apwic commited on
Commit
d2c268d
1 Parent(s): 9832006

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  license: mit
3
  base_model: indolem/indobert-base-uncased
4
  tags:
 
1
  ---
2
+ language:
3
+ - id
4
  license: mit
5
  base_model: indolem/indobert-base-uncased
6
  tags:
all_results.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9577163867633907,
4
+ "eval_f1": 0.7951935914552738,
5
+ "eval_loss": 0.13010983169078827,
6
+ "eval_precision": 0.7356719367588933,
7
+ "eval_recall": 0.8651946542707728,
8
+ "eval_runtime": 4.479,
9
+ "eval_samples": 935,
10
+ "eval_samples_per_second": 208.754,
11
+ "eval_steps_per_second": 3.349,
12
+ "predict_accuracy": 0.9682748991622712,
13
+ "predict_f1": 0.8232300884955752,
14
+ "predict_loss": 0.09529619663953781,
15
+ "predict_precision": 0.7771512113617377,
16
+ "predict_recall": 0.8751175917215428,
17
+ "predict_runtime": 10.4874,
18
+ "predict_samples_per_second": 223.411,
19
+ "predict_steps_per_second": 3.528,
20
+ "train_loss": 0.17260197039806482,
21
+ "train_runtime": 1230.9591,
22
+ "train_samples": 8437,
23
+ "train_samples_per_second": 137.08,
24
+ "train_steps_per_second": 8.579
25
+ }
eval_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9577163867633907,
4
+ "eval_f1": 0.7951935914552738,
5
+ "eval_loss": 0.13010983169078827,
6
+ "eval_precision": 0.7356719367588933,
7
+ "eval_recall": 0.8651946542707728,
8
+ "eval_runtime": 4.479,
9
+ "eval_samples": 935,
10
+ "eval_samples_per_second": 208.754,
11
+ "eval_steps_per_second": 3.349
12
+ }
predict_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "predict_accuracy": 0.9682748991622712,
3
+ "predict_f1": 0.8232300884955752,
4
+ "predict_loss": 0.09529619663953781,
5
+ "predict_precision": 0.7771512113617377,
6
+ "predict_recall": 0.8751175917215428,
7
+ "predict_runtime": 10.4874,
8
+ "predict_samples_per_second": 223.411,
9
+ "predict_steps_per_second": 3.528
10
+ }
predictions.txt ADDED
The diff for this file is too large to render. See raw diff
 
runs/May24_22-36-40_indolem-petl-vm/events.out.tfevents.1716591447.indolem-petl-vm.1767874.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ffb84e15a6fe5ab6be7bbffe8bc7fa5048c95b1a3e48ccbb70f5cbb9d711bf9d
3
+ size 560
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 0.17260197039806482,
4
+ "train_runtime": 1230.9591,
5
+ "train_samples": 8437,
6
+ "train_samples_per_second": 137.08,
7
+ "train_steps_per_second": 8.579
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "eval_steps": 500,
6
+ "global_step": 10560,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "grad_norm": 1.3234807252883911,
14
+ "learning_rate": 4.75e-05,
15
+ "loss": 0.7663,
16
+ "step": 528
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_accuracy": 0.8658948623670873,
21
+ "eval_f1": 0.17383431416930736,
22
+ "eval_loss": 0.43804919719696045,
23
+ "eval_precision": 0.39344262295081966,
24
+ "eval_recall": 0.1115630447414294,
25
+ "eval_runtime": 4.4497,
26
+ "eval_samples_per_second": 210.127,
27
+ "eval_steps_per_second": 3.371,
28
+ "step": 528
29
+ },
30
+ {
31
+ "epoch": 2.0,
32
+ "grad_norm": 0.9100218415260315,
33
+ "learning_rate": 4.5e-05,
34
+ "loss": 0.3481,
35
+ "step": 1056
36
+ },
37
+ {
38
+ "epoch": 2.0,
39
+ "eval_accuracy": 0.9338666401669482,
40
+ "eval_f1": 0.6638874413757164,
41
+ "eval_loss": 0.22202354669570923,
42
