ahmedALM1221
commited on
Commit
•
3e8a24b
1
Parent(s):
125964e
End of training
Browse files
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 0.8795454545454545,
|
4 |
"eval_loss": 0.3292839825153351,
|
5 |
"eval_runtime": 11.0507,
|
6 |
"eval_samples_per_second": 79.633,
|
7 |
"eval_steps_per_second": 4.977,
|
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": 10.0,
|
3 |
"eval_accuracy": 0.8795454545454545,
|
4 |
"eval_loss": 0.3292839825153351,
|
5 |
"eval_runtime": 11.0507,
|
6 |
"eval_samples_per_second": 79.633,
|
7 |
"eval_steps_per_second": 4.977,
|
8 |
+
"total_flos": 8.960328656655483e+18,
|
9 |
+
"train_loss": 0.807003553578111,
|
10 |
+
"train_runtime": 6787.6894,
|
11 |
+
"train_samples_per_second": 5.732,
|
12 |
+
"train_steps_per_second": 0.09
|
13 |
}
|
runs/Jul05_16-55-02_c8d5d7484861/events.out.tfevents.1688583640.c8d5d7484861.2170.7
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b8d568d9f820c093e6bbb55d7022f1cd7e089471633a582df87bcb6af8832e3
|
3 |
+
size 456
|
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": 10.0,
|
3 |
+
"total_flos": 8.960328656655483e+18,
|
4 |
+
"train_loss": 0.807003553578111,
|
5 |
+
"train_runtime": 6787.6894,
|
6 |
+
"train_samples_per_second": 5.732,
|
7 |
+
"train_steps_per_second": 0.09
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,277 +1,481 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-eurosat-50/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":
|
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":
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
-
"epoch": 0.
|
30 |
-
"learning_rate":
|
31 |
-
"loss":
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
-
"epoch": 0.
|
36 |
-
"learning_rate":
|
37 |
-
"loss":
|
38 |
"step": 50
|
39 |
},
|
40 |
{
|
41 |
-
"epoch":
|
42 |
-
"
|
43 |
-
"
|
44 |
-
"
|
45 |
-
"eval_samples_per_second": 80.581,
|
46 |
-
"eval_steps_per_second": 5.036,
|
47 |
-
"step": 55
|
48 |
},
|
49 |
{
|
50 |
-
"epoch": 1.
|
51 |
-
"
|
52 |
-
"
|
53 |
-
"
|
|
|
|
|
|
|
54 |
},
|
55 |
{
|
56 |
-
"epoch": 1.
|
57 |
-
"learning_rate":
|
58 |
-
"loss":
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
-
"epoch": 1.
|
63 |
-
"learning_rate":
|
64 |
-
"loss":
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 1.
|
69 |
-
"learning_rate":
|
70 |
-
"loss":
|
71 |
"step": 90
|
72 |
},
|
73 |
{
|
74 |
-
"epoch": 1.
|
75 |
-
"learning_rate":
|
76 |
-
"loss":
|
77 |
"step": 100
|
78 |
},
|
79 |
{
|
80 |
-
"epoch":
|
81 |
-
"learning_rate":
|
82 |
-
"loss":
|
83 |
"step": 110
|
84 |
},
|
85 |
{
|
86 |
-
"epoch":
|
87 |
-
"
|
88 |
-
"
|
89 |
-
"
|
90 |
-
"eval_samples_per_second": 80.65,
|
91 |
-
"eval_steps_per_second": 5.041,
|
92 |
-
"step": 110
|
93 |
},
|
94 |
{
|
95 |
-
"epoch": 2.
|
96 |
-
"
|
97 |
-
"
|
98 |
-
"
|
|
|
|
|
|
|
99 |
},
|
100 |
{
|
101 |
-
"epoch": 2.
|
102 |
-
"learning_rate":
|
103 |
-
"loss":
|
104 |
"step": 130
|
105 |
},
|
106 |
{
|
107 |
-
"epoch": 2.
|
108 |
-
"learning_rate":
|
109 |
-
"loss":
|
110 |
"step": 140
|
111 |
},
|
112 |
{
|
113 |
-
"epoch": 2.
|
114 |
-
"learning_rate":
|
115 |
-
"loss":
|
116 |
"step": 150
|
117 |
},
|
118 |
{
|
119 |
-
"epoch": 2.
