End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.984313725490196,
|
4 |
+
"eval_loss": 0.07451473921537399,
|
5 |
+
"eval_runtime": 5.114,
|
6 |
+
"eval_samples_per_second": 49.863,
|
7 |
+
"eval_steps_per_second": 1.564,
|
8 |
+
"total_flos": 1.1677328181960376e+18,
|
9 |
+
"train_loss": 0.13230072516534064,
|
10 |
+
"train_runtime": 1894.9319,
|
11 |
+
"train_samples_per_second": 24.149,
|
12 |
+
"train_steps_per_second": 0.19
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.984313725490196,
|
4 |
+
"eval_loss": 0.07451473921537399,
|
5 |
+
"eval_runtime": 5.114,
|
6 |
+
"eval_samples_per_second": 49.863,
|
7 |
+
"eval_steps_per_second": 1.564
|
8 |
+
}
|
runs/Oct09_03-55-26_f76b01336d31/events.out.tfevents.1696826334.f76b01336d31.1308.4
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e335db9ef36e905e26a44d07b90044caee9ab3409ec2240d4d5385b461e4f94c
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"total_flos": 1.1677328181960376e+18,
|
4 |
+
"train_loss": 0.13230072516534064,
|
5 |
+
"train_runtime": 1894.9319,
|
6 |
+
"train_samples_per_second": 24.149,
|
7 |
+
"train_steps_per_second": 0.19
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,421 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.984313725490196,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-uploads-classifier-v2/checkpoint-54",
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 360,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.56,
|
12 |
+
"learning_rate": 2.5e-05,
|
13 |
+
"loss": 1.2482,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_accuracy": 0.8823529411764706,
|
19 |
+
"eval_loss": 0.47807738184928894,
|
20 |
+
"eval_runtime": 128.4565,
|
21 |
+
"eval_samples_per_second": 1.985,
|
22 |
+
"eval_steps_per_second": 0.062,
|
23 |
+
"step": 18
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.11,
|
27 |
+
"learning_rate": 3.888888888888889e-05,
|
28 |
+
"loss": 0.6777,
|
29 |
+
"step": 20
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 1.67,
|
33 |
+
"learning_rate": 4.969135802469136e-05,
|
34 |
+
"loss": 0.3036,
|
35 |
+
"step": 30
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 2.0,
|
39 |
+
"eval_accuracy": 0.9803921568627451,
|
40 |
+
"eval_loss": 0.093613401055336,
|
41 |
+
"eval_runtime": 5.0974,
|
42 |
+
"eval_samples_per_second": 50.026,
|
43 |
+
"eval_steps_per_second": 1.569,
|
44 |
+
"step": 36
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 2.22,
|
48 |
+
"learning_rate": 4.814814814814815e-05,
|
49 |
+
"loss": 0.2274,
|
50 |
+
"step": 40
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 2.78,
|
54 |
+
"learning_rate": 4.6604938271604945e-05,
|
55 |
+
"loss": 0.1687,
|
56 |
+
"step": 50
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 3.0,
|
60 |
+
"eval_accuracy": 0.984313725490196,
|
61 |
+
"eval_loss": 0.07451473921537399,
|
62 |
+
"eval_runtime": 5.1553,
|
63 |
+
"eval_samples_per_second": 49.463,
|
64 |
+
"eval_steps_per_second": 1.552,
|
65 |
+
"step": 54
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 3.33,
|
69 |
+
"learning_rate": 4.506172839506173e-05,
|
70 |
+
"loss": 0.173,
|
71 |
+
"step": 60
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 3.89,
|
75 |
+
"learning_rate": 4.351851851851852e-05,
|
76 |
+
"loss": 0.1392,
|
77 |
+
"step": 70
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 4.0,
