HorcruxNo13
commited on
Commit
•
4db333f
1
Parent(s):
5e6cd35
Training in progress, epoch 1
Browse files- all_results.json +4 -4
- pytorch_model.bin +1 -1
- train_results.json +4 -4
- trainer_state.json +138 -138
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 15.0,
|
3 |
"total_flos": 1.16237984421888e+18,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 15.0,
|
3 |
"total_flos": 1.16237984421888e+18,
|
4 |
+
"train_loss": 0.475440772374471,
|
5 |
+
"train_runtime": 1200.7807,
|
6 |
+
"train_samples_per_second": 12.492,
|
7 |
+
"train_steps_per_second": 0.05
|
8 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343268717
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:70e0c5f48e4cab99d8880a0d85047bb62b1211338a7363e01dd3f6fc698f564a
|
3 |
size 343268717
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 15.0,
|
3 |
"total_flos": 1.16237984421888e+18,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 15.0,
|
3 |
"total_flos": 1.16237984421888e+18,
|
4 |
+
"train_loss": 0.475440772374471,
|
5 |
+
"train_runtime": 1200.7807,
|
6 |
+
"train_samples_per_second": 12.492,
|
7 |
+
"train_steps_per_second": 0.05
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "vit-base-patch16-224/checkpoint-
|
4 |
"epoch": 15.0,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 60,
|
@@ -10,227 +10,227 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
-
"eval_accuracy": 0.
|
14 |
-
"eval_f1_score": 0.
|
15 |
-
"eval_loss": 0.
|
16 |
-
"eval_precision": 0.
|
17 |
-
"eval_recall": 0.
|
18 |
-
"eval_runtime":
|
19 |
-
"eval_samples_per_second":
|
20 |
-
"eval_steps_per_second": 0.
|
21 |
"step": 4
|
22 |
},
|
23 |
{
|
24 |
"epoch": 2.0,
|
25 |
-
"eval_accuracy": 0.
|
26 |
-
"eval_f1_score": 0.
|
27 |
-
"eval_loss": 0.
|
28 |
-
"eval_precision": 0.
|
29 |
-
"eval_recall": 0.
|
30 |
-
"eval_runtime": 4.
|
31 |
-
"eval_samples_per_second": 58.
|
32 |
-
"eval_steps_per_second": 0.
|
33 |
"step": 8
|
34 |
},
|
35 |
{
|
36 |
"epoch": 3.0,
|
37 |
-
"eval_accuracy": 0.
|
38 |
-
"eval_f1_score": 0.
|
39 |
-
"eval_loss": 0.
|
40 |
-
"eval_precision": 0.
|
41 |
-
"eval_recall": 0.
|
42 |
-
"eval_runtime":
|
43 |
-
"eval_samples_per_second":
|
44 |
-
"eval_steps_per_second":
|
45 |
"step": 12
|
46 |
},
|
47 |
{
|
48 |
"epoch": 3.75,
|
49 |
"learning_rate": 4.166666666666667e-05,
|
50 |
-
"loss": 0.
|
51 |
"step": 15
|
52 |
},
|
53 |
{
|
54 |
"epoch": 4.0,
|
55 |
-
"eval_accuracy": 0.
|
56 |
-
"eval_f1_score": 0.
|
57 |
-
"eval_loss": 0.
|
58 |
-
"eval_precision": 0.
|
59 |
-
"eval_recall": 0.
|
60 |
-
"eval_runtime":
|
61 |
-
"eval_samples_per_second":
|
62 |
-
"eval_steps_per_second":
|
63 |
"step": 16
|
64 |
},
|
65 |
{
|
66 |
"epoch": 5.0,
|
67 |
-
"eval_accuracy": 0.
|
68 |
-
"eval_f1_score": 0.
|
69 |
-
"eval_loss": 0.
|
70 |
-
"eval_precision": 0.
|
71 |
-
"eval_recall": 0.
|
72 |
-
"eval_runtime":
|
73 |
-
"eval_samples_per_second":
|
74 |
-
"eval_steps_per_second":
|
75 |
"step": 20
|
76 |
},
|
77 |
{
|
78 |
"epoch": 6.0,
|
79 |
-
"eval_accuracy": 0.
|
80 |
-
"eval_f1_score": 0.
|
81 |
-
"eval_loss": 0.
|
82 |
-
"eval_precision": 0.
|
83 |
-
"eval_recall": 0.
