Plasmoxy commited on
Commit
62291cc
·
verified ·
1 Parent(s): eca4371

End of training

Browse files
coreconfig.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "out_name": "mt5-small-gigatrue",
3
+ "remove_layers": false,
4
+ "model_archetype": "mt5",
5
+ "model_name": "google/mt5-small",
6
+ "tokenizer_name": "google/mt5-small",
7
+ "model_torch_dtype": "bfloat16",
8
+ "dataset_lang": "en",
9
+ "dataset_name": "Plasmoxy/gigatrue",
10
+ "dataset_tokenized_cache_name": "gigatrue_tokenized_mt5_110-35",
11
+ "use_half_val_dataset": true,
12
+ "max_input_length": 110,
13
+ "max_target_length": 35,
14
+ "batch_size": 128,
15
+ "learning_rate": 0.0003,
16
+ "num_train_epochs": 3,
17
+ "pkg_versions": {
18
+ "optimum": "1.23.3",
19
+ "transformers": "4.45.2",
20
+ "openvino": "2024.6.0",
21
+ "nncf": "2.14.1",
22
+ "torch": "2.5.1",
23
+ "datasets": "3.2.0",
24
+ "peft": "0.13.3.dev0"
25
+ }
26
+ }
logs/events.out.tfevents.1735394245.gna4000.586124.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ec8f5efb110c259a3cc7320f7312621a9115f0bff389f9ddb85c817d15085e9
3
+ size 20022
nvidia_smi_early.log ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Sat Dec 28 14:57:55 2024
2
+ +-----------------------------------------------------------------------------------------+
3
+ | NVIDIA-SMI 550.127.08 Driver Version: 550.127.08 CUDA Version: 12.4 |
4
+ |-----------------------------------------+------------------------+----------------------+
5
+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
6
+ | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
7
+ | | | MIG M. |
8
+ |=========================================+========================+======================|
9
+ | 0 NVIDIA RTX A4000 Off | 00000000:01:00.0 Off | Off |
10
+ | 54% 76C P2 135W / 140W | 15525MiB / 16376MiB | 99% Default |
11
+ | | | N/A |
12
+ +-----------------------------------------+------------------------+----------------------+
13
+
14
+ +-----------------------------------------------------------------------------------------+
15
+ | Processes: |
16
+ | GPU GI CI PID Type Process name GPU Memory |
17
+ | ID ID Usage |
18
+ |=========================================================================================|
19
+ | 0 N/A N/A 76833 G /usr/lib/xorg/Xorg 4MiB |
20
+ | 0 N/A N/A 586124 C ...ik/miniforge3/envs/alpha/bin/python 15510MiB |
21
+ +-----------------------------------------------------------------------------------------+
trainer_state.json ADDED
@@ -0,0 +1,484 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 3000,
6
+ "global_step": 88686,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 3.382721060821325e-05,
13
+ "grad_norm": 1352.0,
14
+ "learning_rate": 0.00029999661727893914,
15
+ "loss": 22.625,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.10148163182463973,
20
+ "grad_norm": 1.4296875,
21
+ "learning_rate": 0.000289851836817536,
22
+ "loss": 3.5832,
23
+ "step": 3000
24
+ },
25
+ {
26
+ "epoch": 0.10148163182463973,
27
+ "eval_loss": 2.45703125,
28
+ "eval_runtime": 96.0596,
29
+ "eval_samples_per_second": 982.775,
30
+ "eval_steps_per_second": 7.683,
31
+ "step": 3000
32
+ },
33
+ {
34
+ "epoch": 0.20296326364927947,
35
+ "grad_norm": 1.375,
36
+ "learning_rate": 0.000279703673635072,