+ "eval_precision": 0.6017949929145017,
43
+ "eval_recall": 0.7402672864613596,
44
+ "eval_runtime": 4.5326,
45
+ "eval_samples_per_second": 206.282,
46
+ "eval_steps_per_second": 3.309,
47
+ "step": 1056
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "grad_norm": 1.4061142206192017,
52
+ "learning_rate": 4.25e-05,
53
+ "loss": 0.2139,
54
+ "step": 1584
55
+ },
56
+ {
57
+ "epoch": 3.0,
58
+ "eval_accuracy": 0.9400278247043625,
59
+ "eval_f1": 0.7339308578745198,
60
+ "eval_loss": 0.17896419763565063,
61
+ "eval_precision": 0.6561355311355311,
62
+ "eval_recall": 0.8326554328878559,
63
+ "eval_runtime": 4.5296,
64
+ "eval_samples_per_second": 206.418,
65
+ "eval_steps_per_second": 3.312,
66
+ "step": 1584
67
+ },
68
+ {
69
+ "epoch": 4.0,
70
+ "grad_norm": 2.0871784687042236,
71
+ "learning_rate": 4e-05,
72
+ "loss": 0.1777,
73
+ "step": 2112
74
+ },
75
+ {
76
+ "epoch": 4.0,
77
+ "eval_accuracy": 0.9511577064493689,
78
+ "eval_f1": 0.7799841143764892,
79
+ "eval_loss": 0.1534842550754547,
80
+ "eval_precision": 0.7164396887159533,
81
+ "eval_recall": 0.8558977338756537,
82
+ "eval_runtime": 4.531,
83
+ "eval_samples_per_second": 206.356,
84
+ "eval_steps_per_second": 3.311,
85
+ "step": 2112
86
+ },
87
+ {
88
+ "epoch": 5.0,
89
+ "grad_norm": 1.1403982639312744,
90
+ "learning_rate": 3.7500000000000003e-05,
91
+ "loss": 0.1578,
92
+ "step": 2640
93
+ },
94
+ {
95
+ "epoch": 5.0,
96
+ "eval_accuracy": 0.9535426811090132,
97
+ "eval_f1": 0.797761790567546,
98
+ "eval_loss": 0.1444850116968155,
99
+ "eval_precision": 0.7367125984251969,
100
+ "eval_recall": 0.8698431144683324,
101
+ "eval_runtime": 4.519,
102
+ "eval_samples_per_second": 206.903,
103
+ "eval_steps_per_second": 3.319,
104
+ "step": 2640
105
+ },
106
+ {
107
+ "epoch": 6.0,
108
+ "grad_norm": 1.446531057357788,
109
+ "learning_rate": 3.5e-05,
110
+ "loss": 0.1469,
111
+ "step": 3168
112
+ },
113
+ {
114
+ "epoch": 6.0,
115
+ "eval_accuracy": 0.9535426811090132,
116
+ "eval_f1": 0.7861060329067641,
117
+ "eval_loss": 0.1441143900156021,
118
+ "eval_precision": 0.7139468690702088,
119
+ "eval_recall": 0.8744915746658919,
120
+ "eval_runtime": 4.4888,
121
+ "eval_samples_per_second": 208.297,
122
+ "eval_steps_per_second": 3.342,
123
+ "step": 3168
124
+ },
125
+ {
126
+ "epoch": 7.0,
127
+ "grad_norm": 3.257020950317383,
128
+ "learning_rate": 3.2500000000000004e-05,
129
+ "loss": 0.1399,
130
+ "step": 3696
131
+ },
132
+ {
133
+ "epoch": 7.0,
134
+ "eval_accuracy": 0.9523501937791911,
135
+ "eval_f1": 0.7919812548815414,
136
+ "eval_loss": 0.14534059166908264,
137
+ "eval_precision": 0.7174528301886792,
138
+ "eval_recall": 0.8837884950610111,
139
+ "eval_runtime": 4.5376,
140
+ "eval_samples_per_second": 206.054,
141
+ "eval_steps_per_second": 3.306,
142
+ "step": 3696
143
+ },
144
+ {
145
+ "epoch": 8.0,
146
+ "grad_norm": 0.8136665225028992,
147
+ "learning_rate": 3e-05,
148
+ "loss": 0.1333,
149
+ "step": 4224
150
+ },
151
+ {
152
+ "epoch": 8.0,
153
+ "eval_accuracy": 0.9547351684388353,
154
+ "eval_f1": 0.7994743758212879,
155
+ "eval_loss": 0.14028875529766083,
156
+ "eval_precision": 0.7298464491362764,
157
+ "eval_recall": 0.8837884950610111,
158
+ "eval_runtime": 4.5281,
159
+ "eval_samples_per_second": 206.486,
160
+ "eval_steps_per_second": 3.313,
161
+ "step": 4224
162
+ },
163
+ {
164
+ "epoch": 9.0,
165
+ "grad_norm": 1.5226961374282837,
