apwic commited on
Commit
94a2fcb
1 Parent(s): 09c2f93

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": 0.9578654476796185,
4
+ "eval_f1": 0.800106894708712,
5
+ "eval_loss": 0.1304602026939392,
6
+ "eval_precision": 0.7407224146462148,
7
+ "eval_recall": 0.8698431144683324,
8
+ "eval_runtime": 4.4311,
9
+ "eval_samples": 935,
10
+ "eval_samples_per_second": 211.006,
11
+ "eval_steps_per_second": 3.385,
12
+ "predict_accuracy": 0.968352466645982,
13
+ "predict_f1": 0.8217996904709264,
14
+ "predict_loss": 0.09529992192983627,
15
+ "predict_precision": 0.7753441802252816,
16
+ "predict_recall": 0.8741768579492004,
17
+ "predict_runtime": 10.5223,
18
+ "predict_samples_per_second": 222.67,
19
+ "predict_steps_per_second": 3.516,
20
+ "train_loss": 0.17226147796168473,
21
+ "train_runtime": 1232.2015,
22
+ "train_samples": 8437,
23
+ "train_samples_per_second": 136.942,
24
+ "train_steps_per_second": 8.57
25
+ }
eval_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_accuracy": 0.9578654476796185,
4
+ "eval_f1": 0.800106894708712,
5
+ "eval_loss": 0.1304602026939392,
6
+ "eval_precision": 0.7407224146462148,
7
+ "eval_recall": 0.8698431144683324,
8
+ "eval_runtime": 4.4311,
9
+ "eval_samples": 935,
10
+ "eval_samples_per_second": 211.006,
11
+ "eval_steps_per_second": 3.385
12
+ }
predict_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "predict_accuracy": 0.968352466645982,
3
+ "predict_f1": 0.8217996904709264,
4
+ "predict_loss": 0.09529992192983627,
5
+ "predict_precision": 0.7753441802252816,
6
+ "predict_recall": 0.8741768579492004,
7
+ "predict_runtime": 10.5223,
8
+ "predict_samples_per_second": 222.67,
9
+ "predict_steps_per_second": 3.516
10
+ }
predictions.txt ADDED
The diff for this file is too large to render. See raw diff
 
runs/May24_21-54-09_indolem-petl-vm/events.out.tfevents.1716588898.indolem-petl-vm.1742936.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ed4a5e1859505de055adef00c49c779eb98255a5f10cd0d70fd2f2b0a1f6eb2
3
+ size 560
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 0.17226147796168473,
4
+ "train_runtime": 1232.2015,
5
+ "train_samples": 8437,
6
+ "train_samples_per_second": 136.942,
7
+ "train_steps_per_second": 8.57
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": 1.2974101305007935,
14
+ "learning_rate": 4.75e-05,
15
+ "loss": 0.7682,
16
+ "step": 528
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_accuracy": 0.8662923581436948,
21
+ "eval_f1": 0.18337078651685396,
22
+ "eval_loss": 0.43944087624549866,
23
+ "eval_precision": 0.40476190476190477,
24
+ "eval_recall": 0.11853573503776874,
25
+ "eval_runtime": 4.4284,
26
+ "eval_samples_per_second": 211.139,
27
+ "eval_steps_per_second": 3.387,
28
+ "step": 528
29
+ },
30
+ {
31
+ "epoch": 2.0,
32
+ "grad_norm": 0.8939604759216309,
33
+ "learning_rate": 4.5e-05,
34
+ "loss": 0.3466,
35
+ "step": 1056
36
+ },
37
+ {
38
+ "epoch": 2.0,
39
+ "eval_accuracy": 0.9326741528371261,
40
+ "eval_f1": 0.6631853785900783,
41
+ "eval_loss": 0.22170819342136383,
42
+ "eval_precision": 0.602181128496918,
43
+ "eval_recall": 0.7379430563625798,
44
+ "eval_runtime": 4.5532,
45
+ "eval_samples_per_second": 205.352,
46
+ "eval_steps_per_second": 3.294,
47
+ "step": 1056
