paul
commited on
Commit
·
af3020d
1
Parent(s):
ca1e2cc
End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.99,
|
3 |
+
"total_flos": 1.0978600105465897e+18,
|
4 |
+
"train_loss": 1.1949917197227478,
|
5 |
+
"train_runtime": 2893.9697,
|
6 |
+
"train_samples_per_second": 17.879,
|
7 |
+
"train_steps_per_second": 0.138
|
8 |
+
}
|
runs/Sep17_11-12-09_c6083727ba95/events.out.tfevents.1663413173.c6083727ba95.69.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3c33788c8f64150440eb2d72798a8a7fad21dd093cfd73149f04f76e46ba667b
|
3 |
+
size 13642
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.99,
|
3 |
+
"total_flos": 1.0978600105465897e+18,
|
4 |
+
"train_loss": 1.1949917197227478,
|
5 |
+
"train_runtime": 2893.9697,
|
6 |
+
"train_samples_per_second": 17.879,
|
7 |
+
"train_steps_per_second": 0.138
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,355 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5741885625965997,
|
3 |
+
"best_model_checkpoint": "resnet50-finetuned-memes/checkpoint-400",
|
4 |
+
"epoch": 9.987654320987655,
|
5 |
+
"global_step": 400,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.25,
|
12 |
+
"learning_rate": 3e-05,
|
13 |
+
"loss": 1.5889,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.49,
|
18 |
+
"learning_rate": 6e-05,
|
19 |
+
"loss": 1.5731,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.74,
|
24 |
+
"learning_rate": 9e-05,
|
25 |
+
"loss": 1.5334,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.99,
|
30 |
+
"learning_rate": 0.00012,
|
31 |
+
"loss": 1.4795,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.99,
|
36 |
+
"eval_accuracy": 0.4381761978361669,
|
37 |
+
"eval_loss": 1.464142084121704,
|
38 |
+
"eval_runtime": 356.2702,
|
39 |
+
"eval_samples_per_second": 3.632,
|
40 |
+
"eval_steps_per_second": 0.115,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 1.25,
|
45 |
+
"learning_rate": 0.00011666666666666667,
|
46 |
+
"loss": 1.5199,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 1.49,
|
51 |
+
"learning_rate": 0.00011333333333333333,
|
52 |
+
"loss": 1.3721,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.74,
|
57 |
+
"learning_rate": 0.00011,
|
58 |
+
"loss": 1.3598,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.99,
|
63 |
+
"learning_rate": 0.00010666666666666667,
|
64 |
+
"loss": 1.3455,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.99,
|
69 |
+
"eval_accuracy": 0.43894899536321486,
|
70 |
+
"eval_loss": 1.328090786933899,
|
71 |
+
"eval_runtime": 11.0632,
|
72 |
+
"eval_samples_per_second": 116.965,
|
73 |
+
"eval_steps_per_second": 3.706,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.25,
|
78 |
+
"learning_rate": 0.00010333333333333334,
|
79 |
+
"loss": 1.3903,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 2.49,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 1.2656,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 2.74,
|
90 |
+
"learning_rate": 9.666666666666667e-05,
|
91 |
+
"loss": 1.2454,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 2.99,
|
96 |
+
"learning_rate": 9.333333333333334e-05,
|
97 |
+
"loss": 1.262,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 2.99,
|
102 |
+
"eval_accuracy": 0.45826893353941267,
|
103 |
+
"eval_loss": 1.2583322525024414,
|
104 |
+
"eval_runtime": 10.8015,
|
105 |
+
"eval_samples_per_second": 119.798,
|
106 |
+
"eval_steps_per_second": 3.796,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 3.25,
|
111 |
+
"learning_rate": 9e-05,
|
112 |
+
"loss": 1.2804,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 3.49,
|
117 |
+
"learning_rate": 8.666666666666667e-05,
|
118 |
+
"loss": 1.2069,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 3.74,
|
123 |
+
"learning_rate": 8.333333333333333e-05,
|
124 |
+
"loss": 1.165,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 3.99,
|
129 |
+
"learning_rate": 7.999999999999999e-05,
|
130 |
+
"loss": 1.1975,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 3.99,
|
135 |
+
"eval_accuracy": 0.48763523956723337,
|
136 |
+
"eval_loss": 1.1978484392166138,
|
137 |
+
"eval_runtime": 10.8724,
|
138 |
+
"eval_samples_per_second": 119.017,
|
139 |
+
"eval_steps_per_second": 3.771,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 4.25,
|
144 |
+
"learning_rate": 7.666666666666667e-05,
|
145 |
+
"loss": 1.2468,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 4.49,
|
150 |
+
"learning_rate": 7.333333333333334e-05,
|
151 |
+
"loss": 1.1397,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 4.74,
|
156 |
+
"learning_rate": 7.000000000000001e-05,
|
157 |
+
"loss": 1.1458,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 4.99,
|
162 |
+
"learning_rate": 6.666666666666667e-05,
|
163 |
+
"loss": 1.1358,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 4.99,
