sedrickkeh commited on
Commit
bf6e8d1
1 Parent(s): 5805470

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: gemma
4
  base_model: google/gemma-2-9b
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: hp_ablations_gemma_adambeta2_0.995_dcftv1.2
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # hp_ablations_gemma_adambeta2_0.995_dcftv1.2
17
 
18
- This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.6349
21
 
 
4
  base_model: google/gemma-2-9b
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: hp_ablations_gemma_adambeta2_0.995_dcftv1.2
 
16
 
17
  # hp_ablations_gemma_adambeta2_0.995_dcftv1.2
18
 
19
+ This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) 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: 0.6349
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.999438727782975,
3
+ "eval_loss": 0.6349337697029114,
4
+ "eval_runtime": 514.8713,
5
+ "eval_samples_per_second": 17.482,
6
+ "eval_steps_per_second": 0.548,
7
+ "total_flos": 3818092983484416.0,
8
+ "train_loss": 0.5625353066507214,
9
+ "train_runtime": 90507.5636,
10
+ "train_samples_per_second": 5.668,
11
+ "train_steps_per_second": 0.011
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.999438727782975,
3
+ "eval_loss": 0.6349337697029114,
4
+ "eval_runtime": 514.8713,
5
+ "eval_samples_per_second": 17.482,
6
+ "eval_steps_per_second": 0.548
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.999438727782975,
3
+ "total_flos": 3818092983484416.0,
4
+ "train_loss": 0.5625353066507214,
5
+ "train_runtime": 90507.5636,
6
+ "train_samples_per_second": 5.668,
7
+ "train_steps_per_second": 0.011
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,766 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.999438727782975,
5
+ "eval_steps": 500,
6
+ "global_step": 1002,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.029934518241347054,
13
+ "grad_norm": 1.33524144451092,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.7726,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.05986903648269411,
20
+ "grad_norm": 0.7879332647993313,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.6941,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.08980355472404115,
27
+ "grad_norm": 0.8279414479936676,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.669,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.11973807296538821,
34
+ "grad_norm": 0.6801830999347731,
35
+ "learning_rate": 5e-06,
36
+ "loss": 0.6651,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.14967259120673526,
41
+ "grad_norm": 0.825336157832171,
42
+ "learning_rate": 5e-06,
43
+ "loss": 0.6563,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.1796071094480823,
48
+ "grad_norm": 0.8041213132253388,
49
+ "learning_rate": 5e-06,
50
+ "loss": 0.6486,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.20954162768942938,
55
+ "grad_norm": 0.7685208697099756,
56
+ "learning_rate": 5e-06,
57
+ "loss": 0.6456,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.23947614593077643,
62
+ "grad_norm": 0.8272207752381818,
63
+ "learning_rate": 5e-06,
64
+ "loss": 0.647,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.2694106641721235,
69
+ "grad_norm": 0.9517995329423086,
70
+ "learning_rate": 5e-06,
71
