Alex-VisTas commited on
Commit
226fed4
1 Parent(s): 1792b85

Training in progress, epoch 1

Browse files
all_results.json CHANGED
@@ -5,9 +5,9 @@
5
  "eval_runtime": 7.2006,
6
  "eval_samples_per_second": 35.275,
7
  "eval_steps_per_second": 1.111,
8
- "total_flos": 3.397316574586798e+17,
9
- "train_loss": 0.4178706164713259,
10
- "train_runtime": 1783.0458,
11
- "train_samples_per_second": 7.666,
12
- "train_steps_per_second": 0.061
13
  }
 
5
  "eval_runtime": 7.2006,
6
  "eval_samples_per_second": 35.275,
7
  "eval_steps_per_second": 1.111,
8
+ "total_flos": 1.1070360374520545e+18,
9
+ "train_loss": 0.5791551381692119,
10
+ "train_runtime": 3074.7974,
11
+ "train_samples_per_second": 14.485,
12
+ "train_steps_per_second": 0.113
13
  }
runs/Oct12_18-42-49_5fea15d368fa/1665608374.0010908/events.out.tfevents.1665608374.5fea15d368fa.94.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1771a9e6d9ca8aed1af4f7d606e5dc42889bc0e7c48ba99f29de8534e5fc0c5e
3
+ size 5553
runs/Oct12_18-42-49_5fea15d368fa/events.out.tfevents.1665608373.5fea15d368fa.94.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:249affddb8e1e4f78183446c3f3c906e28c167751cf12a0caac1d0bb94fecfc8
3
+ size 5133
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 6.0,
3
- "total_flos": 3.397316574586798e+17,
4
- "train_loss": 0.4178706164713259,
5
- "train_runtime": 1783.0458,
6
- "train_samples_per_second": 7.666,
7
- "train_steps_per_second": 0.061
8
  }
 
1
  {
2
  "epoch": 6.0,
3
+ "total_flos": 1.1070360374520545e+18,
4
+ "train_loss": 0.5791551381692119,
5
+ "train_runtime": 3074.7974,
6
+ "train_samples_per_second": 14.485,
7
+ "train_steps_per_second": 0.113
8
  }
trainer_state.json CHANGED
@@ -1,139 +1,283 @@
1
  {
2
- "best_metric": 0.84251968503937,
3
- "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-woody/checkpoint-18",
4
  "epoch": 6.0,
5
- "global_step": 108,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
- "epoch": 0.56,
12
- "learning_rate": 4.545454545454546e-05,
13
- "loss": 0.6766,
14
  "step": 10
15
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
  {
17
  "epoch": 1.0,
18
- "eval_accuracy": 0.84251968503937,
19
- "eval_loss": 0.4541613459587097,
20
- "eval_runtime": 127.7917,
21
- "eval_samples_per_second": 1.988,
22
- "eval_steps_per_second": 0.063,
23
- "step": 18
24
  },
25
  {
26
- "epoch": 1.11,
27
- "learning_rate": 4.536082474226804e-05,
28
- "loss": 0.4353,
29
- "step": 20
30
  },
31
  {
32
- "epoch": 1.67,
33
- "learning_rate": 4.020618556701031e-05,
34
- "loss": 0.4078,
35
- "step": 30
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
36
  },
37
  {
38
  "epoch": 2.0,
39
- "eval_accuracy": 0.84251968503937,
40
- "eval_loss": 0.3917757272720337,
41
- "eval_runtime": 8.3632,
42
- "eval_samples_per_second": 30.371,
43
- "eval_steps_per_second": 0.957,
44
- "step": 36
45
  },
46
  {
47
- "epoch": 2.22,
48