|
81 |
+
"eval_accuracy": 0.9725490196078431,
|
82 |
+
"eval_loss": 0.09800481051206589,
|
83 |
+
"eval_runtime": 5.0352,
|
84 |
+
"eval_samples_per_second": 50.643,
|
85 |
+
"eval_steps_per_second": 1.589,
|
86 |
+
"step": 72
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 4.44,
|
90 |
+
"learning_rate": 4.197530864197531e-05,
|
91 |
+
"loss": 0.1266,
|
92 |
+
"step": 80
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 5.0,
|
96 |
+
"learning_rate": 4.04320987654321e-05,
|
97 |
+
"loss": 0.14,
|
98 |
+
"step": 90
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 5.0,
|
102 |
+
"eval_accuracy": 0.9764705882352941,
|
103 |
+
"eval_loss": 0.07778824865818024,
|
104 |
+
"eval_runtime": 5.263,
|
105 |
+
"eval_samples_per_second": 48.451,
|
106 |
+
"eval_steps_per_second": 1.52,
|
107 |
+
"step": 90
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 5.56,
|
111 |
+
"learning_rate": 3.888888888888889e-05,
|
112 |
+
"loss": 0.1186,
|
113 |
+
"step": 100
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 6.0,
|
117 |
+
"eval_accuracy": 0.9725490196078431,
|
118 |
+
"eval_loss": 0.08367796242237091,
|
119 |
+
"eval_runtime": 5.0122,
|
120 |
+
"eval_samples_per_second": 50.876,
|
121 |
+
"eval_steps_per_second": 1.596,
|
122 |
+
"step": 108
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 6.11,
|
126 |
+
"learning_rate": 3.734567901234568e-05,
|
127 |
+
"loss": 0.0878,
|
128 |
+
"step": 110
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 6.67,
|
132 |
+
"learning_rate": 3.580246913580247e-05,
|
133 |
+
"loss": 0.1088,
|
134 |
+
"step": 120
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 7.0,
|
138 |
+
"eval_accuracy": 0.9803921568627451,
|
139 |
+
"eval_loss": 0.06448379158973694,
|
140 |
+
"eval_runtime": 5.145,
|
141 |
+
"eval_samples_per_second": 49.562,
|
142 |
+
"eval_steps_per_second": 1.555,
|
143 |
+
"step": 126
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 7.22,
|
147 |
+
"learning_rate": 3.425925925925926e-05,
|
148 |
+
"loss": 0.087,
|
149 |
+
"step": 130
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 7.78,
|
153 |
+
"learning_rate": 3.271604938271605e-05,
|
154 |
+
"loss": 0.0789,
|
155 |
+
"step": 140
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 8.0,
|
159 |
+
"eval_accuracy": 0.9764705882352941,
|
160 |
+
"eval_loss": 0.0674787312746048,
|
161 |
+
"eval_runtime": 5.0792,
|
162 |
+
"eval_samples_per_second": 50.204,
|
163 |
+
"eval_steps_per_second": 1.575,
|
164 |
+
"step": 144
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 8.33,
|
168 |
+
"learning_rate": 3.117283950617284e-05,
|
169 |
+
"loss": 0.0685,
|
170 |
+
"step": 150
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 8.89,
|
174 |
+
"learning_rate": 2.962962962962963e-05,
|
175 |
+
"loss": 0.0644,
|
176 |
+
"step": 160
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 9.0,
|
180 |
+
"eval_accuracy": 0.9686274509803922,
|
181 |
+
"eval_loss": 0.09402623027563095,
|
182 |
+
"eval_runtime": 5.1415,
|
183 |
+
"eval_samples_per_second": 49.597,
|
184 |
+
"eval_steps_per_second": 1.556,
|
185 |
+
"step": 162
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 9.44,
|
189 |
+
"learning_rate": 2.8086419753086424e-05,
|
190 |
+
"loss": 0.0731,
|
191 |
+
"step": 170
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 10.0,
|
