yehiawp4 commited on
Commit
1985bf6
1 Parent(s): b9313e0

End of training

Browse files
Files changed (3) hide show
  1. all_results.json +8 -0
  2. test_results.json +8 -0
  3. trainer_state.json +311 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.44,
3
+ "eval_accuracy": 0.16911764705882354,
4
+ "eval_loss": 1.9171618223190308,
5
+ "eval_runtime": 34.3798,
6
+ "eval_samples_per_second": 3.956,
7
+ "eval_steps_per_second": 1.978
8
+ }
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.44,
3
+ "eval_accuracy": 0.16911764705882354,
4
+ "eval_loss": 1.9171618223190308,
5
+ "eval_runtime": 34.3798,
6
+ "eval_samples_per_second": 3.956,
7
+ "eval_steps_per_second": 1.978
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,311 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.14545454545454545,
3
+ "best_model_checkpoint": "videomae-base-finetuned-kinetics-finetuned-caer-subset\\checkpoint-350",
4
+ "epoch": 1.44,
5
+ "eval_steps": 500,
6
+ "global_step": 350,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "grad_norm": 10.89427661895752,
14
+ "learning_rate": 1.4285714285714285e-05,
15
+ "loss": 1.9195,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.06,
20
+ "grad_norm": 9.84024715423584,
21
+ "learning_rate": 2.857142857142857e-05,
22
+ "loss": 1.9823,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.09,
27
+ "grad_norm": 15.709190368652344,
28
+ "learning_rate": 4.2857142857142856e-05,
29
+ "loss": 1.9911,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.11,
34
+ "grad_norm": 17.095855712890625,
35
+ "learning_rate": 4.9206349206349204e-05,
36
+ "loss": 2.0181,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.14,
41
+ "grad_norm": 10.043827056884766,
42
+ "learning_rate": 4.761904761904762e-05,
43
+ "loss": 1.9888,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.17,
48
+ "grad_norm": 10.363592147827148,
49
+ "learning_rate": 4.603174603174603e-05,
50
+ "loss": 1.937,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.2,
55
+ "grad_norm": 9.244985580444336,
56
+ "learning_rate": 4.4444444444444447e-05,
57
+ "loss": 1.9099,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.23,
62
+ "grad_norm": 6.264003753662109,
63
+ "learning_rate": 4.2857142857142856e-05,
64
+ "loss": 2.0108,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.26,
69
+ "grad_norm": 7.295020580291748,
70
+ "learning_rate": 4.126984126984127e-05,
71
+ "loss": 1.8789,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.29,
76
+ "grad_norm": 5.525545120239258,
77
+ "learning_rate": 3.968253968253968e-05,
78
+ "loss": 1.9794,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.31,
83
+ "grad_norm": 5.664557456970215,
84
+ "learning_rate": 3.809523809523809e-05,
85
+ "loss": 2.0856,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.34,
90
+ "grad_norm": 6.291672706604004,
91
+ "learning_rate": 3.650793650793651e-05,
92
+ "loss": 2.0504,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.37,
97
+ "grad_norm": 9.917661666870117,
98
+ "learning_rate": 3.492063492063492e-05,
99
+ "loss": 1.902,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.4,
104
+ "grad_norm": 8.238541603088379,
105
+ "learning_rate": 3.3333333333333335e-05,
106
+ "loss": 1.9035,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.43,
111
+ "grad_norm": 11.320600509643555,
112
+ "learning_rate": 3.1746031746031745e-05,
113
+ "loss": 1.951,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.46,
118
+ "grad_norm": 8.543054580688477,
119
+ "learning_rate": 3.0158730158730158e-05,
120
+ "loss": 1.9308,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.49,
125
+ "grad_norm": 8.997832298278809,
126
+ "learning_rate": 2.857142857142857e-05,
127
+ "loss": 1.9112,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.51,
132
+ "grad_norm": 7.9026713371276855,
133
+ "learning_rate": 2.6984126984126984e-05,
134
+ "loss": 1.9884,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.54,
139
+ "grad_norm": 4.980269908905029,
140
+ "learning_rate": 2.5396825396825397e-05,
141
+ "loss": 2.0268,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.56,
