gsmyrnis commited on
Commit
c2a9185
·
verified ·
1 Parent(s): 738205d

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_slim_orca_x.5
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # oh_v1.3_slim_orca_x.5
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: 0.7266
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_slim_orca_x.5
 
16
 
17
  # oh_v1.3_slim_orca_x.5
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_slim_orca_x.5 dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.7266
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.7265511751174927,
4
+ "eval_runtime": 17.9847,
5
+ "eval_samples_per_second": 276.957,
6
+ "eval_steps_per_second": 1.112,
7
+ "total_flos": 929645671219200.0,
8
+ "train_loss": 0.7063687272973963,
9
+ "train_runtime": 3714.3031,
10
+ "train_samples_per_second": 76.432,
11
+ "train_steps_per_second": 0.149
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.7265511751174927,
4
+ "eval_runtime": 17.9847,
5
+ "eval_samples_per_second": 276.957,
6
+ "eval_steps_per_second": 1.112
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 929645671219200.0,
4
+ "train_loss": 0.7063687272973963,
5
+ "train_runtime": 3714.3031,
6
+ "train_samples_per_second": 76.432,
7
+ "train_steps_per_second": 0.149
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,451 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 555,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05405405405405406,
13
+ "grad_norm": 5.227336981751054,
14
+ "learning_rate": 5e-06,
15
+ "loss": 1.0037,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.10810810810810811,
20
+ "grad_norm": 4.686298705261204,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.901,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.16216216216216217,
27
+ "grad_norm": 3.845773368004228,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.8638,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.21621621621621623,
34
+ "grad_norm": 1.2084435149780797,
35
+ "learning_rate": 5e-06,
36
+ "loss": 0.8438,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.2702702702702703,
41
+ "grad_norm": 1.2230909983840177,
42
+ "learning_rate": 5e-06,
43
+ "loss": 0.8171,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.32432432432432434,
48
+ "grad_norm": 1.157807396425601,
49
+ "learning_rate": 5e-06,
50
+ "loss": 0.8064,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.3783783783783784,
55
+ "grad_norm": 1.0520388989215772,
56
+ "learning_rate": 5e-06,
57
+ "loss": 0.7927,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.43243243243243246,
62
+ "grad_norm": 1.1196652431482914,
63
+ "learning_rate": 5e-06,
64
+ "loss": 0.7747,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.4864864864864865,
69
+ "grad_norm": 0.6953577952421816,
70
+ "learning_rate": 5e-06,
71
+ "loss": 0.7703,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.5405405405405406,
76
+ "grad_norm": 0.6437104033312465,
77
+ "learning_rate": 5e-06,
78
+ "loss": 0.7602,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.5945945945945946,
83
+ "grad_norm": 0.5950938123477948,
84
+ "learning_rate": 5e-06,
85
+ "loss": 0.7629,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.6486486486486487,
90
+ "grad_norm": 0.8555373702927223,
91
+ "learning_rate": 5e-06,
92
+ "loss": 0.7571,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.7027027027027027,
97
+ "grad_norm": 0.6581302627502208,
98
+ "learning_rate": 5e-06,
99
+ "loss": 0.7581,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.7567567567567568,
104
+ "grad_norm": 0.749539316772796,
105
+ "learning_rate": 5e-06,
106
+ "loss": 0.7576,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.8108108108108109,
111
+ "grad_norm": 0.9012750147077759,
112
+ "learning_rate": 5e-06,
113
+ "loss": 0.7491,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.8648648648648649,
118
+ "grad_norm": 1.0003344891667283,