|
120 |
-
"learning_rate":
|
121 |
-
"loss":
|
122 |
"step": 160
|
123 |
},
|
124 |
{
|
125 |
-
"epoch":
|
126 |
-
"
|
127 |
-
"
|
128 |
-
"eval_runtime": 11.069,
|
129 |
-
"eval_samples_per_second": 79.501,
|
130 |
-
"eval_steps_per_second": 4.969,
|
131 |
-
"step": 165
|
132 |
-
},
|
133 |
-
{
|
134 |
-
"epoch": 3.09,
|
135 |
-
"learning_rate": 9.696969696969698e-06,
|
136 |
-
"loss": 0.3096,
|
137 |
"step": 170
|
138 |
},
|
139 |
{
|
140 |
-
"epoch":
|
141 |
-
"learning_rate":
|
142 |
-
"loss": 0.
|
143 |
"step": 180
|
144 |
},
|
145 |
{
|
146 |
-
"epoch": 3.
|
147 |
-
"
|
148 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
149 |
"step": 190
|
150 |
},
|
151 |
{
|
152 |
-
"epoch": 3.
|
153 |
-
"learning_rate":
|
154 |
-
"loss": 0.
|
155 |
"step": 200
|
156 |
},
|
157 |
{
|
158 |
-
"epoch": 3.
|
159 |
-
"learning_rate":
|
160 |
-
"loss": 0.
|
161 |
"step": 210
|
162 |
},
|
163 |
{
|
164 |
-
"epoch":
|
165 |
-
"learning_rate":
|
166 |
-
"loss": 0.
|
167 |
-
"step": 220
|
168 |
-
},
|
169 |
-
{
|
170 |
-
"epoch": 4.0,
|
171 |
-
"eval_accuracy": 0.9397727272727273,
|
172 |
-
"eval_loss": 0.19657106697559357,
|
173 |
-
"eval_runtime": 10.9849,
|
174 |
-
"eval_samples_per_second": 80.11,
|
175 |
-
"eval_steps_per_second": 5.007,
|
176 |
"step": 220
|
177 |
},
|
178 |
{
|
179 |
-
"epoch":
|
180 |
-
"learning_rate":
|
181 |
-
"loss": 0.
|
182 |
"step": 230
|
183 |
},
|
184 |
{
|
185 |
-
"epoch":
|
186 |
-
"learning_rate":
|
187 |
-
"loss": 0.
|
188 |
"step": 240
|
189 |
},
|
190 |
{
|
191 |
-
"epoch": 4.
|
192 |
-
"
|
193 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
194 |
"step": 250
|
195 |
},
|
196 |
{
|
197 |
-
"epoch": 4.
|
198 |
-
"learning_rate":
|
199 |
-
"loss": 0.
|
200 |
"step": 260
|
201 |
},
|
202 |
{
|
203 |
-
"epoch": 4.
|
204 |
-
"learning_rate":
|
205 |
-
"loss": 0.
|
206 |
"step": 270
|
207 |
},
|
208 |
{
|
209 |
-
"epoch":
|
210 |
-
"
|
211 |
-
"
|
212 |
-
"eval_runtime": 10.9353,
|
213 |
-
"eval_samples_per_second": 80.474,
|
214 |
-
"eval_steps_per_second": 5.03,
|
215 |
-
"step": 275
|
216 |
-
},
|
217 |
-
{
|
218 |
-
"epoch": 5.09,
|
219 |
-
"learning_rate": 3.0303030303030305e-06,
|
220 |
-
"loss": 0.219,
|
221 |
"step": 280
|
222 |
},
|
223 |
{
|
224 |
-
"epoch":
|
225 |
-
"learning_rate":
|
226 |
-
"loss": 0.
|
227 |
"step": 290
|
228 |
},
|
229 |
{
|
230 |
-
"epoch":
|
231 |
-
"learning_rate":
|
232 |
-
"loss": 0.
|
233 |
"step": 300
|
234 |
},
|
235 |
{
|
236 |
-
"epoch": 5.
|
237 |
-
"
|
238 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
239 |
"step": 310
|
240 |
},
|
241 |
{
|
242 |
-
"epoch": 5.
|
243 |
-
"learning_rate":
|
244 |
-
"loss": 0.
