End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.98,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 9.558848432789091e-06,
|
5 |
+
"eval_runtime": 31.5186,
|
6 |
+
"eval_samples_per_second": 57.109,
|
7 |
+
"eval_steps_per_second": 1.808,
|
8 |
+
"total_flos": 1.2014751945240576e+18,
|
9 |
+
"train_loss": 0.17176837376540616,
|
10 |
+
"train_runtime": 8690.1401,
|
11 |
+
"train_samples_per_second": 5.591,
|
12 |
+
"train_steps_per_second": 0.043
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.98,
|
3 |
+
"eval_accuracy": 1.0,
|
4 |
+
"eval_loss": 9.558848432789091e-06,
|
5 |
+
"eval_runtime": 31.5186,
|
6 |
+
"eval_samples_per_second": 57.109,
|
7 |
+
"eval_steps_per_second": 1.808
|
8 |
+
}
|
runs/Apr15_05-14-38_d3d1cd9553d4/events.out.tfevents.1713167236.d3d1cd9553d4.1260.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f6aa408b18c54161e5ccf1664e711de1daa7e90613019f5560d95ac637b10b0e
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.98,
|
3 |
+
"total_flos": 1.2014751945240576e+18,
|
4 |
+
"train_loss": 0.17176837376540616,
|
5 |
+
"train_runtime": 8690.1401,
|
6 |
+
"train_samples_per_second": 5.591,
|
7 |
+
"train_steps_per_second": 0.043
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,316 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-378",
|
4 |
+
"epoch": 2.9822485207100593,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 378,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.08,
|
13 |
+
"grad_norm": 12.153364181518555,
|
14 |
+
"learning_rate": 1.3157894736842106e-05,
|
15 |
+
"loss": 2.1615,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.16,
|
20 |
+
"grad_norm": 16.816362380981445,
|
21 |
+
"learning_rate": 2.6315789473684212e-05,
|
22 |
+
"loss": 1.8847,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.24,
|
27 |
+
"grad_norm": 18.271907806396484,
|
28 |
+
"learning_rate": 3.9473684210526316e-05,
|
29 |
+
"loss": 1.2194,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.32,
|
34 |
+
"grad_norm": 5.709053039550781,
|
35 |
+
"learning_rate": 4.970588235294118e-05,
|
36 |
+
"loss": 0.5036,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.39,
|
41 |
+
"grad_norm": 5.6657609939575195,
|
42 |
+
"learning_rate": 4.823529411764706e-05,
|
43 |
+
"loss": 0.1547,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.47,
|
48 |
+
"grad_norm": 4.165065288543701,
|
49 |
+
"learning_rate": 4.6764705882352944e-05,
|
50 |
+
"loss": 0.0731,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.55,
|
55 |
+
"grad_norm": 8.897403717041016,
|
56 |
+
"learning_rate": 4.5294117647058826e-05,
|
57 |
+
"loss": 0.0448,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.63,
|
62 |
+
"grad_norm": 2.7607221603393555,
|
63 |
+
"learning_rate": 4.382352941176471e-05,
|
64 |
+
"loss": 0.0227,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.71,
|
69 |
+
"grad_norm": 2.4922943115234375,
|
70 |
+
"learning_rate": 4.235294117647059e-05,
|
71 |
+
"loss": 0.0216,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.79,
|
76 |
+
"grad_norm": 1.6621469259262085,
|
77 |
+
"learning_rate": 4.0882352941176474e-05,
|
78 |
+
"loss": 0.0332,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.87,
|
83 |
+
"grad_norm": 6.23069953918457,
|
84 |
+
"learning_rate": 3.9411764705882356e-05,
|
85 |
+