146
+ "eval_accuracy": 0.10909090909090909,
147
+ "eval_loss": 2.038116931915283,
148
+ "eval_runtime": 13.0712,
149
+ "eval_samples_per_second": 4.208,
150
+ "eval_steps_per_second": 2.142,
151
+ "step": 196
152
+ },
153
+ {
154
+ "epoch": 1.01,
155
+ "grad_norm": 5.153656959533691,
156
+ "learning_rate": 2.380952380952381e-05,
157
+ "loss": 1.9254,
158
+ "step": 200
159
+ },
160
+ {
161
+ "epoch": 1.04,
162
+ "grad_norm": 5.691870212554932,
163
+ "learning_rate": 2.2222222222222223e-05,
164
+ "loss": 2.0473,
165
+ "step": 210
166
+ },
167
+ {
168
+ "epoch": 1.07,
169
+ "grad_norm": 3.863321304321289,
170
+ "learning_rate": 2.0634920634920636e-05,
171
+ "loss": 2.0271,
172
+ "step": 220
173
+ },
174
+ {
175
+ "epoch": 1.1,
176
+ "grad_norm": 3.6589486598968506,
177
+ "learning_rate": 1.9047619047619046e-05,
178
+ "loss": 1.8714,
179
+ "step": 230
180
+ },
181
+ {
182
+ "epoch": 1.13,
183
+ "grad_norm": 4.852847576141357,
184
+ "learning_rate": 1.746031746031746e-05,
185
+ "loss": 2.0027,
186
+ "step": 240
187
+ },
188
+ {
189
+ "epoch": 1.15,
190
+ "grad_norm": 3.800025463104248,
191
+ "learning_rate": 1.5873015873015872e-05,
192
+ "loss": 1.9541,
193
+ "step": 250
194
+ },
195
+ {
196
+ "epoch": 1.18,
197
+ "grad_norm": 3.3564181327819824,
198
+ "learning_rate": 1.4285714285714285e-05,
199
+ "loss": 1.9262,
200
+ "step": 260
201
+ },
202
+ {
203
+ "epoch": 1.21,
204
+ "grad_norm": 4.314349174499512,
205
+ "learning_rate": 1.2698412698412699e-05,
206
+ "loss": 2.0122,
207
+ "step": 270
208
+ },
209
+ {
210
+ "epoch": 1.24,
211
+ "grad_norm": 3.4683678150177,
212
+ "learning_rate": 1.1111111111111112e-05,
213
+ "loss": 2.0268,
214
+ "step": 280
215
+ },
216
+ {
217
+ "epoch": 1.27,
218
+ "grad_norm": 5.209654808044434,
219
+ "learning_rate": 9.523809523809523e-06,
220
+ "loss": 1.8604,
221
+ "step": 290
222
+ },
223
+ {
224
+ "epoch": 1.3,
225
+ "grad_norm": 7.990084171295166,
226
+ "learning_rate": 7.936507936507936e-06,
227
+ "loss": 1.9207,
228
+ "step": 300
229
+ },
230
+ {
231
+ "epoch": 1.33,
232
+ "grad_norm": 7.0981950759887695,
233
+ "learning_rate": 6.349206349206349e-06,
234
+ "loss": 1.8903,
235
+ "step": 310
236
+ },
237
+ {
238
+ "epoch": 1.35,
239
+ "grad_norm": 11.933561325073242,
240
+ "learning_rate": 4.7619047619047615e-06,
241
+ "loss": 1.8676,
242
+ "step": 320
243
+ },
244
+ {
245
+ "epoch": 1.38,
246
+ "grad_norm": 9.403660774230957,
247
+ "learning_rate": 3.1746031746031746e-06,
248
+ "loss": 1.9368,
249
+ "step": 330
250
+ },
251
+ {
252
+ "epoch": 1.41,
253
+ "grad_norm": 7.650759696960449,
254
+ "learning_rate": 1.5873015873015873e-06,
255
+ "loss": 1.7748,
256
+ "step": 340
257
+ },
258
+ {
259
+ "epoch": 1.44,
260
+ "grad_norm": 8.465459823608398,
261
+ "learning_rate": 0.0,
262
+ "loss": 1.8411,
263
+ "step": 350
264
+ },
265
+ {
266
+ "epoch": 1.44,
267
+ "eval_accuracy": 0.14545454545454545,
268
+ "eval_loss": 1.8625677824020386,
269
+ "eval_runtime": 13.2287,
270
+ "eval_samples_per_second": 4.158,
271
+ "eval_steps_per_second": 2.117,
272
+ "step": 350
273
+ },
274
+ {
275
+ "epoch": 1.44,
276
+ "step": 350,
277
+ "total_flos": 8.710379865046057e+17,
278
+ "train_loss": 1.9500097220284598,
279
+ "train_runtime": 289.2328,
280
+ "train_samples_per_second": 2.42,
281
+ "train_steps_per_second": 1.21
282
+ },
283
+ {
284
+ "epoch": 1.44,
285
+ "eval_accuracy": 0.16911764705882354,
286
+ "eval_loss": 1.9171618223190308,
287
+ "eval_runtime": 33.8698,
288
+ "eval_samples_per_second": 4.015,
289
+ "eval_steps_per_second": 2.008,
290
+ "step": 350
291
+ },
292
+ {
293
+ "epoch": 1.44,
294
+ "eval_accuracy": 0.16911764705882354,
295
+ "eval_loss": 1.9171618223190308,
296
+ "eval_runtime": 34.3798,
297
+ "eval_samples_per_second": 3.956,
298
+ "eval_steps_per_second": 1.978,
299
+ "step": 350
300
+ }
301
+ ],
302
+ "logging_steps": 10,
303
+ "max_steps": 350,
304
+ "num_input_tokens_seen": 0,
305
+ "num_train_epochs": 9223372036854775807,
306
+ "save_steps": 500,
307
+ "total_flos": 8.710379865046057e+17,
308
+ "train_batch_size": 2,
309
+ "trial_name": null,
310
+ "trial_params": null
311
+ }