polejowska
commited on
Commit
•
28995c2
1
Parent(s):
3ba291c
End of training
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +393 -198
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.99,
|
3 |
+
"eval_accuracy": 0.9851851851851852,
|
4 |
+
"eval_loss": 0.044658709317445755,
|
5 |
+
"eval_runtime": 25.7468,
|
6 |
+
"eval_samples_per_second": 157.301,
|
7 |
+
"eval_steps_per_second": 4.933,
|
8 |
+
"total_flos": 2.347327658721411e+18,
|
9 |
+
"train_loss": 0.1689021515602968,
|
10 |
+
"train_runtime": 1731.9704,
|
11 |
+
"train_samples_per_second": 54.562,
|
12 |
+
"train_steps_per_second": 0.424
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.99,
|
3 |
+
"eval_accuracy": 0.9851851851851852,
|
4 |
+
"eval_loss": 0.044658709317445755,
|
5 |
+
"eval_runtime": 25.7468,
|
6 |
+
"eval_samples_per_second": 157.301,
|
7 |
+
"eval_steps_per_second": 4.933
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.99,
|
3 |
+
"total_flos": 2.347327658721411e+18,
|
4 |
+
"train_loss": 0.1689021515602968,
|
5 |
+
"train_runtime": 1731.9704,
|
6 |
+
"train_samples_per_second": 54.562,
|
7 |
+
"train_steps_per_second": 0.424
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,313 +1,508 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
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.
|
12 |
-
"learning_rate":
|
13 |
-
"loss": 2.
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
-
"epoch": 0.
|
18 |
-
"learning_rate":
|
19 |
-
"loss":
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
-
"epoch": 0.
|
24 |
-
"learning_rate":
|
25 |
-
"loss": 1.
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
-
"epoch": 0.
|
30 |
-
"
|
31 |
-
"
|
32 |
-
"eval_runtime": 4.8236,
|
33 |
-
"eval_samples_per_second": 156.731,
|
34 |
-
"eval_steps_per_second": 4.976,
|
35 |
-
"step": 33
|
36 |
-
},
|
37 |
-
{
|
38 |
-
"epoch": 1.21,
|
39 |
-
"learning_rate": 4.882154882154882e-05,
|
40 |
-
"loss": 0.5066,
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
-
"epoch":
|
45 |
-
"learning_rate":
|
46 |
-
"loss": 0.
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
-
"epoch":
|
51 |
-
"learning_rate": 4.
|
52 |
-
"loss": 0.
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
-
"epoch":
|
57 |
-
"
|
58 |
-
"
|
59 |
-
"eval_runtime": 4.9657,
|
60 |
-
"eval_samples_per_second": 152.245,
|
61 |
-
"eval_steps_per_second": 4.833,
|
62 |
-
"step": 66
|
63 |
-
},
|
64 |
-
{
|
65 |
-
"epoch": 2.12,
|
66 |
-
"learning_rate": 4.3771043771043774e-05,
|
67 |
-
"loss": 0.1839,
|
68 |
"step": 70
|
69 |
},
|
70 |
{
|
71 |
-
"epoch":
|
72 |
-
"learning_rate": 4.
|
73 |
-
"loss": 0.
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
-
"epoch":
|
78 |
-
"learning_rate": 4.
|
79 |
-
"loss": 0.
