sedrickkeh commited on
Commit
cd926cc
·
verified ·
1 Parent(s): 63bbdf9

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_scheduler_cosine_warmup0.10_dcftv1.2
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # hp_ablations_qwen_scheduler_cosine_warmup0.10_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: 0.6357
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_scheduler_cosine_warmup0.10_dcftv1.2
 
16
 
17
  # hp_ablations_qwen_scheduler_cosine_warmup0.10_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: 0.6357
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9956108266276518,
3
+ "eval_loss": 0.6357362270355225,
4
+ "eval_runtime": 342.5337,
5
+ "eval_samples_per_second": 26.885,
6
+ "eval_steps_per_second": 0.42,
7
+ "total_flos": 2144987064041472.0,
8
+ "train_loss": 0.6275725323899867,
9
+ "train_runtime": 54929.7845,
10
+ "train_samples_per_second": 9.555,
11
+ "train_steps_per_second": 0.019
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9956108266276518,
3
+ "eval_loss": 0.6357362270355225,
4
+ "eval_runtime": 342.5337,
5
+ "eval_samples_per_second": 26.885,
6
+ "eval_steps_per_second": 0.42
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9956108266276518,
3
+ "total_flos": 2144987064041472.0,
4
+ "train_loss": 0.6275725323899867,
5
+ "train_runtime": 54929.7845,
6
+ "train_samples_per_second": 9.555,
7
+ "train_steps_per_second": 0.019
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,780 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9956108266276518,
5
+ "eval_steps": 500,
6
+ "global_step": 1023,
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": 13.94059376383442,
14
+ "learning_rate": 4.854368932038835e-07,
15
+ "loss": 0.8889,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.058522311631309436,
20
+ "grad_norm": 9.399275788852298,
21
+ "learning_rate": 9.70873786407767e-07,
22
+ "loss": 0.8672,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.08778346744696415,
27
+ "grad_norm": 1.6907766019894934,
28
+ "learning_rate": 1.4563106796116506e-06,
29
+ "loss": 0.7912,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.11704462326261887,
34
+ "grad_norm": 1.2860426174509976,
35
+ "learning_rate": 1.941747572815534e-06,
36
+ "loss": 0.7565,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.14630577907827358,
41
+ "grad_norm": 1.3375853087497869,
42
+ "learning_rate": 2.427184466019418e-06,
43
+ "loss": 0.7353,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.1755669348939283,
48
+ "grad_norm": 2.907056106049806,
49
+ "learning_rate": 2.912621359223301e-06,
50
+ "loss": 0.7201,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.20482809070958302,
55
+ "grad_norm": 1.1476046831775073,
56
+ "learning_rate": 3.398058252427185e-06,
57
+ "loss": 0.7089,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.23408924652523774,
62
+ "grad_norm": 1.1135226365031068,
63
+ "learning_rate": 3.883495145631068e-06,
64
+ "loss": 0.699,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.26335040234089246,
69
+ "grad_norm": 1.146206569363389,
70
+ "learning_rate": 4.368932038834952e-06,
71
+ "loss": 0.6889,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.29261155815654716,
76
+ "grad_norm": 0.9140774724299752,
77
+ "learning_rate": 4.854368932038836e-06,
78
+ "loss": 0.6734,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.3218727139722019,
83
+ "grad_norm": 0.588701958865582,
84
+ "learning_rate": 4.999285817005508e-06,
85
+ "loss": 0.6756,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.3511338697878566,
