End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"eval_accuracy": 0.9067641496658325,
|
4 |
+
"eval_loss": 0.5008062124252319,
|
5 |
+
"eval_runtime": 2.6985,
|
6 |
+
"eval_samples": 1094,
|
7 |
+
"eval_samples_per_second": 405.405,
|
8 |
+
"eval_steps_per_second": 50.768,
|
9 |
+
"train_loss": 0.8025478858658762,
|
10 |
+
"train_runtime": 2288.0689,
|
11 |
+
"train_samples": 10556,
|
12 |
+
"train_samples_per_second": 69.202,
|
13 |
+
"train_steps_per_second": 8.654
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"eval_accuracy": 0.9067641496658325,
|
4 |
+
"eval_loss": 0.5008062124252319,
|
5 |
+
"eval_runtime": 2.6985,
|
6 |
+
"eval_samples": 1094,
|
7 |
+
"eval_samples_per_second": 405.405,
|
8 |
+
"eval_steps_per_second": 50.768
|
9 |
+
}
|
runs/Dec07_15-16-10_jbuhmann/events.out.tfevents.1638890190.jbuhmann.6962.0
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 sha256:4e673639af82ae1484889dd15e07b3ecc5f5d55e6733bb58774326bdc1ca8e04
|
3 |
+
size 27806
|
runs/Dec07_15-16-10_jbuhmann/events.out.tfevents.1638892482.jbuhmann.6962.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5b11b670d1c16296737962c04d9a0cfd9e59a7508d0e5858c32719d662c2c350
|
3 |
+
size 369
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"train_loss": 0.8025478858658762,
|
4 |
+
"train_runtime": 2288.0689,
|
5 |
+
"train_samples": 10556,
|
6 |
+
"train_samples_per_second": 69.202,
|
7 |
+
"train_steps_per_second": 8.654
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,394 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
+
"global_step": 19800,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.38,
|
12 |
+
"learning_rate": 9.747474747474748e-06,
|
13 |
+
"loss": 4.7768,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.76,
|
18 |
+
"learning_rate": 9.494949494949497e-06,
|
19 |
+
"loss": 4.0751,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.0,
|
24 |
+
"eval_accuracy": 0.4085923135280609,
|
25 |
+
"eval_loss": 3.1674067974090576,
|
26 |
+
"eval_runtime": 2.3527,
|
27 |
+
"eval_samples_per_second": 464.995,
|
28 |
+
"eval_steps_per_second": 58.231,
|
29 |
+
"step": 1320
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 1.14,
|
33 |
+
"learning_rate": 9.242424242424244e-06,
|
34 |
+
"loss": 3.4974,
|
35 |
+
"step": 1500
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 1.52,
|
39 |
+
"learning_rate": 8.98989898989899e-06,
|
40 |
+
"loss": 2.9213,
|
41 |
+
"step": 2000
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 1.89,
|
45 |
+
"learning_rate": 8.737373737373738e-06,
|
46 |
+
"loss": 2.5619,
|
47 |
+
"step": 2500
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 2.0,
|
51 |
+
"eval_accuracy": 0.6425960063934326,
|
52 |
+
"eval_loss": 2.033519983291626,
|
53 |
+
"eval_runtime": 2.6883,
|
54 |
+
"eval_samples_per_second": 406.954,
|
55 |
+
"eval_steps_per_second": 50.962,
|
56 |
+
"step": 2640
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 2.27,
|
60 |
+
"learning_rate": 8.484848484848486e-06,
|
61 |
+
"loss": 2.1398,
|
62 |
+
"step": 3000
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 2.65,
|
66 |
+
"learning_rate": 8.232323232323233e-06,
|
67 |
+
"loss": 1.8549,
|
68 |
+
"step": 3500
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 3.0,
|
72 |
+
"eval_accuracy": 0.7861060500144958,
|
73 |
+
"eval_loss": 1.3536856174468994,
|
74 |
+
"eval_runtime": 2.7119,
|
75 |
+
"eval_samples_per_second": 403.407,
|
76 |
+
"eval_steps_per_second": 50.518,
|
77 |
+
"step": 3960
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 3.03,
|
81 |
+
"learning_rate": 7.97979797979798e-06,
|
82 |
+
"loss": 1.5512,
|
83 |
+
"step": 4000
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 3.41,
|
87 |
+
"learning_rate": 7.727272727272727e-06,
|
88 |
+
"loss": 1.2539,
|
89 |
+
"step": 4500
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 3.79,
|
93 |
+
"learning_rate": 7.474747474747476e-06,
|
94 |
+
"loss": 1.106,
|
95 |
+
"step": 5000
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 4.0,
|
99 |
+
"eval_accuracy": 0.8519195318222046,
|
100 |
+
"eval_loss": 0.9515264630317688,
|
101 |
+
"eval_runtime": 2.0985,
|
102 |
+
"eval_samples_per_second": 521.321,
|
103 |
+
"eval_steps_per_second": 65.284,