|
245 |
"step": 320
|
246 |
},
|
247 |
{
|
248 |
-
"epoch":
|
249 |
-
"learning_rate":
|
250 |
-
"loss": 0.
|
251 |
"step": 330
|
252 |
},
|
253 |
{
|
254 |
-
"epoch":
|
255 |
-
"
|
256 |
-
"
|
257 |
-
"
|
258 |
-
|
259 |
-
|
260 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
261 |
},
|
262 |
{
|
263 |
"epoch": 6.0,
|
264 |
-
"
|
265 |
-
"
|
266 |
-
"
|
267 |
-
"
|
268 |
-
"
|
269 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
270 |
}
|
271 |
],
|
272 |
-
"max_steps":
|
273 |
-
"num_train_epochs":
|
274 |
-
"total_flos":
|
275 |
"trial_name": null,
|
276 |
"trial_params": null
|
277 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9732785200411099,
|
3 |
+
"best_model_checkpoint": "swinv2-large-patch4-window12to16-192to256-22kto1k-ft-finetuned-eurosat-50/checkpoint-549",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"global_step": 610,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.16,
|
12 |
+
"learning_rate": 3.278688524590164e-07,
|
13 |
+
"loss": 2.1255,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.33,
|
18 |
+
"learning_rate": 6.557377049180328e-07,
|
19 |
+
"loss": 2.045,
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
+
"epoch": 0.49,
|
24 |
+
"learning_rate": 9.836065573770493e-07,
|
25 |
+
"loss": 2.0287,
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 0.66,
|
30 |
+
"learning_rate": 1.3114754098360657e-06,
|
31 |
+
"loss": 2.0054,
|
32 |
"step": 40
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 0.82,
|
36 |
+
"learning_rate": 1.6393442622950819e-06,
|
37 |
+
"loss": 1.9418,
|
38 |
"step": 50
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.98,
|
42 |
+
"learning_rate": 1.9672131147540985e-06,
|
43 |
+
"loss": 1.9035,
|
44 |
+
"step": 60
|
|
|
|
|
|
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 1.0,
|
48 |
+
"eval_accuracy": 0.27132579650565264,
|
49 |
+
"eval_loss": 1.8945504426956177,
|
50 |
+
"eval_runtime": 12.371,
|
51 |
+
"eval_samples_per_second": 78.652,
|
52 |
+
"eval_steps_per_second": 4.931,
|
53 |
+
"step": 61
|
54 |
},
|
55 |
{
|
56 |
+
"epoch": 1.15,
|
57 |
+
"learning_rate": 2.295081967213115e-06,
|
58 |
+
"loss": 1.8717,
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
+
"epoch": 1.31,
|
63 |
+
"learning_rate": 2.6229508196721314e-06,
|
64 |
+
"loss": 1.8202,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 1.48,
|
69 |
+
"learning_rate": 2.9508196721311478e-06,
|
70 |
+
"loss": 1.7631,
|
71 |
"step": 90
|
72 |
},
|
73 |
{
|
74 |
+
"epoch": 1.64,
|
75 |
+
"learning_rate": 3.2786885245901638e-06,
|
76 |
+
"loss": 1.7051,
|
77 |
"step": 100
|
78 |
},
|
79 |
{
|
80 |
+
"epoch": 1.8,
|
81 |
+
"learning_rate": 3.6065573770491806e-06,
|
82 |
+
"loss": 1.6242,
|
83 |
"step": 110
|
84 |
},
|
85 |
{
|
86 |
+
"epoch": 1.97,
|
87 |
+
"learning_rate": 3.934426229508197e-06,
|
88 |
+
"loss": 1.4731,
|
89 |
+
"step": 120
|
|
|
|
|
|
|
90 |
},
|
91 |
{
|
92 |
+
"epoch": 2.0,
|
93 |
+
"eval_accuracy": 0.5560123329907503,
|
94 |
+
"eval_loss": 1.2931360006332397,
|
95 |
+
"eval_runtime": 12.3906,
|
96 |
+
"eval_samples_per_second": 78.527,
|
97 |
+
"eval_steps_per_second": 4.923,
|
98 |
+
"step": 122
|
99 |
},
|
100 |
{
|
101 |
+
"epoch": 2.13,
|
102 |
+
"learning_rate": 4.2622950819672135e-06,
|
103 |
+
"loss": 1.3791,
|
104 |
"step": 130
|
105 |
},
|
106 |
{
|
107 |
+
"epoch": 2.3,
|
108 |
+
"learning_rate": 4.59016393442623e-06,
|
109 |
+