+ "loss": 0.638,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.2993451824134705,
76
+ "grad_norm": 0.8751066383364019,
77
+ "learning_rate": 5e-06,
78
+ "loss": 0.6394,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.3292797006548176,
83
+ "grad_norm": 0.8030803646782766,
84
+ "learning_rate": 5e-06,
85
+ "loss": 0.635,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.3592142188961646,
90
+ "grad_norm": 0.8567743177602571,
91
+ "learning_rate": 5e-06,
92
+ "loss": 0.6341,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.3891487371375117,
97
+ "grad_norm": 0.7057301347531115,
98
+ "learning_rate": 5e-06,
99
+ "loss": 0.6341,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.41908325537885877,
104
+ "grad_norm": 0.7257500307005497,
105
+ "learning_rate": 5e-06,
106
+ "loss": 0.6279,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.4490177736202058,
111
+ "grad_norm": 0.6593297594688626,
112
+ "learning_rate": 5e-06,
113
+ "loss": 0.6296,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.47895229186155286,
118
+ "grad_norm": 0.6452429439980394,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.6287,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.5088868101028999,
125
+ "grad_norm": 0.6606811551730326,
126
+ "learning_rate": 5e-06,
127
+ "loss": 0.6229,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.538821328344247,
132
+ "grad_norm": 0.6711513998175146,
133
+ "learning_rate": 5e-06,
134
+ "loss": 0.6242,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.568755846585594,
139
+ "grad_norm": 0.7104593525315798,
140
+ "learning_rate": 5e-06,
141
+ "loss": 0.6221,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.598690364826941,
146
+ "grad_norm": 0.7379619895502215,
147
+ "learning_rate": 5e-06,
148
+ "loss": 0.6299,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.6286248830682881,
153
+ "grad_norm": 0.7648666735753528,
154
+ "learning_rate": 5e-06,
155
+ "loss": 0.6239,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.6585594013096352,
160
+ "grad_norm": 0.9404311490485926,
161
+ "learning_rate": 5e-06,
162
+ "loss": 0.622,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.6884939195509823,
167
+ "grad_norm": 0.7620760335678477,
168
+ "learning_rate": 5e-06,
169
+ "loss": 0.6245,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.7184284377923292,
174
+ "grad_norm": 0.6801471879586377,
175
+ "learning_rate": 5e-06,
176
+ "loss": 0.6234,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.7483629560336763,
181
+ "grad_norm": 0.6188538344723454,
182
+ "learning_rate": 5e-06,
183
+ "loss": 0.62,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.7782974742750234,
188
+ "grad_norm": 0.6763082935968893,
189
+ "learning_rate": 5e-06,
190
+ "loss": 0.6188,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.8082319925163705,
195
+ "grad_norm": 0.7713471285203956,
196
+ "learning_rate": 5e-06,
197
+ "loss": 0.6262,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.8381665107577175,
202
+ "grad_norm": 0.6607536842874296,
203
+ "learning_rate": 5e-06,
204
+ "loss": 0.6163,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.8681010289990645,
209
+ "grad_norm": 0.7717078426208482,
210
+ "learning_rate": 5e-06,
211
