1652.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05e27ab569f6910e61eb4b0a5a16aba4127584c3391b7fa99be7a3e6b1581175
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 4.4917456860202107e+18,
|
4 |
+
"train_loss": 0.10242866058618028,
|
5 |
+
"train_runtime": 2277.1585,
|
6 |
+
"train_samples_per_second": 25.492,
|
7 |
+
"train_steps_per_second": 0.199
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,322 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9753602975360297,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-blur_vs_clean/checkpoint-453",
|
4 |
+
"epoch": 2.9950413223140497,
|
5 |
+
"global_step": 453,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.07,
|
12 |
+
"learning_rate": 1.0869565217391305e-05,
|
13 |
+
"loss": 0.7653,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.13,
|
18 |
+
"learning_rate": 2.173913043478261e-05,
|
19 |
+
"loss": 0.6297,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.2,
|
24 |
+
"learning_rate": 3.260869565217392e-05,
|
25 |
+
"loss": 0.4462,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.26,
|
30 |
+
"learning_rate": 4.347826086956522e-05,
|
31 |
+
"loss": 0.2414,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.33,
|
36 |
+
"learning_rate": 4.950859950859951e-05,
|
37 |
+
"loss": 0.1249,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.4,
|
42 |
+
"learning_rate": 4.8280098280098285e-05,
|
43 |
+
"loss": 0.1293,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.46,
|
48 |
+
"learning_rate": 4.705159705159705e-05,
|
49 |
+
"loss": 0.1083,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.53,
|
54 |
+
"learning_rate": 4.582309582309582e-05,
|
55 |
+
"loss": 0.0917,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.6,
|
60 |
+
"learning_rate": 4.4594594594594596e-05,
|
61 |
+
"loss": 0.1057,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.66,
|
66 |
+
"learning_rate": 4.336609336609337e-05,
|
67 |
+
"loss": 0.0803,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.73,
|
72 |
+
"learning_rate": 4.213759213759214e-05,
|
73 |
+
"loss": 0.0666,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.79,
|
78 |
+
"learning_rate": 4.0909090909090915e-05,
|
79 |
+
"loss": 0.0832,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.86,
|
84 |
+
"learning_rate": 3.968058968058968e-05,
|
85 |
+
"loss": 0.0867,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.93,
|
90 |
+
"learning_rate": 3.845208845208845e-05,
|
91 |
+
"loss": 0.0812,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.99,
|
96 |
+
"learning_rate": 3.7223587223587226e-05,
|
97 |
+
"loss": 0.0539,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.0,
|
102 |
+
"eval_accuracy": 0.9595536959553695,
|
103 |
+
"eval_loss": 0.10777629911899567,
|
104 |
+
"eval_runtime": 34.5907,
|
105 |
+
"eval_samples_per_second": 62.184,
|
106 |
+
"eval_steps_per_second": 1.966,
|
107 |
+
"step": 151
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.06,
|
111 |
+
"learning_rate": 3.5995085995085995e-05,
|
112 |
+
"loss": 0.0753,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.12,
|
117 |
+
"learning_rate": 3.476658476658477e-05,
|
118 |
+
"loss": 0.0619,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.19,
|
123 |
+
"learning_rate": 3.3538083538083545e-05,
|
124 |
+
"loss": 0.0605,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.26,
|
129 |
+
"learning_rate": 3.2309582309582306e-05,
|
130 |
+
"loss": 0.0473,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.32,
|
135 |
+
"learning_rate": 3.108108108108108e-05,
|
136 |
+
"loss": 0.0672,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.39,
|
141 |
+
"learning_rate": 2.9852579852579853e-05,
|
142 |
+
"loss": 0.0626,
|
143 |
+
"step": 210
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.45,
|
147 |
+
"learning_rate": 2.8624078624078625e-05,
|
148 |
+
"loss": 0.0704,
|
149 |
+
"step": 220
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.52,
|
153 |
+
"learning_rate": 2.73955773955774e-05,
|
154 |
+
"loss": 0.0517,
|
155 |
+
"step": 230
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.59,
|
159 |
+
"learning_rate": 2.616707616707617e-05,
|
160 |
+
"loss": 0.0494,
|
161 |
+
"step": 240
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.65,
