sedrickkeh commited on
Commit
7eeae66
·
verified ·
1 Parent(s): 4252d98

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: oh_v1.3_camel_chemistry_x4
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # oh_v1.3_camel_chemistry_x4
17
 
18
- This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.7374
21
 
 
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: oh_v1.3_camel_chemistry_x4
 
16
 
17
  # oh_v1.3_camel_chemistry_x4
18
 
19
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh_v1.3_camel_chemistry_x4 dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.7374
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9987628865979383,
3
+ "eval_loss": 0.737443208694458,
4
+ "eval_runtime": 323.8922,
5
+ "eval_samples_per_second": 25.218,
6
+ "eval_steps_per_second": 0.395,
7
+ "total_flos": 1522399476449280.0,
8
+ "train_loss": 0.7216839113644641,
9
+ "train_runtime": 53747.0627,
10
+ "train_samples_per_second": 8.662,
11
+ "train_steps_per_second": 0.017
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9987628865979383,
3
+ "eval_loss": 0.737443208694458,
4
+ "eval_runtime": 323.8922,
5
+ "eval_samples_per_second": 25.218,
6
+ "eval_steps_per_second": 0.395
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9987628865979383,
3
+ "total_flos": 1522399476449280.0,
4
+ "train_loss": 0.7216839113644641,
5
+ "train_runtime": 53747.0627,
6
+ "train_samples_per_second": 8.662,
7
+ "train_steps_per_second": 0.017
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,696 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9987628865979383,
5
+ "eval_steps": 500,
6
+ "global_step": 909,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.032989690721649485,
13
+ "grad_norm": 3.190283465974621,
14
+ "learning_rate": 5e-06,
15
+ "loss": 1.0361,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.06597938144329897,
20
+ "grad_norm": 1.2412136578455273,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.9152,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.09896907216494845,
27
+ "grad_norm": 0.9937983329085553,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.8771,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.13195876288659794,
34
+ "grad_norm": 0.9565722646796444,
35
+ "learning_rate": 5e-06,
36
+ "loss": 0.855,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.16494845360824742,
41
+ "grad_norm": 0.8422015410274669,
42
+ "learning_rate": 5e-06,
43
+ "loss": 0.834,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.1979381443298969,
48
+ "grad_norm": 0.9927761059685116,
49
+ "learning_rate": 5e-06,
50
+ "loss": 0.8249,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.2309278350515464,
55
+ "grad_norm": 1.0124625468461579,
56
+ "learning_rate": 5e-06,
57
+ "loss": 0.8092,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.2639175257731959,
62
+ "grad_norm": 0.9162707322543721,
63
+ "learning_rate": 5e-06,
64
+ "loss": 0.8002,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.29690721649484536,
69
+ "grad_norm": 0.7438936667406614,
70
+ "learning_rate": 5e-06,
71
+ "loss": 0.7953,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.32989690721649484,
76
+ "grad_norm": 0.74943987165883,
77
+ "learning_rate": 5e-06,
78
+ "loss": 0.7912,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.3628865979381443,
83
+ "grad_norm": 0.6393536784375358,
84
+ "learning_rate": 5e-06,
85
+ "loss": 0.7835,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.3958762886597938,
90
+ "grad_norm": 0.6732184370236527,
91
+ "learning_rate": 5e-06,