195 |
+
"learning_rate": 2.654320987654321e-05,
|
196 |
+
"loss": 0.0582,
|
197 |
+
"step": 180
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 10.0,
|
201 |
+
"eval_accuracy": 0.9725490196078431,
|
202 |
+
"eval_loss": 0.08792443573474884,
|
203 |
+
"eval_runtime": 5.0234,
|
204 |
+
"eval_samples_per_second": 50.762,
|
205 |
+
"eval_steps_per_second": 1.593,
|
206 |
+
"step": 180
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 10.56,
|
210 |
+
"learning_rate": 2.5e-05,
|
211 |
+
"loss": 0.0591,
|
212 |
+
"step": 190
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 11.0,
|
216 |
+
"eval_accuracy": 0.9686274509803922,
|
217 |
+
"eval_loss": 0.09348892420530319,
|
218 |
+
"eval_runtime": 4.9609,
|
219 |
+
"eval_samples_per_second": 51.402,
|
220 |
+
"eval_steps_per_second": 1.613,
|
221 |
+
"step": 198
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 11.11,
|
225 |
+
"learning_rate": 2.345679012345679e-05,
|
226 |
+
"loss": 0.0432,
|
227 |
+
"step": 200
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 11.67,
|
231 |
+
"learning_rate": 2.1913580246913582e-05,
|
232 |
+
"loss": 0.0538,
|
233 |
+
"step": 210
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 12.0,
|
237 |
+
"eval_accuracy": 0.9803921568627451,
|
238 |
+
"eval_loss": 0.054012518376111984,
|
239 |
+
"eval_runtime": 4.9341,
|
240 |
+
"eval_samples_per_second": 51.681,
|
241 |
+
"eval_steps_per_second": 1.621,
|
242 |
+
"step": 216
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 12.22,
|
246 |
+
"learning_rate": 2.037037037037037e-05,
|
247 |
+
"loss": 0.0471,
|
248 |
+
"step": 220
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 12.78,
|
252 |
+
"learning_rate": 1.8827160493827163e-05,
|
253 |
+
"loss": 0.0588,
|
254 |
+
"step": 230
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 13.0,
|
258 |
+
"eval_accuracy": 0.9686274509803922,
|
259 |
+
"eval_loss": 0.0725012868642807,
|
260 |
+
"eval_runtime": 5.0522,
|
261 |
+
"eval_samples_per_second": 50.473,
|
262 |
+
"eval_steps_per_second": 1.583,
|
263 |
+
"step": 234
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 13.33,
|
267 |
+
"learning_rate": 1.728395061728395e-05,
|
268 |
+
"loss": 0.0508,
|
269 |
+
"step": 240
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 13.89,
|
273 |
+
"learning_rate": 1.574074074074074e-05,
|
274 |
+
"loss": 0.0538,
|
275 |
+
"step": 250
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 14.0,
|
279 |
+
"eval_accuracy": 0.9764705882352941,
|
280 |
+
"eval_loss": 0.0636754184961319,
|
281 |
+
"eval_runtime": 5.0696,
|
282 |
+
"eval_samples_per_second": 50.3,
|
283 |
+
"eval_steps_per_second": 1.578,
|
284 |
+
"step": 252
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 14.44,
|
288 |
+
"learning_rate": 1.419753086419753e-05,
|
289 |
+
"loss": 0.056,
|
290 |
+
"step": 260
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 15.0,
|
294 |
+
"learning_rate": 1.2654320987654323e-05,
|
295 |
+
"loss": 0.0462,
|
296 |
+
"step": 270
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 15.0,
|
300 |
+
"eval_accuracy": 0.9725490196078431,
|
301 |
+
"eval_loss": 0.06937408447265625,
|
302 |
+
"eval_runtime": 5.0454,
|
303 |
+
"eval_samples_per_second": 50.541,
|
304 |
+
"eval_steps_per_second": 1.586,
|
305 |
+
"step": 270
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 15.56,