"loss": 1.2578,
|
110 |
"step": 140
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 2.46,
|
114 |
+
"learning_rate": 4.918032786885246e-06,
|
115 |
+
"loss": 1.1893,
|
116 |
"step": 150
|
117 |
},
|
118 |
{
|
119 |
+
"epoch": 2.62,
|
120 |
+
"learning_rate": 5.245901639344263e-06,
|
121 |
+
"loss": 1.037,
|
122 |
"step": 160
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 2.79,
|
126 |
+
"learning_rate": 5.573770491803278e-06,
|
127 |
+
"loss": 1.0718,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
128 |
"step": 170
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 2.95,
|
132 |
+
"learning_rate": 5.9016393442622956e-06,
|
133 |
+
"loss": 0.9549,
|
134 |
"step": 180
|
135 |
},
|
136 |
{
|
137 |
+
"epoch": 3.0,
|
138 |
+
"eval_accuracy": 0.6998972250770812,
|
139 |
+
"eval_loss": 0.7530122399330139,
|
140 |
+
"eval_runtime": 12.2864,
|
141 |
+
"eval_samples_per_second": 79.193,
|
142 |
+
"eval_steps_per_second": 4.965,
|
143 |
+
"step": 183
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 3.11,
|
147 |
+
"learning_rate": 6.229508196721312e-06,
|
148 |
+
"loss": 1.0102,
|
149 |
"step": 190
|
150 |
},
|
151 |
{
|
152 |
+
"epoch": 3.28,
|
153 |
+
"learning_rate": 6.5573770491803276e-06,
|
154 |
+
"loss": 0.8888,
|
155 |
"step": 200
|
156 |
},
|
157 |
{
|
158 |
+
"epoch": 3.44,
|
159 |
+
"learning_rate": 6.885245901639345e-06,
|
160 |
+
"loss": 0.8389,
|
161 |
"step": 210
|
162 |
},
|
163 |
{
|
164 |
+
"epoch": 3.61,
|
165 |
+
"learning_rate": 7.213114754098361e-06,
|
166 |
+
"loss": 0.8072,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
167 |
"step": 220
|
168 |
},
|
169 |
{
|
170 |
+
"epoch": 3.77,
|
171 |
+
"learning_rate": 7.540983606557377e-06,
|
172 |
+
"loss": 0.748,
|
173 |
"step": 230
|
174 |
},
|
175 |
{
|
176 |
+
"epoch": 3.93,
|
177 |
+
"learning_rate": 7.868852459016394e-06,
|
178 |
+
"loss": 0.7375,
|
179 |
"step": 240
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 4.0,
|
183 |
+
"eval_accuracy": 0.8129496402877698,
|
184 |
+
"eval_loss": 0.4988514482975006,
|
185 |
+
"eval_runtime": 12.1672,
|
186 |
+
"eval_samples_per_second": 79.969,
|
187 |
+
"eval_steps_per_second": 5.013,
|
188 |
+
"step": 244
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 4.1,
|
192 |
+
"learning_rate": 8.19672131147541e-06,
|
193 |
+
"loss": 0.7001,
|
194 |
"step": 250
|
195 |
},
|
196 |
{
|
197 |
+
"epoch": 4.26,
|
198 |
+
"learning_rate": 8.524590163934427e-06,
|
199 |
+
"loss": 0.6759,
|
200 |
"step": 260
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 4.43,
|
204 |
+
"learning_rate": 8.852459016393443e-06,
|
205 |
+
"loss": 0.6793,
|
206 |
"step": 270
|
207 |
},
|
208 |
{
|
209 |
+
"epoch": 4.59,
|
210 |
+
"learning_rate": 9.18032786885246e-06,
|
211 |
+
"loss": 0.6572,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
212 |
"step": 280
|
213 |
},
|
214 |
{
|
215 |
+
"epoch": 4.75,
|
216 |
+
"learning_rate": 9.508196721311476e-06,
|
217 |
+
"loss": 0.6086,
|
218 |
"step": 290
|
219 |
},
|
220 |
{
|
221 |
+
"epoch": 4.92,
|
222 |
+
"learning_rate": 9.836065573770493e-06,
|
223 |
+
"loss": 0.615,
|
224 |
"step": 300
|
225 |
},
|
226 |
{
|
227 |
+
"epoch": 5.0,
|
228 |
+
"eval_accuracy": 0.8746145940390545,
|
229 |
+
"eval_loss": 0.3544515371322632,
|
230 |
+
"eval_runtime": 12.2633,
|
231 |
+
"eval_samples_per_second": 79.343,
|
232 |
+
"eval_steps_per_second": 4.974,
|
233 |
+
"step": 305
