paul commited on
Commit
ae82612
1 Parent(s): a9e3c03

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.97,
3
+ "total_flos": 3.206521023309693e+18,
4
+ "train_loss": 0.16520703649148344,
5
+ "train_runtime": 938.1956,
6
+ "train_samples_per_second": 44.127,
7
+ "train_steps_per_second": 0.171
8
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:44de9b4edf122574df16f3a00f7f8de8c237b9f420de6efacca1634ae8be34a5
3
  size 343274861
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47633b06ce778902fb75f10ac1b0dac5363cd40f1d6f6d43ae5496ffa2aa8a24
3
  size 343274861
runs/Jan23_01-00-26_teesta/events.out.tfevents.1674415839.teesta.12792.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:03acc4e274421456c24c8790a06b9c8712c91b47945a645df62d07689c79547e
3
- size 15304
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cca0b87a25a00e6adff2cc51be1fdc9f6d20a69b42eca57a39b5158c3427b20
3
+ size 15658
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.97,
3
+ "total_flos": 3.206521023309693e+18,
4
+ "train_loss": 0.16520703649148344,
5
+ "train_runtime": 938.1956,
6
+ "train_samples_per_second": 44.127,
7
+ "train_steps_per_second": 0.171
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,361 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.908256880733945,
3
+ "best_model_checkpoint": "google-vit-base-patch16-224-cartoon-emotion-detection/checkpoint-128",
4
+ "epoch": 19.96969696969697,
5
+ "global_step": 160,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.97,
12
+ "eval_accuracy": 0.5779816513761468,
13
+ "eval_f1": 0.5496044478283086,
14
+ "eval_loss": 1.0942180156707764,
15
+ "eval_precision": 0.6101578737429934,
16
+ "eval_recall": 0.5779816513761468,
17
+ "eval_runtime": 6.1545,
18
+ "eval_samples_per_second": 17.711,
19
+ "eval_steps_per_second": 0.325,
20
+ "step": 8
21
+ },
22
+ {
23
+ "epoch": 1.24,
24
+ "learning_rate": 7.500000000000001e-05,
25
+ "loss": 1.3198,
26
+ "step": 10
27
+ },
28
+ {
29
+ "epoch": 1.97,
30
+ "eval_accuracy": 0.7614678899082569,
31
+ "eval_f1": 0.7493394355240011,
32
+ "eval_loss": 0.6914369463920593,
33
+ "eval_precision": 0.7497958611640302,
34
+ "eval_recall": 0.7614678899082569,
35
+ "eval_runtime": 4.6109,
36
+ "eval_samples_per_second": 23.64,
37
+ "eval_steps_per_second": 0.434,
38
+ "step": 16
39
+ },
40
+ {
41
+ "epoch": 2.48,
42
+ "learning_rate": 0.00011666666666666667,
43
+ "loss": 0.6694,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 2.97,
48
+ "eval_accuracy": 0.7889908256880734,
49
+ "eval_f1": 0.7780956547838787,
50
+ "eval_loss": 0.47017431259155273,
51
+ "eval_precision": 0.7808396335677842,
52
+ "eval_recall": 0.7889908256880734,
53
+ "eval_runtime": 5.0072,
54
+ "eval_samples_per_second": 21.769,
55
+ "eval_steps_per_second": 0.399,
56
+ "step": 24