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
-
"epoch":
|
84 |
-
"
|
85 |
-
"
|
86 |
-
"eval_runtime": 4.8701,
|
87 |
-
"eval_samples_per_second": 155.233,
|
88 |
-
"eval_steps_per_second": 4.928,
|
89 |
-
"step": 99
|
90 |
-
},
|
91 |
-
{
|
92 |
-
"epoch": 3.03,
|
93 |
-
"learning_rate": 3.872053872053872e-05,
|
94 |
-
"loss": 0.105,
|
95 |
"step": 100
|
96 |
},
|
97 |
{
|
98 |
-
"epoch":
|
99 |
-
"learning_rate":
|
100 |
-
"loss": 0.
|
101 |
"step": 110
|
102 |
},
|
103 |
{
|
104 |
-
"epoch":
|
105 |
-
"learning_rate":
|
106 |
-
"loss": 0.
|
107 |
"step": 120
|
108 |
},
|
109 |
{
|
110 |
-
"epoch":
|
111 |
-
"learning_rate":
|
112 |
-
"loss": 0.
|
113 |
"step": 130
|
114 |
},
|
115 |
{
|
116 |
-
"epoch":
|
117 |
-
"
|
118 |
-
"
|
119 |
-
"
|
120 |
-
"eval_samples_per_second": 118.921,
|
121 |
-
"eval_steps_per_second": 3.775,
|
122 |
-
"step": 132
|
123 |
},
|
124 |
{
|
125 |
-
"epoch":
|
126 |
-
"
|
127 |
-
"
|
128 |
-
"
|
|
|
|
|
|
|
129 |
},
|
130 |
{
|
131 |
-
"epoch":
|
132 |
-
"learning_rate":
|
133 |
-
"loss": 0.
|
134 |
"step": 150
|
135 |
},
|
136 |
{
|
137 |
-
"epoch":
|
138 |
-
"learning_rate":
|
139 |
-
"loss": 0.
|
140 |
"step": 160
|
141 |
},
|
142 |
{
|
143 |
-
"epoch":
|
144 |
-
"
|
145 |
-
"
|
146 |
-
"eval_runtime": 5.5251,
|
147 |
-
"eval_samples_per_second": 136.831,
|
148 |
-
"eval_steps_per_second": 4.344,
|
149 |
-
"step": 165
|
150 |
-
},
|
151 |
-
{
|
152 |
-
"epoch": 5.15,
|
153 |
-
"learning_rate": 2.6936026936026937e-05,
|
154 |
-
"loss": 0.0559,
|
155 |
"step": 170
|
156 |
},
|
157 |
{
|
158 |
-
"epoch":
|
159 |
-
"learning_rate":
|
160 |
-
"loss": 0.
|
161 |
"step": 180
|
162 |
},
|
163 |
{
|
164 |
-
"epoch":
|
165 |
-
"learning_rate":
|
166 |
-
"loss": 0.
|
167 |
"step": 190
|
168 |
},
|
169 |
{
|
170 |
-
"epoch":
|
171 |
-
"
|
172 |
-
"
|
173 |
-
"eval_runtime": 5.3143,
|
174 |
-
"eval_samples_per_second": 142.259,
|
175 |
-
"eval_steps_per_second": 4.516,
|
176 |
-
"step": 198
|
177 |
-
},
|
178 |
-
{
|
179 |
-
"epoch": 6.06,
|
180 |
-
"learning_rate": 2.1885521885521887e-05,
|
181 |
-
"loss": 0.0514,
|
182 |
"step": 200
|
183 |
},
|
184 |
{
|
185 |
-
"epoch":
|
186 |
-
"learning_rate":
|
187 |
-
"loss": 0.
|
188 |
"step": 210
|
189 |
},
|
190 |
{
|
191 |
-
"epoch":
|
192 |
-
"learning_rate":
|
193 |
-
"loss": 0.
|
194 |
"step": 220
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
-
"learning_rate":
|
199 |
-
"loss": 0.
|
200 |
"step": 230
|
201 |
},
|
202 |
{
|
203 |
-
"epoch":
|
204 |
-
"
|
205 |
-
"
|
206 |
-
"eval_runtime": 5.0836,
|
207 |
-
"eval_samples_per_second": 148.714,
|
208 |
-
"eval_steps_per_second": 4.721,
|
209 |
-
"step": 231
|
210 |
-
},
|
211 |
-
{
|
212 |
-
"epoch": 7.27,
|
213 |
-
"learning_rate": 1.5151515151515153e-05,
|
214 |
-
"loss": 0.0263,
|
215 |
"step": 240
|
216 |
},
|
217 |
{
|
218 |
-
"epoch": 7
|
219 |
-
"learning_rate":
|
220 |
-
"loss": 0.
