SJChaudhuri
commited on
Commit
•
de289e9
1
Parent(s):
3828d51
End of training
Browse files- all_results.json +11 -6
- eval_results.json +8 -0
- runs/Apr01_10-58-45_b000f2de1a15/events.out.tfevents.1711971202.b000f2de1a15.5893.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +218 -29
all_results.json
CHANGED
@@ -1,8 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
|
|
|
|
|
|
|
|
|
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.6666666666666666,
|
4 |
+
"eval_loss": 0.933845043182373,
|
5 |
+
"eval_runtime": 5.652,
|
6 |
+
"eval_samples_per_second": 7.431,
|
7 |
+
"eval_steps_per_second": 0.354,
|
8 |
+
"total_flos": 5.741178860545229e+17,
|
9 |
+
"train_loss": 0.9606220165888468,
|
10 |
+
"train_runtime": 2002.1855,
|
11 |
+
"train_samples_per_second": 3.706,
|
12 |
+
"train_steps_per_second": 0.03
|
13 |
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.6666666666666666,
|
4 |
+
"eval_loss": 0.933845043182373,
|
5 |
+
"eval_runtime": 5.652,
|
6 |
+
"eval_samples_per_second": 7.431,
|
7 |
+
"eval_steps_per_second": 0.354
|
8 |
+
}
|
runs/Apr01_10-58-45_b000f2de1a15/events.out.tfevents.1711971202.b000f2de1a15.5893.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:508839f3076b473057443fe59c934877e58892379bdb9f176b5e8cd99760ecc0
|
3 |
+
size 405
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"total_flos": 5.741178860545229e+17,
|
4 |
+
"train_loss": 0.9606220165888468,
|
5 |
+
"train_runtime": 2002.1855,
|
6 |
+
"train_samples_per_second": 3.706,
|
7 |
+
"train_steps_per_second": 0.03
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,52 +1,241 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "beit-base-patch16-224-pt22k-finetuned-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": 1.0,
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_loss": 1.
|
14 |
-
"eval_runtime":
|
15 |
-
"eval_samples_per_second":
|
16 |
-
"eval_steps_per_second": 0.
|
17 |
"step": 3
|
18 |
},
|
19 |
{
|
20 |
"epoch": 2.0,
|
21 |
-
"eval_accuracy": 0.
|
22 |
-
"eval_loss": 1.
|
23 |
-
"eval_runtime": 5.
|
24 |
-
"eval_samples_per_second":
|
25 |
-
"eval_steps_per_second": 0.
|
26 |
"step": 6
|
27 |
},
|
28 |
{
|
29 |
"epoch": 3.0,
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_loss": 1.
|
32 |
-
"eval_runtime":
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 0.
|
35 |
"step": 9
|
36 |
},
|
37 |
{
|
38 |
-
"epoch": 3.
|
39 |
-
"
|
40 |
-
"
|
41 |
-
"
|
42 |
-
|
43 |
-
|
44 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
}
|
46 |
],
|
47 |
-
"max_steps":
|
48 |
-
"num_train_epochs":
|
49 |
-
"total_flos":
|
50 |
"trial_name": null,
|
51 |
"trial_params": null
|
52 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.6666666666666666,
|
3 |
+
"best_model_checkpoint": "beit-base-patch16-224-pt22k-finetuned-eurosat/checkpoint-24",
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 60,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.0,
|
12 |
+
"eval_accuracy": 0.30952380952380953,
|
13 |
+
"eval_loss": 1.3656748533248901,
|
14 |
+
"eval_runtime": 4.7483,
|
15 |
+
"eval_samples_per_second": 8.845,
|
16 |
+
"eval_steps_per_second": 0.421,
|
17 |
"step": 3
|
18 |
},
|
19 |
{
|
20 |
"epoch": 2.0,
|
21 |
+
"eval_accuracy": 0.42857142857142855,
|
22 |
+
"eval_loss": 1.1965879201889038,
|
23 |
+
"eval_runtime": 5.7114,
