ernie-ai commited on
Commit
f8ea65c
1 Parent(s): 93e1836

🍻 cheers

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "eval_accuracy": 0.9029850746268657,
4
+ "eval_loss": 0.310745507478714,
5
+ "eval_runtime": 2.0013,
6
+ "eval_samples_per_second": 66.956,
7
+ "eval_steps_per_second": 8.494,
8
+ "total_flos": 4.674400602398392e+17,
9
+ "train_loss": 0.24295292422175407,
10
+ "train_runtime": 151.2132,
11
+ "train_samples_per_second": 39.891,
12
+ "train_steps_per_second": 2.539
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "eval_accuracy": 0.9029850746268657,
4
+ "eval_loss": 0.310745507478714,
5
+ "eval_runtime": 2.0013,
6
+ "eval_samples_per_second": 66.956,
7
+ "eval_steps_per_second": 8.494
8
+ }
runs/Feb08_06-08-41_8b83d831317e/events.out.tfevents.1675836810.8b83d831317e.540.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d43ec75b6654fd71bea48b6274ce7b6293af7e81d161b4be20712e96ae61a4b
3
+ size 363
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "total_flos": 4.674400602398392e+17,
4
+ "train_loss": 0.24295292422175407,
5
+ "train_runtime": 151.2132,
6
+ "train_samples_per_second": 39.891,
7
+ "train_steps_per_second": 2.539
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.310745507478714,
3
+ "best_model_checkpoint": "finetuned-vit-doc-text-classifer/checkpoint-300",
4
+ "epoch": 8.0,
5
+ "global_step": 384,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.21,
12
+ "learning_rate": 0.00019479166666666668,
13
+ "loss": 1.2187,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.42,
18
+ "learning_rate": 0.00018958333333333332,
19
+ "loss": 0.8318,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.62,
24
+ "learning_rate": 0.000184375,
25
+ "loss": 0.5961,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.83,
30
+ "learning_rate": 0.0001791666666666667,
31
+ "loss": 0.5924,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 1.04,
36
+ "learning_rate": 0.00017395833333333334,
37
+ "loss": 0.5361,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 1.25,
42
+ "learning_rate": 0.00016875,
43
+ "loss": 0.4357,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 1.46,
48
+ "learning_rate": 0.00016354166666666668,
49
+ "loss": 0.3754,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 1.67,
54
+ "learning_rate": 0.00015833333333333332,
55
+ "loss": 0.3348,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 1.88,
60
+ "learning_rate": 0.000153125,
61
+ "loss": 0.315,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 2.08,
66
+ "learning_rate": 0.0001484375,
67
+ "loss": 0.2719,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 2.08,
72
+ "eval_accuracy": 0.8656716417910447,
73
+ "eval_loss": 0.41197091341018677,
74
+ "eval_runtime": 1.3481,
75
+ "eval_samples_per_second": 99.4,
76
+ "eval_steps_per_second": 12.611,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 2.29,
81
+ "learning_rate": 0.00014322916666666667,
82
+ "loss": 0.1733,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 2.5,
87
+ "learning_rate": 0.00013802083333333334,
88
+ "loss": 0.3338,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 2.71,
93
+ "learning_rate": 0.0001328125,
94
+ "loss": 0.2939,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 2.92,
99
+ "learning_rate": 0.00012760416666666668,
100
+ "loss": 0.3062,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 3.12,
105
+ "learning_rate": 0.00012239583333333332,
106
+ "loss": 0.203,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 3.33,
111
+ "learning_rate": 0.00011718750000000001,
112
+ "loss": 0.1359,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 3.54,
117
+ "learning_rate": 0.00011197916666666668,
118
+ "loss": 0.1954,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 3.75,
123
+ "learning_rate": 0.00010677083333333334,
124
+ "loss": 0.123,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 3.96,
129
+ "learning_rate": 0.00010156250000000001,
130
+ "loss": 0.1509,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 4.17,
135
+ "learning_rate": 9.635416666666667e-05,
136
+ "loss": 0.1027,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 4.17,
141
+ "eval_accuracy": 0.8880597014925373,
142
+ "eval_loss": 0.3907298743724823,
143
+ "eval_runtime": 2.1054,
144
+ "eval_samples_per_second": 63.647,
145
+ "eval_steps_per_second": 8.075,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 4.38,
150
+ "learning_rate": 9.114583333333334e-05,
151
+ "loss": 0.1048,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 4.58,
156
+ "learning_rate": 8.593750000000001e-05,
157
+ "loss": 0.1449,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 4.79,
162
+ "learning_rate": 8.072916666666667e-05,
163
+ "loss": 0.1575,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 5.0,
168
+ "learning_rate": 7.552083333333334e-05,
169
+ "loss": 0.267,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 5.21,
174
+ "learning_rate": 7.031250000000001e-05,
175
+ "loss": 0.1269,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 5.42,
180
+ "learning_rate": 6.510416666666667e-05,
181
+ "loss": 0.0954,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 5.62,
186
+ "learning_rate": 5.989583333333334e-05,
187
+ "loss": 0.0505,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 5.83,
192
+ "learning_rate": 5.46875e-05,
193
+ "loss": 0.0379,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 6.04,
198
+ "learning_rate": 4.947916666666667e-05,
199
+ "loss": 0.13,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 6.25,
204
+ "learning_rate": 4.4270833333333337e-05,
205
+ "loss": 0.0723,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 6.25,
210
+ "eval_accuracy": 0.9029850746268657,
211
+ "eval_loss": 0.310745507478714,
212
+ "eval_runtime": 1.3337,
213
+ "eval_samples_per_second": 100.474,
214
+ "eval_steps_per_second": 12.747,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 6.46,
219
+ "learning_rate": 3.90625e-05,
220
+ "loss": 0.1076,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 6.67,
225
+ "learning_rate": 3.385416666666667e-05,
226
+ "loss": 0.1555,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 6.88,
231
+ "learning_rate": 2.8645833333333333e-05,
232
+ "loss": 0.0671,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 7.08,
237
+ "learning_rate": 2.34375e-05,
238
+ "loss": 0.082,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 7.29,
243
+ "learning_rate": 1.8229166666666668e-05,
244
+ "loss": 0.0557,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 7.5,
249
+ "learning_rate": 1.3020833333333334e-05,
250
+ "loss": 0.0301,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 7.71,
255
+ "learning_rate": 7.8125e-06,
256
+ "loss": 0.0318,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 7.92,
261
+ "learning_rate": 2.604166666666667e-06,
262
+ "loss": 0.0667,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 8.0,
267
+ "step": 384,
268
+ "total_flos": 4.674400602398392e+17,
269
+ "train_loss": 0.24295292422175407,
270
+ "train_runtime": 151.2132,
271
+ "train_samples_per_second": 39.891,
272
+ "train_steps_per_second": 2.539
273
+ }
274
+ ],
275
+ "max_steps": 384,
276
+ "num_train_epochs": 8,
277
+ "total_flos": 4.674400602398392e+17,
278
+ "trial_name": null,
279
+ "trial_params": null
280
+ }