|
168 |
+
"eval_accuracy": 0.5139103554868625,
|
169 |
+
"eval_loss": 1.1613554954528809,
|
170 |
+
"eval_runtime": 10.8401,
|
171 |
+
"eval_samples_per_second": 119.372,
|
172 |
+
"eval_steps_per_second": 3.782,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 5.25,
|
177 |
+
"learning_rate": 6.333333333333333e-05,
|
178 |
+
"loss": 1.1519,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 5.49,
|
183 |
+
"learning_rate": 6e-05,
|
184 |
+
"loss": 1.1357,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 5.74,
|
189 |
+
"learning_rate": 5.6666666666666664e-05,
|
190 |
+
"loss": 1.0866,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 5.99,
|
195 |
+
"learning_rate": 5.333333333333333e-05,
|
196 |
+
"loss": 1.1273,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 5.99,
|
201 |
+
"eval_accuracy": 0.5378670788253478,
|
202 |
+
"eval_loss": 1.1315844058990479,
|
203 |
+
"eval_runtime": 10.9479,
|
204 |
+
"eval_samples_per_second": 118.196,
|
205 |
+
"eval_steps_per_second": 3.745,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 6.25,
|
210 |
+
"learning_rate": 5e-05,
|
211 |
+
"loss": 1.1223,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 6.49,
|
216 |
+
"learning_rate": 4.666666666666667e-05,
|
217 |
+
"loss": 1.1019,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 6.74,
|
222 |
+
"learning_rate": 4.3333333333333334e-05,
|
223 |
+
"loss": 1.0818,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 6.99,
|
228 |
+
"learning_rate": 3.9999999999999996e-05,
|
229 |
+
"loss": 1.0379,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 6.99,
|
234 |
+
"eval_accuracy": 0.5463678516228748,
|
235 |
+
"eval_loss": 1.1023606061935425,
|
236 |
+
"eval_runtime": 10.9798,
|
237 |
+
"eval_samples_per_second": 117.853,
|
238 |
+
"eval_steps_per_second": 3.734,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 7.25,
|
243 |
+
"learning_rate": 3.666666666666667e-05,
|
244 |
+
"loss": 1.105,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 7.49,
|
249 |
+
"learning_rate": 3.3333333333333335e-05,
|
250 |
+
"loss": 1.0405,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 7.74,
|
255 |
+
"learning_rate": 3e-05,
|
256 |
+
"loss": 1.064,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 7.99,
|
261 |
+
"learning_rate": 2.6666666666666667e-05,
|
262 |
+
"loss": 1.041,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 7.99,
|
267 |
+
"eval_accuracy": 0.5579598145285936,
|
268 |
+
"eval_loss": 1.092698574066162,
|
269 |
+
"eval_runtime": 10.8776,
|
270 |
+
"eval_samples_per_second": 118.96,
|
271 |
+
"eval_steps_per_second": 3.769,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 8.25,
|
276 |
+
"learning_rate": 2.3333333333333336e-05,
|
277 |
+
"loss": 1.0863,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 8.49,
|
282 |
+
"learning_rate": 1.9999999999999998e-05,
|
283 |
+
"loss": 1.0746,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 8.74,
|
288 |
+
"learning_rate": 1.6666666666666667e-05,
|
289 |
+
"loss": 0.9904,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 8.99,
|
294 |
+
"learning_rate": 1.3333333333333333e-05,
|
295 |
+
"loss": 0.9952,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 8.99,
|
300 |
+
"eval_accuracy": 0.5540958268933539,
|
301 |
+
"eval_loss": 1.0790153741836548,
|
302 |
+
"eval_runtime": 10.8823,
|
303 |
+
"eval_samples_per_second": 118.909,
|
304 |
+
"eval_steps_per_second": 3.768,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 9.25,
|
309 |
+
"learning_rate": 9.999999999999999e-06,
|
310 |
+
"loss": 1.0354,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 9.49,
|
315 |
+
"learning_rate": 6.666666666666667e-06,
|
316 |
+
"loss": 1.0133,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 9.74,
|
321 |
+
"learning_rate": 3.3333333333333333e-06,
|
322 |
+
"loss": 1.0406,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 9.99,
|
327 |
+
"learning_rate": 0.0,
|
328 |
+
"loss": 1.0146,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 9.99,
|
333 |
+
"eval_accuracy": 0.5741885625965997,
|
334 |
+
"eval_loss": 1.0625255107879639,
|
335 |
+
"eval_runtime": 10.9551,
|
336 |
+
"eval_samples_per_second": 118.118,
|
337 |
+
"eval_steps_per_second": 3.743,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 9.99,
|
342 |
+
"step": 400,
|
343 |
+
"total_flos": 1.0978600105465897e+18,
|
344 |
+
"train_loss": 1.1949917197227478,
|
345 |
+
"train_runtime": 2893.9697,
|
346 |
+
"train_samples_per_second": 17.879,
|
347 |
+
"train_steps_per_second": 0.138
|
348 |
+
}
|
349 |
+
],
|
350 |
+
"max_steps": 400,
|
351 |
+
"num_train_epochs": 10,
|
352 |
+
"total_flos": 1.0978600105465897e+18,
|
353 |
+
"trial_name": null,
|
354 |
+
"trial_params": null
|
355 |
+
}
|