37
+ "loss": 2.9906,
38
+ "step": 6000
39
+ },
40
+ {
41
+ "epoch": 0.20296326364927947,
42
+ "eval_loss": 2.388899564743042,
43
+ "eval_runtime": 95.3468,
44
+ "eval_samples_per_second": 990.122,
45
+ "eval_steps_per_second": 7.74,
46
+ "step": 6000
47
+ },
48
+ {
49
+ "epoch": 0.30444489547391923,
50
+ "grad_norm": 1.3125,
51
+ "learning_rate": 0.00026955551045260807,
52
+ "loss": 2.9367,
53
+ "step": 9000
54
+ },
55
+ {
56
+ "epoch": 0.30444489547391923,
57
+ "eval_loss": 2.3747141361236572,
58
+ "eval_runtime": 95.1929,
59
+ "eval_samples_per_second": 991.723,
60
+ "eval_steps_per_second": 7.753,
61
+ "step": 9000
62
+ },
63
+ {
64
+ "epoch": 0.40592652729855894,
65
+ "grad_norm": 1.421875,
66
+ "learning_rate": 0.0002594073472701441,
67
+ "loss": 2.9115,
68
+ "step": 12000
69
+ },
70
+ {
71
+ "epoch": 0.40592652729855894,
72
+ "eval_loss": 2.3593432903289795,
73
+ "eval_runtime": 95.2533,
74
+ "eval_samples_per_second": 991.095,
75
+ "eval_steps_per_second": 7.748,
76
+ "step": 12000
77
+ },
78
+ {
79
+ "epoch": 0.5074081591231987,
80
+ "grad_norm": 1.3828125,
81
+ "learning_rate": 0.0002492591840876801,
82
+ "loss": 2.891,
83
+ "step": 15000
84
+ },
85
+ {
86
+ "epoch": 0.5074081591231987,
87
+ "eval_loss": 2.3490748405456543,
88
+ "eval_runtime": 95.1766,
89
+ "eval_samples_per_second": 991.893,
90
+ "eval_steps_per_second": 7.754,
91
+ "step": 15000
92
+ },
93
+ {
94
+ "epoch": 0.6088897909478385,
95
+ "grad_norm": 1.3671875,
96
+ "learning_rate": 0.0002391110209052161,
97
+ "loss": 2.8835,
98
+ "step": 18000
99
+ },
100
+ {
101
+ "epoch": 0.6088897909478385,
102
+ "eval_loss": 2.3357362747192383,
103
+ "eval_runtime": 95.2104,
104
+ "eval_samples_per_second": 991.541,
105
+ "eval_steps_per_second": 7.751,
106
+ "step": 18000
107
+ },
108
+ {
109
+ "epoch": 0.7103714227724782,
110
+ "grad_norm": 1.40625,
111
+ "learning_rate": 0.00022896285772275215,
112
+ "loss": 2.8777,
113
+ "step": 21000
114
+ },
115
+ {
116
+ "epoch": 0.7103714227724782,
117
+ "eval_loss": 2.33984375,
118
+ "eval_runtime": 95.1033,
119
+ "eval_samples_per_second": 992.658,
120
+ "eval_steps_per_second": 7.76,
121
+ "step": 21000
122
+ },
123
+ {
124
+ "epoch": 0.8118530545971179,
125
+ "grad_norm": 1.4140625,
126
+ "learning_rate": 0.0002188146945402882,
127
+ "loss": 2.8722,
128
+ "step": 24000
129
+ },
130
+ {
131
+ "epoch": 0.8118530545971179,
132
+ "eval_loss": 2.335789203643799,
133
+ "eval_runtime": 95.1796,
134
+ "eval_samples_per_second": 991.862,
135
+ "eval_steps_per_second": 7.754,
136
+ "step": 24000
137
+ },
138
+ {
139
+ "epoch": 0.9133346864217576,
140
+ "grad_norm": 1.40625,
141
+ "learning_rate": 0.00020866653135782423,
142
+ "loss": 2.8663,
143
+ "step": 27000
144
+ },
145
+ {
146
+ "epoch": 0.9133346864217576,
147
+ "eval_loss": 2.3275110721588135,
148
+ "eval_runtime": 95.2734,
149
+ "eval_samples_per_second": 990.885,
150
+ "eval_steps_per_second": 7.746,
151
+ "step": 27000
152
+ },
153
+ {
154
+ "epoch": 1.0148163182463974,
155
+ "grad_norm": 1.359375,
156
+ "learning_rate": 0.00019851836817536025,
157
+ "loss": 2.8658,
158
+ "step": 30000
159
+ },
160
+ {
161
+ "epoch": 1.0148163182463974,
162
+ "eval_loss": 2.330390453338623,
163
+ "eval_runtime": 95.2824,
164
