sedrickkeh commited on
Commit
e88b8f0
·
verified ·
1 Parent(s): 9012ad0

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: mistralai/Mistral-7B-v0.1
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: hp_ablations_grid_mistral_bsz2048_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # hp_ablations_grid_mistral_bsz2048_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
17
 
18
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.0577
21
 
 
4
  base_model: mistralai/Mistral-7B-v0.1
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: hp_ablations_grid_mistral_bsz2048_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
 
16
 
17
  # hp_ablations_grid_mistral_bsz2048_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
18
 
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the mlfoundations-dev/oh-dcft-v3-llama3.1-nemotron-70b_shareGPT_format dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.0577
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.05768963322043419,
4
+ "eval_runtime": 115.3652,
5
+ "eval_samples_per_second": 156.919,
6
+ "eval_steps_per_second": 0.615,
7
+ "total_flos": 3376037568184320.0,
8
+ "train_loss": 0.4685976881356466,
9
+ "train_runtime": 17114.7356,
10
+ "train_samples_per_second": 60.291,
11
+ "train_steps_per_second": 0.029
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.05768963322043419,
4
+ "eval_runtime": 115.3652,
5
+ "eval_samples_per_second": 156.919,
6
+ "eval_steps_per_second": 0.615
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 3376037568184320.0,
4
+ "train_loss": 0.4685976881356466,
5
+ "train_runtime": 17114.7356,
6
+ "train_samples_per_second": 60.291,
7
+ "train_steps_per_second": 0.029
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,416 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 504,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05952380952380952,
13
+ "grad_norm": 5.299262070423908,
14
+ "learning_rate": 6.578947368421053e-07,
15
+ "loss": 0.8677,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.11904761904761904,
20
+ "grad_norm": 2.380389310720017,
21
+ "learning_rate": 1.3157894736842106e-06,
22
+ "loss": 0.7536,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.17857142857142858,
27
+ "grad_norm": 1.3714299753599561,
28
+ "learning_rate": 1.973684210526316e-06,
29
+ "loss": 0.672,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.23809523809523808,
34
+ "grad_norm": 2.440712010584784,
35
+ "learning_rate": 2.631578947368421e-06,
36
+ "loss": 0.6227,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.2976190476190476,
41
+ "grad_norm": 3.672454000950744,
42
+ "learning_rate": 3.289473684210527e-06,
43
+ "loss": 0.5956,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.35714285714285715,
48
+ "grad_norm": 3.8923742001385255,
49
+ "learning_rate": 3.947368421052632e-06,
50
+ "loss": 0.5737,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.4166666666666667,
55
+ "grad_norm": 2.7164238633471167,
56
+ "learning_rate": 4.605263157894737e-06,
57
+ "loss": 0.5614,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.47619047619047616,
62
+ "grad_norm": 3.3873414602992855,
63
+ "learning_rate": 4.999030264010747e-06,
64
+ "loss": 0.5528,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.5357142857142857,
69
+ "grad_norm": 2.968687348637466,
70
+ "learning_rate": 4.988130331649192e-06,
71
+ "loss": 0.5453,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.5952380952380952,
76
+ "grad_norm": 1.9568832636419962,
77
+ "learning_rate": 4.965177193256699e-06,
78
+ "loss": 0.5341,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.6547619047619048,
83
+ "grad_norm": 2.440397495262987,
84
+ "learning_rate": 4.930294460448816e-06,
85
+ "loss": 0.5308,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.7142857142857143,
90
+ "grad_norm": 2.9778062943530497,
91
+ "learning_rate": 4.88366999036662e-06,
92
+ "loss": 0.5197,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.7738095238095238,
97
+ "grad_norm": 1.8637684628832845,
98