|
84 |
-
"eval_runtime":
|
85 |
-
"eval_samples_per_second":
|
86 |
-
"eval_steps_per_second":
|
87 |
"step": 24
|
88 |
},
|
89 |
{
|
90 |
"epoch": 7.0,
|
91 |
-
"eval_accuracy": 0.
|
92 |
-
"eval_f1_score": 0.
|
93 |
-
"eval_loss": 0.
|
94 |
-
"eval_precision": 0.
|
95 |
-
"eval_recall": 0.
|
96 |
-
"eval_runtime": 4.
|
97 |
-
"eval_samples_per_second":
|
98 |
-
"eval_steps_per_second": 0.
|
99 |
"step": 28
|
100 |
},
|
101 |
{
|
102 |
"epoch": 7.5,
|
103 |
"learning_rate": 2.777777777777778e-05,
|
104 |
-
"loss": 0.
|
105 |
"step": 30
|
106 |
},
|
107 |
{
|
108 |
"epoch": 8.0,
|
109 |
-
"eval_accuracy": 0.
|
110 |
-
"eval_f1_score": 0.
|
111 |
-
"eval_loss": 0.
|
112 |
-
"eval_precision": 0.
|
113 |
-
"eval_recall": 0.
|
114 |
-
"eval_runtime":
|
115 |
-
"eval_samples_per_second":
|
116 |
-
"eval_steps_per_second":
|
117 |
"step": 32
|
118 |
},
|
119 |
{
|
120 |
"epoch": 9.0,
|
121 |
-
"eval_accuracy": 0.
|
122 |
-
"eval_f1_score": 0.
|
123 |
-
"eval_loss": 0.
|
124 |
-
"eval_precision": 0.
|
125 |
-
"eval_recall": 0.
|
126 |
-
"eval_runtime":
|
127 |
-
"eval_samples_per_second":
|
128 |
-
"eval_steps_per_second":
|
129 |
"step": 36
|
130 |
},
|
131 |
{
|
132 |
"epoch": 10.0,
|
133 |
-
"eval_accuracy": 0.
|
134 |
-
"eval_f1_score": 0.
|
135 |
-
"eval_loss": 0.
|
136 |
-
"eval_precision": 0.
|
137 |
-
"eval_recall": 0.
|
138 |
-
"eval_runtime": 3.
|
139 |
-
"eval_samples_per_second":
|
140 |
-
"eval_steps_per_second": 1.
|
141 |
"step": 40
|
142 |
},
|
143 |
{
|
144 |
"epoch": 11.0,
|
145 |
-
"eval_accuracy": 0.
|
146 |
-
"eval_f1_score": 0.
|
147 |
-
"eval_loss": 0.
|
148 |
-
"eval_precision": 0.
|
149 |
-
"eval_recall": 0.
|
150 |
-
"eval_runtime":
|
151 |
-
"eval_samples_per_second":
|
152 |
-
"eval_steps_per_second":
|
153 |
"step": 44
|
154 |
},
|
155 |
{
|
156 |
"epoch": 11.25,
|
157 |
"learning_rate": 1.388888888888889e-05,
|
158 |
-
"loss": 0.
|
159 |
"step": 45
|
160 |
},
|
161 |
{
|
162 |
"epoch": 12.0,
|
163 |
-
"eval_accuracy": 0.
|
164 |
-
"eval_f1_score": 0.
|
165 |
-
"eval_loss": 0.
|
166 |
-
"eval_precision": 0.
|
167 |
-
"eval_recall": 0.
|
168 |
-
"eval_runtime": 4.
|
169 |
-
"eval_samples_per_second":
|
170 |
-
"eval_steps_per_second": 0.
|
171 |
"step": 48
|
172 |
},
|
173 |
{
|
174 |
"epoch": 13.0,
|
175 |
-
"eval_accuracy": 0.
|
176 |
-
"eval_f1_score": 0.
|
177 |
-
"eval_loss": 0.
|
178 |
-
"eval_precision": 0.
|
179 |
-
"eval_recall": 0.
|
180 |
-
"eval_runtime": 4.
|
181 |
-
"eval_samples_per_second":
|
182 |
-
"eval_steps_per_second": 0.
|
183 |
"step": 52
|
184 |
},
|
185 |
{
|
186 |
"epoch": 14.0,
|
187 |
-
"eval_accuracy": 0.
|
188 |
-
"eval_f1_score": 0.
|
189 |
-
"eval_loss": 0.
|
190 |
-
"eval_precision": 0.
