kanishka commited on
Commit
d708268
·
verified ·
1 Parent(s): c583f7c

End of training

Browse files
Files changed (5) hide show
  1. README.md +14 -2
  2. all_results.json +16 -0
  3. eval_results.json +10 -0
  4. train_results.json +9 -0
  5. trainer_state.json +497 -0
README.md CHANGED
@@ -2,11 +2,23 @@
2
  library_name: transformers
3
  tags:
4
  - generated_from_trainer
 
 
5
  metrics:
6
  - accuracy
7
  model-index:
8
  - name: opt-babylm2-rewritten-clean-spacy-32k-earlystop_seed-42_3e-4
9
- results: []
 
 
 
 
 
 
 
 
 
 
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # opt-babylm2-rewritten-clean-spacy-32k-earlystop_seed-42_3e-4
16
 
17
- This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
  - Loss: 2.9642
20
  - Accuracy: 0.4243
 
2
  library_name: transformers
3
  tags:
4
  - generated_from_trainer
5
+ datasets:
6
+ - kanishka/babylm2-rewritten-clean-spacy
7
  metrics:
8
  - accuracy
9
  model-index:
10
  - name: opt-babylm2-rewritten-clean-spacy-32k-earlystop_seed-42_3e-4
11
+ results:
12
+ - task:
13
+ name: Causal Language Modeling
14
+ type: text-generation
15
+ dataset:
16
+ name: kanishka/babylm2-rewritten-clean-spacy
17
+ type: kanishka/babylm2-rewritten-clean-spacy
18
+ metrics:
19
+ - name: Accuracy
20
+ type: accuracy
21
+ value: 0.4242773576186558
22
  ---
23
 
