Abathar commited on
Commit
6927a96
·
verified ·
1 Parent(s): 4825c50

Upload RuShuffleNonDeterministic/trainer_state.json with huggingface_hub

Browse files
RuShuffleNonDeterministic/trainer_state.json ADDED
@@ -0,0 +1,430 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 13.038,
5
+ "global_step": 3000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 2e-06,
13
+ "loss": 11.0014,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 9.999999999999999e-05,
19
+ "loss": 8.674,
20
+ "step": 50
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 0.00019999999999999998,
25
+ "loss": 6.649,
26
+ "step": 100
27
+ },
28
+ {
29
+ "epoch": 0.05,
30
+ "learning_rate": 0.0003,
31
+ "loss": 6.502,
32
+ "step": 150
33
+ },
34
+ {
35
+ "epoch": 0.07,
36
+ "learning_rate": 0.00039999999999999996,
37
+ "loss": 6.4531,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 1.01,
42
+ "learning_rate": 0.0005,
43
+ "loss": 6.409,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 1.03,
48
+ "learning_rate": 0.0006,
49
+ "loss": 6.2573,
50
+ "step": 300
51
+ },
52
+ {
53
+ "epoch": 1.04,
54
+ "learning_rate": 0.0005888888888888889,
55
+ "loss": 6.0832,
56
+ "step": 350
57
+ },
58
+ {
59
+ "epoch": 1.06,
60
+ "learning_rate": 0.0005777777777777776,
61
+ "loss": 5.9554,
62
+ "step": 400
63
+ },
64
+ {
65
+ "epoch": 2.0,
66
+ "learning_rate": 0.0005666666666666666,
67
+ "loss": 5.873,
68
+ "step": 450
69
+ },
70
+ {
71
+ "epoch": 2.02,
72
+ "learning_rate": 0.0005555555555555556,
73
+ "loss": 5.7997,
74
+ "step": 500
75
+ },
76
+ {
77
+ "epoch": 2.04,
78
+ "learning_rate": 0.0005444444444444444,
79
+ "loss": 5.7378,
80
+ "step": 550
81
+ },
82
+ {
83
+ "epoch": 2.05,
84
+ "learning_rate": 0.0005333333333333333,
85
+ "loss": 5.6778,
86
+ "step": 600
87
+ },
88
+ {
89
+ "epoch": 2.07,
90
+ "learning_rate": 0.0005222222222222222,
91
+ "loss": 5.6262,
92
+ "step": 650
93
+ },
94
+ {
95
+ "epoch": 3.01,
96
+ "learning_rate": 0.0005111111111111111,
97
+ "loss": 5.5936,
98
+ "step": 700
99
+ },
100
+ {
101
+ "epoch": 3.03,
102
+ "learning_rate": 0.0005,
103
+ "loss": 5.5612,
104
+ "step": 750
105
+ },
106
+ {
107
+ "epoch": 3.04,
108
+ "learning_rate": 0.0004888888888888889,
109
+ "loss": 5.5263,
110
+ "step": 800
111
+ },
112
+ {
113
+ "epoch": 3.06,
114
+ "learning_rate": 0.0004777777777777777,
115
+ "loss": 5.5003,
116
+ "step": 850
117
+ },
118
+ {
119
+ "epoch": 4.0,
120
+ "learning_rate": 0.0004666666666666666,
121
+ "loss": 5.4876,
122
+ "step": 900
123
+ },
124
+ {
125
+ "epoch": 4.02,
126
+ "learning_rate": 0.00045555555555555556,
127
+ "loss": 5.4625,
128
+ "step": 950
129
+ },
130
+ {
131
+ "epoch": 4.04,
132
+ "learning_rate": 0.00044444444444444436,
133
+ "loss": 5.4424,
134
+ "step": 1000
135
+ },
136
+ {
137
+ "epoch": 4.04,
138
+ "eval_loss": 5.8761162757873535,
139
+ "eval_runtime": 97.1968,
140
+ "eval_samples_per_second": 128.749,
141
+ "eval_steps_per_second": 8.056,
142
+ "step": 1000
143
+ },
144
+ {
145
+ "epoch": 4.04,
146
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 5.8761162757873535,
147
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 356.4223042778609,
148
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 97.1968,
149