92
+ "loss": 0.7846,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.4288659793814433,
97
+ "grad_norm": 0.675715599863121,
98
+ "learning_rate": 5e-06,
99
+ "loss": 0.7835,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.4618556701030928,
104
+ "grad_norm": 0.638472159519646,
105
+ "learning_rate": 5e-06,
106
+ "loss": 0.7797,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.4948453608247423,
111
+ "grad_norm": 1.1212007213917934,
112
+ "learning_rate": 5e-06,
113
+ "loss": 0.7759,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.5278350515463918,
118
+ "grad_norm": 0.5929058650136099,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.7758,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.5608247422680412,
125
+ "grad_norm": 0.7325664578284696,
126
+ "learning_rate": 5e-06,
127
+ "loss": 0.7746,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.5938144329896907,
132
+ "grad_norm": 0.7146407893100764,
133
+ "learning_rate": 5e-06,
134
+ "loss": 0.772,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.6268041237113402,
139
+ "grad_norm": 0.6297828498939105,
140
+ "learning_rate": 5e-06,
141
+ "loss": 0.7686,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.6597938144329897,
146
+ "grad_norm": 0.650337063259678,
147
+ "learning_rate": 5e-06,
148
+ "loss": 0.7668,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.6927835051546392,
153
+ "grad_norm": 0.577352278155154,
154
+ "learning_rate": 5e-06,
155
+ "loss": 0.7633,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.7257731958762886,
160
+ "grad_norm": 0.6351053699389445,
161
+ "learning_rate": 5e-06,
162
+ "loss": 0.7606,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.7587628865979381,
167
+ "grad_norm": 0.6179445706530043,
168
+ "learning_rate": 5e-06,
169
+ "loss": 0.7644,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.7917525773195876,
174
+ "grad_norm": 0.7772047208925177,
175
+ "learning_rate": 5e-06,
176
+ "loss": 0.7585,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.8247422680412371,
181
+ "grad_norm": 0.6393400921262609,
182
+ "learning_rate": 5e-06,
183
+ "loss": 0.7597,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.8577319587628865,
188
+ "grad_norm": 0.5366628092052804,
189
+ "learning_rate": 5e-06,
190
+ "loss": 0.7559,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.8907216494845361,
195
+ "grad_norm": 0.6897451596502111,
196
+ "learning_rate": 5e-06,
197
+ "loss": 0.757,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.9237113402061856,
202
+ "grad_norm": 0.683076031456689,
203
+ "learning_rate": 5e-06,
204
+ "loss": 0.7595,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.9567010309278351,
209
+ "grad_norm": 0.6342586759859082,
210
+ "learning_rate": 5e-06,
211
+ "loss": 0.7576,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.9896907216494846,
216
+ "grad_norm": 0.6339977397184522,
217
+ "learning_rate": 5e-06,
218
+ "loss": 0.7548,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.9995876288659794,
223
+ "eval_loss": 0.7519278526306152,
224
+ "eval_runtime": 322.6674,
225
+ "eval_samples_per_second": 25.314,
226
+ "eval_steps_per_second": 0.397,
227
+ "step": 303
228
+ },
229
+ {
230
+ "epoch": 1.022680412371134,
231
+ "grad_norm": 0.810990287818241,
232
+ "learning_rate": 5e-06,
233
+ "loss": 0.7934,
234
+ "step": 310
235
+ },
236
+ {
237
+ "epoch": 1.0556701030927835,
238
+ "grad_norm": 0.5989713675220099,
239
+ "learning_rate": 5e-06,
240
+ "loss": 0.7044,
241
+ "step": 320
242
+ },
243
+ {
244
+ "epoch": 1.088659793814433,