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "grad_norm": 1.3257710933685303,
52
+ "learning_rate": 4.25e-05,
53
+ "loss": 0.2131,
54
+ "step": 1584
55
+ },
56
+ {
57
+ "epoch": 3.0,
58
+ "eval_accuracy": 0.9428102951406141,
59
+ "eval_f1": 0.7492870106300232,
60
+ "eval_loss": 0.172767773270607,
61
+ "eval_precision": 0.6764981273408239,
62
+ "eval_recall": 0.8396281231841952,
63
+ "eval_runtime": 4.5493,
64
+ "eval_samples_per_second": 205.524,
65
+ "eval_steps_per_second": 3.297,
66
+ "step": 1584
67
+ },
68
+ {
69
+ "epoch": 4.0,
70
+ "grad_norm": 1.8121825456619263,
71
+ "learning_rate": 4e-05,
72
+ "loss": 0.1759,
73
+ "step": 2112
74
+ },
75
+ {
76
+ "epoch": 4.0,
77
+ "eval_accuracy": 0.9515552022259763,
78
+ "eval_f1": 0.7833023132145706,
79
+ "eval_loss": 0.15085110068321228,
80
+ "eval_precision": 0.7220588235294118,
81
+ "eval_recall": 0.8558977338756537,
82
+ "eval_runtime": 4.521,
83
+ "eval_samples_per_second": 206.812,
84
+ "eval_steps_per_second": 3.318,
85
+ "step": 2112
86
+ },
87
+ {
88
+ "epoch": 5.0,
89
+ "grad_norm": 1.214239478111267,
90
+ "learning_rate": 3.7500000000000003e-05,
91
+ "loss": 0.1563,
92
+ "step": 2640
93
+ },
94
+ {
95
+ "epoch": 5.0,
96
+ "eval_accuracy": 0.9533439332207095,
97
+ "eval_f1": 0.7900773539610563,
98
+ "eval_loss": 0.14215560257434845,
99
+ "eval_precision": 0.730276134122288,
100
+ "eval_recall": 0.8605461940732132,
101
+ "eval_runtime": 4.5301,
102
+ "eval_samples_per_second": 206.395,
103
+ "eval_steps_per_second": 3.311,
104
+ "step": 2640
105
+ },
106
+ {
107
+ "epoch": 6.0,
108
+ "grad_norm": 1.626373291015625,
109
+ "learning_rate": 3.5e-05,
110
+ "loss": 0.1464,
111
+ "step": 3168
112
+ },
113
+ {
114
+ "epoch": 6.0,
115
+ "eval_accuracy": 0.9541389247739243,
116
+ "eval_f1": 0.7889618922470434,
117
+ "eval_loss": 0.14294518530368805,
118
+ "eval_precision": 0.7202495201535508,
119
+ "eval_recall": 0.8721673445671121,
120
+ "eval_runtime": 4.5011,
121
+ "eval_samples_per_second": 207.727,
122
+ "eval_steps_per_second": 3.333,
123
+ "step": 3168
124
+ },
125
+ {
126
+ "epoch": 7.0,
127
+ "grad_norm": 3.158684015274048,
128
+ "learning_rate": 3.2500000000000004e-05,
129
+ "loss": 0.1394,
130
+ "step": 3696
131
+ },
132
+ {
133
+ "epoch": 7.0,
134
+ "eval_accuracy": 0.9525489416674948,
135
+ "eval_f1": 0.7869281045751634,
136
+ "eval_loss": 0.14403149485588074,
137
+ "eval_precision": 0.7153041825095057,
138
+ "eval_recall": 0.8744915746658919,
139
+ "eval_runtime": 4.535,
140
+ "eval_samples_per_second": 206.174,
141
+ "eval_steps_per_second": 3.308,
142
+ "step": 3696
143
+ },
144
+ {
145
+ "epoch": 8.0,
146
+ "grad_norm": 0.7790516018867493,
147
+ "learning_rate": 3e-05,
148
+ "loss": 0.1325,
149
+ "step": 4224
150
+ },
151
+ {
152
+ "epoch": 8.0,
153
+ "eval_accuracy": 0.9553314121037464,
154
+ "eval_f1": 0.796106287818995,
155
+ "eval_loss": 0.1397974044084549,
156
+ "eval_precision": 0.7274038461538461,
157
+ "eval_recall": 0.8791400348634515,
158
+ "eval_runtime": 4.5409,
159
+ "eval_samples_per_second": 205.906,
160
+ "eval_steps_per_second": 3.303,
161
+ "step": 4224
162
+ },
163
+ {
164
+ "epoch": 9.0,
165
+ "grad_norm": 1.278489589691162,
166
+ "learning_rate": 2.7500000000000004e-05,