|
221 |
"step": 250
|
222 |
},
|
223 |
{
|
224 |
-
"epoch":
|
225 |
-
"learning_rate":
|
226 |
-
"loss": 0.
|
227 |
"step": 260
|
228 |
},
|
229 |
{
|
230 |
-
"epoch":
|
231 |
-
"
|
232 |
-
"
|
233 |
-
"eval_runtime": 5.0567,
|
234 |
-
"eval_samples_per_second": 149.505,
|
235 |
-
"eval_steps_per_second": 4.746,
|
236 |
-
"step": 264
|
237 |
-
},
|
238 |
-
{
|
239 |
-
"epoch": 8.18,
|
240 |
-
"learning_rate": 1.0101010101010101e-05,
|
241 |
-
"loss": 0.0193,
|
242 |
"step": 270
|
243 |
},
|
244 |
{
|
245 |
-
"epoch":
|
246 |
-
"learning_rate":
|
247 |
-
"loss": 0.
|
248 |
"step": 280
|
249 |
},
|
250 |
{
|
251 |
-
"epoch":
|
252 |
-
"learning_rate":
|
253 |
-
"loss": 0.
|
254 |
"step": 290
|
255 |
},
|
256 |
{
|
257 |
-
"epoch":
|
258 |
-
"eval_accuracy": 0.
|
259 |
-
"eval_loss": 0.
|
260 |
-
"eval_runtime":
|
261 |
-
"eval_samples_per_second": 156.
|
262 |
-
"eval_steps_per_second": 4.
|
263 |
-
"step":
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"learning_rate":
|
268 |
-
"loss": 0.
|
269 |
"step": 300
|
270 |
},
|
271 |
{
|
272 |
-
"epoch":
|
273 |
-
"learning_rate": 3.
|
274 |
-
"loss": 0.
|
275 |
"step": 310
|
276 |
},
|
277 |
{
|
278 |
-
"epoch":
|
279 |
-
"learning_rate":
|
280 |
-
"loss": 0.
|
281 |
"step": 320
|
282 |
},
|
283 |
{
|
284 |
-
"epoch":
|
285 |
-
"learning_rate":
|
286 |
-
"loss": 0.
|
287 |
"step": 330
|
288 |
},
|
289 |
{
|
290 |
-
"epoch":
|
291 |
-
"
|
292 |
-
"
|
293 |
-
"
|
294 |
-
|
295 |
-
|
296 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
297 |
},
|
298 |
{
|
299 |
-
"epoch":
|
300 |
-
"step":
|
301 |
-
"total_flos":
|
302 |
-
"train_loss": 0.
|
303 |
-
"train_runtime":
|
304 |
-
"train_samples_per_second":
|
305 |
-
"train_steps_per_second": 0.