245
+ "grad_norm": 0.584782182855064,
246
+ "learning_rate": 5e-06,
247
+ "loss": 0.7115,
248
+ "step": 330
249
+ },
250
+ {
251
+ "epoch": 1.1216494845360825,
252
+ "grad_norm": 0.7858920415247334,
253
+ "learning_rate": 5e-06,
254
+ "loss": 0.7094,
255
+ "step": 340
256
+ },
257
+ {
258
+ "epoch": 1.1546391752577319,
259
+ "grad_norm": 0.9401995798606461,
260
+ "learning_rate": 5e-06,
261
+ "loss": 0.7079,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 1.1876288659793814,
266
+ "grad_norm": 0.6150009311102699,
267
+ "learning_rate": 5e-06,
268
+ "loss": 0.7073,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 1.220618556701031,
273
+ "grad_norm": 0.6009149100944755,
274
+ "learning_rate": 5e-06,
275
+ "loss": 0.7096,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 1.2536082474226804,
280
+ "grad_norm": 0.6115518108906659,
281
+ "learning_rate": 5e-06,
282
+ "loss": 0.7066,
283
+ "step": 380
284
+ },
285
+ {
286
+ "epoch": 1.2865979381443298,
287
+ "grad_norm": 0.7496882281145417,
288
+ "learning_rate": 5e-06,
289
+ "loss": 0.7076,
290
+ "step": 390
291
+ },
292
+ {
293
+ "epoch": 1.3195876288659794,
294
+ "grad_norm": 0.6685224897984725,
295
+ "learning_rate": 5e-06,
296
+ "loss": 0.7062,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 1.352577319587629,
301
+ "grad_norm": 0.641185927057492,
302
+ "learning_rate": 5e-06,
303
+ "loss": 0.7117,
304
+ "step": 410
305
+ },
306
+ {
307
+ "epoch": 1.3855670103092783,
308
+ "grad_norm": 0.5361388827305237,
309
+ "learning_rate": 5e-06,
310
+ "loss": 0.7094,
311
+ "step": 420
312
+ },
313
+ {
314
+ "epoch": 1.418556701030928,
315
+ "grad_norm": 1.002359631516242,
316
+ "learning_rate": 5e-06,
317
+ "loss": 0.7054,
318
+ "step": 430
319
+ },
320
+ {
321
+ "epoch": 1.4515463917525773,
322
+ "grad_norm": 0.8431450479727091,
323
+ "learning_rate": 5e-06,
324
+ "loss": 0.7075,
325
+ "step": 440
326
+ },
327
+ {
328
+ "epoch": 1.4845360824742269,
329
+ "grad_norm": 0.6447323729739957,
330
+ "learning_rate": 5e-06,
331
+ "loss": 0.7099,
332
+ "step": 450
333
+ },
334
+ {
335
+ "epoch": 1.5175257731958762,
336
+ "grad_norm": 0.8431314429320579,
337
+ "learning_rate": 5e-06,
338
+ "loss": 0.7018,
339
+ "step": 460
340
+ },
341
+ {
342
+ "epoch": 1.5505154639175258,
343
+ "grad_norm": 0.6273662519128372,
344
+ "learning_rate": 5e-06,
345
+ "loss": 0.7051,
346
+ "step": 470
347
+ },
348
+ {
349
+ "epoch": 1.5835051546391754,
350
+ "grad_norm": 0.8396735090007554,
351
+ "learning_rate": 5e-06,
352
+ "loss": 0.7106,
353
+ "step": 480
354
+ },
355
+ {
356
+ "epoch": 1.6164948453608248,
357
+ "grad_norm": 0.5802654475284174,
358
+ "learning_rate": 5e-06,
359
+ "loss": 0.7043,
360
+ "step": 490
361
+ },
362
+ {
363
+ "epoch": 1.6494845360824741,
364
+ "grad_norm": 0.6224806599884348,
365
+ "learning_rate": 5e-06,
366
+ "loss": 0.7086,
367
+ "step": 500
368
+ },
369
+ {
370
+ "epoch": 1.6824742268041237,
371
+ "grad_norm": 0.6154446076130442,
372
+ "learning_rate": 5e-06,
373
+ "loss": 0.7026,
374
+ "step": 510
375
+ },
376
+ {
377
+ "epoch": 1.7154639175257733,
378
+ "grad_norm": 0.5857753449684375,
379
+ "learning_rate": 5e-06,
380
+ "loss": 0.7037,
381
+ "step": 520
382
+ },
383
+ {
384
+ "epoch": 1.7484536082474227,
385
+ "grad_norm": 0.5716099691987403,
386
+ "learning_rate": 5e-06,
387
+ "loss": 0.7066,
388
+ "step": 530
389
+ },
390
+ {
391
+ "epoch": 1.781443298969072,
392
+ "grad_norm": 0.6774790897099987,
393
+ "learning_rate": 5e-06,
394
+ "loss": 0.707,
395
+ "step": 540
396
+ },
397
+ {
398