+ "eval_samples_per_second": 990.792,
165
+ "eval_steps_per_second": 7.745,
166
+ "step": 30000
167
+ },
168
+ {
169
+ "epoch": 1.116297950071037,
170
+ "grad_norm": 1.375,
171
+ "learning_rate": 0.0001883702049928963,
172
+ "loss": 2.8623,
173
+ "step": 33000
174
+ },
175
+ {
176
+ "epoch": 1.116297950071037,
177
+ "eval_loss": 2.3300411701202393,
178
+ "eval_runtime": 95.3514,
179
+ "eval_samples_per_second": 990.074,
180
+ "eval_steps_per_second": 7.74,
181
+ "step": 33000
182
+ },
183
+ {
184
+ "epoch": 1.217779581895677,
185
+ "grad_norm": 1.40625,
186
+ "learning_rate": 0.0001782220418104323,
187
+ "loss": 2.8579,
188
+ "step": 36000
189
+ },
190
+ {
191
+ "epoch": 1.217779581895677,
192
+ "eval_loss": 2.3285059928894043,
193
+ "eval_runtime": 95.288,
194
+ "eval_samples_per_second": 990.734,
195
+ "eval_steps_per_second": 7.745,
196
+ "step": 36000
197
+ },
198
+ {
199
+ "epoch": 1.3192612137203166,
200
+ "grad_norm": 1.9140625,
201
+ "learning_rate": 0.00016807387862796832,
202
+ "loss": 2.857,
203
+ "step": 39000
204
+ },
205
+ {
206
+ "epoch": 1.3192612137203166,
207
+ "eval_loss": 2.3231706619262695,
208
+ "eval_runtime": 95.3264,
209
+ "eval_samples_per_second": 990.334,
210
+ "eval_steps_per_second": 7.742,
211
+ "step": 39000
212
+ },
213
+ {
214
+ "epoch": 1.4207428455449564,
215
+ "grad_norm": 1.359375,
216
+ "learning_rate": 0.00015792571544550436,
217
+ "loss": 2.8552,
218
+ "step": 42000
219
+ },
220
+ {
221
+ "epoch": 1.4207428455449564,
222
+ "eval_loss": 2.3225038051605225,
223
+ "eval_runtime": 95.2774,
224
+ "eval_samples_per_second": 990.843,
225
+ "eval_steps_per_second": 7.746,
226
+ "step": 42000
227
+ },
228
+ {
229
+ "epoch": 1.522224477369596,
230
+ "grad_norm": 1.40625,
231
+ "learning_rate": 0.00014777755226304037,
232
+ "loss": 2.8548,
233
+ "step": 45000
234
+ },
235
+ {
236
+ "epoch": 1.522224477369596,
237
+ "eval_loss": 2.3205666542053223,
238
+ "eval_runtime": 95.4014,
239
+ "eval_samples_per_second": 989.556,
240
+ "eval_steps_per_second": 7.736,
241
+ "step": 45000
242
+ },
243
+ {
244
+ "epoch": 1.6237061091942357,
245
+ "grad_norm": 1.4375,
246
+ "learning_rate": 0.0001376293890805764,
247
+ "loss": 2.8518,
248
+ "step": 48000
249
+ },
250
+ {
251
+ "epoch": 1.6237061091942357,
252
+ "eval_loss": 2.324282169342041,
253
+ "eval_runtime": 95.4158,
254
+ "eval_samples_per_second": 989.407,
255
+ "eval_steps_per_second": 7.735,
256
+ "step": 48000
257
+ },
258
+ {
259
+ "epoch": 1.7251877410188756,
260
+ "grad_norm": 1.7578125,
261
+ "learning_rate": 0.00012748122589811243,
262
+ "loss": 2.8539,
263
+ "step": 51000
264
+ },
265
+ {
266
+ "epoch": 1.7251877410188756,
267
+ "eval_loss": 2.3227896690368652,
268
+ "eval_runtime": 95.374,
269
+ "eval_samples_per_second": 989.84,
270
+ "eval_steps_per_second": 7.738,
271
+ "step": 51000
272
+ },
273
+ {
274
+ "epoch": 1.8266693728435153,
275
+ "grad_norm": 1.34375,
276
+ "learning_rate": 0.00011733306271564845,
277
+ "loss": 2.8483,
278
+ "step": 54000
279
+ },
280
+ {
281
+ "epoch": 1.8266693728435153,
282
+ "eval_loss": 2.3198044300079346,
283
+ "eval_runtime": 95.1153,
284
+ "eval_samples_per_second": 992.532,
285
+ "eval_steps_per_second": 7.759,
286
+ "step": 54000
287
+ },
288
+ {
289
+ "epoch": 1.928151004668155,