|
104 |
+
"step": 5280
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.17,
|
108 |
+
"learning_rate": 7.222222222222223e-06,
|
109 |
+
"loss": 0.9313,
|
110 |
+
"step": 5500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 4.55,
|
114 |
+
"learning_rate": 6.969696969696971e-06,
|
115 |
+
"loss": 0.7451,
|
116 |
+
"step": 6000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 4.92,
|
120 |
+
"learning_rate": 6.717171717171718e-06,
|
121 |
+
"loss": 0.6698,
|
122 |
+
"step": 6500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 5.0,
|
126 |
+
"eval_accuracy": 0.8756855726242065,
|
127 |
+
"eval_loss": 0.7151774764060974,
|
128 |
+
"eval_runtime": 2.6359,
|
129 |
+
"eval_samples_per_second": 415.04,
|
130 |
+
"eval_steps_per_second": 51.975,
|
131 |
+
"step": 6600
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 5.3,
|
135 |
+
"learning_rate": 6.464646464646466e-06,
|
136 |
+
"loss": 0.5083,
|
137 |
+
"step": 7000
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 5.68,
|
141 |
+
"learning_rate": 6.212121212121213e-06,
|
142 |
+
"loss": 0.4497,
|
143 |
+
"step": 7500
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 6.0,
|
147 |
+
"eval_accuracy": 0.8921389579772949,
|
148 |
+
"eval_loss": 0.5837920904159546,
|
149 |
+
"eval_runtime": 2.4768,
|
150 |
+
"eval_samples_per_second": 441.702,
|
151 |
+
"eval_steps_per_second": 55.314,
|
152 |
+
"step": 7920
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 6.06,
|
156 |
+
"learning_rate": 5.95959595959596e-06,
|
157 |
+
"loss": 0.3833,
|
158 |
+
"step": 8000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 6.44,
|
162 |
+
"learning_rate": 5.7070707070707075e-06,
|
163 |
+
"loss": 0.2833,
|
164 |
+
"step": 8500
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 6.82,
|
168 |
+
"learning_rate": 5.4545454545454545e-06,
|
169 |
+
"loss": 0.2626,
|
170 |
+
"step": 9000
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 7.0,
|
174 |
+
"eval_accuracy": 0.8939670920372009,
|
175 |
+
"eval_loss": 0.5299845933914185,
|
176 |
+
"eval_runtime": 2.4222,
|
177 |
+
"eval_samples_per_second": 451.662,
|
178 |
+
"eval_steps_per_second": 56.561,
|
179 |
+
"step": 9240
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 7.2,
|
183 |
+
"learning_rate": 5.202020202020202e-06,
|
184 |
+
"loss": 0.2341,
|
185 |
+
"step": 9500
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 7.58,
|
189 |
+
"learning_rate": 4.94949494949495e-06,
|
190 |
+
"loss": 0.1797,
|
191 |
+
"step": 10000
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 7.95,
|
195 |
+
"learning_rate": 4.696969696969698e-06,
|
196 |
+
"loss": 0.1762,
|
197 |
+
"step": 10500
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 8.0,
|
201 |
+
"eval_accuracy": 0.8957952260971069,
|
202 |
+
"eval_loss": 0.4984068274497986,
|
203 |
+
"eval_runtime": 2.3921,
|
204 |
+
"eval_samples_per_second": 457.333,
|
205 |
+
"eval_steps_per_second": 57.271,
|
206 |
+
"step": 10560
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 8.33,
|
210 |
+
"learning_rate": 4.444444444444444e-06,
|
211 |
+
"loss": 0.1334,
|
212 |
+
"step": 11000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 8.71,
|
216 |
+
"learning_rate": 4.191919191919192e-06,
|
217 |
+
"loss": 0.119,
|
218 |
+
"step": 11500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 9.0,
|
222 |
+
"eval_accuracy": 0.9058501124382019,
|
223 |
+
"eval_loss": 0.4905829429626465,
|
224 |
+
"eval_runtime": 2.4787,
|
225 |
+
"eval_samples_per_second": 441.362,
|
226 |
+
"eval_steps_per_second": 55.271,
|
227 |
+
"step": 11880
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 9.09,
|
231 |
+
"learning_rate": 3.93939393939394e-06,
|
232 |
+
"loss": 0.1192,
|
233 |
+
"step": 12000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 9.47,
|
237 |
+
"learning_rate": 3.686868686868687e-06,
|
238 |
+
"loss": 0.0868,
|
239 |
+
"step": 12500
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 9.85,
|
243 |
+
"learning_rate": 3.4343434343434347e-06,
|
244 |
+
"loss": 0.0919,
|
245 |
+
"step": 13000
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 10.0,
|
249 |
+
"eval_accuracy": 0.8994515538215637,
|
250 |
+
"eval_loss": 0.48957258462905884,
|
251 |
+