|
24 |
+
"eval_samples_per_second": 7.354,
|
25 |
+
"eval_steps_per_second": 0.35,
|
26 |
"step": 6
|
27 |
},
|
28 |
{
|
29 |
"epoch": 3.0,
|
30 |
+
"eval_accuracy": 0.4523809523809524,
|
31 |
+
"eval_loss": 1.107600212097168,
|
32 |
+
"eval_runtime": 4.8432,
|
33 |
+
"eval_samples_per_second": 8.672,
|
34 |
+
"eval_steps_per_second": 0.413,
|
35 |
"step": 9
|
36 |
},
|
37 |
{
|
38 |
+
"epoch": 3.33,
|
39 |
+
"learning_rate": 4.62962962962963e-05,
|
40 |
+
"loss": 1.2696,
|
41 |
+
"step": 10
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 4.0,
|
45 |
+
"eval_accuracy": 0.5714285714285714,
|
46 |
+
"eval_loss": 1.0716592073440552,
|
47 |
+
"eval_runtime": 5.6422,
|
48 |
+
"eval_samples_per_second": 7.444,
|
49 |
+
"eval_steps_per_second": 0.354,
|
50 |
+
"step": 12
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 5.0,
|
54 |
+
"eval_accuracy": 0.5238095238095238,
|
55 |
+
"eval_loss": 0.9948052763938904,
|
56 |
+
"eval_runtime": 5.0495,
|
57 |
+
"eval_samples_per_second": 8.318,
|
58 |
+
"eval_steps_per_second": 0.396,
|
59 |
+
"step": 15
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 6.0,
|
63 |
+
"eval_accuracy": 0.5,
|
64 |
+
"eval_loss": 1.0701154470443726,
|
65 |
+
"eval_runtime": 4.8895,
|
66 |
+
"eval_samples_per_second": 8.59,
|
67 |
+
"eval_steps_per_second": 0.409,
|
68 |
+
"step": 18
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 6.67,
|
72 |
+
"learning_rate": 3.7037037037037037e-05,
|
73 |
+
"loss": 1.0945,
|
74 |
+
"step": 20
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 7.0,
|
78 |
+
"eval_accuracy": 0.5,
|
79 |
+
"eval_loss": 0.9919558763504028,
|
80 |
+
"eval_runtime": 4.8666,
|
81 |
+
"eval_samples_per_second": 8.63,
|
82 |
+
"eval_steps_per_second": 0.411,
|
83 |
+
"step": 21
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 8.0,
|
87 |
+
"eval_accuracy": 0.6666666666666666,
|
88 |
+
"eval_loss": 0.933845043182373,
|
89 |
+
"eval_runtime": 4.7955,
|
90 |
+
"eval_samples_per_second": 8.758,
|
91 |
+
"eval_steps_per_second": 0.417,
|
92 |
+
"step": 24
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 9.0,
|
96 |
+
"eval_accuracy": 0.5714285714285714,
|
97 |
+
"eval_loss": 0.9605352282524109,
|
98 |
+
"eval_runtime": 4.8458,
|
99 |
+
"eval_samples_per_second": 8.667,
|
100 |
+
"eval_steps_per_second": 0.413,
|
101 |
+
"step": 27
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 10.0,
|
105 |
+
"learning_rate": 2.777777777777778e-05,
|
106 |
+
"loss": 0.9538,
|
107 |
+
"step": 30
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 10.0,
|
111 |
+
"eval_accuracy": 0.6190476190476191,
|
112 |
+
"eval_loss": 0.928451418876648,
|
113 |
+
"eval_runtime": 5.4278,
|
114 |
+
"eval_samples_per_second": 7.738,
|
115 |
+
"eval_steps_per_second": 0.368,
|
116 |
+
"step": 30
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 11.0,
|
120 |
+
"eval_accuracy": 0.5714285714285714,
|
121 |
+
"eval_loss": 0.9112913012504578,
|
122 |
+
"eval_runtime": 4.9223,
|
123 |
+
"eval_samples_per_second": 8.533,
|
124 |
+
"eval_steps_per_second": 0.406,
|
125 |
+
"step": 33
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 12.0,
|
129 |
+
"eval_accuracy": 0.6190476190476191,
|
130 |
+
"eval_loss": 0.8413514494895935,
|
131 |
+
"eval_runtime": 4.9452,
|
132 |
+
"eval_samples_per_second": 8.493,
|
133 |
+