90
+ "grad_norm": 0.4082554657073974,
91
+ "learning_rate": 4.995788760114507e-06,
92
+ "loss": 0.6771,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.38039502560351135,
97
+ "grad_norm": 0.4058528373173876,
98
+ "learning_rate": 4.9893817251717034e-06,
99
+ "loss": 0.6593,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.40965618141916604,
104
+ "grad_norm": 0.4247857730723825,
105
+ "learning_rate": 4.98007218249324e-06,
106
+ "loss": 0.659,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.4389173372348208,
111
+ "grad_norm": 0.36161516478754074,
112
+ "learning_rate": 4.96787098658944e-06,
113
+ "loss": 0.6537,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.4681784930504755,
118
+ "grad_norm": 0.40515744300029327,
119
+ "learning_rate": 4.952792363508943e-06,
120
+ "loss": 0.6551,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.49743964886613024,
125
+ "grad_norm": 0.3651631470091895,
126
+ "learning_rate": 4.934853894251754e-06,
127
+ "loss": 0.6597,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.5267008046817849,
132
+ "grad_norm": 0.33671351155261603,
133
+ "learning_rate": 4.914076494270601e-06,
134
+ "loss": 0.659,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.5559619604974396,
139
+ "grad_norm": 0.36601574444406737,
140
+ "learning_rate": 4.890484389084437e-06,
141
+ "loss": 0.6472,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.5852231163130943,
146
+ "grad_norm": 0.35099231151506444,
147
+ "learning_rate": 4.864105086032581e-06,
148
+ "loss": 0.6481,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.6144842721287491,
153
+ "grad_norm": 0.3432304898955751,
154
+ "learning_rate": 4.834969342202383e-06,
155
+ "loss": 0.6545,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.6437454279444038,
160
+ "grad_norm": 0.3544675295601586,
161
+ "learning_rate": 4.803111128567838e-06,
162
+ "loss": 0.6422,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.6730065837600585,
167
+ "grad_norm": 0.3638869764486878,
168
+ "learning_rate": 4.768567590380951e-06,
169
+ "loss": 0.642,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.7022677395757132,
174
+ "grad_norm": 0.33982788262633873,
175
+ "learning_rate": 4.731379003862036e-06,
176
+ "loss": 0.6488,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.731528895391368,
181
+ "grad_norm": 0.33830424532637865,
182
+ "learning_rate": 4.6915887292394395e-06,
183
+ "loss": 0.647,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.7607900512070227,
188
+ "grad_norm": 0.3487388233248073,
189
+ "learning_rate": 4.64924316019346e-06,
190
+ "loss": 0.6495,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.7900512070226774,
195
+ "grad_norm": 0.38614924762564196,
196
+ "learning_rate": 4.604391669763386e-06,
197
+ "loss": 0.6517,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.8193123628383321,
202
+ "grad_norm": 0.3473530362547047,
203
+ "learning_rate": 4.55708655278075e-06,
204
+ "loss": 0.6504,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.8485735186539868,
209
+ "grad_norm": 0.3337564100743828,
210
+ "learning_rate": 4.507382964895885e-06,
211
+ "loss": 0.6425,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.8778346744696416,
216
+ "grad_norm": 0.34801291927165795,
217
+ "learning_rate": 4.455338858268903e-06,
218
+ "loss": 0.6342,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.9070958302852963,
223
+ "grad_norm": 0.3493046699878889,
224
+ "learning_rate": 4.401014914000078e-06,
225
+ "loss": 0.6473,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.936356986100951,