+ "learning_rate": 4.825554873992629e-06,
99
+ "loss": 0.516,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.8333333333333334,
104
+ "grad_norm": 1.3121883792571427,
105
+ "learning_rate": 4.756262083927795e-06,
106
+ "loss": 0.5079,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.8928571428571429,
111
+ "grad_norm": 2.4383628804182473,
112
+ "learning_rate": 4.676164788911806e-06,
113
+ "loss": 0.505,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.9523809523809523,
118
+ "grad_norm": 2.0463100870594877,
119
+ "learning_rate": 4.585694344163653e-06,
120
+ "loss": 0.4986,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 1.0,
125
+ "eval_loss": 0.06195693090558052,
126
+ "eval_runtime": 116.3718,
127
+ "eval_samples_per_second": 155.562,
128
+ "eval_steps_per_second": 0.61,
129
+ "step": 168
130
+ },
131
+ {
132
+ "epoch": 1.0119047619047619,
133
+ "grad_norm": 2.515098432986105,
134
+ "learning_rate": 4.485337968365309e-06,
135
+ "loss": 0.4896,
136
+ "step": 170
137
+ },
138
+ {
139
+ "epoch": 1.0714285714285714,
140
+ "grad_norm": 2.13915818649895,
141
+ "learning_rate": 4.375636119798806e-06,
142
+ "loss": 0.4561,
143
+ "step": 180
144
+ },
145
+ {
146
+ "epoch": 1.130952380952381,
147
+ "grad_norm": 2.186912611298388,
148
+ "learning_rate": 4.257179585767301e-06,
149
+ "loss": 0.4533,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 1.1904761904761905,
154
+ "grad_norm": 1.779282800982749,
155
+ "learning_rate": 4.130606300974687e-06,
156
+ "loss": 0.4518,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 1.25,
161
+ "grad_norm": 2.25475165594455,
162
+ "learning_rate": 3.996597911998038e-06,
163
+ "loss": 0.4525,
164
+ "step": 210
165
+ },
166
+ {
167
+ "epoch": 1.3095238095238095,
168
+ "grad_norm": 1.557469577660601,
169
+ "learning_rate": 3.855876106354553e-06,
170
+ "loss": 0.4487,
171
+ "step": 220
172
+ },
173
+ {
174
+ "epoch": 1.369047619047619,
175
+ "grad_norm": 1.9579669101720405,
176
+ "learning_rate": 3.7091987259323816e-06,
177
+ "loss": 0.4485,
178
+ "step": 230
179
+ },
180
+ {
181
+ "epoch": 1.4285714285714286,
182
+ "grad_norm": 2.0812279589952936,
183
+ "learning_rate": 3.5573556857160563e-06,
184
+ "loss": 0.4459,
185
+ "step": 240
186
+ },
187
+ {
188
+ "epoch": 1.4880952380952381,
189
+ "grad_norm": 1.4997277173521812,
190
+ "learning_rate": 3.4011647197857655e-06,
191
+ "loss": 0.4426,
192
+ "step": 250
193
+ },
194
+ {
195
+ "epoch": 1.5476190476190477,
196
+ "grad_norm": 1.354646988285002,
197
+ "learning_rate": 3.241466977499929e-06,
198
+ "loss": 0.4414,
199
+ "step": 260
200
+ },
201
+ {
202
+ "epoch": 1.6071428571428572,
203
+ "grad_norm": 1.9258480779001574,
204
+ "learning_rate": 3.0791224935773623e-06,
205
+ "loss": 0.4396,
206
+ "step": 270
207
+ },
208
+ {
209
+ "epoch": 1.6666666666666665,
210
+ "grad_norm": 1.988708522981766,
211
+ "learning_rate": 2.915005556474384e-06,
212
+ "loss": 0.4401,
213
+ "step": 280
214
+ },
215
+ {
216
+ "epoch": 1.7261904761904763,
217
+ "grad_norm": 2.4323525910012975,
218
+ "learning_rate": 2.7500000000000004e-06,
219
+ "loss": 0.4398,
220
+ "step": 290
221
+ },
222
+ {
223
+ "epoch": 1.7857142857142856,
224
+ "grad_norm": 1.678639667621983,
225
+ "learning_rate": 2.584994443525617e-06,
226
+ "loss": 0.4345,
227
+ "step": 300
228
+ },
229
+ {
230
+ "epoch": 1.8452380952380953,
231
+ "grad_norm": 1.1702436863538217,
232
+ "learning_rate": 2.4208775064226384e-06,
233
+ "loss": 0.4333,
234
+ "step": 310
235
+ },
236
+ {
237
+ "epoch": 1.9047619047619047,
238
+ "grad_norm": 1.4024476470543301,
239
+ "learning_rate": 2.258533022500071e-06,
240
+ "loss": 0.4325,
241
+ "step": 320
242
+ },
243
+ {
244
+ "epoch": 1.9642857142857144,
245
+ "grad_norm": 1.1603090253830357,
246
+ "learning_rate": 2.098835280214235e-06,
247
+ "loss": 0.4321,
248
+ "step": 330
249
+ },
250
+ {
251
+ "epoch": 2.0,
252
+ "eval_loss": 0.057941731065511703,
253
+ "eval_runtime": 115.9916,
254
+ "eval_samples_per_second": 156.072,
255
+ "eval_steps_per_second": 0.612,
256
+ "step": 336
257
+ },
258
+ {
