sedrickkeh commited on
Commit
d688721
·
verified ·
1 Parent(s): 476be5d

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-7B
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: hp_ablations_qwen_epoch2_dcftv1.2
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # hp_ablations_qwen_epoch2_dcftv1.2
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.6332
21
 
 
4
  base_model: Qwen/Qwen2.5-7B
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: hp_ablations_qwen_epoch2_dcftv1.2
 
16
 
17
  # hp_ablations_qwen_epoch2_dcftv1.2
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.6332
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9967081199707388,
3
+ "eval_loss": 0.6331745386123657,
4
+ "eval_runtime": 344.4391,
5
+ "eval_samples_per_second": 26.736,
6
+ "eval_steps_per_second": 0.418,
7
+ "total_flos": 1429904000286720.0,
8
+ "train_loss": 0.6341017776570362,
9
+ "train_runtime": 36533.8026,
10
+ "train_samples_per_second": 9.578,
11
+ "train_steps_per_second": 0.019
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9967081199707388,
3
+ "eval_loss": 0.6331745386123657,
4
+ "eval_runtime": 344.4391,
5
+ "eval_samples_per_second": 26.736,
6
+ "eval_steps_per_second": 0.418
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9967081199707388,
3
+ "total_flos": 1429904000286720.0,
4
+ "train_loss": 0.6341017776570362,
5
+ "train_runtime": 36533.8026,
6
+ "train_samples_per_second": 9.578,
7
+ "train_steps_per_second": 0.019
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,534 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9967081199707388,
5
+ "eval_steps": 500,
6
+ "global_step": 682,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.029261155815654718,
13
+ "grad_norm": 3.175921153645058,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.8015,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.058522311631309436,
20
+ "grad_norm": 1.3396777412592173,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.7413,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.08778346744696415,
27
+ "grad_norm": 1.2916710481318188,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.7082,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.11704462326261887,
34
+ "grad_norm": 1.0905232711210158,
35
+ "learning_rate": 5e-06,
36
+ "loss": 0.6969,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.14630577907827358,
41
+ "grad_norm": 1.1424161224062557,
42
+ "learning_rate": 5e-06,
43
+ "loss": 0.687,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.1755669348939283,
48
+ "grad_norm": 0.8849186232279377,
49
+ "learning_rate": 5e-06,
50
+ "loss": 0.6763,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.20482809070958302,
55
+ "grad_norm": 0.5905751294504246,
56
+ "learning_rate": 5e-06,
57
+ "loss": 0.6697,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.23408924652523774,
62
+ "grad_norm": 0.401552296803231,
63
+ "learning_rate": 5e-06,
64
+ "loss": 0.6646,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.26335040234089246,
69
+ "grad_norm": 0.41681057235289837,
70
+ "learning_rate": 5e-06,
71
+ "loss": 0.6618,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.29261155815654716,
76
+ "grad_norm": 0.42307500226012484,
77
+ "learning_rate": 5e-06,
78
+ "loss": 0.6543,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.3218727139722019,
83
+ "grad_norm": 0.4153399483829215,
84
+ "learning_rate": 5e-06,
85
+ "loss": 0.6631,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.3511338697878566,
