End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9829629629629629,
|
4 |
+
"eval_loss": 0.05404135212302208,
|
5 |
+
"eval_runtime": 20.969,
|
6 |
+
"eval_samples_per_second": 128.761,
|
7 |
+
"eval_steps_per_second": 4.054,
|
8 |
+
"total_flos": 1.8124066505760768e+18,
|
9 |
+
"train_loss": 0.19761514681995962,
|
10 |
+
"train_runtime": 1782.2808,
|
11 |
+
"train_samples_per_second": 40.903,
|
12 |
+
"train_steps_per_second": 0.32
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9829629629629629,
|
4 |
+
"eval_loss": 0.05404135212302208,
|
5 |
+
"eval_runtime": 20.969,
|
6 |
+
"eval_samples_per_second": 128.761,
|
7 |
+
"eval_steps_per_second": 4.054
|
8 |
+
}
|
runs/Aug29_08-52-09_cc75a613d50e/events.out.tfevents.1661765112.cc75a613d50e.286.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00464252cb9f205f34eabc5cf05883b86940329a39000aca2c128232191dfb4d
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 1.8124066505760768e+18,
|
4 |
+
"train_loss": 0.19761514681995962,
|
5 |
+
"train_runtime": 1782.2808,
|
6 |
+
"train_samples_per_second": 40.903,
|
7 |
+
"train_steps_per_second": 0.32
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,394 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9829629629629629,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat-kornia/checkpoint-570",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 570,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.05,
|
12 |
+
"learning_rate": 8.771929824561403e-06,
|
13 |
+
"loss": 2.2821,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.11,
|
18 |
+
"learning_rate": 1.7543859649122806e-05,
|
19 |
+
"loss": 2.0817,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.16,
|
24 |
+
"learning_rate": 2.6315789473684212e-05,
|
25 |
+
"loss": 1.5479,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.21,
|
30 |
+
"learning_rate": 3.508771929824561e-05,
|
31 |
+
"loss": 0.8429,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.26,
|
36 |
+
"learning_rate": 4.3859649122807014e-05,
|
37 |
+
"loss": 0.4422,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.32,
|
42 |
+
"learning_rate": 4.970760233918128e-05,
|
43 |
+
"loss": 0.3354,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.37,
|
48 |
+
"learning_rate": 4.8732943469785574e-05,
|
49 |
+
"loss": 0.249,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.42,
|
54 |
+
"learning_rate": 4.7758284600389865e-05,
|
55 |
+
"loss": 0.2015,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.47,
|
60 |
+
"learning_rate": 4.678362573099415e-05,
|
61 |
+
"loss": 0.1684,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.53,
|
66 |
+
"learning_rate": 4.580896686159844e-05,
|
67 |
+
"loss": 0.1307,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.58,
|
72 |
+
"learning_rate": 4.483430799220273e-05,
|
73 |
+
"loss": 0.1544,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.63,
|
78 |
+
"learning_rate": 4.3859649122807014e-05,
|
79 |
+
"loss": 0.1504,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.68,
|
84 |
+
"learning_rate": 4.2884990253411305e-05,
|
85 |
+
"loss": 0.15,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.74,
|
90 |
+
"learning_rate": 4.1910331384015596e-05,
|
91 |
+
"loss": 0.112,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.79,
|
96 |
+
"learning_rate": 4.093567251461988e-05,
|
97 |
+
"loss": 0.1155,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.84,
|
102 |
+
"learning_rate": 3.996101364522417e-05,
|
103 |
+
"loss": 0.1182,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.89,
|
108 |
+
"learning_rate": 3.898635477582846e-05,
|
109 |
+
"loss": 0.0944,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.95,
|
114 |
+