290
+ "grad_norm": 1.3359375,
291
+ "learning_rate": 0.00010718489953318448,
292
+ "loss": 2.8512,
293
+ "step": 57000
294
+ },
295
+ {
296
+ "epoch": 1.928151004668155,
297
+ "eval_loss": 2.321180582046509,
298
+ "eval_runtime": 95.1519,
299
+ "eval_samples_per_second": 992.15,
300
+ "eval_steps_per_second": 7.756,
301
+ "step": 57000
302
+ },
303
+ {
304
+ "epoch": 2.029632636492795,
305
+ "grad_norm": 1.3671875,
306
+ "learning_rate": 9.703673635072052e-05,
307
+ "loss": 2.8515,
308
+ "step": 60000
309
+ },
310
+ {
311
+ "epoch": 2.029632636492795,
312
+ "eval_loss": 2.3204078674316406,
313
+ "eval_runtime": 95.1797,
314
+ "eval_samples_per_second": 991.861,
315
+ "eval_steps_per_second": 7.754,
316
+ "step": 60000
317
+ },
318
+ {
319
+ "epoch": 2.1311142683174347,
320
+ "grad_norm": 1.390625,
321
+ "learning_rate": 8.688857316825655e-05,
322
+ "loss": 2.8512,
323
+ "step": 63000
324
+ },
325
+ {
326
+ "epoch": 2.1311142683174347,
327
+ "eval_loss": 2.3204712867736816,
328
+ "eval_runtime": 95.1755,
329
+ "eval_samples_per_second": 991.905,
330
+ "eval_steps_per_second": 7.754,
331
+ "step": 63000
332
+ },
333
+ {
334
+ "epoch": 2.232595900142074,
335
+ "grad_norm": 1.484375,
336
+ "learning_rate": 7.674040998579256e-05,
337
+ "loss": 2.8492,
338
+ "step": 66000
339
+ },
340
+ {
341
+ "epoch": 2.232595900142074,
342
+ "eval_loss": 2.3218369483947754,
343
+ "eval_runtime": 95.2213,
344
+ "eval_samples_per_second": 991.428,
345
+ "eval_steps_per_second": 7.75,
346
+ "step": 66000
347
+ },
348
+ {
349
+ "epoch": 2.334077531966714,
350
+ "grad_norm": 1.4296875,
351
+ "learning_rate": 6.659224680332859e-05,
352
+ "loss": 2.851,
353
+ "step": 69000
354
+ },
355
+ {
356
+ "epoch": 2.334077531966714,
357
+ "eval_loss": 2.3220698833465576,
358
+ "eval_runtime": 95.1826,
359
+ "eval_samples_per_second": 991.831,
360
+ "eval_steps_per_second": 7.754,
361
+ "step": 69000
362
+ },
363
+ {
364
+ "epoch": 2.435559163791354,
365
+ "grad_norm": 1.46875,
366
+ "learning_rate": 5.644408362086462e-05,
367
+ "loss": 2.8497,
368
+ "step": 72000
369
+ },
370
+ {
371
+ "epoch": 2.435559163791354,
372
+ "eval_loss": 2.320767641067505,
373
+ "eval_runtime": 95.2504,
374
+ "eval_samples_per_second": 991.125,
375
+ "eval_steps_per_second": 7.748,
376
+ "step": 72000
377
+ },
378
+ {
379
+ "epoch": 2.5370407956159937,
380
+ "grad_norm": 1.46875,
381
+ "learning_rate": 4.629592043840065e-05,
382
+ "loss": 2.848,
383
+ "step": 75000
384
+ },
385
+ {
386
+ "epoch": 2.5370407956159937,
387
+ "eval_loss": 2.3203125,
388
+ "eval_runtime": 95.295,
389
+ "eval_samples_per_second": 990.661,
390
+ "eval_steps_per_second": 7.744,
391
+ "step": 75000
392
+ },
393
+ {
394
+ "epoch": 2.638522427440633,
395
+ "grad_norm": 1.2265625,
396
+ "learning_rate": 3.614775725593667e-05,
397
+ "loss": 2.852,
398
+ "step": 78000
399
+ },
400
+ {
401
+ "epoch": 2.638522427440633,
402
+ "eval_loss": 2.319963216781616,
403
+ "eval_runtime": 95.168,
404
+ "eval_samples_per_second": 991.982,
405
+ "eval_steps_per_second": 7.755,
406
+ "step": 78000
407
+ },
408
+ {
409
+ "epoch": 2.740004059265273,
410
+ "grad_norm": 1.328125,
411
+ "learning_rate": 2.59995940734727e-05,
412
+ "loss": 2.8483,
413
+ "step": 81000
414
+ },
415