90
+ "grad_norm": 0.3802571943412753,
91
+ "learning_rate": 5e-06,
92
+ "loss": 0.668,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.38039502560351135,
97
+ "grad_norm": 0.3888172781548047,
98
+ "learning_rate": 5e-06,
99
+ "loss": 0.6518,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.40965618141916604,
104
+ "grad_norm": 0.3637230321906593,
105
+ "learning_rate": 5e-06,
106
+ "loss": 0.6525,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.4389173372348208,
111
+ "grad_norm": 0.3510916975433033,
112
+ "learning_rate": 5e-06,
113
+ "loss": 0.6479,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.4681784930504755,
118
+ "grad_norm": 0.38320736963066604,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.6498,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.49743964886613024,
125
+ "grad_norm": 0.3675280277212547,
126
+ "learning_rate": 5e-06,
127
+ "loss": 0.6549,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.5267008046817849,
132
+ "grad_norm": 0.33533114288412946,
133
+ "learning_rate": 5e-06,
134
+ "loss": 0.6545,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.5559619604974396,
139
+ "grad_norm": 0.35908138669562806,
140
+ "learning_rate": 5e-06,
141
+ "loss": 0.643,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.5852231163130943,
146
+ "grad_norm": 0.34531459956691446,
147
+ "learning_rate": 5e-06,
148
+ "loss": 0.6442,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.6144842721287491,
153
+ "grad_norm": 0.3410477096323079,
154
+ "learning_rate": 5e-06,
155
+ "loss": 0.6508,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.6437454279444038,
160
+ "grad_norm": 0.35442684790995665,
161
+ "learning_rate": 5e-06,
162
+ "loss": 0.6388,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.6730065837600585,
167
+ "grad_norm": 0.36210107670842623,
168
+ "learning_rate": 5e-06,
169
+ "loss": 0.6387,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.7022677395757132,
174
+ "grad_norm": 0.3320010813437129,
175
+ "learning_rate": 5e-06,
176
+ "loss": 0.6456,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.731528895391368,
181
+ "grad_norm": 0.3431211501390758,
182
+ "learning_rate": 5e-06,
183
+ "loss": 0.644,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.7607900512070227,
188
+ "grad_norm": 0.34117908000054753,
189
+ "learning_rate": 5e-06,
190
+ "loss": 0.6466,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.7900512070226774,
195
+ "grad_norm": 0.3767554348039686,
196
+ "learning_rate": 5e-06,
197
+ "loss": 0.6489,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.8193123628383321,
202
+ "grad_norm": 0.3445121930815649,
203
+ "learning_rate": 5e-06,
204
+ "loss": 0.6477,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.8485735186539868,
209
+ "grad_norm": 0.334717792180829,
210
+ "learning_rate": 5e-06,
211
+ "loss": 0.6399,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.8778346744696416,
216
+ "grad_norm": 0.35014998369274103,
217
+ "learning_rate": 5e-06,
218
+ "loss": 0.6318,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.9070958302852963,
223
+ "grad_norm": 0.35107697366353213,
224
+ "learning_rate": 5e-06,
225
+ "loss": 0.6448,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.936356986100951,
230
+ "grad_norm": 0.33329010626592986,
231
+ "learning_rate": 5e-06,
232
+ "loss": 0.6368,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.9656181419166057,
237
+ "grad_norm": 0.375641145522458,
238
+ "learning_rate": 5e-06,
239