- "learning_rate": 3.5051546391752576e-05,
49
- "loss": 0.4322,
50
- "step": 40
51
  },
52
  {
53
- "epoch": 2.78,
54
- "learning_rate": 2.9896907216494846e-05,
55
- "loss": 0.4251,
56
- "step": 50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
57
  },
58
  {
59
  "epoch": 3.0,
60
- "eval_accuracy": 0.84251968503937,
61
- "eval_loss": 0.3992865979671478,
62
- "eval_runtime": 9.1867,
63
- "eval_samples_per_second": 27.649,
64
- "eval_steps_per_second": 0.871,
65
- "step": 54
66
  },
67
  {
68
- "epoch": 3.33,
69
- "learning_rate": 2.4742268041237116e-05,
70
- "loss": 0.3791,
71
- "step": 60
72
  },
73
  {
74
- "epoch": 3.89,
75
- "learning_rate": 1.9587628865979382e-05,
76
- "loss": 0.3648,
77
- "step": 70
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78
  },
79
  {
80
  "epoch": 4.0,
81
- "eval_accuracy": 0.8385826771653543,
82
- "eval_loss": 0.37160149216651917,
83
- "eval_runtime": 8.9616,
84
- "eval_samples_per_second": 28.343,
85
- "eval_steps_per_second": 0.893,
86
- "step": 72
87
  },
88
  {
89
- "epoch": 4.44,
90
- "learning_rate": 1.4432989690721649e-05,
91
- "loss": 0.3798,
92
- "step": 80
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
93
  },
94
  {
95
  "epoch": 5.0,
96
- "learning_rate": 9.278350515463918e-06,
97
- "loss": 0.3474,
98
- "step": 90
99
  },
100
  {
101
  "epoch": 5.0,
102
- "eval_accuracy": 0.8346456692913385,
103
- "eval_loss": 0.38020509481430054,
104
- "eval_runtime": 7.3986,
105
- "eval_samples_per_second": 34.331,
106
- "eval_steps_per_second": 1.081,
107
- "step": 90
108
  },
109
  {
110
- "epoch": 5.56,
111
- "learning_rate": 4.123711340206186e-06,
112
- "loss": 0.367,
113
- "step": 100
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
114
  },
115
  {
116
  "epoch": 6.0,
117
- "eval_accuracy": 0.8346456692913385,
118
- "eval_loss": 0.3757024109363556,
119
- "eval_runtime": 8.8054,
120
- "eval_samples_per_second": 28.846,
121
- "eval_steps_per_second": 0.909,
122
- "step": 108
123
  },
124
  {
125
  "epoch": 6.0,
126
- "step": 108,
127
- "total_flos": 3.397316574586798e+17,
128
- "train_loss": 0.4178706164713259,
129
- "train_runtime": 1783.0458,
130
- "train_samples_per_second": 7.666,
131
- "train_steps_per_second": 0.061
132
  }
133
  ],
134
- "max_steps": 108,
135
  "num_train_epochs": 6,
136
- "total_flos": 3.397316574586798e+17,
137
  "trial_name": null,
138
  "trial_params": null
139
  }
 
1
  {
2
+ "best_metric": 0.7321212121212122,
3
+ "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-woody/checkpoint-174",
4
  "epoch": 6.0,
5
+ "global_step": 348,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
+ "epoch": 0.17,
12
+ "learning_rate": 1.4285714285714285e-05,
13
+ "loss": 0.7055,
14
  "step": 10
15
  },
16
+ {
17
+ "epoch": 0.34,
18
+ "learning_rate": 2.857142857142857e-05,
19
+ "loss": 0.6683,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.52,
24
+ "learning_rate": 4.2857142857142856e-05,