119
+ "learning_rate": 5e-06,
120
+ "loss": 0.7484,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.918918918918919,
125
+ "grad_norm": 0.5842346603327839,
126
+ "learning_rate": 5e-06,
127
+ "loss": 0.7437,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.972972972972973,
132
+ "grad_norm": 0.7282297516188722,
133
+ "learning_rate": 5e-06,
134
+ "loss": 0.743,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 1.0,
139
+ "eval_loss": 0.7390317320823669,
140
+ "eval_runtime": 18.3704,
141
+ "eval_samples_per_second": 271.142,
142
+ "eval_steps_per_second": 1.089,
143
+ "step": 185
144
+ },
145
+ {
146
+ "epoch": 1.027027027027027,
147
+ "grad_norm": 0.7195535439746903,
148
+ "learning_rate": 5e-06,
149
+ "loss": 0.7171,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 1.0810810810810811,
154
+ "grad_norm": 0.7826560956274224,
155
+ "learning_rate": 5e-06,
156
+ "loss": 0.6929,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 1.135135135135135,
161
+ "grad_norm": 0.6347262203472063,
162
+ "learning_rate": 5e-06,
163
+ "loss": 0.6902,
164
+ "step": 210
165
+ },
166
+ {
167
+ "epoch": 1.1891891891891893,
168
+ "grad_norm": 0.5931684156059073,
169
+ "learning_rate": 5e-06,
170
+ "loss": 0.6884,
171
+ "step": 220
172
+ },
173
+ {
174
+ "epoch": 1.2432432432432432,
175
+ "grad_norm": 0.7752853171250648,
176
+ "learning_rate": 5e-06,
177
+ "loss": 0.6889,
178
+ "step": 230
179
+ },
180
+ {
181
+ "epoch": 1.2972972972972974,
182
+ "grad_norm": 0.7478360964739359,
183
+ "learning_rate": 5e-06,
184
+ "loss": 0.6852,
185
+ "step": 240
186
+ },
187
+ {
188
+ "epoch": 1.3513513513513513,
189
+ "grad_norm": 0.5628362775773748,
190
+ "learning_rate": 5e-06,
191
+ "loss": 0.6901,
192
+ "step": 250
193
+ },
194
+ {
195
+ "epoch": 1.4054054054054055,
196
+ "grad_norm": 0.7682067841431794,
197
+ "learning_rate": 5e-06,
198
+ "loss": 0.6934,
199
+ "step": 260
200
+ },
201
+ {
202
+ "epoch": 1.4594594594594594,
203
+ "grad_norm": 1.0008541706571907,
204
+ "learning_rate": 5e-06,
205
+ "loss": 0.6905,
206
+ "step": 270
207
+ },
208
+ {
209
+ "epoch": 1.5135135135135136,
210
+ "grad_norm": 0.7602668257483063,
211
+ "learning_rate": 5e-06,
212
+ "loss": 0.685,
213
+ "step": 280
214
+ },
215
+ {
216
+ "epoch": 1.5675675675675675,
217
+ "grad_norm": 0.5878782058266315,
218
+ "learning_rate": 5e-06,
219
+ "loss": 0.6934,
220
+ "step": 290
221
+ },
222
+ {
223
+ "epoch": 1.6216216216216215,
224
+ "grad_norm": 0.6170980492700607,
225
+ "learning_rate": 5e-06,
226
+ "loss": 0.6851,
227
+ "step": 300
228
+ },
229
+ {
230
+ "epoch": 1.6756756756756757,
231
+ "grad_norm": 0.5902033010560596,
232
+ "learning_rate": 5e-06,
233
+ "loss": 0.691,
234
+ "step": 310
235
+ },
236
+ {
237
+ "epoch": 1.7297297297297298,
238
+ "grad_norm": 0.6762902848413154,
239
+ "learning_rate": 5e-06,
240
+ "loss": 0.6881,
241
+ "step": 320
242
+ },
243
+ {
244
+ "epoch": 1.7837837837837838,
245
+ "grad_norm": 0.7612658565001286,
246
+ "learning_rate": 5e-06,
247
+ "loss": 0.6857,
248
+ "step": 330
249
+ },
250
+ {
251
+ "epoch": 1.8378378378378377,
252
+ "grad_norm": 0.627452123835476,
253
+ "learning_rate": 5e-06,
254
+ "loss": 0.6865,
255
+ "step": 340
256
+ },
257
+ {
258
+ "epoch": 1.8918918918918919,
259
+ "grad_norm": 0.6461247382668037,
260
+ "learning_rate": 5e-06,
261
+ "loss": 0.6909,
262
+ "step": 350
263
+ },
264
+ {
265
+ "epoch": 1.945945945945946,
266
+ "grad_norm": 0.724401549697059,
267
+ "learning_rate": 5e-06,
268
+ "loss": 0.6823,
269
+ "step": 360
270
+ },
271
+ {
272
+ "epoch": 2.0,
273
+ "grad_norm": 0.7525515284309081,
274
+ "learning_rate": 5e-06,
275
+ "loss": 0.6864,
276
+ "step": 370
277
+ },
278
+ {
279
+ "epoch": 2.0,
280
+ "eval_loss": 0.7247839570045471,
281
+ "eval_runtime": 18.3456,
282
+ "eval_samples_per_second": 271.509,
283
+ "eval_steps_per_second": 1.09,
284
+ "step": 370
285
+ },
286
+ {
287
+ "epoch": 2.054054054054054,
288