+ "loss": 0.6401,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.9948792977322605,
244
+ "grad_norm": 0.35063232128414173,
245
+ "learning_rate": 5e-06,
246
+ "loss": 0.6361,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.9978054133138259,
251
+ "eval_loss": 0.6406120657920837,
252
+ "eval_runtime": 342.7414,
253
+ "eval_samples_per_second": 26.869,
254
+ "eval_steps_per_second": 0.42,
255
+ "step": 341
256
+ },
257
+ {
258
+ "epoch": 1.025237746891002,
259
+ "grad_norm": 0.3689065333115297,
260
+ "learning_rate": 5e-06,
261
+ "loss": 0.6512,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 1.054498902706657,
266
+ "grad_norm": 0.35245512949324603,
267
+ "learning_rate": 5e-06,
268
+ "loss": 0.6053,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 1.0837600585223117,
273
+ "grad_norm": 0.4097569215434824,
274
+ "learning_rate": 5e-06,
275
+ "loss": 0.6087,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 1.1130212143379663,
280
+ "grad_norm": 0.33409266355289313,
281
+ "learning_rate": 5e-06,
282
+ "loss": 0.6061,
283
+ "step": 380
284
+ },
285
+ {
286
+ "epoch": 1.142282370153621,
287
+ "grad_norm": 0.39236431067207433,
288
+ "learning_rate": 5e-06,
289
+ "loss": 0.6114,
290
+ "step": 390
291
+ },
292
+ {
293
+ "epoch": 1.1715435259692757,
294
+ "grad_norm": 0.35552129157860685,
295
+ "learning_rate": 5e-06,
296
+ "loss": 0.6129,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 1.2008046817849305,
301
+ "grad_norm": 0.3510300665384777,
302
+ "learning_rate": 5e-06,
303
+ "loss": 0.6125,
304
+ "step": 410
305
+ },
306
+ {
307
+ "epoch": 1.2300658376005853,
308
+ "grad_norm": 0.40194969560487526,
309
+ "learning_rate": 5e-06,
310
+ "loss": 0.6007,
311
+ "step": 420
312
+ },
313
+ {
314
+ "epoch": 1.2593269934162399,
315
+ "grad_norm": 0.3583207046748375,
316
+ "learning_rate": 5e-06,
317
+ "loss": 0.6108,
318
+ "step": 430
319
+ },
320
+ {
321
+ "epoch": 1.2885881492318947,
322
+ "grad_norm": 0.344522115799079,
323
+ "learning_rate": 5e-06,
324
+ "loss": 0.6036,
325
+ "step": 440
326
+ },
327
+ {
328
+ "epoch": 1.3178493050475493,
329
+ "grad_norm": 0.36157379087095487,
330
+ "learning_rate": 5e-06,
331
+ "loss": 0.6073,
332
+ "step": 450
333
+ },
334
+ {
335
+ "epoch": 1.347110460863204,
336
+ "grad_norm": 0.3791515880385353,
337
+ "learning_rate": 5e-06,
338
+ "loss": 0.6049,
339
+ "step": 460
340
+ },
341
+ {
342
+ "epoch": 1.3763716166788589,
343
+ "grad_norm": 0.3220281951589229,
344
+ "learning_rate": 5e-06,
345
+ "loss": 0.6023,
346
+ "step": 470
347
+ },
348
+ {
349
+ "epoch": 1.4056327724945135,
350
+ "grad_norm": 0.3692472075176485,
351
+ "learning_rate": 5e-06,
352
+ "loss": 0.6031,
353
+ "step": 480
354
+ },
355
+ {
356
+ "epoch": 1.4348939283101683,
357
+ "grad_norm": 0.3464968328092362,
358
+ "learning_rate": 5e-06,
359
+ "loss": 0.6095,
360
+ "step": 490
361
+ },
362
+ {
363
+ "epoch": 1.464155084125823,
364
+ "grad_norm": 0.3395757657902888,
365
+ "learning_rate": 5e-06,
366
+ "loss": 0.5978,
367
+ "step": 500
368
+ },
369
+ {
370
+ "epoch": 1.4934162399414777,
371
+ "grad_norm": 0.3472100724313473,
372
+ "learning_rate": 5e-06,
373
+ "loss": 0.6059,
374
+ "step": 510
375
+ },
376
+ {
377
+ "epoch": 1.5226773957571325,
378
+ "grad_norm": 0.3853659527551535,
379
+ "learning_rate": 5e-06,
380
+ "loss": 0.6082,
381
+ "step": 520
382
+ },
383
+ {
384
+ "epoch": 1.5519385515727873,
385
+ "grad_norm": 0.35016819999626914,
386
+ "learning_rate": 5e-06,
387
+ "loss": 0.6068,
388
+ "step": 530
389
+ },
390
+ {
391