+ "epoch": 1.8144329896907216,
399
+ "grad_norm": 0.6117062221128381,
400
+ "learning_rate": 5e-06,
401
+ "loss": 0.6996,
402
+ "step": 550
403
+ },
404
+ {
405
+ "epoch": 1.8474226804123712,
406
+ "grad_norm": 0.5362825787566358,
407
+ "learning_rate": 5e-06,
408
+ "loss": 0.7036,
409
+ "step": 560
410
+ },
411
+ {
412
+ "epoch": 1.8804123711340206,
413
+ "grad_norm": 0.7851595485494056,
414
+ "learning_rate": 5e-06,
415
+ "loss": 0.7066,
416
+ "step": 570
417
+ },
418
+ {
419
+ "epoch": 1.91340206185567,
420
+ "grad_norm": 0.642752104749906,
421
+ "learning_rate": 5e-06,
422
+ "loss": 0.705,
423
+ "step": 580
424
+ },
425
+ {
426
+ "epoch": 1.9463917525773196,
427
+ "grad_norm": 0.6663997639727156,
428
+ "learning_rate": 5e-06,
429
+ "loss": 0.7051,
430
+ "step": 590
431
+ },
432
+ {
433
+ "epoch": 1.9793814432989691,
434
+ "grad_norm": 0.6435653630361237,
435
+ "learning_rate": 5e-06,
436
+ "loss": 0.7026,
437
+ "step": 600
438
+ },
439
+ {
440
+ "epoch": 1.9991752577319588,
441
+ "eval_loss": 0.7376570701599121,
442
+ "eval_runtime": 321.676,
443
+ "eval_samples_per_second": 25.392,
444
+ "eval_steps_per_second": 0.398,
445
+ "step": 606
446
+ },
447
+ {
448
+ "epoch": 2.0123711340206185,
449
+ "grad_norm": 0.7966992322635892,
450
+ "learning_rate": 5e-06,
451
+ "loss": 0.7418,
452
+ "step": 610
453
+ },
454
+ {
455
+ "epoch": 2.045360824742268,
456
+ "grad_norm": 0.5919842716689093,
457
+ "learning_rate": 5e-06,
458
+ "loss": 0.6581,
459
+ "step": 620
460
+ },
461
+ {
462
+ "epoch": 2.0783505154639177,
463
+ "grad_norm": 0.6225831303900108,
464
+ "learning_rate": 5e-06,
465
+ "loss": 0.6494,
466
+ "step": 630
467
+ },
468
+ {
469
+ "epoch": 2.111340206185567,
470
+ "grad_norm": 0.5720666970317613,
471
+ "learning_rate": 5e-06,
472
+ "loss": 0.6557,
473
+ "step": 640
474
+ },
475
+ {
476
+ "epoch": 2.1443298969072164,
477
+ "grad_norm": 0.625621284764116,
478
+ "learning_rate": 5e-06,
479
+ "loss": 0.6562,
480
+ "step": 650
481
+ },
482
+ {
483
+ "epoch": 2.177319587628866,
484
+ "grad_norm": 0.722621026378947,
485
+ "learning_rate": 5e-06,
486
+ "loss": 0.6592,
487
+ "step": 660
488
+ },
489
+ {
490
+ "epoch": 2.2103092783505156,
491
+ "grad_norm": 0.6611874958125228,
492
+ "learning_rate": 5e-06,
493
+ "loss": 0.6576,
494
+ "step": 670
495
+ },
496
+ {
497
+ "epoch": 2.243298969072165,
498
+ "grad_norm": 0.624720046082098,
499
+ "learning_rate": 5e-06,
500
+ "loss": 0.6534,
501
+ "step": 680
502
+ },
503
+ {
504
+ "epoch": 2.2762886597938143,
505
+ "grad_norm": 0.6227890769590231,
506
+ "learning_rate": 5e-06,
507
+ "loss": 0.6561,
508
+ "step": 690
509
+ },
510
+ {
511
+ "epoch": 2.3092783505154637,
512
+ "grad_norm": 0.6353543358518403,
513
+ "learning_rate": 5e-06,
514
+ "loss": 0.6564,
515
+ "step": 700
516
+ },
517
+ {
518
+ "epoch": 2.3422680412371135,
519
+ "grad_norm": 0.616682251013517,
520
+ "learning_rate": 5e-06,
521
+ "loss": 0.6558,
522
+ "step": 710
523
+ },
524
+ {
525
+ "epoch": 2.375257731958763,
526
+ "grad_norm": 0.5785627398529801,
527
+ "learning_rate": 5e-06,
528
+ "loss": 0.6579,
529
+ "step": 720
530
+ },
531
+ {
532
+ "epoch": 2.4082474226804123,
533
+ "grad_norm": 0.7087632640527876,
534
+ "learning_rate": 5e-06,
535
+ "loss": 0.6578,
536
+ "step": 730
537
+ },
538
+ {
539
+ "epoch": 2.441237113402062,
540
+ "grad_norm": 0.7221097669514308,
541
+ "learning_rate": 5e-06,
542
+ "loss": 0.6555,
543
+ "step": 740
544
+ },
545
+ {
546
+ "epoch": 2.4742268041237114,
547
+ "grad_norm": 0.6845092133296887,
548
+ "learning_rate": 5e-06,
549