25
+ "loss": 0.6516,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.69,
30
+ "learning_rate": 4.920127795527157e-05,
31
+ "loss": 0.6218,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.86,
36
+ "learning_rate": 4.76038338658147e-05,
37
+ "loss": 0.6197,
38
+ "step": 50
39
+ },
40
  {
41
  "epoch": 1.0,
42
+ "eval_accuracy": 0.6557575757575758,
43
+ "eval_loss": 0.6088702082633972,
44
+ "eval_runtime": 182.647,
45
+ "eval_samples_per_second": 4.517,
46
+ "eval_steps_per_second": 0.142,
47
+ "step": 58
48
  },
49
  {
50
+ "epoch": 1.03,
51
+ "learning_rate": 4.600638977635783e-05,
52
+ "loss": 0.6022,
53
+ "step": 60
54
  },
55
  {
56
+ "epoch": 1.21,
57
+ "learning_rate": 4.440894568690096e-05,
58
+ "loss": 0.6239,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 1.38,
63
+ "learning_rate": 4.2811501597444096e-05,
64
+ "loss": 0.6337,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 1.55,
69
+ "learning_rate": 4.1214057507987225e-05,
70
+ "loss": 0.6083,
71
+ "step": 90
72
+ },
73
+ {
74
+ "epoch": 1.72,
75
+ "learning_rate": 3.9616613418530355e-05,
76
+ "loss": 0.6061,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 1.9,
81
+ "learning_rate": 3.8019169329073485e-05,
82
+ "loss": 0.5984,
83
+ "step": 110
84
  },
85
  {
86
  "epoch": 2.0,
87
+ "eval_accuracy": 0.7103030303030303,
88
+ "eval_loss": 0.5503384470939636,
89
+ "eval_runtime": 23.8635,
90
+ "eval_samples_per_second": 34.572,
91
+ "eval_steps_per_second": 1.09,
92
+ "step": 116
93
  },
94
  {
95
+ "epoch": 2.07,
96
+ "learning_rate": 3.6421725239616614e-05,
97
+ "loss": 0.594,
98
+ "step": 120
99
  },
100
  {
101
+ "epoch": 2.24,
102
+ "learning_rate": 3.482428115015975e-05,
103
+ "loss": 0.5911,
104
+ "step": 130
105
+ },
106
+ {
107
+ "epoch": 2.41,
108
+ "learning_rate": 3.322683706070287e-05,
109
+ "loss": 0.5523,
110
+ "step": 140
111
+ },
112
+ {
113
+ "epoch": 2.59,
114
+ "learning_rate": 3.162939297124601e-05,
115
+ "loss": 0.6095,
116
+ "step": 150
117
+ },
118
+ {
119
+ "epoch": 2.76,
120
+ "learning_rate": 3.003194888178914e-05,
121
+ "loss": 0.5657,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 2.93,
126
+ "learning_rate": 2.843450479233227e-05,
127
+ "loss": 0.5664,
128
+ "step": 170
129
  },
130
  {
131
  "epoch": 3.0,
132
+ "eval_accuracy": 0.7321212121212122,
133
+ "eval_loss": 0.5392071008682251,
134
+ "eval_runtime": 23.9974,
135
+ "eval_samples_per_second": 34.379,
136
+ "eval_steps_per_second": 1.083,
137
+ "step": 174
138
  },
139
  {
140
+ "epoch": 3.1,
141
+ "learning_rate": 2.68370607028754e-05,
142
+ "loss": 0.5752,
143
+ "step": 180
144
  },
145
  {
146
+ "epoch": 3.28,
147
+ "learning_rate": 2.523961661341853e-05,
148
+ "loss": 0.5534,
149
+ "step": 190
150
+ },
151
+ {
152
+ "epoch": 3.45,
153
+ "learning_rate": 2.364217252396166e-05,
154
+ "loss": 0.5642,
155
+ "step": 200
156
+ },
157
+ {
158