"loss": 0.0277,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.95,
|
90 |
+
"grad_norm": 2.660862684249878,
|
91 |
+
"learning_rate": 3.794117647058824e-05,
|
92 |
+
"loss": 0.0194,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.99,
|
97 |
+
"eval_accuracy": 0.9994444444444445,
|
98 |
+
"eval_loss": 0.002504603238776326,
|
99 |
+
"eval_runtime": 853.0633,
|
100 |
+
"eval_samples_per_second": 2.11,
|
101 |
+
"eval_steps_per_second": 0.067,
|
102 |
+
"step": 126
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 1.03,
|
106 |
+
"grad_norm": 3.3311333656311035,
|
107 |
+
"learning_rate": 3.6470588235294114e-05,
|
108 |
+
"loss": 0.0191,
|
109 |
+
"step": 130
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 1.1,
|
113 |
+
"grad_norm": 1.546949028968811,
|
114 |
+
"learning_rate": 3.5e-05,
|
115 |
+
"loss": 0.0193,
|
116 |
+
"step": 140
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.18,
|
120 |
+
"grad_norm": 2.039259910583496,
|
121 |
+
"learning_rate": 3.352941176470588e-05,
|
122 |
+
"loss": 0.0213,
|
123 |
+
"step": 150
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 1.26,
|
127 |
+
"grad_norm": 2.8678247928619385,
|
128 |
+
"learning_rate": 3.205882352941177e-05,
|
129 |
+
"loss": 0.017,
|
130 |
+
"step": 160
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 1.34,
|
134 |
+
"grad_norm": 1.6331835985183716,
|
135 |
+
"learning_rate": 3.058823529411765e-05,
|
136 |
+
"loss": 0.0221,
|
137 |
+
"step": 170
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.42,
|
141 |
+
"grad_norm": 0.7777595520019531,
|
142 |
+
"learning_rate": 2.9117647058823534e-05,
|
143 |
+
"loss": 0.0206,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.5,
|
148 |
+
"grad_norm": 2.2770392894744873,
|
149 |
+
"learning_rate": 2.7647058823529416e-05,
|
150 |
+
"loss": 0.0203,
|
151 |
+
"step": 190
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 1.58,
|
155 |
+
"grad_norm": 1.0933735370635986,
|
156 |
+
"learning_rate": 2.6176470588235295e-05,
|
157 |
+
"loss": 0.0233,
|
158 |
+
"step": 200
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.66,
|
162 |
+
"grad_norm": 0.9536008238792419,
|
163 |
+
"learning_rate": 2.4705882352941178e-05,
|
164 |
+
"loss": 0.0139,
|
165 |
+
"step": 210
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 1.74,
|
169 |
+
"grad_norm": 0.19179974496364594,
|
170 |
+
"learning_rate": 2.323529411764706e-05,
|
171 |
+
"loss": 0.007,
|
172 |
+
"step": 220
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 1.81,
|
176 |
+
"grad_norm": 0.12005764245986938,
|
177 |
+
"learning_rate": 2.1764705882352943e-05,
|
178 |
+
"loss": 0.0105,
|
179 |
+
"step": 230
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.89,
|
183 |
+
"grad_norm": 2.346966028213501,
|
184 |
+
"learning_rate": 2.0294117647058825e-05,
|
185 |
+
"loss": 0.0144,
|
186 |
+
"step": 240
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.97,
|
190 |
+
"grad_norm": 1.2424992322921753,
|
191 |
+
"learning_rate": 1.8823529411764708e-05,
|
192 |
+
"loss": 0.0137,
|
193 |
+
"step": 250
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 2.0,
|
197 |
+
"eval_accuracy": 0.9994444444444445,
|
198 |
+
"eval_loss": 0.0009298253571614623,
|
199 |
+
"eval_runtime": 31.8455,
|
200 |
+
"eval_samples_per_second": 56.523,
|
201 |
+
"eval_steps_per_second": 1.79,
|
202 |
+
"step": 253