24
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
26
 
27
  # opt-babylm2-rewritten-clean-spacy-32k-earlystop_seed-42_3e-4
28
 
29
+ This model was trained from scratch on the kanishka/babylm2-rewritten-clean-spacy dataset.
30
  It achieves the following results on the evaluation set:
31
  - Loss: 2.9642
32
  - Accuracy: 0.4243
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.992235020059532,
3
+ "eval_accuracy": 0.4242773576186558,
4
+ "eval_loss": 2.9642465114593506,
5
+ "eval_runtime": 113.9001,
6
+ "eval_samples": 52190,
7
+ "eval_samples_per_second": 458.209,
8
+ "eval_steps_per_second": 7.164,
9
+ "perplexity": 19.380095059069767,
10
+ "total_flos": 1.291633274290176e+18,
11
+ "train_loss": 3.167741677725272,
12
+ "train_runtime": 41034.7396,
13
+ "train_samples": 494517,
14
+ "train_samples_per_second": 241.024,
15
+ "train_steps_per_second": 0.941
16
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.992235020059532,
3
+ "eval_accuracy": 0.4242773576186558,
4
+ "eval_loss": 2.9642465114593506,
5
+ "eval_runtime": 113.9001,
6
+ "eval_samples": 52190,
7
+ "eval_samples_per_second": 458.209,
8
+ "eval_steps_per_second": 7.164,
9
+ "perplexity": 19.380095059069767
10
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.992235020059532,
3
+ "total_flos": 1.291633274290176e+18,
4
+ "train_loss": 3.167741677725272,
5
+ "train_runtime": 41034.7396,
6
+ "train_samples": 494517,
7
+ "train_samples_per_second": 241.024,
8
+ "train_steps_per_second": 0.941
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,497 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.9642465114593506,
3
+ "best_model_checkpoint": "models/opt-babylm2-rewritten-clean-spacy-32k-earlystop_seed-42_3e-4/checkpoint-38620",
4
+ "epoch": 19.992235020059532,
5
+ "eval_steps": 500,
6
+ "global_step": 38620,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5176653293645658,
13
+ "grad_norm": 0.485008180141449,
14
+ "learning_rate": 9.375e-06,
15
+ "loss": 6.8783,
16
+ "step": 1000
17
+ },
18
+ {
19
+ "epoch": 0.9996117510029766,
20
+ "eval_accuracy": 0.289060183567583,
21
+ "eval_loss": 4.46536922454834,
22
+ "eval_runtime": 113.2643,
23
+ "eval_samples_per_second": 460.781,
24
+ "eval_steps_per_second": 7.204,
25
+ "step": 1931
26
+ },
27
+ {
28
+ "epoch": 1.0353306587291315,
29
+ "grad_norm": 0.6161150932312012,
30
+ "learning_rate": 1.875e-05,
31
+ "loss": 4.6542,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 1.5529959880936974,
36
+ "grad_norm": 0.6660575270652771,
37
+ "learning_rate": 2.8125e-05,
38
+ "loss": 4.2263,
39
+ "step": 3000
40
+ },
41
+ {
42
+ "epoch": 1.9997411673353178,
43
+ "eval_accuracy": 0.3337067802786951,
44
+ "eval_loss": 3.917879343032837,
45
+ "eval_runtime": 113.7402,
46
+ "eval_samples_per_second": 458.853,
47
+ "eval_steps_per_second": 7.174,
48
+ "step": 3863
49
+ },
50
+ {
51
+ "epoch": 2.070661317458263,
52
+ "grad_norm": 0.6615888476371765,
53
+ "learning_rate": 3.75e-05,
54
+ "loss": 3.9582,
55
+ "step": 4000
56
+ },
57
+ {
58
+ "epoch": 2.588326646822829,
59
+ "grad_norm": 0.7149969339370728,
60
+ "learning_rate": 4.6874999999999994e-05,
61
+ "loss": 3.7724,
62
+ "step": 5000
63
+ },
64
+ {
65
+ "epoch": 2.9998705836676587,
66
+ "eval_accuracy": 0.3562454681048507,
67
+ "eval_loss": 3.6396915912628174,
68
+ "eval_runtime": 113.9103,
69
+ "eval_samples_per_second": 458.168,
70
+ "eval_steps_per_second": 7.164,
71
+ "step": 5795
72
+ },
73
+ {
74
+ "epoch": 3.105991976187395,
75
+ "grad_norm": 0.6370624899864197,
76
+ "learning_rate": 5.625e-05,
77
+ "loss": 3.6294,
78
+ "step": 6000
79
+ },
80
+ {
81
+ "epoch": 3.6236573055519608,
82
+ "grad_norm": 0.6175299286842346,
83
