zahrav commited on
Commit
835f899
1 Parent(s): f35c974

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.2,
3
+ "eval_accuracy": 0.896774193548387,
4
+ "eval_loss": 0.2612727880477905,
5
+ "eval_runtime": 28.5494,
6
+ "eval_samples_per_second": 5.429,
7
+ "eval_steps_per_second": 1.366
8
+ }
runs/Dec12_20-03-40_cdr2591.int.cedar.computecanada.ca/events.out.tfevents.1670905124.cdr2591.int.cedar.computecanada.ca CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d7680591590ea1964f78c0b3068e7e5cce7d7dac8d60e5b560dc5a4d02256fbb
3
- size 40
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92744ba88da205199c574ec0247d3a55048adf1b0716831533ff090ffc2233ae
3
+ size 686
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.2,
3
+ "eval_accuracy": 0.896774193548387,
4
+ "eval_loss": 0.2612727880477905,
5
+ "eval_runtime": 28.5494,
6
+ "eval_samples_per_second": 5.429,
7
+ "eval_steps_per_second": 1.366
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,310 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9428571428571428,
3
+ "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-375",
4
+ "epoch": 4.2,
5
+ "global_step": 375,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 1.3157894736842106e-05,
13
+ "loss": 2.3419,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 2.6315789473684212e-05,
19
+ "loss": 2.2624,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.08,
24
+ "learning_rate": 3.9473684210526316e-05,
25
+ "loss": 2.179,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.11,
30
+ "learning_rate": 4.9703264094955494e-05,
31
+ "loss": 2.1293,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.13,
36
+ "learning_rate": 4.821958456973294e-05,
37
+ "loss": 2.1553,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.16,
42
+ "learning_rate": 4.673590504451038e-05,
43
+ "loss": 1.8437,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.19,
48
+ "learning_rate": 4.525222551928784e-05,
49
+ "loss": 1.8376,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.2,
54
+ "eval_accuracy": 0.5571428571428572,
55
+ "eval_loss": 1.3921232223510742,
56
+ "eval_runtime": 12.9943,
57
+ "eval_samples_per_second": 5.387,
58
+ "eval_steps_per_second": 1.385,
59
+ "step": 75
60
+ },
61
+ {
62
+ "epoch": 1.01,
63
+ "learning_rate": 4.3768545994065286e-05,
64
+ "loss": 1.4008,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 1.04,
69
+ "learning_rate": 4.228486646884273e-05,
70
+ "loss": 1.1143,
71
+ "step": 90
72
+ },
73
+ {
74
+ "epoch": 1.07,
75
+ "learning_rate": 4.080118694362018e-05,
76
+ "loss": 0.998,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 1.09,
81
+ "learning_rate": 3.9317507418397627e-05,
82
+ "loss": 0.8409,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 1.12,
87
+ "learning_rate": 3.783382789317508e-05,
88
+ "loss": 1.0214,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 1.15,
93
+ "learning_rate": 3.635014836795252e-05,
94
+ "loss": 0.9771,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 1.17,
99
+ "learning_rate": 3.4866468842729974e-05,
100
+ "loss": 0.9039,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 1.2,
105
+ "learning_rate": 3.338278931750742e-05,
106
+ "loss": 0.569,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 1.2,
111
+ "eval_accuracy": 0.7714285714285715,
112
+ "eval_loss": 0.6125089526176453,
113
+ "eval_runtime": 12.3209,
114
+ "eval_samples_per_second": 5.681,
115
+ "eval_steps_per_second": 1.461,
116
+ "step": 150
117
+ },
118
+ {
119
+ "epoch": 2.03,
120
+ "learning_rate": 3.189910979228487e-05,
121
+ "loss": 0.6987,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 2.05,
126
+ "learning_rate": 3.0415430267062318e-05,
127
+ "loss": 0.4678,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 2.08,
132
+ "learning_rate": 2.8931750741839762e-05,
133
+ "loss": 0.382,
134
+ "step": 180
135
+ },
136
+ {
137
+ "epoch": 2.11,
138
+ "learning_rate": 2.744807121661721e-05,
139
+ "loss": 0.3473,