|
165 |
+
"learning_rate": 2.493857493857494e-05,
|
166 |
+
"loss": 0.0603,
|
167 |
+
"step": 250
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.72,
|
171 |
+
"learning_rate": 2.371007371007371e-05,
|
172 |
+
"loss": 0.0678,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.79,
|
177 |
+
"learning_rate": 2.2481572481572483e-05,
|
178 |
+
"loss": 0.0506,
|
179 |
+
"step": 270
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.85,
|
183 |
+
"learning_rate": 2.1253071253071255e-05,
|
184 |
+
"loss": 0.0556,
|
185 |
+
"step": 280
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.92,
|
189 |
+
"learning_rate": 2.0024570024570026e-05,
|
190 |
+
"loss": 0.0687,
|
191 |
+
"step": 290
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.98,
|
195 |
+
"learning_rate": 1.8796068796068798e-05,
|
196 |
+
"loss": 0.0611,
|
197 |
+
"step": 300
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 2.0,
|
201 |
+
"eval_accuracy": 0.9697814969781497,
|
202 |
+
"eval_loss": 0.08457668125629425,
|
203 |
+
"eval_runtime": 33.7533,
|
204 |
+
"eval_samples_per_second": 63.727,
|
205 |
+
"eval_steps_per_second": 2.015,
|
206 |
+
"step": 302
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 2.05,
|
210 |
+
"learning_rate": 1.756756756756757e-05,
|
211 |
+
"loss": 0.0444,
|
212 |
+
"step": 310
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.12,
|
216 |
+
"learning_rate": 1.6339066339066338e-05,
|
217 |
+
"loss": 0.0417,
|
218 |
+
"step": 320
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.18,
|
222 |
+
"learning_rate": 1.5110565110565111e-05,
|
223 |
+
"loss": 0.0496,
|
224 |
+
"step": 330
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.25,
|
228 |
+
"learning_rate": 1.3882063882063885e-05,
|
229 |
+
"loss": 0.045,
|
230 |
+
"step": 340
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.31,
|
234 |
+
"learning_rate": 1.2653562653562653e-05,
|
235 |
+
"loss": 0.0496,
|
236 |
+
"step": 350
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 2.38,
|
240 |
+
"learning_rate": 1.1425061425061426e-05,
|
241 |
+
"loss": 0.0481,
|
242 |
+
"step": 360
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 2.45,
|
246 |
+
"learning_rate": 1.0196560196560196e-05,
|
247 |
+
"loss": 0.0329,
|
248 |
+
"step": 370
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.51,
|
252 |
+
"learning_rate": 8.96805896805897e-06,
|
253 |
+
"loss": 0.0424,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.58,
|
258 |
+
"learning_rate": 7.73955773955774e-06,
|
259 |
+
"loss": 0.0274,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.64,
|
264 |
+
"learning_rate": 6.511056511056511e-06,
|
265 |
+
"loss": 0.0394,
|
266 |
+
"step": 400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.71,
|
270 |
+
"learning_rate": 5.282555282555283e-06,
|
271 |
+
"loss": 0.0522,
|
272 |
+
"step": 410
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.78,
|
276 |
+
"learning_rate": 4.0540540540540545e-06,
|
277 |
+
"loss": 0.0331,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.84,
|
282 |
+
"learning_rate": 2.8255528255528258e-06,
|
283 |
+
"loss": 0.0275,
|
284 |
+
"step": 430
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.91,
|
288 |
+
"learning_rate": 1.5970515970515972e-06,
|
289 |
+
"loss": 0.0374,
|
290 |
+
"step": 440
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.98,
|
294 |
+
"learning_rate": 3.6855036855036856e-07,
|
295 |
+
"loss": 0.049,
|
296 |
+
"step": 450
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 3.0,
|
300 |
+
"eval_accuracy": 0.9753602975360297,
|
301 |
+
"eval_loss": 0.07140230387449265,
|
302 |
+
"eval_runtime": 35.4449,
|
303 |
+
"eval_samples_per_second": 60.686,
|
304 |
+
"eval_steps_per_second": 1.918,
|
305 |
+
"step": 453
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 3.0,
|
309 |
+
"step": 453,
|
310 |
+
"total_flos": 4.4917456860202107e+18,
|
311 |
+
"train_loss": 0.10242866058618028,
|
312 |
+
"train_runtime": 2277.1585,
|
313 |
+
"train_samples_per_second": 25.492,
|
314 |
+
"train_steps_per_second": 0.199
|
315 |
+
}
|
316 |
+
],
|
317 |
+
"max_steps": 453,
|
318 |
+
"num_train_epochs": 3,
|
319 |
+
"total_flos": 4.4917456860202107e+18,
|
320 |
+
"trial_name": null,
|
321 |
+
"trial_params": null
|
322 |
+
}
|