+ "learning_rate": 6.5625e-05,
84
+ "loss": 3.5091,
85
+ "step": 7000
86
+ },
87
+ {
88
+ "epoch": 4.0,
89
+ "eval_accuracy": 0.3723592153857136,
90
+ "eval_loss": 3.456868886947632,
91
+ "eval_runtime": 113.9063,
92
+ "eval_samples_per_second": 458.184,
93
+ "eval_steps_per_second": 7.164,
94
+ "step": 7727
95
+ },
96
+ {
97
+ "epoch": 4.141322634916526,
98
+ "grad_norm": 0.5864672064781189,
99
+ "learning_rate": 7.5e-05,
100
+ "loss": 3.4133,
101
+ "step": 8000
102
+ },
103
+ {
104
+ "epoch": 4.658987964281092,
105
+ "grad_norm": 0.5497373342514038,
106
+ "learning_rate": 8.437499999999999e-05,
107
+ "loss": 3.3306,
108
+ "step": 9000
109
+ },
110
+ {
111
+ "epoch": 4.999611751002977,
112
+ "eval_accuracy": 0.3838290710037608,
113
+ "eval_loss": 3.3310000896453857,
114
+ "eval_runtime": 113.7441,
115
+ "eval_samples_per_second": 458.837,
116
+ "eval_steps_per_second": 7.174,
117
+ "step": 9658
118
+ },
119
+ {
120
+ "epoch": 5.176653293645658,
121
+ "grad_norm": 0.5599066019058228,
122
+ "learning_rate": 9.374999999999999e-05,
123
+ "loss": 3.2608,
124
+ "step": 10000
125
+ },
126
+ {
127
+ "epoch": 5.694318623010224,
128
+ "grad_norm": 0.5453025698661804,
129
+ "learning_rate": 0.00010312499999999999,
130
+ "loss": 3.2012,
131
+ "step": 11000
132
+ },
133
+ {
134
+ "epoch": 5.999741167335317,
135
+ "eval_accuracy": 0.3918066341309469,
136
+ "eval_loss": 3.2469069957733154,
137
+ "eval_runtime": 113.6865,
138
+ "eval_samples_per_second": 459.07,
139
+ "eval_steps_per_second": 7.178,
140
+ "step": 11590
141
+ },
142
+ {
143
+ "epoch": 6.21198395237479,
144
+ "grad_norm": 0.5039867162704468,
145
+ "learning_rate": 0.0001125,
146
+ "loss": 3.152,
147
+ "step": 12000
148
+ },
149
+ {
150
+ "epoch": 6.729649281739356,
151
+ "grad_norm": 0.4990510642528534,
152
+ "learning_rate": 0.000121875,
153
+ "loss": 3.1088,
154
+ "step": 13000
155
+ },
156
+ {
157
+ "epoch": 6.999870583667659,
158
+ "eval_accuracy": 0.39817732342985096,
159
+ "eval_loss": 3.1827573776245117,
160
+ "eval_runtime": 114.0161,
161
+ "eval_samples_per_second": 457.742,
162
+ "eval_steps_per_second": 7.157,
163
+ "step": 13522
164
+ },
165
+ {
166
+ "epoch": 7.2473146111039215,
167
+ "grad_norm": 0.46827396750450134,
168
+ "learning_rate": 0.00013125,
169
+ "loss": 3.0691,
170
+ "step": 14000
171
+ },
172
+ {
173
+ "epoch": 7.764979940468487,
174
+ "grad_norm": 0.4815771281719208,
175
+ "learning_rate": 0.000140625,
176
+ "loss": 3.0364,
177
+ "step": 15000
178
+ },
179
+ {
180
+ "epoch": 8.0,
181
+ "eval_accuracy": 0.40226096953439355,
182
+ "eval_loss": 3.1404154300689697,
183
+ "eval_runtime": 113.6142,
184
+ "eval_samples_per_second": 459.361,
185
+ "eval_steps_per_second": 7.182,
186
+ "step": 15454
187
+ },
188
+ {
189
+ "epoch": 8.282645269833052,
190
+ "grad_norm": 0.4806288778781891,
191
+ "learning_rate": 0.000149990625,
192
+ "loss": 3.0022,
193
+ "step": 16000
194
+ },
195
+ {
196
+ "epoch": 8.80031059919762,
197
+ "grad_norm": 0.4368716776371002,
198
+ "learning_rate": 0.00015936562499999999,
199
+ "loss": 2.9837,
200
+ "step": 17000
201
+ },
202
+ {
203
+ "epoch": 8.999611751002977,
204
+ "eval_accuracy": 0.4056956294684956,
205
+ "eval_loss": 3.1080353260040283,
206
+ "eval_runtime": 113.6637,
207
+ "eval_samples_per_second": 459.162,
208
+ "eval_steps_per_second": 7.179,
209
+ "step": 17385
210
+ },
211
+ {
212
+ "epoch": 9.317975928562184,
213
+ "grad_norm": 0.44254282116889954,
214
+ "learning_rate": 0.00016873124999999998,
215
+ "loss": 2.9495,
216
+ "step": 18000
217
+ },
218
+ {
219
+ "epoch": 9.835641257926751,
220
+ "grad_norm": 0.4331772029399872,
221
+ "learning_rate": 0.00017809687499999998,
222
+ "loss": 2.9377,