167
+ "loss": 0.1269,
168
+ "step": 4752
169
+ },
170
+ {
171
+ "epoch": 9.0,
172
+ "eval_accuracy": 0.9579151346516943,
173
+ "eval_f1": 0.7998928475756765,
174
+ "eval_loss": 0.13412921130657196,
175
+ "eval_precision": 0.7420477137176938,
176
+ "eval_recall": 0.8675188843695526,
177
+ "eval_runtime": 4.5051,
178
+ "eval_samples_per_second": 207.541,
179
+ "eval_steps_per_second": 3.33,
180
+ "step": 4752
181
+ },
182
+ {
183
+ "epoch": 10.0,
184
+ "grad_norm": 1.4628835916519165,
185
+ "learning_rate": 2.5e-05,
186
+ "loss": 0.124,
187
+ "step": 5280
188
+ },
189
+ {
190
+ "epoch": 10.0,
191
+ "eval_accuracy": 0.9564742124614926,
192
+ "eval_f1": 0.8013807753584705,
193
+ "eval_loss": 0.13306674361228943,
194
+ "eval_precision": 0.7378973105134474,
195
+ "eval_recall": 0.8768158047646717,
196
+ "eval_runtime": 4.4999,
197
+ "eval_samples_per_second": 207.782,
198
+ "eval_steps_per_second": 3.333,
199
+ "step": 5280
200
+ },
201
+ {
202
+ "epoch": 11.0,
203
+ "grad_norm": 2.4508931636810303,
204
+ "learning_rate": 2.25e-05,
205
+ "loss": 0.1194,
206
+ "step": 5808
207
+ },
208
+ {
209
+ "epoch": 11.0,
210
+ "eval_accuracy": 0.9568717082381,
211
+ "eval_f1": 0.803921568627451,
212
+ "eval_loss": 0.13287858664989471,
213
+ "eval_precision": 0.7389186556259133,
214
+ "eval_recall": 0.8814642649622313,
215
+ "eval_runtime": 5.1129,
216
+ "eval_samples_per_second": 182.87,
217
+ "eval_steps_per_second": 2.934,
218
+ "step": 5808
219
+ },
220
+ {
221
+ "epoch": 12.0,
222
+ "grad_norm": 1.7830716371536255,
223
+ "learning_rate": 2e-05,
224
+ "loss": 0.1171,
225
+ "step": 6336
226
+ },
227
+ {
228
+ "epoch": 12.0,
229
+ "eval_accuracy": 0.9566729603497963,
230
+ "eval_f1": 0.8026525198938992,
231
+ "eval_loss": 0.13365061581134796,
232
+ "eval_precision": 0.7384089799902391,
233
+ "eval_recall": 0.8791400348634515,
234
+ "eval_runtime": 4.5464,
235
+ "eval_samples_per_second": 205.658,
236
+ "eval_steps_per_second": 3.299,
237
+ "step": 6336
238
+ },
239
+ {
240
+ "epoch": 13.0,
241
+ "grad_norm": 2.1622517108917236,
242
+ "learning_rate": 1.75e-05,
243
+ "loss": 0.1153,
244
+ "step": 6864
245
+ },
246
+ {
247
+ "epoch": 13.0,
248
+ "eval_accuracy": 0.9586604392328332,
249
+ "eval_f1": 0.8043826830571886,
250
+ "eval_loss": 0.129431813955307,
251
+ "eval_precision": 0.7446808510638298,
252
+ "eval_recall": 0.8744915746658919,
253
+ "eval_runtime": 4.5409,
254
+ "eval_samples_per_second": 205.908,
255
+ "eval_steps_per_second": 3.303,
256
+ "step": 6864
257
+ },
258
+ {
259
+ "epoch": 14.0,
260
+ "grad_norm": 1.1562857627868652,
261
+ "learning_rate": 1.5e-05,
262
+ "loss": 0.1119,
263
+ "step": 7392
264
+ },
265
+ {
266
+ "epoch": 14.0,
267
+ "eval_accuracy": 0.9572692040147074,
268
+ "eval_f1": 0.807794981313401,
269
+ "eval_loss": 0.13104024529457092,
270
+ "eval_precision": 0.7471604938271605,
271
+ "eval_recall": 0.8791400348634515,
272
+ "eval_runtime": 4.5093,
273
+ "eval_samples_per_second": 207.349,
274
+ "eval_steps_per_second": 3.326,
275
+ "step": 7392
276
+ },
277
+ {
278
+ "epoch": 15.0,
279
+ "grad_norm": 1.6378480195999146,
280
+ "learning_rate": 1.25e-05,
281
+ "loss": 0.1109,
282
+ "step": 7920
283
+ },
284
+ {
285
+ "epoch": 15.0,
286