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 2.05,
|
206 |
+
"grad_norm": 1.2912344932556152,
|
207 |
+
"learning_rate": 1.735294117647059e-05,
|
208 |
+
"loss": 0.0119,
|
209 |
+
"step": 260
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 2.13,
|
213 |
+
"grad_norm": 0.5564313530921936,
|
214 |
+
"learning_rate": 1.588235294117647e-05,
|
215 |
+
"loss": 0.006,
|
216 |
+
"step": 270
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 2.21,
|
220 |
+
"grad_norm": 0.05754239112138748,
|
221 |
+
"learning_rate": 1.4411764705882352e-05,
|
222 |
+
"loss": 0.0068,
|
223 |
+
"step": 280
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 2.29,
|
227 |
+
"grad_norm": 0.031185824424028397,
|
228 |
+
"learning_rate": 1.2941176470588238e-05,
|
229 |
+
"loss": 0.0063,
|
230 |
+
"step": 290
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.37,
|
234 |
+
"grad_norm": 0.09058652073144913,
|
235 |
+
"learning_rate": 1.1470588235294118e-05,
|
236 |
+
"loss": 0.0119,
|
237 |
+
"step": 300
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 2.45,
|
241 |
+
"grad_norm": 0.13693469762802124,
|
242 |
+
"learning_rate": 1e-05,
|
243 |
+
"loss": 0.0055,
|
244 |
+
"step": 310
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 2.52,
|
248 |
+
"grad_norm": 2.508786201477051,
|
249 |
+
"learning_rate": 8.529411764705883e-06,
|
250 |
+
"loss": 0.01,
|
251 |
+
"step": 320
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.6,
|
255 |
+
"grad_norm": 0.2263449877500534,
|
256 |
+
"learning_rate": 7.058823529411765e-06,
|
257 |
+
"loss": 0.0059,
|
258 |
+
"step": 330
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 2.68,
|
262 |
+
"grad_norm": 0.004928161855787039,
|
263 |
+
"learning_rate": 5.588235294117647e-06,
|
264 |
+
"loss": 0.0064,
|
265 |
+
"step": 340
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 2.76,
|
269 |
+
"grad_norm": 3.029522180557251,
|
270 |
+
"learning_rate": 4.11764705882353e-06,
|
271 |
+
"loss": 0.011,
|
272 |
+
"step": 350
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.84,
|
276 |
+
"grad_norm": 0.02349434234201908,
|
277 |
+
"learning_rate": 2.647058823529412e-06,
|
278 |
+
"loss": 0.0114,
|
279 |
+
"step": 360
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 2.92,
|
283 |
+
"grad_norm": 1.1028828620910645,
|
284 |
+
"learning_rate": 1.1764705882352942e-06,
|
285 |
+
"loss": 0.0075,
|
286 |
+
"step": 370
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 2.98,
|
290 |
+
"eval_accuracy": 1.0,
|
291 |
+
"eval_loss": 9.558848432789091e-06,
|
292 |
+
"eval_runtime": 31.5287,
|
293 |
+
"eval_samples_per_second": 57.091,
|
294 |
+
"eval_steps_per_second": 1.808,
|
295 |
+
"step": 378
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 2.98,
|
299 |
+
"step": 378,
|
300 |
+
"total_flos": 1.2014751945240576e+18,
|
301 |
+
"train_loss": 0.17176837376540616,
|
302 |
+
"train_runtime": 8690.1401,
|
303 |
+
"train_samples_per_second": 5.591,
|
304 |
+
"train_steps_per_second": 0.043
|
305 |
+
}
|
306 |
+
],
|
307 |
+
"logging_steps": 10,
|
308 |
+
"max_steps": 378,
|
309 |
+
"num_input_tokens_seen": 0,
|
310 |
+
"num_train_epochs": 3,
|
311 |
+
"save_steps": 500,
|
312 |
+
"total_flos": 1.2014751945240576e+18,
|
313 |
+
"train_batch_size": 32,
|
314 |
+
"trial_name": null,
|
315 |
+
"trial_params": null
|
316 |
+
}
|