223
+ "step": 19000
224
+ },
225
+ {
226
+ "epoch": 9.999741167335317,
227
+ "eval_accuracy": 0.40769541156182726,
228
+ "eval_loss": 3.083951711654663,
229
+ "eval_runtime": 113.9484,
230
+ "eval_samples_per_second": 458.015,
231
+ "eval_steps_per_second": 7.161,
232
+ "step": 19317
233
+ },
234
+ {
235
+ "epoch": 10.353306587291316,
236
+ "grad_norm": 0.425889790058136,
237
+ "learning_rate": 0.00018747187499999998,
238
+ "loss": 2.9051,
239
+ "step": 20000
240
+ },
241
+ {
242
+ "epoch": 10.870971916655883,
243
+ "grad_norm": 0.40670710802078247,
244
+ "learning_rate": 0.00019684687499999998,
245
+ "loss": 2.9019,
246
+ "step": 21000
247
+ },
248
+ {
249
+ "epoch": 10.99987058366766,
250
+ "eval_accuracy": 0.41011139539164965,
251
+ "eval_loss": 3.063291311264038,
252
+ "eval_runtime": 113.7948,
253
+ "eval_samples_per_second": 458.633,
254
+ "eval_steps_per_second": 7.171,
255
+ "step": 21249
256
+ },
257
+ {
258
+ "epoch": 11.388637246020448,
259
+ "grad_norm": 0.4176114499568939,
260
+ "learning_rate": 0.00020622187499999998,
261
+ "loss": 2.8676,
262
+ "step": 22000
263
+ },
264
+ {
265
+ "epoch": 11.906302575385013,
266
+ "grad_norm": 0.400343120098114,
267
+ "learning_rate": 0.00021559687499999997,
268
+ "loss": 2.8713,
269
+ "step": 23000
270
+ },
271
+ {
272
+ "epoch": 12.0,
273
+ "eval_accuracy": 0.4117278120291995,
274
+ "eval_loss": 3.0504517555236816,
275
+ "eval_runtime": 113.5309,
276
+ "eval_samples_per_second": 459.699,
277
+ "eval_steps_per_second": 7.187,
278
+ "step": 23181
279
+ },
280
+ {
281
+ "epoch": 12.42396790474958,
282
+ "grad_norm": 0.3873593509197235,
283
+ "learning_rate": 0.00022496249999999997,
284
+ "loss": 2.8353,
285
+ "step": 24000
286
+ },
287
+ {
288
+ "epoch": 12.941633234114144,
289
+ "grad_norm": 0.3830123543739319,
290
+ "learning_rate": 0.00023433749999999997,
291
+ "loss": 2.8449,
292
+ "step": 25000
293
+ },
294
+ {
295
+ "epoch": 12.999611751002977,
296
+ "eval_accuracy": 0.41297589125705847,
297
+ "eval_loss": 3.037565231323242,
298
+ "eval_runtime": 113.7043,
299
+ "eval_samples_per_second": 458.998,
300
+ "eval_steps_per_second": 7.177,
301
+ "step": 25112
302
+ },
303
+ {
304
+ "epoch": 13.459298563478711,
305
+ "grad_norm": 0.390222430229187,
306
+ "learning_rate": 0.00024369374999999997,
307
+ "loss": 2.8068,
308
+ "step": 26000
309
+ },
310
+ {
311
+ "epoch": 13.976963892843276,
312
+ "grad_norm": 0.3650892376899719,
313
+ "learning_rate": 0.00025306875,
314
+ "loss": 2.8231,
315
+ "step": 27000
316
+ },
317
+ {
318
+ "epoch": 13.999741167335317,
319
+ "eval_accuracy": 0.41429497800269754,
320
+ "eval_loss": 3.026965856552124,
321
+ "eval_runtime": 113.7894,
322
+ "eval_samples_per_second": 458.654,
323
+ "eval_steps_per_second": 7.171,
324
+ "step": 27044
325
+ },
326
+ {
327
+ "epoch": 14.494629222207843,
328
+ "grad_norm": 0.3750116527080536,
329
+ "learning_rate": 0.00026244375,
330
+ "loss": 2.7828,
331
+ "step": 28000
332
+ },
333
+ {
334
+ "epoch": 14.99987058366766,
335
+ "eval_accuracy": 0.4150191044035932,
336
+ "eval_loss": 3.0222034454345703,
337
+ "eval_runtime": 113.786,
338
+ "eval_samples_per_second": 458.668,
339
+ "eval_steps_per_second": 7.171,
340
+ "step": 28976
341
+ },
342
+ {
343
+ "epoch": 15.012294551572408,
344
+ "grad_norm": 0.39160436391830444,
345
+ "learning_rate": 0.00027181875,
346
+ "loss": 2.804,
347
+ "step": 29000
348
+ },
349
+ {
350
+ "epoch": 15.529959880936975,
351
+ "grad_norm": 0.36566755175590515,
352
+ "learning_rate": 0.00028118437499999993,
353
+ "loss": 2.7644,
354
+ "step": 30000
355
+ },
356
+ {
357
+ "epoch": 16.0,
358
+ "eval_accuracy": 0.4156012157689288,
359
+ "eval_loss": 3.0159823894500732,