|
309 |
+
"learning_rate": 1.1111111111111112e-05,
|
310 |
+
"loss": 0.0352,
|
311 |
+
"step": 280
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 16.0,
|
315 |
+
"eval_accuracy": 0.9686274509803922,
|
316 |
+
"eval_loss": 0.07712557911872864,
|
317 |
+
"eval_runtime": 5.0258,
|
318 |
+
"eval_samples_per_second": 50.738,
|
319 |
+
"eval_steps_per_second": 1.592,
|
320 |
+
"step": 288
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 16.11,
|
324 |
+
"learning_rate": 9.5679012345679e-06,
|
325 |
+
"loss": 0.0469,
|
326 |
+
"step": 290
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 16.67,
|
330 |
+
"learning_rate": 8.02469135802469e-06,
|
331 |
+
"loss": 0.0536,
|
332 |
+
"step": 300
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 17.0,
|
336 |
+
"eval_accuracy": 0.9803921568627451,
|
337 |
+
"eval_loss": 0.06293778121471405,
|
338 |
+
"eval_runtime": 4.9305,
|
339 |
+
"eval_samples_per_second": 51.719,
|
340 |
+
"eval_steps_per_second": 1.623,
|
341 |
+
"step": 306
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 17.22,
|
345 |
+
"learning_rate": 6.481481481481481e-06,
|
346 |
+
"loss": 0.0317,
|
347 |
+
"step": 310
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 17.78,
|
351 |
+
"learning_rate": 4.938271604938272e-06,
|
352 |
+
"loss": 0.0403,
|
353 |
+
"step": 320
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 18.0,
|
357 |
+
"eval_accuracy": 0.9686274509803922,
|
358 |
+
"eval_loss": 0.09334510564804077,
|
359 |
+
"eval_runtime": 5.0623,
|
360 |
+
"eval_samples_per_second": 50.373,
|
361 |
+
"eval_steps_per_second": 1.58,
|
362 |
+
"step": 324
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 18.33,
|
366 |
+
"learning_rate": 3.3950617283950617e-06,
|
367 |
+
"loss": 0.036,
|
368 |
+
"step": 330
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 18.89,
|
372 |
+
"learning_rate": 1.8518518518518519e-06,
|
373 |
+
"loss": 0.0412,
|
374 |
+
"step": 340
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 19.0,
|
378 |
+
"eval_accuracy": 0.9725490196078431,
|
379 |
+
"eval_loss": 0.08482151478528976,
|
380 |
+
"eval_runtime": 4.9192,
|
381 |
+
"eval_samples_per_second": 51.838,
|
382 |
+
"eval_steps_per_second": 1.626,
|
383 |
+
"step": 342
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 19.44,
|
387 |
+
"learning_rate": 3.08641975308642e-07,
|
388 |
+
"loss": 0.029,
|
389 |
+
"step": 350
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 20.0,
|
393 |
+
"learning_rate": 0.0,
|
394 |
+
"loss": 0.0305,
|
395 |
+
"step": 360
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 20.0,
|
399 |
+
"eval_accuracy": 0.9725490196078431,
|
400 |
+
"eval_loss": 0.08195191621780396,
|
401 |
+
"eval_runtime": 5.0318,
|
402 |
+
"eval_samples_per_second": 50.677,
|
403 |
+
"eval_steps_per_second": 1.59,
|
404 |
+
"step": 360
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 20.0,
|
408 |
+
"step": 360,
|
409 |
+
"total_flos": 1.1677328181960376e+18,
|
410 |
+
"train_loss": 0.13230072516534064,
|
411 |
+
"train_runtime": 1894.9319,
|
412 |
+
"train_samples_per_second": 24.149,
|
413 |
+
"train_steps_per_second": 0.19
|
414 |
+
}
|
415 |
+
],
|
416 |
+
"max_steps": 360,
|
417 |
+
"num_train_epochs": 20,
|
418 |
+
"total_flos": 1.1677328181960376e+18,
|
419 |
+
"trial_name": null,
|
420 |
+
"trial_params": null
|
421 |
+
}
|