57
+ },
58
+ {
59
+ "epoch": 3.73,
60
+ "learning_rate": 0.00010833333333333334,
61
+ "loss": 0.2725,
62
+ "step": 30
63
+ },
64
+ {
65
+ "epoch": 3.97,
66
+ "eval_accuracy": 0.8532110091743119,
67
+ "eval_f1": 0.852182928635528,
68
+ "eval_loss": 0.3957468569278717,
69
+ "eval_precision": 0.8513973454558302,
70
+ "eval_recall": 0.8532110091743119,
71
+ "eval_runtime": 5.1072,
72
+ "eval_samples_per_second": 21.342,
73
+ "eval_steps_per_second": 0.392,
74
+ "step": 32
75
+ },
76
+ {
77
+ "epoch": 4.97,
78
+ "learning_rate": 0.0001,
79
+ "loss": 0.1116,
80
+ "step": 40
81
+ },
82
+ {
83
+ "epoch": 4.97,
84
+ "eval_accuracy": 0.8715596330275229,
85
+ "eval_f1": 0.8693196656152253,
86
+ "eval_loss": 0.3428177833557129,
87
+ "eval_precision": 0.8696674261696613,
88
+ "eval_recall": 0.8715596330275229,
89
+ "eval_runtime": 4.6559,
90
+ "eval_samples_per_second": 23.411,
91
+ "eval_steps_per_second": 0.43,
92
+ "step": 40
93
+ },
94
+ {
95
+ "epoch": 5.97,
96
+ "eval_accuracy": 0.8532110091743119,
97
+ "eval_f1": 0.852182928635528,
98
+ "eval_loss": 0.38648203015327454,
99
+ "eval_precision": 0.8513973454558302,
100
+ "eval_recall": 0.8532110091743119,
101
+ "eval_runtime": 4.7748,
102
+ "eval_samples_per_second": 22.828,
103
+ "eval_steps_per_second": 0.419,
104
+ "step": 48
105
+ },
106
+ {
107
+ "epoch": 6.24,
108
+ "learning_rate": 9.166666666666667e-05,
109
+ "loss": 0.0486,
110
+ "step": 50
111
+ },
112
+ {
113
+ "epoch": 6.97,
114
+ "eval_accuracy": 0.8532110091743119,
115
+ "eval_f1": 0.8506716755357531,
116
+ "eval_loss": 0.3445301055908203,
117
+ "eval_precision": 0.8494739768520552,
118
+ "eval_recall": 0.8532110091743119,
119
+ "eval_runtime": 4.611,
120
+ "eval_samples_per_second": 23.639,
121
+ "eval_steps_per_second": 0.434,
122
+ "step": 56
123
+ },
124
+ {
125
+ "epoch": 7.48,
126
+ "learning_rate": 8.333333333333333e-05,
127
+ "loss": 0.0346,
128
+ "step": 60
129
+ },
130
+ {
131
+ "epoch": 7.97,
132
+ "eval_accuracy": 0.8807339449541285,
133
+ "eval_f1": 0.8831061019446504,
134
+ "eval_loss": 0.35539454221725464,
135
+ "eval_precision": 0.8921137072355041,
136
+ "eval_recall": 0.8807339449541285,
137
+ "eval_runtime": 5.4806,
138
+ "eval_samples_per_second": 19.888,
139
+ "eval_steps_per_second": 0.365,
140
+ "step": 64
141
+ },
142
+ {
143
+ "epoch": 8.73,
144
+ "learning_rate": 7.500000000000001e-05,
145
+ "loss": 0.0304,
146
+ "step": 70
147
+ },
148
+ {
149
+ "epoch": 8.97,
150
+ "eval_accuracy": 0.8623853211009175,
151
+ "eval_f1": 0.8605019312208758,
152
+ "eval_loss": 0.3100130259990692,
153
+ "eval_precision": 0.859227121302747,
154
+ "eval_recall": 0.8623853211009175,
155
+ "eval_runtime": 4.4858,
156
+ "eval_samples_per_second": 24.299,
157
+ "eval_steps_per_second": 0.446,
158
+ "step": 72
159
+ },
160
+ {