|
191 |
-
"eval_recall": 0.
|
192 |
-
"eval_runtime":
|
193 |
-
"eval_samples_per_second":
|
194 |
-
"eval_steps_per_second":
|
195 |
"step": 56
|
196 |
},
|
197 |
{
|
198 |
"epoch": 15.0,
|
199 |
"learning_rate": 0.0,
|
200 |
-
"loss": 0.
|
201 |
"step": 60
|
202 |
},
|
203 |
{
|
204 |
"epoch": 15.0,
|
205 |
-
"eval_accuracy": 0.
|
206 |
-
"eval_f1_score": 0.
|
207 |
-
"eval_loss": 0.
|
208 |
-
"eval_precision": 0.
|
209 |
-
"eval_recall": 0.
|
210 |
-
"eval_runtime":
|
211 |
-
"eval_samples_per_second":
|
212 |
-
"eval_steps_per_second":
|
213 |
"step": 60
|
214 |
},
|
215 |
{
|
216 |
"epoch": 15.0,
|
217 |
"step": 60,
|
218 |
"total_flos": 1.16237984421888e+18,
|
219 |
-
"train_loss": 0.
|
220 |
-
"train_runtime":
|
221 |
-
"train_samples_per_second":
|
222 |
-
"train_steps_per_second": 0.
|
223 |
},
|
224 |
{
|
225 |
"epoch": 15.0,
|
226 |
-
"eval_accuracy": 0.
|
227 |
-
"eval_f1_score": 0.
|
228 |
-
"eval_loss": 0.
|
229 |
-
"eval_precision": 0.
|
230 |
-
"eval_recall": 0.
|
231 |
-
"eval_runtime":
|
232 |
-
"eval_samples_per_second":
|
233 |
-
"eval_steps_per_second":
|
234 |
"step": 60
|
235 |
}
|
236 |
],
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7916666666666666,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224/checkpoint-52",
|
4 |
"epoch": 15.0,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 60,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.7333333333333333,
|
14 |
+
"eval_f1_score": 0.6280486019616454,
|
15 |
+
"eval_loss": 0.6009885668754578,
|
16 |
+
"eval_precision": 0.6725490196078432,
|
17 |
+
"eval_recall": 0.7333333333333333,
|
18 |
+
"eval_runtime": 73.0728,
|
19 |
+
"eval_samples_per_second": 3.284,
|
20 |
+
"eval_steps_per_second": 0.055,
|
21 |
"step": 4
|
22 |
},
|
23 |
{
|
24 |
"epoch": 2.0,
|
25 |
+
"eval_accuracy": 0.7375,
|
26 |
+
"eval_f1_score": 0.6302131603336423,
|
27 |
+
"eval_loss": 0.5551710724830627,
|
28 |
+
"eval_precision": 0.8066945606694561,
|
29 |
+
"eval_recall": 0.7375,
|
30 |
+
"eval_runtime": 4.1084,
|
31 |
+
"eval_samples_per_second": 58.416,
|
32 |
+
"eval_steps_per_second": 0.974,
|
33 |
"step": 8
|
34 |
},
|
35 |
{
|
36 |
"epoch": 3.0,
|
37 |
+
"eval_accuracy": 0.7541666666666667,
|
38 |
+
"eval_f1_score": 0.6781685795384426,
|
39 |
+
"eval_loss": 0.5449685454368591,
|
40 |
+
"eval_precision": 0.7597883597883598,
|
41 |
+
"eval_recall": 0.7541666666666667,
|
42 |
+
"eval_runtime": 4.0131,
|
43 |
+
"eval_samples_per_second": 59.804,
|
44 |
+
"eval_steps_per_second": 0.997,
|
45 |
"step": 12
|
46 |
},
|
47 |
{
|
48 |
"epoch": 3.75,
|
49 |
"learning_rate": 4.166666666666667e-05,
|
50 |
+
"loss": 0.576,
|
51 |
"step": 15
|
52 |
},
|
53 |
{
|
54 |
"epoch": 4.0,
|
55 |
+
"eval_accuracy": 0.75,
|
56 |
+
"eval_f1_score": 0.6641114982578398,
|
57 |
+
"eval_loss": 0.5325278043746948,
|
58 |
+
"eval_precision": 0.7706552706552707,
|
59 |
+
"eval_recall": 0.75,
|
60 |
+
"eval_runtime": 4.224,