+ "epoch": 3.62,
159
+ "learning_rate": 2.2044728434504794e-05,
160
+ "loss": 0.5334,
161
+ "step": 210
162
+ },
163
+ {
164
+ "epoch": 3.79,
165
+ "learning_rate": 2.0447284345047924e-05,
166
+ "loss": 0.5655,
167
+ "step": 220
168
+ },
169
+ {
170
+ "epoch": 3.97,
171
+ "learning_rate": 1.8849840255591057e-05,
172
+ "loss": 0.5645,
173
+ "step": 230
174
  },
175
  {
176
  "epoch": 4.0,
177
+ "eval_accuracy": 0.7260606060606061,
178
+ "eval_loss": 0.5387520790100098,
179
+ "eval_runtime": 23.7899,
180
+ "eval_samples_per_second": 34.679,
181
+ "eval_steps_per_second": 1.093,
182
+ "step": 232
183
  },
184
  {
185
+ "epoch": 4.14,
186
+ "learning_rate": 1.7252396166134186e-05,
187
+ "loss": 0.5588,
188
+ "step": 240
189
+ },
190
+ {
191
+ "epoch": 4.31,
192
+ "learning_rate": 1.565495207667732e-05,
193
+ "loss": 0.5342,
194
+ "step": 250
195
+ },
196
+ {
197
+ "epoch": 4.48,
198
+ "learning_rate": 1.4057507987220447e-05,
199
+ "loss": 0.5535,
200
+ "step": 260
201
+ },
202
+ {
203
+ "epoch": 4.66,
204
+ "learning_rate": 1.2460063897763578e-05,
205
+ "loss": 0.5549,
206
+ "step": 270
207
+ },
208
+ {
209
+ "epoch": 4.83,
210
+ "learning_rate": 1.086261980830671e-05,
211
+ "loss": 0.5266,
212
+ "step": 280
213
  },
214
  {
215
  "epoch": 5.0,
216
+ "learning_rate": 9.265175718849841e-06,
217
+ "loss": 0.5467,
218
+ "step": 290
219
  },
220
  {
221
  "epoch": 5.0,
222
+ "eval_accuracy": 0.7321212121212122,
223
+ "eval_loss": 0.5143269300460815,
224
+ "eval_runtime": 23.8629,
225
+ "eval_samples_per_second": 34.573,
226
+ "eval_steps_per_second": 1.09,
227
+ "step": 290
228
  },
229
  {
230
+ "epoch": 5.17,
231
+ "learning_rate": 7.66773162939297e-06,
232
+ "loss": 0.5335,
233
+ "step": 300
234
+ },
235
+ {
236
+ "epoch": 5.34,
237
+ "learning_rate": 6.070287539936103e-06,
238
+ "loss": 0.558,
239
+ "step": 310
240
+ },
241
+ {
242
+ "epoch": 5.52,
243
+ "learning_rate": 4.472843450479233e-06,
244
+ "loss": 0.5368,
245
+ "step": 320
246
+ },
247
+ {
248
+ "epoch": 5.69,
249
+ "learning_rate": 2.8753993610223644e-06,
250
+ "loss": 0.5366,
251
+ "step": 330
252
+ },
253
+ {
254
+ "epoch": 5.86,
255
+ "learning_rate": 1.2779552715654952e-06,
256
+ "loss": 0.5316,
257
+ "step": 340
258
  },
259
  {
260
  "epoch": 6.0,
261
+ "eval_accuracy": 0.7296969696969697,
262
+ "eval_loss": 0.5135210156440735,
263
+ "eval_runtime": 23.6834,
264
+ "eval_samples_per_second": 34.834,
265
+ "eval_steps_per_second": 1.098,
266
+ "step": 348
267
  },
268
  {
269
  "epoch": 6.0,
270
+ "step": 348,
271
+ "total_flos": 1.1070360374520545e+18,
272
+ "train_loss": 0.5791551381692119,
273
+ "train_runtime": 3074.7974,
274
+ "train_samples_per_second": 14.485,
275
+ "train_steps_per_second": 0.113
276
  }
277
  ],
278
+ "max_steps": 348,
279
  "num_train_epochs": 6,
280
+ "total_flos": 1.1070360374520545e+18,
281
  "trial_name": null,
282
  "trial_params": null
283
  }