"learning_rate": 3.8011695906432746e-05,
|
115 |
+
"loss": 0.0843,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.0,
|
120 |
+
"learning_rate": 3.7037037037037037e-05,
|
121 |
+
"loss": 0.0859,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.0,
|
126 |
+
"eval_accuracy": 0.9685185185185186,
|
127 |
+
"eval_loss": 0.09687485545873642,
|
128 |
+
"eval_runtime": 20.7234,
|
129 |
+
"eval_samples_per_second": 130.287,
|
130 |
+
"eval_steps_per_second": 4.102,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.05,
|
135 |
+
"learning_rate": 3.606237816764133e-05,
|
136 |
+
"loss": 0.0737,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.11,
|
141 |
+
"learning_rate": 3.508771929824561e-05,
|
142 |
+
"loss": 0.055,
|
143 |
+
"step": 210
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.16,
|
147 |
+
"learning_rate": 3.41130604288499e-05,
|
148 |
+
"loss": 0.0686,
|
149 |
+
"step": 220
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.21,
|
153 |
+
"learning_rate": 3.313840155945419e-05,
|
154 |
+
"loss": 0.0954,
|
155 |
+
"step": 230
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.26,
|
159 |
+
"learning_rate": 3.216374269005848e-05,
|
160 |
+
"loss": 0.0619,
|
161 |
+
"step": 240
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.32,
|
165 |
+
"learning_rate": 3.118908382066277e-05,
|
166 |
+
"loss": 0.0701,
|
167 |
+
"step": 250
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.37,
|
171 |
+
"learning_rate": 3.0214424951267055e-05,
|
172 |
+
"loss": 0.0682,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.42,
|
177 |
+
"learning_rate": 2.9239766081871346e-05,
|
178 |
+
"loss": 0.0592,
|
179 |
+
"step": 270
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.47,
|
183 |
+
"learning_rate": 2.8265107212475634e-05,
|
184 |
+
"loss": 0.065,
|
185 |
+
"step": 280
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.53,
|
189 |
+
"learning_rate": 2.729044834307992e-05,
|
190 |
+
"loss": 0.0959,
|
191 |
+
"step": 290
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.58,
|
195 |
+
"learning_rate": 2.6315789473684212e-05,
|
196 |
+
"loss": 0.0613,
|
197 |
+
"step": 300
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.63,
|
201 |
+
"learning_rate": 2.53411306042885e-05,
|
202 |
+
"loss": 0.0628,
|
203 |
+
"step": 310
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.68,
|
207 |
+
"learning_rate": 2.4366471734892787e-05,
|
208 |
+
"loss": 0.0565,
|
209 |
+
"step": 320
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.74,
|
213 |
+
"learning_rate": 2.3391812865497074e-05,
|
214 |
+
"loss": 0.0629,
|
215 |
+
"step": 330
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 1.79,
|
219 |
+
"learning_rate": 2.2417153996101365e-05,
|
220 |
+
"loss": 0.0674,
|
221 |
+
"step": 340
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.84,
|
225 |
+
"learning_rate": 2.1442495126705653e-05,
|
226 |
+
"loss": 0.0589,
|
227 |
+
"step": 350
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.89,
|
231 |
+
"learning_rate": 2.046783625730994e-05,
|
232 |
+
"loss": 0.0551,
|
233 |
+
"step": 360
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.95,
|
237 |
+
"learning_rate": 1.949317738791423e-05,
|
238 |
+
"loss": 0.0506,
|
239 |
+
"step": 370
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.0,
|
243 |
+
"learning_rate": 1.8518518518518518e-05,
|
244 |
+
"loss": 0.0664,
|
245 |
+
"step": 380
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.0,
|
249 |
+
"eval_accuracy": 0.9814814814814815,
|
250 |
+
"eval_loss": 0.06272529065608978,
|
251 |
+
"eval_runtime": 20.6321,
|
252 |
+
"eval_samples_per_second": 130.864,
|
253 |
+
"eval_steps_per_second": 4.12,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.05,