|
306 |
}
|
307 |
],
|
308 |
-
"max_steps":
|
309 |
-
"num_train_epochs":
|
310 |
-
"total_flos":
|
311 |
"trial_name": null,
|
312 |
"trial_params": null
|
313 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9851851851851852,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-588",
|
4 |
+
"epoch": 4.99492385786802,
|
5 |
+
"global_step": 735,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.07,
|
12 |
+
"learning_rate": 6.7567567567567575e-06,
|
13 |
+
"loss": 2.2699,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.14,
|
18 |
+
"learning_rate": 1.3513513513513515e-05,
|
19 |
+
"loss": 2.0753,
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
+
"epoch": 0.2,
|
24 |
+
"learning_rate": 2.0270270270270273e-05,
|
25 |
+
"loss": 1.6254,
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 0.27,
|
30 |
+
"learning_rate": 2.702702702702703e-05,
|
31 |
+
"loss": 0.9696,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 0.34,
|
36 |
+
"learning_rate": 3.3783783783783784e-05,
|
37 |
+
"loss": 0.529,
|
38 |
"step": 50
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.41,
|
42 |
+
"learning_rate": 4.0540540540540545e-05,
|
43 |
+
"loss": 0.358,
|
44 |
"step": 60
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.47,
|
48 |
+
"learning_rate": 4.72972972972973e-05,
|
49 |
+
"loss": 0.24,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
50 |
"step": 70
|
51 |
},
|
52 |
{
|
53 |
+
"epoch": 0.54,
|
54 |
+
"learning_rate": 4.9546142208774585e-05,
|
55 |
+
"loss": 0.2678,
|
56 |
"step": 80
|
57 |
},
|
58 |
{
|
59 |
+
"epoch": 0.61,
|
60 |
+
"learning_rate": 4.878971255673222e-05,
|
61 |
+
"loss": 0.2537,
|
62 |
"step": 90
|
63 |
},
|
64 |
{
|
65 |
+
"epoch": 0.68,
|
66 |
+
"learning_rate": 4.803328290468986e-05,
|
67 |
+
"loss": 0.1921,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
68 |
"step": 100
|
69 |
},
|
70 |
{
|
71 |
+
"epoch": 0.74,
|
72 |
+
"learning_rate": 4.7276853252647505e-05,
|
73 |
+
"loss": 0.1691,
|
74 |
"step": 110
|
75 |
},
|
76 |
{
|
77 |
+
"epoch": 0.81,
|
78 |
+
"learning_rate": 4.652042360060514e-05,
|
79 |
+
"loss": 0.1716,
|
80 |
"step": 120
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 0.88,
|
84 |
+
"learning_rate": 4.576399394856278e-05,
|
85 |
+
"loss": 0.1516,
|
86 |
"step": 130
|
87 |
},
|
88 |
{
|
89 |
+
"epoch": 0.95,
|
90 |
+
"learning_rate": 4.5007564296520425e-05,
|
91 |
+
"loss": 0.1547,
|
92 |
+
"step": 140
|
|
|
|
|
|
|
93 |
},
|
94 |
{
|
95 |
+
"epoch": 0.99,
|
96 |
+
"eval_accuracy": 0.9711111111111111,
|
97 |
+
"eval_loss": 0.09559287130832672,
|
98 |
+
"eval_runtime": 38.4532,
|
99 |
+
"eval_samples_per_second": 105.323,
|
100 |
+
"eval_steps_per_second": 3.303,
|
101 |
+
"step": 147
|
102 |
},
|
103 |
{
|
104 |
+
"epoch": 1.02,
|
105 |
+
"learning_rate": 4.425113464447806e-05,
|
106 |
+
"loss": 0.1434,
|
107 |
"step": 150
|
108 |
},
|
109 |
{
|
110 |
+
"epoch": 1.09,
|
111 |
+
"learning_rate": 4.34947049924357e-05,
|
112 |
+
"loss": 0.0951,
|
113 |
"step": 160
|
114 |
},
|
115 |
{
|
116 |
+
"epoch": 1.16,
|
117 |
+
"learning_rate": 4.2738275340393345e-05,
|
118 |
+
"loss": 0.1042,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
119 |
"step": 170
|
120 |
},
|
121 |
{
|
122 |
+
"epoch": 1.22,
|
123 |
+
"learning_rate": 4.198184568835098e-05,
|
124 |
+
"loss": 0.0972,
|
125 |
"step": 180
|
126 |
},
|
127 |
{
|
128 |
+
"epoch": 1.29,
|
129 |
+