166
+ "learning_rate": 2.7500000000000004e-05,
167
+ "loss": 0.1273,
168
+ "step": 4752
169
+ },
170
+ {
171
+ "epoch": 9.0,
172
+ "eval_accuracy": 0.9563251515452649,
173
+ "eval_f1": 0.7998934185984545,
174
+ "eval_loss": 0.13680371642112732,
175
+ "eval_precision": 0.7386811023622047,
176
+ "eval_recall": 0.8721673445671121,
177
+ "eval_runtime": 4.8276,
178
+ "eval_samples_per_second": 193.679,
179
+ "eval_steps_per_second": 3.107,
180
+ "step": 4752
181
+ },
182
+ {
183
+ "epoch": 10.0,
184
+ "grad_norm": 1.3885184526443481,
185
+ "learning_rate": 2.5e-05,
186
+ "loss": 0.1246,
187
+ "step": 5280
188
+ },
189
+ {
190
+ "epoch": 10.0,
191
+ "eval_accuracy": 0.9569213952101759,
192
+ "eval_f1": 0.8041566746602716,
193
+ "eval_loss": 0.1341899335384369,
194
+ "eval_precision": 0.7426181102362205,
195
+ "eval_recall": 0.8768158047646717,
196
+ "eval_runtime": 4.8281,
197
+ "eval_samples_per_second": 193.657,
198
+ "eval_steps_per_second": 3.107,
199
+ "step": 5280
200
+ },
201
+ {
202
+ "epoch": 11.0,
203
+ "grad_norm": 2.2650506496429443,
204
+ "learning_rate": 2.25e-05,
205
+ "loss": 0.1195,
206
+ "step": 5808
207
+ },
208
+ {
209
+ "epoch": 11.0,
210
+ "eval_accuracy": 0.9571201430984796,
211
+ "eval_f1": 0.8011649457241197,
212
+ "eval_loss": 0.13513582944869995,
213
+ "eval_precision": 0.7358949416342413,
214
+ "eval_recall": 0.8791400348634515,
215
+ "eval_runtime": 4.5526,
216
+ "eval_samples_per_second": 205.379,
217
+ "eval_steps_per_second": 3.295,
218
+ "step": 5808
219
+ },
220
+ {
221
+ "epoch": 12.0,
222
+ "grad_norm": 1.5340452194213867,
223
+ "learning_rate": 2e-05,
224
+ "loss": 0.1172,
225
+ "step": 6336
226
+ },
227
+ {
228
+ "epoch": 12.0,
229
+ "eval_accuracy": 0.9573188909867832,
230
+ "eval_f1": 0.8020143122183939,
231
+ "eval_loss": 0.13494175672531128,
232
+ "eval_precision": 0.7373294346978557,
233
+ "eval_recall": 0.8791400348634515,
234
+ "eval_runtime": 4.563,
235
+ "eval_samples_per_second": 204.908,
236
+ "eval_steps_per_second": 3.287,
237
+ "step": 6336
238
+ },
239
+ {
240
+ "epoch": 13.0,
241
+ "grad_norm": 1.7720882892608643,
242
+ "learning_rate": 1.75e-05,
243
+ "loss": 0.1155,
244
+ "step": 6864
245
+ },
246
+ {
247
+ "epoch": 13.0,
248
+ "eval_accuracy": 0.958113882539998,
249
+ "eval_f1": 0.805014670578821,
250
+ "eval_loss": 0.12961605191230774,
251
+ "eval_precision": 0.7440828402366864,
252
+ "eval_recall": 0.8768158047646717,
253
+ "eval_runtime": 4.5551,
254
+ "eval_samples_per_second": 205.265,
255
+ "eval_steps_per_second": 3.293,
256
+ "step": 6864
257
+ },
258
+ {
259
+ "epoch": 14.0,
260
+ "grad_norm": 1.088473916053772,
261
+ "learning_rate": 1.5e-05,
262
+ "loss": 0.1118,
263
+ "step": 7392
264
+ },
265
+ {
266
+ "epoch": 14.0,
267
+ "eval_accuracy": 0.9577163867633907,
268
+ "eval_f1": 0.797761790567546,
269
+ "eval_loss": 0.13024814426898956,
270
+ "eval_precision": 0.7367125984251969,
271
+ "eval_recall": 0.8698431144683324,
272
+ "eval_runtime": 4.5273,
273
+ "eval_samples_per_second": 206.527,
274
+ "eval_steps_per_second": 3.313,
275
+ "step": 7392
276
+ },
277
+ {
278
+ "epoch": 15.0,
279
+ "grad_norm": 1.3462263345718384,
280
+ "learning_rate": 1.25e-05,
281
+ "loss": 0.1111,
282
+ "step": 7920
283
+ },
284
+ {
285
+ "epoch": 15.0,
286
+ "eval_accuracy": 0.9577163867633907,
287
+ "eval_f1": 0.8041566746602716,
288
+ "eval_loss": 0.13221099972724915,