"eval_runtime": 2.08,
|
252 |
+
"eval_samples_per_second": 525.969,
|
253 |
+
"eval_steps_per_second": 65.866,
|
254 |
+
"step": 13200
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 10.23,
|
258 |
+
"learning_rate": 3.181818181818182e-06,
|
259 |
+
"loss": 0.0706,
|
260 |
+
"step": 13500
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 10.61,
|
264 |
+
"learning_rate": 2.9292929292929295e-06,
|
265 |
+
"loss": 0.0686,
|
266 |
+
"step": 14000
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 10.98,
|
270 |
+
"learning_rate": 2.676767676767677e-06,
|
271 |
+
"loss": 0.0722,
|
272 |
+
"step": 14500
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 11.0,
|
276 |
+
"eval_accuracy": 0.9021937847137451,
|
277 |
+
"eval_loss": 0.501167356967926,
|
278 |
+
"eval_runtime": 2.5009,
|
279 |
+
"eval_samples_per_second": 437.434,
|
280 |
+
"eval_steps_per_second": 54.779,
|
281 |
+
"step": 14520
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 11.36,
|
285 |
+
"learning_rate": 2.4242424242424244e-06,
|
286 |
+
"loss": 0.0512,
|
287 |
+
"step": 15000
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 11.74,
|
291 |
+
"learning_rate": 2.171717171717172e-06,
|
292 |
+
"loss": 0.0517,
|
293 |
+
"step": 15500
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 12.0,
|
297 |
+
"eval_accuracy": 0.9040219187736511,
|
298 |
+
"eval_loss": 0.4950941503047943,
|
299 |
+
"eval_runtime": 2.5035,
|
300 |
+
"eval_samples_per_second": 436.984,
|
301 |
+
"eval_steps_per_second": 54.723,
|
302 |
+
"step": 15840
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 12.12,
|
306 |
+
"learning_rate": 1.9191919191919192e-06,
|
307 |
+
"loss": 0.0518,
|
308 |
+
"step": 16000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 12.5,
|
312 |
+
"learning_rate": 1.6666666666666667e-06,
|
313 |
+
"loss": 0.0493,
|
314 |
+
"step": 16500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 12.88,
|
318 |
+
"learning_rate": 1.4141414141414143e-06,
|
319 |
+
"loss": 0.0353,
|
320 |
+
"step": 17000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 13.0,
|
324 |
+
"eval_accuracy": 0.9040219187736511,
|
325 |
+
"eval_loss": 0.49883490800857544,
|
326 |
+
"eval_runtime": 2.4613,
|
327 |
+
"eval_samples_per_second": 444.472,
|
328 |
+
"eval_steps_per_second": 55.661,
|
329 |
+
"step": 17160
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 13.26,
|
333 |
+
"learning_rate": 1.1616161616161617e-06,
|
334 |
+
"loss": 0.0453,
|
335 |
+
"step": 17500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 13.64,
|
339 |
+
"learning_rate": 9.090909090909091e-07,
|
340 |
+
"loss": 0.0334,
|
341 |
+
"step": 18000
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 14.0,
|
345 |
+
"eval_accuracy": 0.9049360156059265,
|
346 |
+
"eval_loss": 0.5035073161125183,
|
347 |
+
"eval_runtime": 2.3997,
|
348 |
+
"eval_samples_per_second": 455.895,
|
349 |
+
"eval_steps_per_second": 57.091,
|
350 |
+
"step": 18480
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 14.02,
|
354 |
+
"learning_rate": 6.565656565656567e-07,
|
355 |
+
"loss": 0.0455,
|
356 |
+
"step": 18500
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 14.39,
|
360 |
+
"learning_rate": 4.040404040404041e-07,
|
361 |
+
"loss": 0.0378,
|
362 |
+
"step": 19000
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 14.77,
|
366 |
+
"learning_rate": 1.5151515151515152e-07,
|
367 |
+
"loss": 0.0304,
|
368 |
+
"step": 19500
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 15.0,
|
372 |
+
"eval_accuracy": 0.9067641496658325,
|
373 |
+
"eval_loss": 0.5008062124252319,
|
374 |
+
"eval_runtime": 2.0764,
|
375 |
+
"eval_samples_per_second": 526.877,
|
376 |
+
"eval_steps_per_second": 65.98,
|
377 |
+
"step": 19800
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 15.0,
|
381 |
+
"step": 19800,
|
382 |
+
"total_flos": 5215995096399360.0,
|
383 |
+
"train_loss": 0.8025478858658762,
|
384 |
+
"train_runtime": 2288.0689,
|
385 |
+
"train_samples_per_second": 69.202,
|
386 |
+
"train_steps_per_second": 8.654
|
387 |
+
}
|
388 |
+
],
|
389 |
+
"max_steps": 19800,
|
390 |
+
"num_train_epochs": 15,
|
391 |
+
"total_flos": 5215995096399360.0,
|
392 |
+
"trial_name": null,
|
393 |
+
"trial_params": null
|
394 |
+
}
|