+ "epoch": 1.5811997073884418,
392
+ "grad_norm": 0.36893370536117037,
393
+ "learning_rate": 5e-06,
394
+ "loss": 0.6134,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 1.6104608632040964,
399
+ "grad_norm": 0.35806464799349075,
400
+ "learning_rate": 5e-06,
401
+ "loss": 0.6044,
402
+ "step": 550
403
+ },
404
+ {
405
+ "epoch": 1.6397220190197512,
406
+ "grad_norm": 0.34859310509445396,
407
+ "learning_rate": 5e-06,
408
+ "loss": 0.6061,
409
+ "step": 560
410
+ },
411
+ {
412
+ "epoch": 1.668983174835406,
413
+ "grad_norm": 0.3249373585587818,
414
+ "learning_rate": 5e-06,
415
+ "loss": 0.5968,
416
+ "step": 570
417
+ },
418
+ {
419
+ "epoch": 1.6982443306510606,
420
+ "grad_norm": 0.35605026962044284,
421
+ "learning_rate": 5e-06,
422
+ "loss": 0.6061,
423
+ "step": 580
424
+ },
425
+ {
426
+ "epoch": 1.7275054864667154,
427
+ "grad_norm": 0.40161934702478636,
428
+ "learning_rate": 5e-06,
429
+ "loss": 0.6063,
430
+ "step": 590
431
+ },
432
+ {
433
+ "epoch": 1.7567666422823702,
434
+ "grad_norm": 0.33968611303586627,
435
+ "learning_rate": 5e-06,
436
+ "loss": 0.6032,
437
+ "step": 600
438
+ },
439
+ {
440
+ "epoch": 1.7860277980980248,
441
+ "grad_norm": 0.343315623639703,
442
+ "learning_rate": 5e-06,
443
+ "loss": 0.6056,
444
+ "step": 610
445
+ },
446
+ {
447
+ "epoch": 1.8152889539136796,
448
+ "grad_norm": 0.32594291618046917,
449
+ "learning_rate": 5e-06,
450
+ "loss": 0.6061,
451
+ "step": 620
452
+ },
453
+ {
454
+ "epoch": 1.8445501097293344,
455
+ "grad_norm": 0.35524107661998305,
456
+ "learning_rate": 5e-06,
457
+ "loss": 0.6052,
458
+ "step": 630
459
+ },
460
+ {
461
+ "epoch": 1.873811265544989,
462
+ "grad_norm": 0.32891502990480825,
463
+ "learning_rate": 5e-06,
464
+ "loss": 0.6,
465
+ "step": 640
466
+ },
467
+ {
468
+ "epoch": 1.9030724213606436,
469
+ "grad_norm": 0.362729694863619,
470
+ "learning_rate": 5e-06,
471
+ "loss": 0.6057,
472
+ "step": 650
473
+ },
474
+ {
475
+ "epoch": 1.9323335771762986,
476
+ "grad_norm": 0.3500563113476431,
477
+ "learning_rate": 5e-06,
478
+ "loss": 0.6062,
479
+ "step": 660
480
+ },
481
+ {
482
+ "epoch": 1.9615947329919532,
483
+ "grad_norm": 0.33206893588035147,
484
+ "learning_rate": 5e-06,
485
+ "loss": 0.595,
486
+ "step": 670
487
+ },
488
+ {
489
+ "epoch": 1.9908558888076078,
490
+ "grad_norm": 0.35566741239182464,
491
+ "learning_rate": 5e-06,
492
+ "loss": 0.6095,
493
+ "step": 680
494
+ },
495
+ {
496
+ "epoch": 1.9967081199707388,
497
+ "eval_loss": 0.6331745386123657,
498
+ "eval_runtime": 342.0192,
499
+ "eval_samples_per_second": 26.925,
500
+ "eval_steps_per_second": 0.421,
501
+ "step": 682
502
+ },
503
+ {
504
+ "epoch": 1.9967081199707388,
505
+ "step": 682,
506
+ "total_flos": 1429904000286720.0,
507
+ "train_loss": 0.6341017776570362,
508
+ "train_runtime": 36533.8026,
509
+ "train_samples_per_second": 9.578,
510
+ "train_steps_per_second": 0.019
511
+ }
512
+ ],
513
+ "logging_steps": 10,
514
+ "max_steps": 682,
515
+ "num_input_tokens_seen": 0,
516
+ "num_train_epochs": 2,
517
+ "save_steps": 500,
518
+ "stateful_callbacks": {
519
+ "TrainerControl": {
520
+ "args": {
521
+ "should_epoch_stop": false,
522
+ "should_evaluate": false,
523
+ "should_log": false,
524
+ "should_save": true,
525
+ "should_training_stop": true
526
+ },
527
+ "attributes": {}
528
+ }
529
+ },
530
+ "total_flos": 1429904000286720.0,
531
+ "train_batch_size": 8,
532
+ "trial_name": null,
533
+ "trial_params": null
534
+ }
training_eval_loss.png ADDED
training_loss.png ADDED