+ "loss": 0.6131,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.8980355472404116,
216
+ "grad_norm": 0.7870617184265295,
217
+ "learning_rate": 5e-06,
218
+ "loss": 0.6144,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.9279700654817586,
223
+ "grad_norm": 0.7331877573172668,
224
+ "learning_rate": 5e-06,
225
+ "loss": 0.6132,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.9579045837231057,
230
+ "grad_norm": 0.6228025141259461,
231
+ "learning_rate": 5e-06,
232
+ "loss": 0.6153,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.9878391019644528,
237
+ "grad_norm": 0.8794877763061338,
238
+ "learning_rate": 5e-06,
239
+ "loss": 0.6082,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.9998129092609915,
244
+ "eval_loss": 0.6191971302032471,
245
+ "eval_runtime": 513.8197,
246
+ "eval_samples_per_second": 17.518,
247
+ "eval_steps_per_second": 0.549,
248
+ "step": 334
249
+ },
250
+ {
251
+ "epoch": 1.0177736202057999,
252
+ "grad_norm": 1.051149899458133,
253
+ "learning_rate": 5e-06,
254
+ "loss": 0.6383,
255
+ "step": 340
256
+ },
257
+ {
258
+ "epoch": 1.047708138447147,
259
+ "grad_norm": 0.8863718972848443,
260
+ "learning_rate": 5e-06,
261
+ "loss": 0.5521,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 1.077642656688494,
266
+ "grad_norm": 0.7696809696204965,
267
+ "learning_rate": 5e-06,
268
+ "loss": 0.5476,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 1.1075771749298409,
273
+ "grad_norm": 0.7321339489037564,
274
+ "learning_rate": 5e-06,
275
+ "loss": 0.5479,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 1.137511693171188,
280
+ "grad_norm": 0.855411890940372,
281
+ "learning_rate": 5e-06,
282
+ "loss": 0.5482,
283
+ "step": 380
284
+ },
285
+ {
286
+ "epoch": 1.167446211412535,
287
+ "grad_norm": 0.6867381703861567,
288
+ "learning_rate": 5e-06,
289
+ "loss": 0.5497,
290
+ "step": 390
291
+ },
292
+ {
293
+ "epoch": 1.197380729653882,
294
+ "grad_norm": 0.706701550293977,
295
+ "learning_rate": 5e-06,
296
+ "loss": 0.5498,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 1.2273152478952292,
301
+ "grad_norm": 0.657606609450406,
302
+ "learning_rate": 5e-06,
303
+ "loss": 0.5522,
304
+ "step": 410
305
+ },
306
+ {
307
+ "epoch": 1.2572497661365762,
308
+ "grad_norm": 0.734454355764663,
309
+ "learning_rate": 5e-06,
310
+ "loss": 0.5565,
311
+ "step": 420
312
+ },
313
+ {
314
+ "epoch": 1.2871842843779233,
315
+ "grad_norm": 0.6920219090733138,
316
+ "learning_rate": 5e-06,
317
+ "loss": 0.5512,
318
+ "step": 430
319
+ },
320
+ {
321
+ "epoch": 1.3171188026192704,
322
+ "grad_norm": 0.7050222180373579,
323
+ "learning_rate": 5e-06,
324
+ "loss": 0.5532,
325
+ "step": 440
326
+ },
327
+ {
328
+ "epoch": 1.3470533208606175,
329
+ "grad_norm": 0.6418787070653531,
330
+ "learning_rate": 5e-06,
331
+ "loss": 0.5472,
332
+ "step": 450
333
+ },
334
+ {
335
+ "epoch": 1.3769878391019645,
336
+ "grad_norm": 0.7020770314834763,
337
+ "learning_rate": 5e-06,
338
+ "loss": 0.5579,
339
+ "step": 460
340
+ },
341
+ {
342
+ "epoch": 1.4069223573433116,
343
+ "grad_norm": 0.7565925680769534,
344
+ "learning_rate": 5e-06,
345
+ "loss": 0.5572,
346
+ "step": 470
347
+ },
348
+ {
349
+ "epoch": 1.4368568755846587,
350
+ "grad_norm": 0.7716194723504068,