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 128.749,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 4.05,
154
+ "learning_rate": 0.0004333333333333333,
155
+ "loss": 5.4265,
156
+ "step": 1050
157
+ },
158
+ {
159
+ "epoch": 4.07,
160
+ "learning_rate": 0.0004222222222222222,
161
+ "loss": 5.4122,
162
+ "step": 1100
163
+ },
164
+ {
165
+ "epoch": 5.01,
166
+ "learning_rate": 0.0004111111111111111,
167
+ "loss": 5.403,
168
+ "step": 1150
169
+ },
170
+ {
171
+ "epoch": 5.03,
172
+ "learning_rate": 0.00039999999999999996,
173
+ "loss": 5.3859,
174
+ "step": 1200
175
+ },
176
+ {
177
+ "epoch": 5.05,
178
+ "learning_rate": 0.00038888888888888887,
179
+ "loss": 5.3684,
180
+ "step": 1250
181
+ },
182
+ {
183
+ "epoch": 5.06,
184
+ "learning_rate": 0.00037777777777777777,
185
+ "loss": 5.3584,
186
+ "step": 1300
187
+ },
188
+ {
189
+ "epoch": 6.01,
190
+ "learning_rate": 0.00036666666666666667,
191
+ "loss": 5.3554,
192
+ "step": 1350
193
+ },
194
+ {
195
+ "epoch": 6.02,
196
+ "learning_rate": 0.0003555555555555555,
197
+ "loss": 5.341,
198
+ "step": 1400
199
+ },
200
+ {
201
+ "epoch": 6.04,
202
+ "learning_rate": 0.0003444444444444444,
203
+ "loss": 5.329,
204
+ "step": 1450
205
+ },
206
+ {
207
+ "epoch": 6.06,
208
+ "learning_rate": 0.0003333333333333333,
209
+ "loss": 5.32,
210
+ "step": 1500
211
+ },
212
+ {
213
+ "epoch": 6.07,
214
+ "learning_rate": 0.0003222222222222222,
215
+ "loss": 5.3148,
216
+ "step": 1550
217
+ },
218
+ {
219
+ "epoch": 7.02,
220
+ "learning_rate": 0.00031111111111111107,
221
+ "loss": 5.3103,
222
+ "step": 1600
223
+ },
224
+ {
225
+ "epoch": 7.03,
226
+ "learning_rate": 0.0003,
227
+ "loss": 5.3004,
228
+ "step": 1650
229
+ },
230
+ {
231
+ "epoch": 7.05,
232
+ "learning_rate": 0.0002888888888888888,
233
+ "loss": 5.2899,
234
+ "step": 1700
235
+ },
236
+ {
237
+ "epoch": 7.07,
238
+ "learning_rate": 0.0002777777777777778,
239
+ "loss": 5.2867,
240
+ "step": 1750
241
+ },
242
+ {
243
+ "epoch": 8.01,
244
+ "learning_rate": 0.0002666666666666666,
245
+ "loss": 5.285,
246
+ "step": 1800
247
+ },
248
+ {
249
+ "epoch": 8.02,
250
+ "learning_rate": 0.00025555555555555553,
251
+ "loss": 5.2756,
252
+ "step": 1850
253
+ },
254
+ {
255
+ "epoch": 8.04,
256
+ "learning_rate": 0.00024444444444444443,
257
+ "loss": 5.2669,
258
+ "step": 1900
259
+ },
260
+ {
261
+ "epoch": 8.06,
262
+ "learning_rate": 0.0002333333333333333,
263
+ "loss": 5.2612,
264
+ "step": 1950
265
+ },
266
+ {
267
+ "epoch": 9.0,
268
+ "learning_rate": 0.00022222222222222218,
269
+ "loss": 5.2646,
270
+ "step": 2000
271
+ },
272
+ {
273
+ "epoch": 9.0,
274
+ "eval_loss": 5.767062187194824,
275
+ "eval_runtime": 97.7525,
276
+ "eval_samples_per_second": 128.017,
277
+ "eval_steps_per_second": 8.01,
278
+ "step": 2000
279
+ },
280
+ {
281
+ "epoch": 9.0,
282
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 5.767062187194824,
283
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 319.59743467783994,
284
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 97.7525,
285
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 128.017,
286
+ "step": 2000
287
+ },
288
+ {
289
+ "epoch": 9.02,
290
+ "learning_rate": 0.0002111111111111111,
291
+ "loss": 5.2533,
292