140
+ "step": 190
141
+ },
142
+ {
143
+ "epoch": 2.13,
144
+ "learning_rate": 2.5964391691394662e-05,
145
+ "loss": 0.4796,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 2.16,
150
+ "learning_rate": 2.4480712166172106e-05,
151
+ "loss": 0.4357,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 2.19,
156
+ "learning_rate": 2.2997032640949558e-05,
157
+ "loss": 0.32,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 2.2,
162
+ "eval_accuracy": 0.7857142857142857,
163
+ "eval_loss": 0.48143571615219116,
164
+ "eval_runtime": 12.6305,
165
+ "eval_samples_per_second": 5.542,
166
+ "eval_steps_per_second": 1.425,
167
+ "step": 225
168
+ },
169
+ {
170
+ "epoch": 3.01,
171
+ "learning_rate": 2.1513353115727002e-05,
172
+ "loss": 0.3037,
173
+ "step": 230
174
+ },
175
+ {
176
+ "epoch": 3.04,
177
+ "learning_rate": 2.0029673590504454e-05,
178
+ "loss": 0.4254,
179
+ "step": 240
180
+ },
181
+ {
182
+ "epoch": 3.07,
183
+ "learning_rate": 1.85459940652819e-05,
184
+ "loss": 0.1861,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 3.09,
189
+ "learning_rate": 1.706231454005935e-05,
190
+ "loss": 0.3395,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 3.12,
195
+ "learning_rate": 1.5578635014836794e-05,
196
+ "loss": 0.3721,
197
+ "step": 270
198
+ },
199
+ {
200
+ "epoch": 3.15,
201
+ "learning_rate": 1.4094955489614246e-05,
202
+ "loss": 0.0912,
203
+ "step": 280
204
+ },
205
+ {
206
+ "epoch": 3.17,
207
+ "learning_rate": 1.2611275964391692e-05,
208
+ "loss": 0.1102,
209
+ "step": 290
210
+ },
211
+ {
212
+ "epoch": 3.2,
213
+ "learning_rate": 1.112759643916914e-05,
214
+ "loss": 0.2384,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 3.2,
219
+ "eval_accuracy": 0.9,
220
+ "eval_loss": 0.31621307134628296,
221
+ "eval_runtime": 12.1865,
222
+ "eval_samples_per_second": 5.744,
223
+ "eval_steps_per_second": 1.477,
224
+ "step": 300
225
+ },
226
+ {
227
+ "epoch": 4.03,
228
+ "learning_rate": 9.643916913946588e-06,
229
+ "loss": 0.0773,
230
+ "step": 310
231
+ },
232
+ {
233
+ "epoch": 4.05,
234
+ "learning_rate": 8.160237388724036e-06,
235
+ "loss": 0.1736,
236
+ "step": 320
237
+ },
238
+ {
239
+ "epoch": 4.08,
240
+ "learning_rate": 6.676557863501484e-06,
241
+ "loss": 0.1724,
242
+ "step": 330
243
+ },
244
+ {
245
+ "epoch": 4.11,
246
+ "learning_rate": 5.192878338278932e-06,
247
+ "loss": 0.0376,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 4.13,
252
+ "learning_rate": 3.7091988130563796e-06,
253
+ "loss": 0.1776,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 4.16,
258
+ "learning_rate": 2.225519287833828e-06,
259
+ "loss": 0.0882,
260
+ "step": 360
261
+ },
262
+ {
263
+ "epoch": 4.19,
264
+ "learning_rate": 7.41839762611276e-07,
265
+ "loss": 0.0338,
266
+ "step": 370
267
+ },
268
+ {
269
+ "epoch": 4.2,
270
+ "eval_accuracy": 0.9428571428571428,
271
+ "eval_loss": 0.17980989813804626,
272
+ "eval_runtime": 12.3133,
273
+ "eval_samples_per_second": 5.685,
274
+ "eval_steps_per_second": 1.462,
275
+ "step": 375
276
+ },
277
+ {
278
+ "epoch": 4.2,
279
+ "step": 375,
280
+ "total_flos": 1.86923023515648e+18,
281
+ "train_loss": 0.7618915402094523,
282
+ "train_runtime": 844.1562,
283
+ "train_samples_per_second": 1.777,
284
+ "train_steps_per_second": 0.444
285
+ },
286
+ {
287
+ "epoch": 4.2,
288
+ "eval_accuracy": 0.896774193548387,
289
+ "eval_loss": 0.27069538831710815,
290
+ "eval_runtime": 30.7865,
291
+ "eval_samples_per_second": 5.035,
292
+ "eval_steps_per_second": 1.267,
293
+ "step": 375
294
+ },
295
+ {
296
+ "epoch": 4.2,
297
+ "eval_accuracy": 0.896774193548387,
298
+ "eval_loss": 0.2612727880477905,
299
+ "eval_runtime": 28.5494,
300
+ "eval_samples_per_second": 5.429,
301
+ "eval_steps_per_second": 1.366,
302
+ "step": 375
303
+ }
304
+ ],
305
+ "max_steps": 375,
306
+ "num_train_epochs": 9223372036854775807,
307
+ "total_flos": 1.86923023515648e+18,
308
+ "trial_name": null,
309
+ "trial_params": null
310
+ }