"learning_rate": 4.122541603630862e-05,
|
130 |
+
"loss": 0.0714,
|
131 |
"step": 190
|
132 |
},
|
133 |
{
|
134 |
+
"epoch": 1.36,
|
135 |
+
"learning_rate": 4.0468986384266265e-05,
|
136 |
+
"loss": 0.1095,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
137 |
"step": 200
|
138 |
},
|
139 |
{
|
140 |
+
"epoch": 1.43,
|
141 |
+
"learning_rate": 3.97125567322239e-05,
|
142 |
+
"loss": 0.0779,
|
143 |
"step": 210
|
144 |
},
|
145 |
{
|
146 |
+
"epoch": 1.49,
|
147 |
+
"learning_rate": 3.895612708018154e-05,
|
148 |
+
"loss": 0.0869,
|
149 |
"step": 220
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 1.56,
|
153 |
+
"learning_rate": 3.8199697428139184e-05,
|
154 |
+
"loss": 0.0936,
|
155 |
"step": 230
|
156 |
},
|
157 |
{
|
158 |
+
"epoch": 1.63,
|
159 |
+
"learning_rate": 3.744326777609682e-05,
|
160 |
+
"loss": 0.092,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
161 |
"step": 240
|
162 |
},
|
163 |
{
|
164 |
+
"epoch": 1.7,
|
165 |
+
"learning_rate": 3.668683812405446e-05,
|
166 |
+
"loss": 0.1006,
|
167 |
"step": 250
|
168 |
},
|
169 |
{
|
170 |
+
"epoch": 1.76,
|
171 |
+
"learning_rate": 3.5930408472012104e-05,
|
172 |
+
"loss": 0.0909,
|
173 |
"step": 260
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 1.83,
|
177 |
+
"learning_rate": 3.517397881996974e-05,
|
178 |
+
"loss": 0.0705,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
179 |
"step": 270
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 1.9,
|
183 |
+
"learning_rate": 3.441754916792738e-05,
|
184 |
+
"loss": 0.0935,
|
185 |
"step": 280
|
186 |
},
|
187 |
{
|
188 |
+
"epoch": 1.97,
|
189 |
+
"learning_rate": 3.3661119515885024e-05,
|
190 |
+
"loss": 0.0707,
|
191 |
"step": 290
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 1.99,
|
195 |
+
"eval_accuracy": 0.9733333333333334,
|
196 |
+
"eval_loss": 0.07587520033121109,
|
197 |
+
"eval_runtime": 25.8049,
|
198 |
+
"eval_samples_per_second": 156.947,
|
199 |
+
"eval_steps_per_second": 4.922,
|
200 |
+
"step": 294
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 2.04,
|
204 |
+
"learning_rate": 3.290468986384266e-05,
|
205 |
+
"loss": 0.0665,
|
206 |
"step": 300
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 2.11,
|
210 |
+
"learning_rate": 3.21482602118003e-05,
|
211 |
+
"loss": 0.0556,
|
212 |
"step": 310
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 2.18,
|
216 |
+
"learning_rate": 3.1391830559757944e-05,
|
217 |
+
"loss": 0.0517,
|
218 |
"step": 320
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 2.24,
|
222 |
+
"learning_rate": 3.063540090771558e-05,
|
223 |
+
"loss": 0.0705,
|
224 |
"step": 330
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 2.31,
|
228 |
+
"learning_rate": 2.9878971255673223e-05,
|
229 |
+
"loss": 0.071,
|
230 |
+
"step": 340
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.38,
|
234 |
+
"learning_rate": 2.9122541603630864e-05,
|
235 |
+
"loss": 0.0466,
|
236 |
+
"step": 350
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 2.45,
|
240 |
+
"learning_rate": 2.83661119515885e-05,
|
241 |
+
"loss": 0.0351,
|
242 |
+
"step": 360
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 2.51,
|
246 |
+
"learning_rate": 2.7609682299546143e-05,
|
247 |
+
"loss": 0.0698,
|
248 |
+
"step": 370
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.58,
|
252 |
+
"learning_rate": 2.6853252647503784e-05,
|
253 |
+
"loss": 0.0423,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.65,