|
61 |
+
"eval_samples_per_second": 56.818,
|
62 |
+
"eval_steps_per_second": 0.947,
|
63 |
"step": 16
|
64 |
},
|
65 |
{
|
66 |
"epoch": 5.0,
|
67 |
+
"eval_accuracy": 0.75,
|
68 |
+
"eval_f1_score": 0.6899999999999998,
|
69 |
+
"eval_loss": 0.5234411954879761,
|
70 |
+
"eval_precision": 0.7232142857142857,
|
71 |
+
"eval_recall": 0.75,
|
72 |
+
"eval_runtime": 3.9713,
|
73 |
+
"eval_samples_per_second": 60.434,
|
74 |
+
"eval_steps_per_second": 1.007,
|
75 |
"step": 20
|
76 |
},
|
77 |
{
|
78 |
"epoch": 6.0,
|
79 |
+
"eval_accuracy": 0.7625,
|
80 |
+
"eval_f1_score": 0.7075837742504409,
|
81 |
+
"eval_loss": 0.511196494102478,
|
82 |
+
"eval_precision": 0.7505671326826696,
|
83 |
+
"eval_recall": 0.7625,
|
84 |
+
"eval_runtime": 3.9183,
|
85 |
+
"eval_samples_per_second": 61.251,
|
86 |
+
"eval_steps_per_second": 1.021,
|
87 |
"step": 24
|
88 |
},
|
89 |
{
|
90 |
"epoch": 7.0,
|
91 |
+
"eval_accuracy": 0.7666666666666667,
|
92 |
+
"eval_f1_score": 0.7221264707039705,
|
93 |
+
"eval_loss": 0.5081896185874939,
|
94 |
+
"eval_precision": 0.7503197108701696,
|
95 |
+
"eval_recall": 0.7666666666666667,
|
96 |
+
"eval_runtime": 4.0209,
|
97 |
+
"eval_samples_per_second": 59.688,
|
98 |
+
"eval_steps_per_second": 0.995,
|
99 |
"step": 28
|
100 |
},
|
101 |
{
|
102 |
"epoch": 7.5,
|
103 |
"learning_rate": 2.777777777777778e-05,
|
104 |
+
"loss": 0.4876,
|
105 |
"step": 30
|
106 |
},
|
107 |
{
|
108 |
"epoch": 8.0,
|
109 |
+
"eval_accuracy": 0.7666666666666667,
|
110 |
+
"eval_f1_score": 0.7287749287749288,
|
111 |
+
"eval_loss": 0.5066744089126587,
|
112 |
+
"eval_precision": 0.746633117661155,
|
113 |
+
"eval_recall": 0.7666666666666667,
|
114 |
+
"eval_runtime": 3.9922,
|
115 |
+
"eval_samples_per_second": 60.118,
|
116 |
+
"eval_steps_per_second": 1.002,
|
117 |
"step": 32
|
118 |
},
|
119 |
{
|
120 |
"epoch": 9.0,
|
121 |
+
"eval_accuracy": 0.7791666666666667,
|
122 |
+
"eval_f1_score": 0.7528159852134981,
|
123 |
+
"eval_loss": 0.5091281533241272,
|
124 |
+
"eval_precision": 0.76231884057971,
|
125 |
+
"eval_recall": 0.7791666666666667,
|
126 |
+
"eval_runtime": 4.1183,
|
127 |
+
"eval_samples_per_second": 58.276,
|
128 |
+
"eval_steps_per_second": 0.971,
|
129 |
"step": 36
|
130 |
},
|
131 |
{
|
132 |
"epoch": 10.0,
|
133 |
+
"eval_accuracy": 0.7583333333333333,
|
134 |
+
"eval_f1_score": 0.704514442129346,
|
135 |
+
"eval_loss": 0.5022971630096436,
|
136 |
+
"eval_precision": 0.7393393393393393,
|
137 |
+
"eval_recall": 0.7583333333333333,
|
138 |
+
"eval_runtime": 3.9137,
|
139 |
+
"eval_samples_per_second": 61.323,
|
140 |
+
"eval_steps_per_second": 1.022,
|
141 |
"step": 40
|
142 |
},
|
143 |
{
|
144 |
"epoch": 11.0,
|
145 |
+
"eval_accuracy": 0.7708333333333334,
|
146 |
+
"eval_f1_score": 0.7434882865423094,
|
147 |
+
"eval_loss": 0.4910615086555481,
|
148 |
+
"eval_precision": 0.7506953593910115,
|
149 |
+
"eval_recall": 0.7708333333333334,
|
150 |
+