360
+ "eval_runtime": 113.6022,
361
+ "eval_samples_per_second": 459.41,
362
+ "eval_steps_per_second": 7.183,
363
+ "step": 30908
364
+ },
365
+ {
366
+ "epoch": 16.04762521030154,
367
+ "grad_norm": 0.37446266412734985,
368
+ "learning_rate": 0.000290559375,
369
+ "loss": 2.7817,
370
+ "step": 31000
371
+ },
372
+ {
373
+ "epoch": 16.565290539666105,
374
+ "grad_norm": 0.3600151836872101,
375
+ "learning_rate": 0.000299925,
376
+ "loss": 2.7508,
377
+ "step": 32000
378
+ },
379
+ {
380
+ "epoch": 16.999611751002977,
381
+ "eval_accuracy": 0.4174987320086111,
382
+ "eval_loss": 3.003650188446045,
383
+ "eval_runtime": 113.5557,
384
+ "eval_samples_per_second": 459.598,
385
+ "eval_steps_per_second": 7.186,
386
+ "step": 32839
387
+ },
388
+ {
389
+ "epoch": 17.082955869030673,
390
+ "grad_norm": 0.3546937108039856,
391
+ "learning_rate": 0.0002550453172205438,
392
+ "loss": 2.7556,
393
+ "step": 33000
394
+ },
395
+ {
396
+ "epoch": 17.60062119839524,
397
+ "grad_norm": 0.3554268777370453,
398
+ "learning_rate": 0.00020977341389728096,
399
+ "loss": 2.7036,
400
+ "step": 34000
401
+ },
402
+ {
403
+ "epoch": 17.99974116733532,
404
+ "eval_accuracy": 0.4205405588178939,
405
+ "eval_loss": 2.9801993370056152,
406
+ "eval_runtime": 113.7922,
407
+ "eval_samples_per_second": 458.643,
408
+ "eval_steps_per_second": 7.171,
409
+ "step": 34771
410
+ },
411
+ {
412
+ "epoch": 18.118286527759803,
413
+ "grad_norm": 0.36419546604156494,
414
+ "learning_rate": 0.00016450151057401813,
415
+ "loss": 2.6855,
416
+ "step": 35000
417
+ },
418
+ {
419
+ "epoch": 18.63595185712437,
420
+ "grad_norm": 0.3601652979850769,
421
+ "learning_rate": 0.00011918429003021148,
422
+ "loss": 2.6333,
423
+ "step": 36000
424
+ },
425
+ {
426
+ "epoch": 18.999870583667658,
427
+ "eval_accuracy": 0.42307188290146486,
428
+ "eval_loss": 2.9676599502563477,
429
+ "eval_runtime": 114.5137,
430
+ "eval_samples_per_second": 455.753,
431
+ "eval_steps_per_second": 7.126,
432
+ "step": 36703
433
+ },
434
+ {
435
+ "epoch": 19.153617186488933,
436
+ "grad_norm": 0.3770598769187927,
437
+ "learning_rate": 7.386706948640483e-05,
438
+ "loss": 2.608,
439
+ "step": 37000
440
+ },
441
+ {
442
+ "epoch": 19.671282515853502,
443
+ "grad_norm": 0.37394067645072937,
444
+ "learning_rate": 2.8595166163141992e-05,
445
+ "loss": 2.557,
446
+ "step": 38000
447
+ },
448
+ {
449
+ "epoch": 19.992235020059532,
450
+ "eval_accuracy": 0.4242773576186558,
451
+ "eval_loss": 2.9642465114593506,
452
+ "eval_runtime": 114.3789,
453
+ "eval_samples_per_second": 456.291,
454
+ "eval_steps_per_second": 7.134,
455
+ "step": 38620
456
+ },
457
+ {
458
+ "epoch": 19.992235020059532,
459
+ "step": 38620,
460
+ "total_flos": 1.291633274290176e+18,
461
+ "train_loss": 3.167741677725272,
462
+ "train_runtime": 41034.7396,
463
+ "train_samples_per_second": 241.024,
464
+ "train_steps_per_second": 0.941
465
+ }
466
+ ],
467
+ "logging_steps": 1000,
468
+ "max_steps": 38620,
469
+ "num_input_tokens_seen": 0,
470
+ "num_train_epochs": 20,
471
+ "save_steps": 500,
472
+ "stateful_callbacks": {
473
+ "EarlyStoppingCallback": {
474
+ "args": {
475
+ "early_stopping_patience": 3,
476
+ "early_stopping_threshold": 0.0
477
+ },
478
+ "attributes": {
479
+ "early_stopping_patience_counter": 0
480
+ }
481
+ },
482
+ "TrainerControl": {
483
+ "args": {
484
+ "should_epoch_stop": false,
485
+ "should_evaluate": false,
486
+ "should_log": false,
487
+ "should_save": true,
488
+ "should_training_stop": true
489
+ },
490
+ "attributes": {}
491
+ }
492
+ },
493
+ "total_flos": 1.291633274290176e+18,
494
+ "train_batch_size": 32,
495
+ "trial_name": null,
496
+ "trial_params": null
497
+ }