+ "grad_norm": 1.0012323729334982,
289
+ "learning_rate": 5e-06,
290
+ "loss": 0.6319,
291
+ "step": 380
292
+ },
293
+ {
294
+ "epoch": 2.108108108108108,
295
+ "grad_norm": 0.7681023698094773,
296
+ "learning_rate": 5e-06,
297
+ "loss": 0.6295,
298
+ "step": 390
299
+ },
300
+ {
301
+ "epoch": 2.1621621621621623,
302
+ "grad_norm": 0.8621378651367283,
303
+ "learning_rate": 5e-06,
304
+ "loss": 0.6338,
305
+ "step": 400
306
+ },
307
+ {
308
+ "epoch": 2.2162162162162162,
309
+ "grad_norm": 0.6685138348427274,
310
+ "learning_rate": 5e-06,
311
+ "loss": 0.6345,
312
+ "step": 410
313
+ },
314
+ {
315
+ "epoch": 2.27027027027027,
316
+ "grad_norm": 0.7748361529352558,
317
+ "learning_rate": 5e-06,
318
+ "loss": 0.6318,
319
+ "step": 420
320
+ },
321
+ {
322
+ "epoch": 2.3243243243243246,
323
+ "grad_norm": 0.6902563439835114,
324
+ "learning_rate": 5e-06,
325
+ "loss": 0.6307,
326
+ "step": 430
327
+ },
328
+ {
329
+ "epoch": 2.3783783783783785,
330
+ "grad_norm": 0.65478366353638,
331
+ "learning_rate": 5e-06,
332
+ "loss": 0.6327,
333
+ "step": 440
334
+ },
335
+ {
336
+ "epoch": 2.4324324324324325,
337
+ "grad_norm": 0.8078206435942417,
338
+ "learning_rate": 5e-06,
339
+ "loss": 0.6373,
340
+ "step": 450
341
+ },
342
+ {
343
+ "epoch": 2.4864864864864864,
344
+ "grad_norm": 0.7155089240266282,
345
+ "learning_rate": 5e-06,
346
+ "loss": 0.6345,
347
+ "step": 460
348
+ },
349
+ {
350
+ "epoch": 2.5405405405405403,
351
+ "grad_norm": 0.5962923444406328,
352
+ "learning_rate": 5e-06,
353
+ "loss": 0.6353,
354
+ "step": 470
355
+ },
356
+ {
357
+ "epoch": 2.5945945945945947,
358
+ "grad_norm": 0.6760222920573363,
359
+ "learning_rate": 5e-06,
360
+ "loss": 0.6375,
361
+ "step": 480
362
+ },
363
+ {
364
+ "epoch": 2.6486486486486487,
365
+ "grad_norm": 0.6920229419244353,
366
+ "learning_rate": 5e-06,
367
+ "loss": 0.6416,
368
+ "step": 490
369
+ },
370
+ {
371
+ "epoch": 2.7027027027027026,
372
+ "grad_norm": 0.8993732817521309,
373
+ "learning_rate": 5e-06,
374
+ "loss": 0.6328,
375
+ "step": 500
376
+ },
377
+ {
378
+ "epoch": 2.756756756756757,
379
+ "grad_norm": 0.6332520799460154,
380
+ "learning_rate": 5e-06,
381
+ "loss": 0.6336,
382
+ "step": 510
383
+ },
384
+ {
385
+ "epoch": 2.810810810810811,
386
+ "grad_norm": 0.7823999781914487,
387
+ "learning_rate": 5e-06,
388
+ "loss": 0.6375,
389
+ "step": 520
390
+ },
391
+ {
392
+ "epoch": 2.864864864864865,
393
+ "grad_norm": 0.6381365438539159,
394
+ "learning_rate": 5e-06,
395
+ "loss": 0.6392,
396
+ "step": 530
397
+ },
398
+ {
399
+ "epoch": 2.918918918918919,
400
+ "grad_norm": 0.6210510967595163,
401
+ "learning_rate": 5e-06,
402
+ "loss": 0.6382,
403
+ "step": 540
404
+ },
405
+ {
406
+ "epoch": 2.972972972972973,
407
+ "grad_norm": 0.7528369217739959,
408
+ "learning_rate": 5e-06,
409
+ "loss": 0.6385,
410
+ "step": 550
411
+ },
412
+ {
413
+ "epoch": 3.0,
414
+ "eval_loss": 0.7265511751174927,
415
+ "eval_runtime": 17.8771,
416
+ "eval_samples_per_second": 278.624,
417
+ "eval_steps_per_second": 1.119,
418
+ "step": 555
419
+ },
420
+ {
421
+ "epoch": 3.0,
422
+ "step": 555,
423
+ "total_flos": 929645671219200.0,
424
+ "train_loss": 0.7063687272973963,
425
+ "train_runtime": 3714.3031,
426
+ "train_samples_per_second": 76.432,
427
+ "train_steps_per_second": 0.149
428
+ }
429
+ ],
430
+ "logging_steps": 10,
431
+ "max_steps": 555,
432
+ "num_input_tokens_seen": 0,
433
+ "num_train_epochs": 3,
434
+ "save_steps": 500,
435
+ "stateful_callbacks": {
436
+ "TrainerControl": {
437
+ "args": {
438
+ "should_epoch_stop": false,
439
+ "should_evaluate": false,
440
+ "should_log": false,
441
+ "should_save": true,
442
+ "should_training_stop": true
443
+ },
444
+ "attributes": {}
445
+ }
446
+ },
447
+ "total_flos": 929645671219200.0,
448
+ "train_batch_size": 16,
449
+ "trial_name": null,
450
+ "trial_params": null
451
+ }
training_eval_loss.png ADDED
training_loss.png ADDED