|
258 |
+
"learning_rate": 1.7543859649122806e-05,
|
259 |
+
"loss": 0.0306,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.11,
|
264 |
+
"learning_rate": 1.6569200779727097e-05,
|
265 |
+
"loss": 0.0482,
|
266 |
+
"step": 400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.16,
|
270 |
+
"learning_rate": 1.5594541910331384e-05,
|
271 |
+
"loss": 0.0343,
|
272 |
+
"step": 410
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.21,
|
276 |
+
"learning_rate": 1.4619883040935673e-05,
|
277 |
+
"loss": 0.0324,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.26,
|
282 |
+
"learning_rate": 1.364522417153996e-05,
|
283 |
+
"loss": 0.0428,
|
284 |
+
"step": 430
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.32,
|
288 |
+
"learning_rate": 1.267056530214425e-05,
|
289 |
+
"loss": 0.0473,
|
290 |
+
"step": 440
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.37,
|
294 |
+
"learning_rate": 1.1695906432748537e-05,
|
295 |
+
"loss": 0.0233,
|
296 |
+
"step": 450
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.42,
|
300 |
+
"learning_rate": 1.0721247563352826e-05,
|
301 |
+
"loss": 0.0448,
|
302 |
+
"step": 460
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 2.47,
|
306 |
+
"learning_rate": 9.746588693957115e-06,
|
307 |
+
"loss": 0.0388,
|
308 |
+
"step": 470
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 2.53,
|
312 |
+
"learning_rate": 8.771929824561403e-06,
|
313 |
+
"loss": 0.0352,
|
314 |
+
"step": 480
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.58,
|
318 |
+
"learning_rate": 7.797270955165692e-06,
|
319 |
+
"loss": 0.0202,
|
320 |
+
"step": 490
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 2.63,
|
324 |
+
"learning_rate": 6.82261208576998e-06,
|
325 |
+
"loss": 0.0209,
|
326 |
+
"step": 500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 2.68,
|
330 |
+
"learning_rate": 5.8479532163742686e-06,
|
331 |
+
"loss": 0.0299,
|
332 |
+
"step": 510
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 2.74,
|
336 |
+
"learning_rate": 4.873294346978558e-06,
|
337 |
+
"loss": 0.0409,
|
338 |
+
"step": 520
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.79,
|
342 |
+
"learning_rate": 3.898635477582846e-06,
|
343 |
+
"loss": 0.0328,
|
344 |
+
"step": 530
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 2.84,
|
348 |
+
"learning_rate": 2.9239766081871343e-06,
|
349 |
+
"loss": 0.0293,
|
350 |
+
"step": 540
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 2.89,
|
354 |
+
"learning_rate": 1.949317738791423e-06,
|
355 |
+
"loss": 0.0321,
|
356 |
+
"step": 550
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 2.95,
|
360 |
+
"learning_rate": 9.746588693957115e-07,
|
361 |
+
"loss": 0.0424,
|
362 |
+
"step": 560
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 3.0,
|
366 |
+
"learning_rate": 0.0,
|
367 |
+
"loss": 0.0359,
|
368 |
+
"step": 570
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 3.0,
|
372 |
+
"eval_accuracy": 0.9829629629629629,
|
373 |
+
"eval_loss": 0.05404135212302208,
|
374 |
+
"eval_runtime": 20.7468,
|
375 |
+
"eval_samples_per_second": 130.141,
|
376 |
+
"eval_steps_per_second": 4.097,
|
377 |
+
"step": 570
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.0,
|
381 |
+
"step": 570,
|
382 |
+
"total_flos": 1.8124066505760768e+18,
|
383 |
+
"train_loss": 0.19761514681995962,
|
384 |
+
"train_runtime": 1782.2808,
|
385 |
+
"train_samples_per_second": 40.903,
|
386 |
+
"train_steps_per_second": 0.32
|
387 |
+
}
|
388 |
+
],
|
389 |
+
"max_steps": 570,
|
390 |
+
"num_train_epochs": 3,
|
391 |
+
"total_flos": 1.8124066505760768e+18,
|
392 |
+
"trial_name": null,
|
393 |
+
"trial_params": null
|
394 |
+
}
|