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 5.08,
|
237 |
+
"learning_rate": 9.836065573770493e-06,
|
238 |
+
"loss": 0.5495,
|
239 |
"step": 310
|
240 |
},
|
241 |
{
|
242 |
+
"epoch": 5.25,
|
243 |
+
"learning_rate": 9.508196721311476e-06,
|
244 |
+
"loss": 0.5625,
|
245 |
"step": 320
|
246 |
},
|
247 |
{
|
248 |
+
"epoch": 5.41,
|
249 |
+
"learning_rate": 9.18032786885246e-06,
|
250 |
+
"loss": 0.5274,
|
251 |
"step": 330
|
252 |
},
|
253 |
{
|
254 |
+
"epoch": 5.57,
|
255 |
+
"learning_rate": 8.852459016393443e-06,
|
256 |
+
"loss": 0.4914,
|
257 |
+
"step": 340
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 5.74,
|
261 |
+
"learning_rate": 8.524590163934427e-06,
|
262 |
+
"loss": 0.3984,
|
263 |
+
"step": 350
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 5.9,
|
267 |
+
"learning_rate": 8.19672131147541e-06,
|
268 |
+
"loss": 0.4751,
|
269 |
+
"step": 360
|
270 |
},
|
271 |
{
|
272 |
"epoch": 6.0,
|
273 |
+
"eval_accuracy": 0.9167523124357657,
|
274 |
+
"eval_loss": 0.2399262934923172,
|
275 |
+
"eval_runtime": 12.1531,
|
276 |
+
"eval_samples_per_second": 80.062,
|
277 |
+
"eval_steps_per_second": 5.019,
|
278 |
+
"step": 366
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 6.07,
|
282 |
+
"learning_rate": 7.868852459016394e-06,
|
283 |
+
"loss": 0.4427,
|
284 |
+
"step": 370
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 6.23,
|
288 |
+
"learning_rate": 7.540983606557377e-06,
|
289 |
+
"loss": 0.3884,
|
290 |
+
"step": 380
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 6.39,
|
294 |
+
"learning_rate": 7.213114754098361e-06,
|
295 |
+
"loss": 0.3789,
|
296 |
+
"step": 390
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 6.56,
|
300 |
+
"learning_rate": 6.885245901639345e-06,
|
301 |
+
"loss": 0.4063,
|
302 |
+
"step": 400
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 6.72,
|
306 |
+
"learning_rate": 6.5573770491803276e-06,
|
307 |
+
"loss": 0.3784,
|
308 |
+
"step": 410
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 6.89,
|
312 |
+
"learning_rate": 6.229508196721312e-06,
|
313 |
+
"loss": 0.3778,
|
314 |
+
"step": 420
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 7.0,
|
318 |
+
"eval_accuracy": 0.9558067831449126,
|
319 |
+
"eval_loss": 0.16275165975093842,
|
320 |
+
"eval_runtime": 12.3058,
|
321 |
+
"eval_samples_per_second": 79.068,
|
322 |
+
"eval_steps_per_second": 4.957,
|
323 |
+
"step": 427
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 7.05,
|
327 |
+
"learning_rate": 5.9016393442622956e-06,
|
328 |
+
"loss": 0.3681,
|
329 |
+
"step": 430
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 7.21,
|
333 |
+
"learning_rate": 5.573770491803278e-06,
|
334 |
+
"loss": 0.3397,
|
335 |
+
"step": 440
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 7.38,
|
339 |
+
"learning_rate": 5.245901639344263e-06,
|
340 |
+
"loss": 0.3429,
|
341 |
+
"step": 450
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 7.54,
|
345 |
+
"learning_rate": 4.918032786885246e-06,
|
346 |
+
"loss": 0.3384,
|
347 |
+
"step": 460
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 7.7,
|
351 |
+
"learning_rate": 4.59016393442623e-06,
|
352 |
+
"loss": 0.3018,
|
353 |
+
"step": 470
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 7.87,
|
357 |
+
"learning_rate": 4.2622950819672135e-06,
|
358 |
+
"loss": 0.3054,
|
359 |
+
"step": 480