+ "eval_accuracy": 0.9578654476796185,
287
+ "eval_f1": 0.803963577932512,
288
+ "eval_loss": 0.1311807483434677,
289
+ "eval_precision": 0.7456532538499752,
290
+ "eval_recall": 0.8721673445671121,
291
+ "eval_runtime": 4.5245,
292
+ "eval_samples_per_second": 206.651,
293
+ "eval_steps_per_second": 3.315,
294
+ "step": 7920
295
+ },
296
+ {
297
+ "epoch": 16.0,
298
+ "grad_norm": 2.3020808696746826,
299
+ "learning_rate": 1e-05,
300
+ "loss": 0.1102,
301
+ "step": 8448
302
+ },
303
+ {
304
+ "epoch": 16.0,
305
+ "eval_accuracy": 0.9580641955679221,
306
+ "eval_f1": 0.8060735215769846,
307
+ "eval_loss": 0.13092459738254547,
308
+ "eval_precision": 0.7442203639940974,
309
+ "eval_recall": 0.8791400348634515,
310
+ "eval_runtime": 4.5457,
311
+ "eval_samples_per_second": 205.687,
312
+ "eval_steps_per_second": 3.3,
313
+ "step": 8448
314
+ },
315
+ {
316
+ "epoch": 17.0,
317
+ "grad_norm": 1.444940209388733,
318
+ "learning_rate": 7.5e-06,
319
+ "loss": 0.1095,
320
+ "step": 8976
321
+ },
322
+ {
323
+ "epoch": 17.0,
324
+ "eval_accuracy": 0.9586604392328332,
325
+ "eval_f1": 0.8073443320915381,
326
+ "eval_loss": 0.13140013813972473,
327
+ "eval_precision": 0.7447226313205695,
328
+ "eval_recall": 0.8814642649622313,
329
+ "eval_runtime": 4.5123,
330
+ "eval_samples_per_second": 207.212,
331
+ "eval_steps_per_second": 3.324,
332
+ "step": 8976
333
+ },
334
+ {
335
+ "epoch": 18.0,
336
+ "grad_norm": 1.5871490240097046,
337
+ "learning_rate": 5e-06,
338
+ "loss": 0.1073,
339
+ "step": 9504
340
+ },
341
+ {
342
+ "epoch": 18.0,
343
+ "eval_accuracy": 0.9576666997913147,
344
+ "eval_f1": 0.8018114011720832,
345
+ "eval_loss": 0.1323314905166626,
346
+ "eval_precision": 0.7402852926709297,
347
+ "eval_recall": 0.8744915746658919,
348
+ "eval_runtime": 4.4961,
349
+ "eval_samples_per_second": 207.957,
350
+ "eval_steps_per_second": 3.336,
351
+ "step": 9504
352
+ },
353
+ {
354
+ "epoch": 19.0,
355
+ "grad_norm": 0.673528254032135,
356
+ "learning_rate": 2.5e-06,
357
+ "loss": 0.107,
358
+ "step": 10032
359
+ },
360
+ {
361
+ "epoch": 19.0,
362
+ "eval_accuracy": 0.9580641955679221,
363
+ "eval_f1": 0.800106894708712,
364
+ "eval_loss": 0.1300082504749298,
365
+ "eval_precision": 0.7407224146462148,
366
+ "eval_recall": 0.8698431144683324,
367
+ "eval_runtime": 4.535,
368
+ "eval_samples_per_second": 206.173,
369
+ "eval_steps_per_second": 3.308,
370
+ "step": 10032
371
+ },
372
+ {
373
+ "epoch": 20.0,
374
+ "grad_norm": 2.0137035846710205,
375
+ "learning_rate": 0.0,
376
+ "loss": 0.1073,
377
+ "step": 10560
378
+ },
379
+ {
380
+ "epoch": 20.0,
381
+ "eval_accuracy": 0.9578654476796185,
382
+ "eval_f1": 0.800106894708712,
383
+ "eval_loss": 0.1304602026939392,
384
+ "eval_precision": 0.7407224146462148,
385
+ "eval_recall": 0.8698431144683324,
386
+ "eval_runtime": 4.5286,
387
+ "eval_samples_per_second": 206.468,
388
+ "eval_steps_per_second": 3.312,
389
+ "step": 10560
390
+ },
391
+ {
392
+ "epoch": 20.0,
393
+ "step": 10560,
394
+ "total_flos": 4545096690358590.0,
395
+ "train_loss": 0.17226147796168473,
396
+ "train_runtime": 1232.2015,
397
+ "train_samples_per_second": 136.942,
398
+ "train_steps_per_second": 8.57
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
+ }