+ "loss": 0.6589,
550
+ "step": 750
551
+ },
552
+ {
553
+ "epoch": 2.507216494845361,
554
+ "grad_norm": 0.6131735355128494,
555
+ "learning_rate": 5e-06,
556
+ "loss": 0.6597,
557
+ "step": 760
558
+ },
559
+ {
560
+ "epoch": 2.54020618556701,
561
+ "grad_norm": 0.74499117668607,
562
+ "learning_rate": 5e-06,
563
+ "loss": 0.6604,
564
+ "step": 770
565
+ },
566
+ {
567
+ "epoch": 2.5731958762886595,
568
+ "grad_norm": 0.6953072761863929,
569
+ "learning_rate": 5e-06,
570
+ "loss": 0.6599,
571
+ "step": 780
572
+ },
573
+ {
574
+ "epoch": 2.6061855670103093,
575
+ "grad_norm": 0.7683634702318719,
576
+ "learning_rate": 5e-06,
577
+ "loss": 0.6584,
578
+ "step": 790
579
+ },
580
+ {
581
+ "epoch": 2.6391752577319587,
582
+ "grad_norm": 0.9202931242949187,
583
+ "learning_rate": 5e-06,
584
+ "loss": 0.6599,
585
+ "step": 800
586
+ },
587
+ {
588
+ "epoch": 2.6721649484536085,
589
+ "grad_norm": 0.6785534766587453,
590
+ "learning_rate": 5e-06,
591
+ "loss": 0.6605,
592
+ "step": 810
593
+ },
594
+ {
595
+ "epoch": 2.705154639175258,
596
+ "grad_norm": 0.9373759072613878,
597
+ "learning_rate": 5e-06,
598
+ "loss": 0.6633,
599
+ "step": 820
600
+ },
601
+ {
602
+ "epoch": 2.7381443298969073,
603
+ "grad_norm": 0.5316447851690145,
604
+ "learning_rate": 5e-06,
605
+ "loss": 0.6582,
606
+ "step": 830
607
+ },
608
+ {
609
+ "epoch": 2.7711340206185566,
610
+ "grad_norm": 0.7810499110998566,
611
+ "learning_rate": 5e-06,
612
+ "loss": 0.6638,
613
+ "step": 840
614
+ },
615
+ {
616
+ "epoch": 2.804123711340206,
617
+ "grad_norm": 0.5581690358208933,
618
+ "learning_rate": 5e-06,
619
+ "loss": 0.6572,
620
+ "step": 850
621
+ },
622
+ {
623
+ "epoch": 2.837113402061856,
624
+ "grad_norm": 0.5757480690524878,
625
+ "learning_rate": 5e-06,
626
+ "loss": 0.6629,
627
+ "step": 860
628
+ },
629
+ {
630
+ "epoch": 2.870103092783505,
631
+ "grad_norm": 0.6570394054126519,
632
+ "learning_rate": 5e-06,
633
+ "loss": 0.6603,
634
+ "step": 870
635
+ },
636
+ {
637
+ "epoch": 2.9030927835051545,
638
+ "grad_norm": 0.5532161107989387,
639
+ "learning_rate": 5e-06,
640
+ "loss": 0.6596,
641
+ "step": 880
642
+ },
643
+ {
644
+ "epoch": 2.9360824742268044,
645
+ "grad_norm": 0.6779485831959426,
646
+ "learning_rate": 5e-06,
647
+ "loss": 0.6615,
648
+ "step": 890
649
+ },
650
+ {
651
+ "epoch": 2.9690721649484537,
652
+ "grad_norm": 0.6105580266011457,
653
+ "learning_rate": 5e-06,
654
+ "loss": 0.6573,
655
+ "step": 900
656
+ },
657
+ {
658
+ "epoch": 2.9987628865979383,
659
+ "eval_loss": 0.737443208694458,
660
+ "eval_runtime": 321.3627,
661
+ "eval_samples_per_second": 25.417,
662
+ "eval_steps_per_second": 0.398,
663
+ "step": 909
664
+ },
665
+ {
666
+ "epoch": 2.9987628865979383,
667
+ "step": 909,
668
+ "total_flos": 1522399476449280.0,
669
+ "train_loss": 0.7216839113644641,
670
+ "train_runtime": 53747.0627,
671
+ "train_samples_per_second": 8.662,
672
+ "train_steps_per_second": 0.017
673
+ }
674
+ ],
675
+ "logging_steps": 10,
676
+ "max_steps": 909,
677
+ "num_input_tokens_seen": 0,
678
+ "num_train_epochs": 3,
679
+ "save_steps": 500,
680
+ "stateful_callbacks": {
681
+ "TrainerControl": {
682
+ "args": {
683
+ "should_epoch_stop": false,
684
+ "should_evaluate": false,
685
+ "should_log": false,
686
+ "should_save": true,
687
+ "should_training_stop": true
688
+ },
689
+ "attributes": {}
690
+ }
691
+ },
692
+ "total_flos": 1522399476449280.0,
693
+ "train_batch_size": 8,
694
+ "trial_name": null,
695
+ "trial_params": null
696
+ }
training_eval_loss.png ADDED
training_loss.png ADDED