"eval_runtime": 3.9528,
|
151 |
+
"eval_samples_per_second": 60.716,
|
152 |
+
"eval_steps_per_second": 1.012,
|
153 |
"step": 44
|
154 |
},
|
155 |
{
|
156 |
"epoch": 11.25,
|
157 |
"learning_rate": 1.388888888888889e-05,
|
158 |
+
"loss": 0.4379,
|
159 |
"step": 45
|
160 |
},
|
161 |
{
|
162 |
"epoch": 12.0,
|
163 |
+
"eval_accuracy": 0.7666666666666667,
|
164 |
+
"eval_f1_score": 0.7513341298287536,
|
165 |
+
"eval_loss": 0.492078959941864,
|
166 |
+
"eval_precision": 0.7487322201607916,
|
167 |
+
"eval_recall": 0.7666666666666667,
|
168 |
+
"eval_runtime": 4.01,
|
169 |
+
"eval_samples_per_second": 59.85,
|
170 |
+
"eval_steps_per_second": 0.998,
|
171 |
"step": 48
|
172 |
},
|
173 |
{
|
174 |
"epoch": 13.0,
|
175 |
+
"eval_accuracy": 0.7916666666666666,
|
176 |
+
"eval_f1_score": 0.7679595398368771,
|
177 |
+
"eval_loss": 0.4905916154384613,
|
178 |
+
"eval_precision": 0.7791738054445079,
|
179 |
+
"eval_recall": 0.7916666666666666,
|
180 |
+
"eval_runtime": 4.0131,
|
181 |
+
"eval_samples_per_second": 59.804,
|
182 |
+
"eval_steps_per_second": 0.997,
|
183 |
"step": 52
|
184 |
},
|
185 |
{
|
186 |
"epoch": 14.0,
|
187 |
+
"eval_accuracy": 0.7875,
|
188 |
+
"eval_f1_score": 0.76446353296747,
|
189 |
+
"eval_loss": 0.49192750453948975,
|
190 |
+
"eval_precision": 0.7731010452961672,
|
191 |
+
"eval_recall": 0.7875,
|
192 |
+
"eval_runtime": 4.0774,
|
193 |
+
"eval_samples_per_second": 58.86,
|
194 |
+
"eval_steps_per_second": 0.981,
|
195 |
"step": 56
|
196 |
},
|
197 |
{
|
198 |
"epoch": 15.0,
|
199 |
"learning_rate": 0.0,
|
200 |
+
"loss": 0.4003,
|
201 |
"step": 60
|
202 |
},
|
203 |
{
|
204 |
"epoch": 15.0,
|
205 |
+
"eval_accuracy": 0.7833333333333333,
|
206 |
+
"eval_f1_score": 0.7586779214303522,
|
207 |
+
"eval_loss": 0.49290910363197327,
|
208 |
+
"eval_precision": 0.7677707976394442,
|
209 |
+
"eval_recall": 0.7833333333333333,
|
210 |
+
"eval_runtime": 3.978,
|
211 |
+
"eval_samples_per_second": 60.332,
|
212 |
+
"eval_steps_per_second": 1.006,
|
213 |
"step": 60
|
214 |
},
|
215 |
{
|
216 |
"epoch": 15.0,
|
217 |
"step": 60,
|
218 |
"total_flos": 1.16237984421888e+18,
|
219 |
+
"train_loss": 0.475440772374471,
|
220 |
+
"train_runtime": 1200.7807,
|
221 |
+
"train_samples_per_second": 12.492,
|
222 |
+
"train_steps_per_second": 0.05
|
223 |
},
|
224 |
{
|
225 |
"epoch": 15.0,
|
226 |
+
"eval_accuracy": 0.7833333333333333,
|
227 |
+
"eval_f1_score": 0.7558981348884555,
|
228 |
+
"eval_loss": 0.4771976172924042,
|
229 |
+
"eval_precision": 0.7701923076923076,
|
230 |
+
"eval_recall": 0.7833333333333333,
|
231 |
+
"eval_runtime": 93.6348,
|
232 |
+
"eval_samples_per_second": 3.204,
|
233 |
+
"eval_steps_per_second": 0.053,
|
234 |
"step": 60
|
235 |
}
|
236 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4027
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d7a4354514de5bcf1aa51ba982ed563501930d8c01edcbecc19581c7fc1d5d8d
|
3 |
size 4027
|