+ {
416
+ "epoch": 2.740004059265273,
417
+ "eval_loss": 2.321169853210449,
418
+ "eval_runtime": 95.17,
419
+ "eval_samples_per_second": 991.962,
420
+ "eval_steps_per_second": 7.755,
421
+ "step": 81000
422
+ },
423
+ {
424
+ "epoch": 2.841485691089913,
425
+ "grad_norm": 1.4296875,
426
+ "learning_rate": 1.5851430891008727e-05,
427
+ "loss": 2.85,
428
+ "step": 84000
429
+ },
430
+ {
431
+ "epoch": 2.841485691089913,
432
+ "eval_loss": 2.3206405639648438,
433
+ "eval_runtime": 95.2006,
434
+ "eval_samples_per_second": 991.642,
435
+ "eval_steps_per_second": 7.752,
436
+ "step": 84000
437
+ },
438
+ {
439
+ "epoch": 2.9429673229145523,
440
+ "grad_norm": 1.375,
441
+ "learning_rate": 5.703267708544753e-06,
442
+ "loss": 2.8503,
443
+ "step": 87000
444
+ },
445
+ {
446
+ "epoch": 2.9429673229145523,
447
+ "eval_loss": 2.320661783218384,
448
+ "eval_runtime": 95.1542,
449
+ "eval_samples_per_second": 992.127,
450
+ "eval_steps_per_second": 7.756,
451
+ "step": 87000
452
+ },
453
+ {
454
+ "epoch": 3.0,
455
+ "step": 88686,
456
+ "total_flos": 1.3129555583125094e+18,
457
+ "train_loss": 2.891493231738944,
458
+ "train_runtime": 37678.5959,
459
+ "train_samples_per_second": 301.271,
460
+ "train_steps_per_second": 2.354
461
+ }
462
+ ],
463
+ "logging_steps": 3000,
464
+ "max_steps": 88686,
465
+ "num_input_tokens_seen": 0,
466
+ "num_train_epochs": 3,
467
+ "save_steps": 3000,
468
+ "stateful_callbacks": {
469
+ "TrainerControl": {
470
+ "args": {
471
+ "should_epoch_stop": false,
472
+ "should_evaluate": false,
473
+ "should_log": false,
474
+ "should_save": true,
475
+ "should_training_stop": true
476
+ },
477
+ "attributes": {}
478
+ }
479
+ },
480
+ "total_flos": 1.3129555583125094e+18,
481
+ "train_batch_size": 128,
482
+ "trial_name": null,
483
+ "trial_params": null
484
+ }
training_args.json ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "output_dir": "out_models/mt5-small-gigatrue",
3
+ "overwrite_output_dir": false,
4
+ "do_train": false,
5
+ "do_eval": true,
6
+ "do_predict": false,
7
+ "eval_strategy": "steps",
8
+ "prediction_loss_only": false,
9
+ "per_device_train_batch_size": 128,
10
+ "per_device_eval_batch_size": 128,
11
+ "per_gpu_train_batch_size": null,
12
+ "per_gpu_eval_batch_size": null,
13
+ "gradient_accumulation_steps": 1,
14
+ "eval_accumulation_steps": null,
15
+ "eval_delay": 0,
16
+ "torch_empty_cache_steps": null,
17
+ "learning_rate": 0.0003,
18
+ "weight_decay": 0.0,
19
+ "adam_beta1": 0.9,
20
+ "adam_beta2": 0.999,
21
+ "adam_epsilon": 1e-08,
22
+ "max_grad_norm": 1.0,
23
+ "num_train_epochs": 3,
24
+ "max_steps": -1,
25
+ "lr_scheduler_type": "linear",
26
+ "lr_scheduler_kwargs": {},
27
+ "warmup_ratio": 0.0,
28
+ "warmup_steps": 0,
29
+ "log_level": "passive",
30
+ "log_level_replica": "warning",
31
+ "log_on_each_node": true,
32
+ "logging_dir": "out_models/mt5-small-gigatrue/logs",
33
+ "logging_strategy": "steps",
34
+ "logging_first_step": true,
35
+ "logging_steps": 3000,
36
+ "logging_nan_inf_filter": true,
37
+ "save_strategy": "steps",
38
+ "save_steps": 3000,
39
+ "save_total_limit": null,
40
+ "save_safetensors": true,
41
+ "save_on_each_node": false,
42
+ "save_only_model": false,
43
+ "restore_callback_states_from_checkpoint": false,