161
+ "epoch": 9.97,
162
+ "learning_rate": 6.666666666666667e-05,
163
+ "loss": 0.0215,
164
+ "step": 80
165
+ },
166
+ {
167
+ "epoch": 9.97,
168
+ "eval_accuracy": 0.8715596330275229,
169
+ "eval_f1": 0.8706535281458829,
170
+ "eval_loss": 0.3717760443687439,
171
+ "eval_precision": 0.8700050641259672,
172
+ "eval_recall": 0.8715596330275229,
173
+ "eval_runtime": 4.4596,
174
+ "eval_samples_per_second": 24.442,
175
+ "eval_steps_per_second": 0.448,
176
+ "step": 80
177
+ },
178
+ {
179
+ "epoch": 10.97,
180
+ "eval_accuracy": 0.8899082568807339,
181
+ "eval_f1": 0.8896213803351865,
182
+ "eval_loss": 0.3945842683315277,
183
+ "eval_precision": 0.8901151962474995,
184
+ "eval_recall": 0.8899082568807339,
185
+ "eval_runtime": 4.3806,
186
+ "eval_samples_per_second": 24.882,
187
+ "eval_steps_per_second": 0.457,
188
+ "step": 88
189
+ },
190
+ {
191
+ "epoch": 11.24,
192
+ "learning_rate": 5.833333333333333e-05,
193
+ "loss": 0.0201,
194
+ "step": 90
195
+ },
196
+ {
197
+ "epoch": 11.97,
198
+ "eval_accuracy": 0.8532110091743119,
199
+ "eval_f1": 0.8523968233405174,
200
+ "eval_loss": 0.45045793056488037,
201
+ "eval_precision": 0.8557594291539246,
202
+ "eval_recall": 0.8532110091743119,
203
+ "eval_runtime": 4.5094,
204
+ "eval_samples_per_second": 24.172,
205
+ "eval_steps_per_second": 0.444,
206
+ "step": 96
207
+ },
208
+ {
209
+ "epoch": 12.48,
210
+ "learning_rate": 5e-05,
211
+ "loss": 0.02,
212
+ "step": 100
213
+ },
214
+ {
215
+ "epoch": 12.97,
216
+ "eval_accuracy": 0.8715596330275229,
217
+ "eval_f1": 0.8718071382402676,
218
+ "eval_loss": 0.45429742336273193,
219
+ "eval_precision": 0.8734266859810075,
220
+ "eval_recall": 0.8715596330275229,
221
+ "eval_runtime": 4.3136,
222
+ "eval_samples_per_second": 25.269,
223
+ "eval_steps_per_second": 0.464,
224
+ "step": 104
225
+ },
226
+ {
227
+ "epoch": 13.73,
228
+ "learning_rate": 4.1666666666666665e-05,
229
+ "loss": 0.0181,
230
+ "step": 110
231
+ },
232
+ {
233
+ "epoch": 13.97,
234
+ "eval_accuracy": 0.8899082568807339,
235
+ "eval_f1": 0.8884082118557669,
236
+ "eval_loss": 0.38368093967437744,
237
+ "eval_precision": 0.887776250789288,
238
+ "eval_recall": 0.8899082568807339,
239
+ "eval_runtime": 5.0241,
240
+ "eval_samples_per_second": 21.695,
241
+ "eval_steps_per_second": 0.398,
242
+ "step": 112
243
+ },
244
+ {
245
+ "epoch": 14.97,
246
+ "learning_rate": 3.3333333333333335e-05,
247
+ "loss": 0.0158,
248
+ "step": 120
249
+ },
250
+ {
251
+ "epoch": 14.97,
252
+ "eval_accuracy": 0.8715596330275229,
253
+ "eval_f1": 0.8690629924501888,
254
+ "eval_loss": 0.39043566584587097,
255
+ "eval_precision": 0.8676131770089379,
256
+ "eval_recall": 0.8715596330275229,
257
+ "eval_runtime": 4.6243,
258
+ "eval_samples_per_second": 23.571,
259
+ "eval_steps_per_second": 0.432,