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 8.0,
|
363 |
+
"eval_accuracy": 0.9619732785200411,
|
364 |
+
"eval_loss": 0.12017930299043655,
|
365 |
+
"eval_runtime": 12.2634,
|
366 |
+
"eval_samples_per_second": 79.342,
|
367 |
+
"eval_steps_per_second": 4.974,
|
368 |
+
"step": 488
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 8.03,
|
372 |
+
"learning_rate": 3.934426229508197e-06,
|
373 |
+
"loss": 0.3419,
|
374 |
+
"step": 490
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 8.2,
|
378 |
+
"learning_rate": 3.6065573770491806e-06,
|
379 |
+
"loss": 0.3126,
|
380 |
+
"step": 500
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 8.36,
|
384 |
+
"learning_rate": 3.2786885245901638e-06,
|
385 |
+
"loss": 0.2932,
|
386 |
+
"step": 510
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 8.52,
|
390 |
+
"learning_rate": 2.9508196721311478e-06,
|
391 |
+
"loss": 0.2949,
|
392 |
+
"step": 520
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 8.69,
|
396 |
+
"learning_rate": 2.6229508196721314e-06,
|
397 |
+
"loss": 0.327,
|
398 |
+
"step": 530
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 8.85,
|
402 |
+
"learning_rate": 2.295081967213115e-06,
|
403 |
+
"loss": 0.2787,
|
404 |
+
"step": 540
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 9.0,
|
408 |
+
"eval_accuracy": 0.9732785200411099,
|
409 |
+
"eval_loss": 0.0988311693072319,
|
410 |
+
"eval_runtime": 12.0955,
|
411 |
+
"eval_samples_per_second": 80.443,
|
412 |
+
"eval_steps_per_second": 5.043,
|
413 |
+
"step": 549
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 9.02,
|
417 |
+
"learning_rate": 1.9672131147540985e-06,
|
418 |
+
"loss": 0.2774,
|
419 |
+
"step": 550
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 9.18,
|
423 |
+
"learning_rate": 1.6393442622950819e-06,
|
424 |
+
"loss": 0.2333,
|
425 |
+
"step": 560
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 9.34,
|
429 |
+
"learning_rate": 1.3114754098360657e-06,
|
430 |
+
"loss": 0.2573,
|
431 |
+
"step": 570
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 9.51,
|
435 |
+
"learning_rate": 9.836065573770493e-07,
|
436 |
+
"loss": 0.2715,
|
437 |
+
"step": 580
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 9.67,
|
441 |
+
"learning_rate": 6.557377049180328e-07,
|
442 |
+
"loss": 0.2168,
|
443 |
+
"step": 590
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 9.84,
|
447 |
+
"learning_rate": 3.278688524590164e-07,
|
448 |
+
"loss": 0.3328,
|
449 |
+
"step": 600
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 10.0,
|
453 |
+
"learning_rate": 0.0,
|
454 |
+
"loss": 0.253,
|
455 |
+
"step": 610
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 10.0,
|
459 |
+
"eval_accuracy": 0.9722507708119219,
|
460 |
+
"eval_loss": 0.09661855548620224,
|
461 |
+
"eval_runtime": 12.2414,
|
462 |
+
"eval_samples_per_second": 79.484,
|
463 |
+
"eval_steps_per_second": 4.983,
|
464 |
+
"step": 610
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 10.0,
|
468 |
+
"step": 610,
|
469 |
+
"total_flos": 8.960328656655483e+18,
|
470 |
+
"train_loss": 0.807003553578111,
|
471 |
+
"train_runtime": 6787.6894,
|
472 |
+
"train_samples_per_second": 5.732,
|
473 |
+
"train_steps_per_second": 0.09
|
474 |
}
|
475 |
],
|
476 |
+
"max_steps": 610,
|
477 |
+
"num_train_epochs": 10,
|
478 |
+
"total_flos": 8.960328656655483e+18,
|
479 |
"trial_name": null,
|
480 |
"trial_params": null
|
481 |
}
|