230
+ "grad_norm": 0.33072375208045185,
231
+ "learning_rate": 4.344474471378389e-06,
232
+ "loss": 0.6392,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.9656181419166057,
237
+ "grad_norm": 0.37834684345351405,
238
+ "learning_rate": 4.285783454030748e-06,
239
+ "loss": 0.6424,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.9948792977322605,
244
+ "grad_norm": 0.3525861974780877,
245
+ "learning_rate": 4.225010293057994e-06,
246
+ "loss": 0.6383,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.9978054133138259,
251
+ "eval_loss": 0.6428639888763428,
252
+ "eval_runtime": 344.3081,
253
+ "eval_samples_per_second": 26.746,
254
+ "eval_steps_per_second": 0.418,
255
+ "step": 341
256
+ },
257
+ {
258
+ "epoch": 1.025237746891002,
259
+ "grad_norm": 0.3653650833935323,
260
+ "learning_rate": 4.1622258472472955e-06,
261
+ "loss": 0.6573,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 1.054498902706657,
266
+ "grad_norm": 0.3784080463365135,
267
+ "learning_rate": 4.097503320453971e-06,
268
+ "loss": 0.612,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 1.0837600585223117,
273
+ "grad_norm": 0.3829697605686294,
274
+ "learning_rate": 4.030918176249072e-06,
275
+ "loss": 0.6153,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 1.1130212143379663,
280
+ "grad_norm": 0.3137051948696285,
281
+ "learning_rate": 3.962548049932232e-06,
282
+ "loss": 0.6125,
283
+ "step": 380
284
+ },
285
+ {
286
+ "epoch": 1.142282370153621,
287
+ "grad_norm": 0.3929486566480964,
288
+ "learning_rate": 3.892472658012379e-06,
289
+ "loss": 0.6177,
290
+ "step": 390
291
+ },
292
+ {
293
+ "epoch": 1.1715435259692757,
294
+ "grad_norm": 0.35216535521228837,
295
+ "learning_rate": 3.820773705261854e-06,
296
+ "loss": 0.6193,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 1.2008046817849305,
301
+ "grad_norm": 0.35034638383878064,
302
+ "learning_rate": 3.747534789452304e-06,
303
+ "loss": 0.619,
304
+ "step": 410
305
+ },
306
+ {
307
+ "epoch": 1.2300658376005853,
308
+ "grad_norm": 0.349728048184571,
309
+ "learning_rate": 3.6728413038834132e-06,
310
+ "loss": 0.6068,
311
+ "step": 420
312
+ },
313
+ {
314
+ "epoch": 1.2593269934162399,
315
+ "grad_norm": 0.32360580145766005,
316
+ "learning_rate": 3.5967803378181387e-06,
317
+ "loss": 0.6171,
318
+ "step": 430
319
+ },
320
+ {
321
+ "epoch": 1.2885881492318947,
322
+ "grad_norm": 0.39293541402530385,
323
+ "learning_rate": 3.519440574940529e-06,
324
+ "loss": 0.6093,
325
+ "step": 440
326
+ },
327
+ {
328
+ "epoch": 1.3178493050475493,
329
+ "grad_norm": 0.3414483236947501,
330
+ "learning_rate": 3.4409121899545087e-06,
331
+ "loss": 0.6133,
332
+ "step": 450
333
+ },
334
+ {
335
+ "epoch": 1.347110460863204,
336
+ "grad_norm": 0.3278844037107844,
337
+ "learning_rate": 3.3612867434442135e-06,
338
+ "loss": 0.6106,
339
+ "step": 460
340
+ },
341
+ {
342
+ "epoch": 1.3763716166788589,
343
+ "grad_norm": 0.321882966456194,
344
+ "learning_rate": 3.2806570751184406e-06,
345
+ "loss": 0.608,
346
+ "step": 470
347
+ },
348
+ {
349
+ "epoch": 1.4056327724945135,
350
+ "grad_norm": 0.3313301079174284,
351
+ "learning_rate": 3.1991171955637036e-06,
352
+ "loss": 0.6085,
353
+ "step": 480
354
+ },
355
+ {
356
+ "epoch": 1.4348939283101683,
357
+ "grad_norm": 0.3618931122135215,
358
+ "learning_rate": 3.1167621766320932e-06,
359
+ "loss": 0.615,
360
+ "step": 490
361
+ },
362
+ {
363
+ "epoch": 1.464155084125823,
364
+ "grad_norm": 0.3379032463009361,
365
+ "learning_rate": 3.0336880405917496e-06,