44
+ "no_cuda": false,
45
+ "use_cpu": false,
46
+ "use_mps_device": false,
47
+ "seed": 42,
48
+ "data_seed": null,
49
+ "jit_mode_eval": false,
50
+ "use_ipex": false,
51
+ "bf16": false,
52
+ "fp16": false,
53
+ "fp16_opt_level": "O1",
54
+ "half_precision_backend": "auto",
55
+ "bf16_full_eval": false,
56
+ "fp16_full_eval": false,
57
+ "tf32": null,
58
+ "local_rank": 0,
59
+ "ddp_backend": null,
60
+ "tpu_num_cores": null,
61
+ "tpu_metrics_debug": false,
62
+ "debug": [],
63
+ "dataloader_drop_last": false,
64
+ "eval_steps": 3000,
65
+ "dataloader_num_workers": 0,
66
+ "dataloader_prefetch_factor": null,
67
+ "past_index": -1,
68
+ "run_name": "out_models/mt5-small-gigatrue",
69
+ "disable_tqdm": false,
70
+ "remove_unused_columns": true,
71
+ "label_names": null,
72
+ "load_best_model_at_end": false,
73
+ "metric_for_best_model": null,
74
+ "greater_is_better": null,
75
+ "ignore_data_skip": false,
76
+ "fsdp": [],
77
+ "fsdp_min_num_params": 0,
78
+ "fsdp_config": {
79
+ "min_num_params": 0,
80
+ "xla": false,
81
+ "xla_fsdp_v2": false,
82
+ "xla_fsdp_grad_ckpt": false
83
+ },
84
+ "fsdp_transformer_layer_cls_to_wrap": null,
85
+ "accelerator_config": "AcceleratorConfig",
86
+ "deepspeed": null,
87
+ "label_smoothing_factor": 0.0,
88
+ "optim": "adamw_torch",
89
+ "optim_args": null,
90
+ "adafactor": false,
91
+ "group_by_length": false,
92
+ "length_column_name": "length",
93
+ "report_to": [
94
+ "tensorboard"
95
+ ],
96
+ "ddp_find_unused_parameters": null,
97
+ "ddp_bucket_cap_mb": null,
98
+ "ddp_broadcast_buffers": null,
99
+ "dataloader_pin_memory": true,
100
+ "dataloader_persistent_workers": false,
101
+ "skip_memory_metrics": true,
102
+ "use_legacy_prediction_loop": false,
103
+ "push_to_hub": false,
104
+ "resume_from_checkpoint": null,
105
+ "hub_model_id": null,
106
+ "hub_strategy": "every_save",
107
+ "hub_token": null,
108
+ "hub_private_repo": false,
109
+ "hub_always_push": false,
110
+ "gradient_checkpointing": false,
111
+ "gradient_checkpointing_kwargs": null,
112
+ "include_inputs_for_metrics": false,
113
+ "eval_do_concat_batches": true,
114
+ "fp16_backend": "auto",
115
+ "evaluation_strategy": null,
116
+ "push_to_hub_model_id": null,
117
+ "push_to_hub_organization": null,
118
+ "push_to_hub_token": null,
119
+ "mp_parameters": "",
120
+ "auto_find_batch_size": false,
121
+ "full_determinism": false,
122
+ "torchdynamo": null,
123
+ "ray_scope": "last",
124
+ "ddp_timeout": 1800,
125
+ "torch_compile": false,
126
+ "torch_compile_backend": null,
127
+ "torch_compile_mode": null,
128
+ "dispatch_batches": null,
129
+ "split_batches": null,
130
+ "include_tokens_per_second": false,
131
+ "include_num_input_tokens_seen": false,
132
+ "neftune_noise_alpha": null,
133
+ "optim_target_modules": null,
134
+ "batch_eval_metrics": false,
135
+ "eval_on_start": false,
136
+ "use_liger_kernel": false,
137
+ "eval_use_gather_object": false,
138
+ "sortish_sampler": false,
139
+ "predict_with_generate": false,
140
+ "generation_max_length": null,
141
+ "generation_num_beams": null,
142
+ "generation_config": null,
143
+ "distributed_state": "PartialState",
144
+ "_n_gpu": 1,
145
+ "__cached__setup_devices": "device",
146
+ "deepspeed_plugin": null
147
+ }