289
+ "eval_precision": 0.7426181102362205,
290
+ "eval_recall": 0.8768158047646717,
291
+ "eval_runtime": 4.5319,
292
+ "eval_samples_per_second": 206.317,
293
+ "eval_steps_per_second": 3.31,
294
+ "step": 7920
295
+ },
296
+ {
297
+ "epoch": 16.0,
298
+ "grad_norm": 1.848177433013916,
299
+ "learning_rate": 1e-05,
300
+ "loss": 0.1097,
301
+ "step": 8448
302
+ },
303
+ {
304
+ "epoch": 16.0,
305
+ "eval_accuracy": 0.9577163867633907,
306
+ "eval_f1": 0.7969124301304232,
307
+ "eval_loss": 0.1302962750196457,
308
+ "eval_precision": 0.7352652259332023,
309
+ "eval_recall": 0.8698431144683324,
310
+ "eval_runtime": 4.6208,
311
+ "eval_samples_per_second": 202.344,
312
+ "eval_steps_per_second": 3.246,
313
+ "step": 8448
314
+ },
315
+ {
316
+ "epoch": 17.0,
317
+ "grad_norm": 1.2858753204345703,
318
+ "learning_rate": 7.5e-06,
319
+ "loss": 0.1094,
320
+ "step": 8976
321
+ },
322
+ {
323
+ "epoch": 17.0,
324
+ "eval_accuracy": 0.9573188909867832,
325
+ "eval_f1": 0.7973439575033201,
326
+ "eval_loss": 0.13064691424369812,
327
+ "eval_precision": 0.7343444227005871,
328
+ "eval_recall": 0.8721673445671121,
329
+ "eval_runtime": 4.5402,
330
+ "eval_samples_per_second": 205.938,
331
+ "eval_steps_per_second": 3.304,
332
+ "step": 8976
333
+ },
334
+ {
335
+ "epoch": 18.0,
336
+ "grad_norm": 1.495869755744934,
337
+ "learning_rate": 5e-06,
338
+ "loss": 0.1077,
339
+ "step": 9504
340
+ },
341
+ {
342
+ "epoch": 18.0,
343
+ "eval_accuracy": 0.9577163867633907,
344
+ "eval_f1": 0.7990417886611658,
345
+ "eval_loss": 0.13186967372894287,
346
+ "eval_precision": 0.7372298624754421,
347
+ "eval_recall": 0.8721673445671121,
348
+ "eval_runtime": 4.5414,
349
+ "eval_samples_per_second": 205.882,
350
+ "eval_steps_per_second": 3.303,
351
+ "step": 9504
352
+ },
353
+ {
354
+ "epoch": 19.0,
355
+ "grad_norm": 0.5424643754959106,
356
+ "learning_rate": 2.5e-06,
357
+ "loss": 0.1065,
358
+ "step": 10032
359
+ },
360
+ {
361
+ "epoch": 19.0,
362
+ "eval_accuracy": 0.9577163867633907,
363
+ "eval_f1": 0.7973297730307075,
364
+ "eval_loss": 0.12963254749774933,
365
+ "eval_precision": 0.7376482213438735,
366
+ "eval_recall": 0.8675188843695526,
367
+ "eval_runtime": 4.5053,
368
+ "eval_samples_per_second": 207.533,
369
+ "eval_steps_per_second": 3.329,
370
+ "step": 10032
371
+ },
372
+ {
373
+ "epoch": 20.0,
374
+ "grad_norm": 1.9210747480392456,
375
+ "learning_rate": 0.0,
376
+ "loss": 0.1078,
377
+ "step": 10560
378
+ },
379
+ {
380
+ "epoch": 20.0,
381
+ "eval_accuracy": 0.9577163867633907,
382
+ "eval_f1": 0.7951935914552738,
383
+ "eval_loss": 0.13010983169078827,
384
+ "eval_precision": 0.7356719367588933,
385
+ "eval_recall": 0.8651946542707728,
386
+ "eval_runtime": 4.5258,
387
+ "eval_samples_per_second": 206.594,
388
+ "eval_steps_per_second": 3.314,
389
+ "step": 10560
390
+ },
391
+ {
392
+ "epoch": 20.0,
393
+ "step": 10560,
394
+ "total_flos": 4545096690358590.0,
395
+ "train_loss": 0.17260197039806482,
396
+ "train_runtime": 1230.9591,
397
+ "train_samples_per_second": 137.08,
398
+ "train_steps_per_second": 8.579
399
+ }
400
+ ],
401
+ "logging_steps": 500,
402
+ "max_steps": 10560,
403
+ "num_input_tokens_seen": 0,
404
+ "num_train_epochs": 20,
405
+ "save_steps": 500,
406
+ "total_flos": 4545096690358590.0,
407
+ "train_batch_size": 16,
408
+ "trial_name": null,
409
+ "trial_params": null
410
+ }