366
+ "loss": 0.6033,
367
+ "step": 500
368
+ },
369
+ {
370
+ "epoch": 1.4934162399414777,
371
+ "grad_norm": 0.33139858469368133,
372
+ "learning_rate": 2.949991648169196e-06,
373
+ "loss": 0.6113,
374
+ "step": 510
375
+ },
376
+ {
377
+ "epoch": 1.5226773957571325,
378
+ "grad_norm": 0.3347833206243534,
379
+ "learning_rate": 2.8657705856140596e-06,
380
+ "loss": 0.6136,
381
+ "step": 520
382
+ },
383
+ {
384
+ "epoch": 1.5519385515727873,
385
+ "grad_norm": 0.355429846245808,
386
+ "learning_rate": 2.7811230509178745e-06,
387
+ "loss": 0.6123,
388
+ "step": 530
389
+ },
390
+ {
391
+ "epoch": 1.5811997073884418,
392
+ "grad_norm": 0.32961205810710803,
393
+ "learning_rate": 2.696147739319613e-06,
394
+ "loss": 0.6188,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 1.6104608632040964,
399
+ "grad_norm": 0.34292268734676556,
400
+ "learning_rate": 2.6109437282314535e-06,
401
+ "loss": 0.6096,
402
+ "step": 550
403
+ },
404
+ {
405
+ "epoch": 1.6397220190197512,
406
+ "grad_norm": 0.3361710529625224,
407
+ "learning_rate": 2.5256103617189504e-06,
408
+ "loss": 0.6113,
409
+ "step": 560
410
+ },
411
+ {
412
+ "epoch": 1.668983174835406,
413
+ "grad_norm": 0.3287644537344635,
414
+ "learning_rate": 2.440247134670294e-06,
415
+ "loss": 0.6018,
416
+ "step": 570
417
+ },
418
+ {
419
+ "epoch": 1.6982443306510606,
420
+ "grad_norm": 0.3350539367772555,
421
+ "learning_rate": 2.354953576789727e-06,
422
+ "loss": 0.6115,
423
+ "step": 580
424
+ },
425
+ {
426
+ "epoch": 1.7275054864667154,
427
+ "grad_norm": 0.3231456537602999,
428
+ "learning_rate": 2.269829136550355e-06,
429
+ "loss": 0.6111,
430
+ "step": 590
431
+ },
432
+ {
433
+ "epoch": 1.7567666422823702,
434
+ "grad_norm": 0.3397466635497397,
435
+ "learning_rate": 2.1849730652416825e-06,
436
+ "loss": 0.6081,
437
+ "step": 600
438
+ },
439
+ {
440
+ "epoch": 1.7860277980980248,
441
+ "grad_norm": 0.35598143646367475,
442
+ "learning_rate": 2.1004843012470437e-06,
443
+ "loss": 0.6106,
444
+ "step": 610
445
+ },
446
+ {
447
+ "epoch": 1.8152889539136796,
448
+ "grad_norm": 0.31311913029998645,
449
+ "learning_rate": 2.016461354685876e-06,
450
+ "loss": 0.6109,
451
+ "step": 620
452
+ },
453
+ {
454
+ "epoch": 1.8445501097293344,
455
+ "grad_norm": 0.3177142604141687,
456
+ "learning_rate": 1.9330021925553253e-06,
457
+ "loss": 0.6101,
458
+ "step": 630
459
+ },
460
+ {
461
+ "epoch": 1.873811265544989,
462
+ "grad_norm": 0.3195475865970179,
463
+ "learning_rate": 1.8502041245051114e-06,
464
+ "loss": 0.6047,
465
+ "step": 640
466
+ },
467
+ {
468
+ "epoch": 1.9030724213606436,
469
+ "grad_norm": 0.34485831325499466,
470
+ "learning_rate": 1.7681636893788302e-06,
471
+ "loss": 0.6106,
472
+ "step": 650
473
+ },
474
+ {
475
+ "epoch": 1.9323335771762986,
476
+ "grad_norm": 0.3101316144954113,
477
+ "learning_rate": 1.6869765426539759e-06,
478
+ "loss": 0.611,
479
+ "step": 660
480
+ },
481
+ {
482
+ "epoch": 1.9615947329919532,
483
+ "grad_norm": 0.3256937223780742,
484
+ "learning_rate": 1.6067373449119387e-06,
485
+ "loss": 0.5998,
486
+ "step": 670
487
+ },
488
+ {
489
+ "epoch": 1.9908558888076078,
490
+ "grad_norm": 0.3162290387753267,
491
+ "learning_rate": 1.5275396514679986e-06,
492
+ "loss": 0.6143,
493
+ "step": 680
494
+ },
495
+ {
496
+ "epoch": 1.9967081199707388,
497
+ "eval_loss": 0.6351743936538696,
498
+ "eval_runtime": 344.6425,
499
+ "eval_samples_per_second": 26.72,
500
+ "eval_steps_per_second": 0.418,
501
+ "step": 682
502
+ },
503
+ {
504
+ "epoch": 2.0212143379663496,
505