259
+ "epoch": 2.0238095238095237,
260
+ "grad_norm": 1.9978348550406826,
261
+ "learning_rate": 1.9426443142839448e-06,
262
+ "loss": 0.4132,
263
+ "step": 340
264
+ },
265
+ {
266
+ "epoch": 2.0833333333333335,
267
+ "grad_norm": 1.986804137597318,
268
+ "learning_rate": 1.7908012740676195e-06,
269
+ "loss": 0.388,
270
+ "step": 350
271
+ },
272
+ {
273
+ "epoch": 2.142857142857143,
274
+ "grad_norm": 1.731363227328417,
275
+ "learning_rate": 1.6441238936454482e-06,
276
+ "loss": 0.3835,
277
+ "step": 360
278
+ },
279
+ {
280
+ "epoch": 2.2023809523809526,
281
+ "grad_norm": 2.0119447131912582,
282
+ "learning_rate": 1.503402088001962e-06,
283
+ "loss": 0.3832,
284
+ "step": 370
285
+ },
286
+ {
287
+ "epoch": 2.261904761904762,
288
+ "grad_norm": 1.5941336039873037,
289
+ "learning_rate": 1.369393699025314e-06,
290
+ "loss": 0.3858,
291
+ "step": 380
292
+ },
293
+ {
294
+ "epoch": 2.3214285714285716,
295
+ "grad_norm": 1.0359242123124663,
296
+ "learning_rate": 1.2428204142327e-06,
297
+ "loss": 0.3821,
298
+ "step": 390
299
+ },
300
+ {
301
+ "epoch": 2.380952380952381,
302
+ "grad_norm": 0.8376201687570947,
303
+ "learning_rate": 1.1243638802011956e-06,
304
+ "loss": 0.381,
305
+ "step": 400
306
+ },
307
+ {
308
+ "epoch": 2.4404761904761907,
309
+ "grad_norm": 1.0050355147182548,
310
+ "learning_rate": 1.014662031634692e-06,
311
+ "loss": 0.3811,
312
+ "step": 410
313
+ },
314
+ {
315
+ "epoch": 2.5,
316
+ "grad_norm": 0.806787956864186,
317
+ "learning_rate": 9.143056558363464e-07,
318
+ "loss": 0.3816,
319
+ "step": 420
320
+ },
321
+ {
322
+ "epoch": 2.5595238095238093,
323
+ "grad_norm": 0.7603098782531363,
324
+ "learning_rate": 8.238352110881944e-07,
325
+ "loss": 0.383,
326
+ "step": 430
327
+ },
328
+ {
329
+ "epoch": 2.619047619047619,
330
+ "grad_norm": 0.774908703628573,
331
+ "learning_rate": 7.437379160722046e-07,
332
+ "loss": 0.3835,
333
+ "step": 440
334
+ },
335
+ {
336
+ "epoch": 2.678571428571429,
337
+ "grad_norm": 0.7922659662804896,
338
+ "learning_rate": 6.744451260073717e-07,
339
+ "loss": 0.3816,
340
+ "step": 450
341
+ },
342
+ {
343
+ "epoch": 2.738095238095238,
344
+ "grad_norm": 0.8064438610431734,
345
+ "learning_rate": 6.163300096333806e-07,
346
+ "loss": 0.3827,
347
+ "step": 460
348
+ },
349
+ {
350
+ "epoch": 2.7976190476190474,
351
+ "grad_norm": 0.7992242840549578,
352
+ "learning_rate": 5.697055395511835e-07,
353
+ "loss": 0.3815,
354
+ "step": 470
355
+ },
356
+ {
357
+ "epoch": 2.857142857142857,
358
+ "grad_norm": 0.7341170669407623,
359
+ "learning_rate": 5.348228067433014e-07,
360
+ "loss": 0.3811,
361
+ "step": 480
362
+ },
363
+ {
364
+ "epoch": 2.9166666666666665,
365
+ "grad_norm": 0.7372523390864286,
366
+ "learning_rate": 5.118696683508087e-07,
367
+ "loss": 0.3783,
368
+ "step": 490
369
+ },
370
+ {
371
+ "epoch": 2.9761904761904763,
372
+ "grad_norm": 0.7078290682973725,
373
+ "learning_rate": 5.009697359892537e-07,
374
+ "loss": 0.3803,
375
+ "step": 500
376
+ },
377
+ {
378
+ "epoch": 3.0,
379
+ "eval_loss": 0.05768963322043419,
380
+ "eval_runtime": 114.2584,
381
+ "eval_samples_per_second": 158.439,
382
+ "eval_steps_per_second": 0.621,
383
+ "step": 504
384
+ },
385
+ {
386
+ "epoch": 3.0,
387
+ "step": 504,
388
+ "total_flos": 3376037568184320.0,
389
+ "train_loss": 0.4685976881356466,
390
+ "train_runtime": 17114.7356,
391
+ "train_samples_per_second": 60.291,
392
+ "train_steps_per_second": 0.029
393
+ }
394
+ ],
395
+ "logging_steps": 10,
396
+ "max_steps": 504,
397
+ "num_input_tokens_seen": 0,
398
+ "num_train_epochs": 3,
399
+ "save_steps": 500,
400
+ "stateful_callbacks": {
401
+ "TrainerControl": {
402
+ "args": {
403
+ "should_epoch_stop": false,
404
+ "should_evaluate": false,
405
+ "should_log": false,
406
+ "should_save": true,
407
+ "should_training_stop": true
408
+ },
409
+ "attributes": {}
410
+ }
411
+ },
412
+ "total_flos": 3376037568184320.0,
413
+ "train_batch_size": 8,
414
+ "trial_name": null,
415
+ "trial_params": null
416
+ }
training_eval_loss.png ADDED
training_loss.png ADDED