"eval_steps_per_second": 0.404,
|
134 |
+
"step": 36
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 13.0,
|
138 |
+
"eval_accuracy": 0.5476190476190477,
|
139 |
+
"eval_loss": 0.9422200322151184,
|
140 |
+
"eval_runtime": 4.7763,
|
141 |
+
"eval_samples_per_second": 8.793,
|
142 |
+
"eval_steps_per_second": 0.419,
|
143 |
+
"step": 39
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 13.33,
|
147 |
+
"learning_rate": 1.8518518518518518e-05,
|
148 |
+
"loss": 0.8646,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 14.0,
|
153 |
+
"eval_accuracy": 0.6428571428571429,
|
154 |
+
"eval_loss": 0.8164998292922974,
|
155 |
+
"eval_runtime": 4.7422,
|
156 |
+
"eval_samples_per_second": 8.857,
|
157 |
+
"eval_steps_per_second": 0.422,
|
158 |
+
"step": 42
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 15.0,
|
162 |
+
"eval_accuracy": 0.5238095238095238,
|
163 |
+
"eval_loss": 0.9582035541534424,
|
164 |
+
"eval_runtime": 5.1656,
|
165 |
+
"eval_samples_per_second": 8.131,
|
166 |
+
"eval_steps_per_second": 0.387,
|
167 |
+
"step": 45
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 16.0,
|
171 |
+
"eval_accuracy": 0.6190476190476191,
|
172 |
+
"eval_loss": 0.8548088073730469,
|
173 |
+
"eval_runtime": 4.9211,
|
174 |
+
"eval_samples_per_second": 8.535,
|
175 |
+
"eval_steps_per_second": 0.406,
|
176 |
+
"step": 48
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 16.67,
|
180 |
+
"learning_rate": 9.259259259259259e-06,
|
181 |
+
"loss": 0.8082,
|
182 |
+
"step": 50
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 17.0,
|
186 |
+
"eval_accuracy": 0.6190476190476191,
|
187 |
+
"eval_loss": 0.8567562103271484,
|
188 |
+
"eval_runtime": 4.8635,
|
189 |
+
"eval_samples_per_second": 8.636,
|
190 |
+
"eval_steps_per_second": 0.411,
|
191 |
+
"step": 51
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 18.0,
|
195 |
+
"eval_accuracy": 0.5476190476190477,
|
196 |
+
"eval_loss": 0.8791553974151611,
|
197 |
+
"eval_runtime": 5.6088,
|
198 |
+
"eval_samples_per_second": 7.488,
|
199 |
+
"eval_steps_per_second": 0.357,
|
200 |
+
"step": 54
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 19.0,
|
204 |
+
"eval_accuracy": 0.5476190476190477,
|
205 |
+
"eval_loss": 0.8818988800048828,
|
206 |
+
"eval_runtime": 5.6414,
|
207 |
+
"eval_samples_per_second": 7.445,
|
208 |
+
"eval_steps_per_second": 0.355,
|
209 |
+
"step": 57
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 20.0,
|
213 |
+
"learning_rate": 0.0,
|
214 |
+
"loss": 0.7731,
|
215 |
+
"step": 60
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 20.0,
|
219 |
+
"eval_accuracy": 0.5714285714285714,
|
220 |
+
"eval_loss": 0.8454474210739136,
|
221 |
+
"eval_runtime": 8.0511,
|
222 |
+
"eval_samples_per_second": 5.217,
|
223 |
+
"eval_steps_per_second": 0.248,
|
224 |
+
"step": 60
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 20.0,
|
228 |
+
"step": 60,
|
229 |
+
"total_flos": 5.741178860545229e+17,
|
230 |
+
"train_loss": 0.9606220165888468,
|
231 |
+
"train_runtime": 2002.1855,
|
232 |
+
"train_samples_per_second": 3.706,
|
233 |
+
"train_steps_per_second": 0.03
|
234 |
}
|
235 |
],
|
236 |
+
"max_steps": 60,
|
237 |
+
"num_train_epochs": 20,
|
238 |
+
"total_flos": 5.741178860545229e+17,
|
239 |
"trial_name": null,
|
240 |
"trial_params": null
|
241 |
}
|