+ "grad_norm": 0.32018427402743455,
506
+ "learning_rate": 1.4494758032900119e-06,
507
+ "loss": 0.6336,
508
+ "step": 690
509
+ },
510
+ {
511
+ "epoch": 2.050475493782004,
512
+ "grad_norm": 0.31577974435085937,
513
+ "learning_rate": 1.372636819332976e-06,
514
+ "loss": 0.5845,
515
+ "step": 700
516
+ },
517
+ {
518
+ "epoch": 2.0797366495976592,
519
+ "grad_norm": 0.3029171910952351,
520
+ "learning_rate": 1.2971122904149944e-06,
521
+ "loss": 0.5867,
522
+ "step": 710
523
+ },
524
+ {
525
+ "epoch": 2.108997805413314,
526
+ "grad_norm": 0.33511772012389357,
527
+ "learning_rate": 1.2229902747583972e-06,
528
+ "loss": 0.5876,
529
+ "step": 720
530
+ },
531
+ {
532
+ "epoch": 2.1382589612289684,
533
+ "grad_norm": 0.3156015487656,
534
+ "learning_rate": 1.1503571953177884e-06,
535
+ "loss": 0.5893,
536
+ "step": 730
537
+ },
538
+ {
539
+ "epoch": 2.1675201170446234,
540
+ "grad_norm": 0.3371950741889132,
541
+ "learning_rate": 1.0792977390147474e-06,
542
+ "loss": 0.5941,
543
+ "step": 740
544
+ },
545
+ {
546
+ "epoch": 2.196781272860278,
547
+ "grad_norm": 0.32897346750056816,
548
+ "learning_rate": 1.009894757996668e-06,
549
+ "loss": 0.5928,
550
+ "step": 750
551
+ },
552
+ {
553
+ "epoch": 2.2260424286759326,
554
+ "grad_norm": 0.3394392762287294,
555
+ "learning_rate": 9.422291730348565e-07,
556
+ "loss": 0.5899,
557
+ "step": 760
558
+ },
559
+ {
560
+ "epoch": 2.255303584491587,
561
+ "grad_norm": 0.3115602039131131,
562
+ "learning_rate": 8.763798791745413e-07,
563
+ "loss": 0.5882,
564
+ "step": 770
565
+ },
566
+ {
567
+ "epoch": 2.284564740307242,
568
+ "grad_norm": 0.3137752524034506,
569
+ "learning_rate": 8.12423653746767e-07,
570
+ "loss": 0.5875,
571
+ "step": 780
572
+ },
573
+ {
574
+ "epoch": 2.313825896122897,
575
+ "grad_norm": 0.3017797829362983,
576
+ "learning_rate": 7.504350668494725e-07,
577
+ "loss": 0.5855,
578
+ "step": 790
579
+ },
580
+ {
581
+ "epoch": 2.3430870519385514,
582
+ "grad_norm": 0.3114255491758221,
583
+ "learning_rate": 6.904863944020834e-07,
584
+ "loss": 0.5932,
585
+ "step": 800
586
+ },
587
+ {
588
+ "epoch": 2.3723482077542064,
589
+ "grad_norm": 0.3074179184847908,
590
+ "learning_rate": 6.326475338750288e-07,
591
+ "loss": 0.5882,
592
+ "step": 810
593
+ },
594
+ {
595
+ "epoch": 2.401609363569861,
596
+ "grad_norm": 0.31539346295499116,
597
+ "learning_rate": 5.769859227924154e-07,
598
+ "loss": 0.5942,
599
+ "step": 820
600
+ },
601
+ {
602
+ "epoch": 2.4308705193855156,
603
+ "grad_norm": 0.29321748526986546,
604
+ "learning_rate": 5.235664601028911e-07,
605
+ "loss": 0.5866,
606
+ "step": 830
607
+ },
608
+ {
609
+ "epoch": 2.4601316752011706,
610
+ "grad_norm": 0.3034123122737905,
611
+ "learning_rate": 4.7245143051037475e-07,
612
+ "loss": 0.5868,
613
+ "step": 840
614
+ },
615
+ {
616
+ "epoch": 2.489392831016825,
617
+ "grad_norm": 0.31024627211609695,
618
+ "learning_rate": 4.2370043185287397e-07,
619
+ "loss": 0.5886,
620
+ "step": 850
621
+ },
622
+ {
623
+ "epoch": 2.5186539868324798,
624
+ "grad_norm": 0.3154876519991477,
625
+ "learning_rate": 3.773703056140779e-07,
626
+ "loss": 0.5818,
627
+ "step": 860
628
+ },
629
+ {
630
+ "epoch": 2.547915142648135,
631
+ "grad_norm": 0.3074925297268889,
632
+ "learning_rate": 3.335150706487256e-07,
633
+ "loss": 0.5842,
634
+ "step": 870
635
+ },
636
+ {
637
+ "epoch": 2.5771762984637894,
638
+ "grad_norm": 0.2945650517625053,
639
+ "learning_rate": 2.921858601990396e-07,
640
+ "loss": 0.5882,
641
+ "step": 880
642
+ },
643
+ {
644
+ "epoch": 2.606437454279444,