351
+ "learning_rate": 5e-06,
352
+ "loss": 0.5592,
353
+ "step": 480
354
+ },
355
+ {
356
+ "epoch": 1.4667913938260055,
357
+ "grad_norm": 0.6242085523944472,
358
+ "learning_rate": 5e-06,
359
+ "loss": 0.5585,
360
+ "step": 490
361
+ },
362
+ {
363
+ "epoch": 1.4967259120673526,
364
+ "grad_norm": 0.7940557302941157,
365
+ "learning_rate": 5e-06,
366
+ "loss": 0.5548,
367
+ "step": 500
368
+ },
369
+ {
370
+ "epoch": 1.5266604303086997,
371
+ "grad_norm": 0.6525047117975198,
372
+ "learning_rate": 5e-06,
373
+ "loss": 0.5576,
374
+ "step": 510
375
+ },
376
+ {
377
+ "epoch": 1.5565949485500468,
378
+ "grad_norm": 0.6628111195235525,
379
+ "learning_rate": 5e-06,
380
+ "loss": 0.5555,
381
+ "step": 520
382
+ },
383
+ {
384
+ "epoch": 1.5865294667913938,
385
+ "grad_norm": 0.689008481637834,
386
+ "learning_rate": 5e-06,
387
+ "loss": 0.556,
388
+ "step": 530
389
+ },
390
+ {
391
+ "epoch": 1.616463985032741,
392
+ "grad_norm": 0.673209395932296,
393
+ "learning_rate": 5e-06,
394
+ "loss": 0.5597,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 1.646398503274088,
399
+ "grad_norm": 0.6562180289450842,
400
+ "learning_rate": 5e-06,
401
+ "loss": 0.559,
402
+ "step": 550
403
+ },
404
+ {
405
+ "epoch": 1.6763330215154348,
406
+ "grad_norm": 0.6536265227596837,
407
+ "learning_rate": 5e-06,
408
+ "loss": 0.5497,
409
+ "step": 560
410
+ },
411
+ {
412
+ "epoch": 1.706267539756782,
413
+ "grad_norm": 0.8061423665741692,
414
+ "learning_rate": 5e-06,
415
+ "loss": 0.5515,
416
+ "step": 570
417
+ },
418
+ {
419
+ "epoch": 1.736202057998129,
420
+ "grad_norm": 0.7527856563515462,
421
+ "learning_rate": 5e-06,
422
+ "loss": 0.5528,
423
+ "step": 580
424
+ },
425
+ {
426
+ "epoch": 1.766136576239476,
427
+ "grad_norm": 0.6524204661014693,
428
+ "learning_rate": 5e-06,
429
+ "loss": 0.5557,
430
+ "step": 590
431
+ },
432
+ {
433
+ "epoch": 1.7960710944808231,
434
+ "grad_norm": 0.7636496430663919,
435
+ "learning_rate": 5e-06,
436
+ "loss": 0.5563,
437
+ "step": 600
438
+ },
439
+ {
440
+ "epoch": 1.8260056127221702,
441
+ "grad_norm": 0.6139102967035015,
442
+ "learning_rate": 5e-06,
443
+ "loss": 0.5542,
444
+ "step": 610
445
+ },
446
+ {
447
+ "epoch": 1.8559401309635173,
448
+ "grad_norm": 0.6601750107356386,
449
+ "learning_rate": 5e-06,
450
+ "loss": 0.5522,
451
+ "step": 620
452
+ },
453
+ {
454
+ "epoch": 1.8858746492048644,
455
+ "grad_norm": 0.6527473717177242,
456
+ "learning_rate": 5e-06,
457
+ "loss": 0.5541,
458
+ "step": 630
459
+ },
460
+ {
461
+ "epoch": 1.9158091674462114,
462
+ "grad_norm": 0.7081463978731246,
463
+ "learning_rate": 5e-06,
464
+ "loss": 0.5555,
465
+ "step": 640
466
+ },
467
+ {
468
+ "epoch": 1.9457436856875585,
469
+ "grad_norm": 0.6575694714276955,
470
+ "learning_rate": 5e-06,
471
+ "loss": 0.5538,
472
+ "step": 650
473
+ },
474
+ {
475
+ "epoch": 1.9756782039289056,
476
+ "grad_norm": 0.742675067686587,
477
+ "learning_rate": 5e-06,
478
+ "loss": 0.5586,
479
+ "step": 660
480
+ },
481
+ {
482
+ "epoch": 1.999625818521983,
483
+ "eval_loss": 0.6157492399215698,
484
+ "eval_runtime": 513.972,
485
+ "eval_samples_per_second": 17.513,
486
+ "eval_steps_per_second": 0.549,
487
+ "step": 668
488
+ },
489
+ {
490
+ "epoch": 2.0056127221702527,
491