|
258 |
+
"learning_rate": 2.609682299546142e-05,
|
259 |
+
"loss": 0.0475,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.72,
|
264 |
+
"learning_rate": 2.5340393343419063e-05,
|
265 |
+
"loss": 0.0491,
|
266 |
+
"step": 400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.79,
|
270 |
+
"learning_rate": 2.45839636913767e-05,
|
271 |
+
"loss": 0.0403,
|
272 |
+
"step": 410
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.85,
|
276 |
+
"learning_rate": 2.382753403933434e-05,
|
277 |
+
"loss": 0.0569,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.92,
|
282 |
+
"learning_rate": 2.3071104387291982e-05,
|
283 |
+
"loss": 0.0509,
|
284 |
+
"step": 430
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.99,
|
288 |
+
"learning_rate": 2.231467473524962e-05,
|
289 |
+
"loss": 0.0537,
|
290 |
+
"step": 440
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.99,
|
294 |
+
"eval_accuracy": 0.9767901234567902,
|
295 |
+
"eval_loss": 0.06802858412265778,
|
296 |
+
"eval_runtime": 35.3363,
|
297 |
+
"eval_samples_per_second": 114.613,
|
298 |
+
"eval_steps_per_second": 3.594,
|
299 |
+
"step": 441
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 3.06,
|
303 |
+
"learning_rate": 2.155824508320726e-05,
|
304 |
+
"loss": 0.0502,
|
305 |
+
"step": 450
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 3.13,
|
309 |
+
"learning_rate": 2.0801815431164902e-05,
|
310 |
+
"loss": 0.0452,
|
311 |
+
"step": 460
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 3.2,
|
315 |
+
"learning_rate": 2.004538577912254e-05,
|
316 |
+
"loss": 0.0352,
|
317 |
+
"step": 470
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.26,
|
321 |
+
"learning_rate": 1.928895612708018e-05,
|
322 |
+
"loss": 0.0385,
|
323 |
+
"step": 480
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.33,
|
327 |
+
"learning_rate": 1.8532526475037822e-05,
|
328 |
+
"loss": 0.0441,
|
329 |
+
"step": 490
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.4,
|
333 |
+
"learning_rate": 1.777609682299546e-05,
|
334 |
+
"loss": 0.0394,
|
335 |
+
"step": 500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 3.47,
|
339 |
+
"learning_rate": 1.70196671709531e-05,
|
340 |
+
"loss": 0.0351,
|
341 |
+
"step": 510
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 3.53,
|
345 |
+
"learning_rate": 1.6263237518910742e-05,
|
346 |
+
"loss": 0.0251,
|
347 |
+
"step": 520
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 3.6,
|
351 |
+
"learning_rate": 1.550680786686838e-05,
|
352 |
+
"loss": 0.044,
|
353 |
+
"step": 530
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 3.67,
|
357 |
+
"learning_rate": 1.4750378214826023e-05,
|
358 |
+
"loss": 0.0246,
|
359 |
+
"step": 540
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 3.74,
|
363 |
+
"learning_rate": 1.3993948562783662e-05,
|
364 |
+
"loss": 0.0252,
|
365 |
+
"step": 550
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 3.81,
|
369 |
+
"learning_rate": 1.3237518910741301e-05,
|
370 |
+
"loss": 0.0305,
|
371 |
+
"step": 560
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.87,
|
375 |
+
"learning_rate": 1.248108925869894e-05,
|
376 |
+
"loss": 0.0219,
|
377 |
+
"step": 570
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.94,
|
381 |
+
"learning_rate": 1.172465960665658e-05,
|
382 |
+
"loss": 0.0302,
|
383 |
+
"step": 580
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.99,