645
+ "grad_norm": 0.2997163431719521,
646
+ "learning_rate": 2.5343086227565037e-07,
647
+ "loss": 0.5877,
648
+ "step": 890
649
+ },
650
+ {
651
+ "epoch": 2.6356986100950985,
652
+ "grad_norm": 0.306350940960521,
653
+ "learning_rate": 2.172952634725345e-07,
654
+ "loss": 0.5922,
655
+ "step": 900
656
+ },
657
+ {
658
+ "epoch": 2.6649597659107536,
659
+ "grad_norm": 0.30476358150124866,
660
+ "learning_rate": 1.838211962814679e-07,
661
+ "loss": 0.5925,
662
+ "step": 910
663
+ },
664
+ {
665
+ "epoch": 2.694220921726408,
666
+ "grad_norm": 0.31398774450844835,
667
+ "learning_rate": 1.530476899674202e-07,
668
+ "loss": 0.5865,
669
+ "step": 920
670
+ },
671
+ {
672
+ "epoch": 2.723482077542063,
673
+ "grad_norm": 0.3168655235083733,
674
+ "learning_rate": 1.2501062506218354e-07,
675
+ "loss": 0.5898,
676
+ "step": 930
677
+ },
678
+ {
679
+ "epoch": 2.7527432333577178,
680
+ "grad_norm": 0.3105039434391971,
681
+ "learning_rate": 9.974269152927235e-08,
682
+ "loss": 0.5888,
683
+ "step": 940
684
+ },
685
+ {
686
+ "epoch": 2.7820043891733723,
687
+ "grad_norm": 0.2957515945421737,
688
+ "learning_rate": 7.727335064889264e-08,
689
+ "loss": 0.5874,
690
+ "step": 950
691
+ },
692
+ {
693
+ "epoch": 2.811265544989027,
694
+ "grad_norm": 0.30706809152212006,
695
+ "learning_rate": 5.762880066740473e-08,
696
+ "loss": 0.5914,
697
+ "step": 960
698
+ },
699
+ {
700
+ "epoch": 2.840526700804682,
701
+ "grad_norm": 0.29567229572647563,
702
+ "learning_rate": 4.083194625134013e-08,
703
+ "loss": 0.587,
704
+ "step": 970
705
+ },
706
+ {
707
+ "epoch": 2.8697878566203365,
708
+ "grad_norm": 0.3006938272467725,
709
+ "learning_rate": 2.690237178158528e-08,
710
+ "loss": 0.5871,
711
+ "step": 980
712
+ },
713
+ {
714
+ "epoch": 2.899049012435991,
715
+ "grad_norm": 0.29892548674551433,
716
+ "learning_rate": 1.5856318518868986e-08,
717
+ "loss": 0.5796,
718
+ "step": 990
719
+ },
720
+ {
721
+ "epoch": 2.928310168251646,
722
+ "grad_norm": 0.30298562726883044,
723
+ "learning_rate": 7.70666566718009e-09,
724
+ "loss": 0.5875,
725
+ "step": 1000
726
+ },
727
+ {
728
+ "epoch": 2.9575713240673007,
729
+ "grad_norm": 0.29958579696478904,
730
+ "learning_rate": 2.462915357190343e-09,
731
+ "loss": 0.5789,
732
+ "step": 1010
733
+ },
734
+ {
735
+ "epoch": 2.9868324798829553,
736
+ "grad_norm": 0.3013888809338584,
737
+ "learning_rate": 1.311815671958816e-10,
738
+ "loss": 0.5908,
739
+ "step": 1020
740
+ },
741
+ {
742
+ "epoch": 2.9956108266276518,
743
+ "eval_loss": 0.6357362270355225,
744
+ "eval_runtime": 343.5975,
745
+ "eval_samples_per_second": 26.802,
746
+ "eval_steps_per_second": 0.419,
747
+ "step": 1023
748
+ },
749
+ {
750
+ "epoch": 2.9956108266276518,
751
+ "step": 1023,
752
+ "total_flos": 2144987064041472.0,
753
+ "train_loss": 0.6275725323899867,
754
+ "train_runtime": 54929.7845,
755
+ "train_samples_per_second": 9.555,
756
+ "train_steps_per_second": 0.019
757
+ }
758
+ ],
759
+ "logging_steps": 10,
760
+ "max_steps": 1023,
761
+ "num_input_tokens_seen": 0,
762
+ "num_train_epochs": 3,
763
+ "save_steps": 500,
764
+ "stateful_callbacks": {
765
+ "TrainerControl": {
766
+ "args": {
767
+ "should_epoch_stop": false,
768
+ "should_evaluate": false,
769
+ "should_log": false,
770
+ "should_save": true,
771
+ "should_training_stop": true
772
+ },
773
+ "attributes": {}
774
+ }
775
+ },
776
+ "total_flos": 2144987064041472.0,
777
+ "train_batch_size": 8,
778
+ "trial_name": null,
779
+ "trial_params": null
780
+ }
training_eval_loss.png ADDED
training_loss.png ADDED