+ "grad_norm": 1.0969823662871345,
492
+ "learning_rate": 5e-06,
493
+ "loss": 0.6006,
494
+ "step": 670
495
+ },
496
+ {
497
+ "epoch": 2.0355472404115997,
498
+ "grad_norm": 0.8811643475045893,
499
+ "learning_rate": 5e-06,
500
+ "loss": 0.4848,
501
+ "step": 680
502
+ },
503
+ {
504
+ "epoch": 2.065481758652947,
505
+ "grad_norm": 0.6969691205957229,
506
+ "learning_rate": 5e-06,
507
+ "loss": 0.4807,
508
+ "step": 690
509
+ },
510
+ {
511
+ "epoch": 2.095416276894294,
512
+ "grad_norm": 0.7414702187007401,
513
+ "learning_rate": 5e-06,
514
+ "loss": 0.4851,
515
+ "step": 700
516
+ },
517
+ {
518
+ "epoch": 2.125350795135641,
519
+ "grad_norm": 0.7009292878212435,
520
+ "learning_rate": 5e-06,
521
+ "loss": 0.4854,
522
+ "step": 710
523
+ },
524
+ {
525
+ "epoch": 2.155285313376988,
526
+ "grad_norm": 0.7842781168002291,
527
+ "learning_rate": 5e-06,
528
+ "loss": 0.4889,
529
+ "step": 720
530
+ },
531
+ {
532
+ "epoch": 2.185219831618335,
533
+ "grad_norm": 0.7461009782048098,
534
+ "learning_rate": 5e-06,
535
+ "loss": 0.4889,
536
+ "step": 730
537
+ },
538
+ {
539
+ "epoch": 2.2151543498596817,
540
+ "grad_norm": 0.8026481173007173,
541
+ "learning_rate": 5e-06,
542
+ "loss": 0.4897,
543
+ "step": 740
544
+ },
545
+ {
546
+ "epoch": 2.245088868101029,
547
+ "grad_norm": 0.7282963208145856,
548
+ "learning_rate": 5e-06,
549
+ "loss": 0.492,
550
+ "step": 750
551
+ },
552
+ {
553
+ "epoch": 2.275023386342376,
554
+ "grad_norm": 0.6937815645596959,
555
+ "learning_rate": 5e-06,
556
+ "loss": 0.4876,
557
+ "step": 760
558
+ },
559
+ {
560
+ "epoch": 2.304957904583723,
561
+ "grad_norm": 0.7336679828664284,
562
+ "learning_rate": 5e-06,
563
+ "loss": 0.4927,
564
+ "step": 770
565
+ },
566
+ {
567
+ "epoch": 2.33489242282507,
568
+ "grad_norm": 0.6876179706146903,
569
+ "learning_rate": 5e-06,
570
+ "loss": 0.4885,
571
+ "step": 780
572
+ },
573
+ {
574
+ "epoch": 2.364826941066417,
575
+ "grad_norm": 0.6652815658554195,
576
+ "learning_rate": 5e-06,
577
+ "loss": 0.4902,
578
+ "step": 790
579
+ },
580
+ {
581
+ "epoch": 2.394761459307764,
582
+ "grad_norm": 0.7377189200046532,
583
+ "learning_rate": 5e-06,
584
+ "loss": 0.493,
585
+ "step": 800
586
+ },
587
+ {
588
+ "epoch": 2.4246959775491113,
589
+ "grad_norm": 0.7876150878263464,
590
+ "learning_rate": 5e-06,
591
+ "loss": 0.4997,
592
+ "step": 810
593
+ },
594
+ {
595
+ "epoch": 2.4546304957904583,
596
+ "grad_norm": 0.7434727155031786,
597
+ "learning_rate": 5e-06,
598
+ "loss": 0.4969,
599
+ "step": 820
600
+ },
601
+ {
602
+ "epoch": 2.4845650140318054,
603
+ "grad_norm": 0.8780260045950764,
604
+ "learning_rate": 5e-06,
605
+ "loss": 0.4966,
606
+ "step": 830
607
+ },
608
+ {
609
+ "epoch": 2.5144995322731525,
610
+ "grad_norm": 0.675071719958174,
611
+ "learning_rate": 5e-06,
612
+ "loss": 0.4938,
613
+ "step": 840
614
+ },
615
+ {
616
+ "epoch": 2.5444340505144996,
617
+ "grad_norm": 0.7396853414765119,
618
+ "learning_rate": 5e-06,
619
+ "loss": 0.4974,
620
+ "step": 850
621
+ },
622
+ {
623
+ "epoch": 2.5743685687558466,
624
+ "grad_norm": 0.7508686496100224,
625
+ "learning_rate": 5e-06,
626
+ "loss": 0.4955,
627
+ "step": 860
628
+ },
629
+ {
630
+ "epoch": 2.6043030869971937,
631
+ "grad_norm": 0.6736369182740793,
632