+ "step": 2050
293
+ },
294
+ {
295
+ "epoch": 9.03,
296
+ "learning_rate": 0.00019999999999999998,
297
+ "loss": 5.2486,
298
+ "step": 2100
299
+ },
300
+ {
301
+ "epoch": 9.05,
302
+ "learning_rate": 0.00018888888888888888,
303
+ "loss": 5.2425,
304
+ "step": 2150
305
+ },
306
+ {
307
+ "epoch": 9.07,
308
+ "learning_rate": 0.00017777777777777776,
309
+ "loss": 5.2411,
310
+ "step": 2200
311
+ },
312
+ {
313
+ "epoch": 10.01,
314
+ "learning_rate": 0.00016666666666666666,
315
+ "loss": 5.2402,
316
+ "step": 2250
317
+ },
318
+ {
319
+ "epoch": 10.03,
320
+ "learning_rate": 0.00015555555555555554,
321
+ "loss": 5.2329,
322
+ "step": 2300
323
+ },
324
+ {
325
+ "epoch": 10.04,
326
+ "learning_rate": 0.0001444444444444444,
327
+ "loss": 5.2263,
328
+ "step": 2350
329
+ },
330
+ {
331
+ "epoch": 10.06,
332
+ "learning_rate": 0.0001333333333333333,
333
+ "loss": 5.2225,
334
+ "step": 2400
335
+ },
336
+ {
337
+ "epoch": 11.0,
338
+ "learning_rate": 0.00012222222222222221,
339
+ "loss": 5.2282,
340
+ "step": 2450
341
+ },
342
+ {
343
+ "epoch": 11.02,
344
+ "learning_rate": 0.00011111111111111109,
345
+ "loss": 5.2181,
346
+ "step": 2500
347
+ },
348
+ {
349
+ "epoch": 11.04,
350
+ "learning_rate": 9.999999999999999e-05,
351
+ "loss": 5.2136,
352
+ "step": 2550
353
+ },
354
+ {
355
+ "epoch": 11.05,
356
+ "learning_rate": 8.888888888888888e-05,
357
+ "loss": 5.2107,
358
+ "step": 2600
359
+ },
360
+ {
361
+ "epoch": 11.07,
362
+ "learning_rate": 7.777777777777777e-05,
363
+ "loss": 5.2093,
364
+ "step": 2650
365
+ },
366
+ {
367
+ "epoch": 12.01,
368
+ "learning_rate": 6.666666666666666e-05,
369
+ "loss": 5.2107,
370
+ "step": 2700
371
+ },
372
+ {
373
+ "epoch": 12.03,
374
+ "learning_rate": 5.5555555555555545e-05,
375
+ "loss": 5.2057,
376
+ "step": 2750
377
+ },
378
+ {
379
+ "epoch": 12.05,
380
+ "learning_rate": 4.444444444444444e-05,
381
+ "loss": 5.1986,
382
+ "step": 2800
383
+ },
384
+ {
385
+ "epoch": 12.06,
386
+ "learning_rate": 3.333333333333333e-05,
387
+ "loss": 5.1976,
388
+ "step": 2850
389
+ },
390
+ {
391
+ "epoch": 13.0,
392
+ "learning_rate": 2.222222222222222e-05,
393
+ "loss": 5.2036,
394
+ "step": 2900
395
+ },
396
+ {
397
+ "epoch": 13.02,
398
+ "learning_rate": 1.111111111111111e-05,
399
+ "loss": 5.1963,
400
+ "step": 2950
401
+ },
402
+ {
403
+ "epoch": 13.04,
404
+ "learning_rate": 0.0,
405
+ "loss": 5.1919,
406
+ "step": 3000
407
+ },
408
+ {
409
+ "epoch": 13.04,
410
+ "eval_loss": 5.735489845275879,
411
+ "eval_runtime": 96.9335,
412
+ "eval_samples_per_second": 129.099,
413
+ "eval_steps_per_second": 8.078,
414
+ "step": 3000
415
+ },
416
+ {
417
+ "epoch": 13.04,
418
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_loss": 5.735489845275879,
419
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_ppl": 309.66462136539093,
420
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_runtime": 96.9335,
421
+ "eval_/home/s2678328/mission-impossible-language-models/training/babylm_dataset.py_samples_per_second": 129.099,
422
+ "step": 3000
423
+ }
424
+ ],
425
+ "max_steps": 3000,
426
+ "num_train_epochs": 9223372036854775807,
427
+ "total_flos": 1.3382077680451584e+17,
428
+ "trial_name": null,
429
+ "trial_params": null
430
+ }