|
387 |
+
"eval_accuracy": 0.9851851851851852,
|
388 |
+
"eval_loss": 0.044658709317445755,
|
389 |
+
"eval_runtime": 25.6563,
|
390 |
+
"eval_samples_per_second": 157.856,
|
391 |
+
"eval_steps_per_second": 4.95,
|
392 |
+
"step": 588
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 4.01,
|
396 |
+
"learning_rate": 1.0968229954614221e-05,
|
397 |
+
"loss": 0.0154,
|
398 |
+
"step": 590
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 4.08,
|
402 |
+
"learning_rate": 1.021180030257186e-05,
|
403 |
+
"loss": 0.0225,
|
404 |
+
"step": 600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 4.15,
|
408 |
+
"learning_rate": 9.4553706505295e-06,
|
409 |
+
"loss": 0.0181,
|
410 |
+
"step": 610
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 4.22,
|
414 |
+
"learning_rate": 8.698940998487141e-06,
|
415 |
+
"loss": 0.0199,
|
416 |
+
"step": 620
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 4.28,
|
420 |
+
"learning_rate": 7.94251134644478e-06,
|
421 |
+
"loss": 0.0254,
|
422 |
+
"step": 630
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 4.35,
|
426 |
+
"learning_rate": 7.186081694402421e-06,
|
427 |
+
"loss": 0.0244,
|
428 |
+
"step": 640
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.42,
|
432 |
+
"learning_rate": 6.429652042360061e-06,
|
433 |
+
"loss": 0.0181,
|
434 |
+
"step": 650
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 4.49,
|
438 |
+
"learning_rate": 5.6732223903177e-06,
|
439 |
+
"loss": 0.0154,
|
440 |
+
"step": 660
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 4.55,
|
444 |
+
"learning_rate": 4.9167927382753406e-06,
|
445 |
+
"loss": 0.0164,
|
446 |
+
"step": 670
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 4.62,
|
450 |
+
"learning_rate": 4.16036308623298e-06,
|
451 |
+
"loss": 0.0111,
|
452 |
+
"step": 680
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 4.69,
|
456 |
+
"learning_rate": 3.40393343419062e-06,
|
457 |
+
"loss": 0.0199,
|
458 |
+
"step": 690
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 4.76,
|
462 |
+
"learning_rate": 2.64750378214826e-06,
|
463 |
+
"loss": 0.0191,
|
464 |
+
"step": 700
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 4.83,
|
468 |
+
"learning_rate": 1.8910741301059002e-06,
|
469 |
+
"loss": 0.0171,
|
470 |
+
"step": 710
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 4.89,
|
474 |
+
"learning_rate": 1.13464447806354e-06,
|
475 |
+
"loss": 0.0164,
|
476 |
+
"step": 720
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 4.96,
|
480 |
+
"learning_rate": 3.7821482602118004e-07,
|
481 |
+
"loss": 0.0225,
|
482 |
+
"step": 730
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 4.99,
|
486 |
+
"eval_accuracy": 0.9837037037037037,
|
487 |
+
"eval_loss": 0.048928551375865936,
|
488 |
+
"eval_runtime": 25.2637,
|
489 |
+
"eval_samples_per_second": 160.309,
|
490 |
+
"eval_steps_per_second": 5.027,
|
491 |
+
"step": 735
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 4.99,
|
495 |
+
"step": 735,
|
496 |
+
"total_flos": 2.347327658721411e+18,
|
497 |
+
"train_loss": 0.1689021515602968,
|
498 |
+
"train_runtime": 1731.9704,
|
499 |
+
"train_samples_per_second": 54.562,
|
500 |
+
"train_steps_per_second": 0.424
|
501 |
}
|
502 |
],
|
503 |
+
"max_steps": 735,
|
504 |
+
"num_train_epochs": 5,
|
505 |
+
"total_flos": 2.347327658721411e+18,
|
506 |
"trial_name": null,
|
507 |
"trial_params": null
|
508 |
}
|