260
+ "step": 120
261
+ },
262
+ {
263
+ "epoch": 15.97,
264
+ "eval_accuracy": 0.908256880733945,
265
+ "eval_f1": 0.9076765848444429,
266
+ "eval_loss": 0.38814032077789307,
267
+ "eval_precision": 0.9077606207554442,
268
+ "eval_recall": 0.908256880733945,
269
+ "eval_runtime": 4.4737,
270
+ "eval_samples_per_second": 24.364,
271
+ "eval_steps_per_second": 0.447,
272
+ "step": 128
273
+ },
274
+ {
275
+ "epoch": 16.24,
276
+ "learning_rate": 2.5e-05,
277
+ "loss": 0.0147,
278
+ "step": 130
279
+ },
280
+ {
281
+ "epoch": 16.97,
282
+ "eval_accuracy": 0.8807339449541285,
283
+ "eval_f1": 0.8785402173459473,
284
+ "eval_loss": 0.4233301281929016,
285
+ "eval_precision": 0.877296042811741,
286
+ "eval_recall": 0.8807339449541285,
287
+ "eval_runtime": 5.5943,
288
+ "eval_samples_per_second": 19.484,
289
+ "eval_steps_per_second": 0.358,
290
+ "step": 136
291
+ },
292
+ {
293
+ "epoch": 17.48,
294
+ "learning_rate": 1.6666666666666667e-05,
295
+ "loss": 0.0138,
296
+ "step": 140
297
+ },
298
+ {
299
+ "epoch": 17.97,
300
+ "eval_accuracy": 0.8715596330275229,
301
+ "eval_f1": 0.8706535281458829,
302
+ "eval_loss": 0.4334617853164673,
303
+ "eval_precision": 0.8700050641259672,
304
+ "eval_recall": 0.8715596330275229,
305
+ "eval_runtime": 4.4249,
306
+ "eval_samples_per_second": 24.634,
307
+ "eval_steps_per_second": 0.452,
308
+ "step": 144
309
+ },
310
+ {
311
+ "epoch": 18.73,
312
+ "learning_rate": 8.333333333333334e-06,
313
+ "loss": 0.0166,
314
+ "step": 150
315
+ },
316
+ {
317
+ "epoch": 18.97,
318
+ "eval_accuracy": 0.8715596330275229,
319
+ "eval_f1": 0.8701110574601642,
320
+ "eval_loss": 0.44918692111968994,
321
+ "eval_precision": 0.8689788374764814,
322
+ "eval_recall": 0.8715596330275229,
323
+ "eval_runtime": 4.6129,
324
+ "eval_samples_per_second": 23.629,
325
+ "eval_steps_per_second": 0.434,
326
+ "step": 152
327
+ },
328
+ {
329
+ "epoch": 19.97,
330
+ "learning_rate": 0.0,
331
+ "loss": 0.016,
332
+ "step": 160
333
+ },
334
+ {
335
+ "epoch": 19.97,
336
+ "eval_accuracy": 0.8715596330275229,
337
+ "eval_f1": 0.871683140929764,
338
+ "eval_loss": 0.4169996976852417,
339
+ "eval_precision": 0.8725197999744695,
340
+ "eval_recall": 0.8715596330275229,
341
+ "eval_runtime": 4.5712,
342
+ "eval_samples_per_second": 23.845,
343
+ "eval_steps_per_second": 0.438,
344
+ "step": 160
345
+ },
346
+ {
347
+ "epoch": 19.97,
348
+ "step": 160,
349
+ "total_flos": 3.206521023309693e+18,
350
+ "train_loss": 0.16520703649148344,
351
+ "train_runtime": 938.1956,
352
+ "train_samples_per_second": 44.127,
353
+ "train_steps_per_second": 0.171
354
+ }
355
+ ],
356
+ "max_steps": 160,
357
+ "num_train_epochs": 20,
358
+ "total_flos": 3.206521023309693e+18,
359
+ "trial_name": null,
360
+ "trial_params": null
361
+ }