+ "learning_rate": 5e-06,
633
+ "loss": 0.4933,
634
+ "step": 870
635
+ },
636
+ {
637
+ "epoch": 2.634237605238541,
638
+ "grad_norm": 1.0093672073573243,
639
+ "learning_rate": 5e-06,
640
+ "loss": 0.4914,
641
+ "step": 880
642
+ },
643
+ {
644
+ "epoch": 2.664172123479888,
645
+ "grad_norm": 0.7192705570737601,
646
+ "learning_rate": 5e-06,
647
+ "loss": 0.4975,
648
+ "step": 890
649
+ },
650
+ {
651
+ "epoch": 2.694106641721235,
652
+ "grad_norm": 0.6676469165153502,
653
+ "learning_rate": 5e-06,
654
+ "loss": 0.5002,
655
+ "step": 900
656
+ },
657
+ {
658
+ "epoch": 2.724041159962582,
659
+ "grad_norm": 0.7021525478180678,
660
+ "learning_rate": 5e-06,
661
+ "loss": 0.4938,
662
+ "step": 910
663
+ },
664
+ {
665
+ "epoch": 2.753975678203929,
666
+ "grad_norm": 0.6608364791732315,
667
+ "learning_rate": 5e-06,
668
+ "loss": 0.495,
669
+ "step": 920
670
+ },
671
+ {
672
+ "epoch": 2.7839101964452757,
673
+ "grad_norm": 0.6911790879608518,
674
+ "learning_rate": 5e-06,
675
+ "loss": 0.5007,
676
+ "step": 930
677
+ },
678
+ {
679
+ "epoch": 2.8138447146866232,
680
+ "grad_norm": 0.6768871726531243,
681
+ "learning_rate": 5e-06,
682
+ "loss": 0.4986,
683
+ "step": 940
684
+ },
685
+ {
686
+ "epoch": 2.84377923292797,
687
+ "grad_norm": 0.7274416613317195,
688
+ "learning_rate": 5e-06,
689
+ "loss": 0.4981,
690
+ "step": 950
691
+ },
692
+ {
693
+ "epoch": 2.8737137511693174,
694
+ "grad_norm": 0.875210919144357,
695
+ "learning_rate": 5e-06,
696
+ "loss": 0.5002,
697
+ "step": 960
698
+ },
699
+ {
700
+ "epoch": 2.903648269410664,
701
+ "grad_norm": 0.7725107537562403,
702
+ "learning_rate": 5e-06,
703
+ "loss": 0.4956,
704
+ "step": 970
705
+ },
706
+ {
707
+ "epoch": 2.933582787652011,
708
+ "grad_norm": 0.9023853617091222,
709
+ "learning_rate": 5e-06,
710
+ "loss": 0.5013,
711
+ "step": 980
712
+ },
713
+ {
714
+ "epoch": 2.963517305893358,
715
+ "grad_norm": 0.7151716284570461,
716
+ "learning_rate": 5e-06,
717
+ "loss": 0.5029,
718
+ "step": 990
719
+ },
720
+ {
721
+ "epoch": 2.9934518241347052,
722
+ "grad_norm": 0.7126618209321779,
723
+ "learning_rate": 5e-06,
724
+ "loss": 0.5039,
725
+ "step": 1000
726
+ },
727
+ {
728
+ "epoch": 2.999438727782975,
729
+ "eval_loss": 0.6349337697029114,
730
+ "eval_runtime": 512.9128,
731
+ "eval_samples_per_second": 17.549,
732
+ "eval_steps_per_second": 0.55,
733
+ "step": 1002
734
+ },
735
+ {
736
+ "epoch": 2.999438727782975,
737
+ "step": 1002,
738
+ "total_flos": 3818092983484416.0,
739
+ "train_loss": 0.5625353066507214,
740
+ "train_runtime": 90507.5636,
741
+ "train_samples_per_second": 5.668,
742
+ "train_steps_per_second": 0.011
743
+ }
744
+ ],
745
+ "logging_steps": 10,
746
+ "max_steps": 1002,
747
+ "num_input_tokens_seen": 0,
748
+ "num_train_epochs": 3,
749
+ "save_steps": 500,
750
+ "stateful_callbacks": {
751
+ "TrainerControl": {
752
+ "args": {
753
+ "should_epoch_stop": false,
754
+ "should_evaluate": false,
755
+ "should_log": false,
756
+ "should_save": true,
757
+ "should_training_stop": true
758
+ },
759
+ "attributes": {}
760
+ }
761
+ },
762
+ "total_flos": 3818092983484416.0,
763
+ "train_batch_size": 4,
764
+ "trial_name": null,
765
+ "trial_params": null
766
+ }
training_eval_loss.png ADDED
training_loss.png ADDED