ba144220 commited on
Commit
844eb6b
·
verified ·
1 Parent(s): 27530fd

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,7 @@ license: llama3
3
  base_model: meta-llama/Meta-Llama-3-8B-Instruct
4
  tags:
5
  - llama-factory
 
6
  - generated_from_trainer
7
  model-index:
8
  - name: dbw_240915
@@ -14,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # dbw_240915
16
 
17
- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.9151
20
 
21
  ## Model description
22
 
 
3
  base_model: meta-llama/Meta-Llama-3-8B-Instruct
4
  tags:
5
  - llama-factory
6
+ - full
7
  - generated_from_trainer
8
  model-index:
9
  - name: dbw_240915
 
15
 
16
  # dbw_240915
17
 
18
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the dbw_240914 dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.9119
21
 
22
  ## Model description
23
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.9118643999099731,
4
+ "eval_runtime": 61.6462,
5
+ "eval_samples_per_second": 3.244,
6
+ "eval_steps_per_second": 1.622,
7
+ "total_flos": 1092738416640.0,
8
+ "train_loss": 1.0288691223992241,
9
+ "train_runtime": 1866.138,
10
+ "train_samples_per_second": 0.965,
11
+ "train_steps_per_second": 0.241
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.9118643999099731,
4
+ "eval_runtime": 61.6462,
5
+ "eval_samples_per_second": 3.244,
6
+ "eval_steps_per_second": 1.622
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 1092738416640.0,
4
+ "train_loss": 1.0288691223992241,
5
+ "train_runtime": 1866.138,
6
+ "train_samples_per_second": 0.965,
7
+ "train_steps_per_second": 0.241
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,389 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 100,
6
+ "global_step": 450,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.022222222222222223,
13
+ "grad_norm": 15.23481298955369,
14
+ "learning_rate": 2.222222222222222e-06,
15
+ "loss": 1.405,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.044444444444444446,
20
+ "grad_norm": 14.775087887271988,
21
+ "learning_rate": 4.444444444444444e-06,
22
+ "loss": 1.11,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.06666666666666667,
27
+ "grad_norm": 8.844204398433797,
28
+ "learning_rate": 6.666666666666667e-06,
29
+ "loss": 1.0618,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.08888888888888889,
34
+ "grad_norm": 11.430917605582387,
35
+ "learning_rate": 8.888888888888888e-06,
36
+ "loss": 1.1446,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.1111111111111111,
41
+ "grad_norm": 11.800583302678678,
42
+ "learning_rate": 9.996239762521152e-06,
43
+ "loss": 1.1175,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.13333333333333333,
48
+ "grad_norm": 8.386548386677672,
49
+ "learning_rate": 9.966191788709716e-06,
50
+ "loss": 1.2044,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.15555555555555556,
55
+ "grad_norm": 10.002087983024431,
56
+ "learning_rate": 9.906276553136924e-06,
57
+ "loss": 1.1394,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.17777777777777778,
62
+ "grad_norm": 9.19270068765703,
63
+ "learning_rate": 9.816854393079402e-06,
64
+ "loss": 1.1235,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.2,
69
+ "grad_norm": 9.367507898324098,
70
+ "learning_rate": 9.698463103929542e-06,
71
+ "loss": 1.1788,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.2222222222222222,
76
+ "grad_norm": 7.398439137570879,
77
+ "learning_rate": 9.551814704830734e-06,
78
+ "loss": 1.107,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.2222222222222222,
83
+ "eval_loss": 1.100467562675476,
84
+ "eval_runtime": 61.6325,
85
+ "eval_samples_per_second": 3.245,
86
+ "eval_steps_per_second": 1.623,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 0.24444444444444444,
91
+ "grad_norm": 6.932832739844831,
92
+ "learning_rate": 9.377791156510456e-06,
93
+ "loss": 1.1634,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 0.26666666666666666,
98
+ "grad_norm": 7.9715773837823924,
99
+ "learning_rate": 9.177439057064684e-06,
100
+ "loss": 1.0996,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 0.28888888888888886,
105
+ "grad_norm": 7.455497454350953,
106
+ "learning_rate": 8.951963347593797e-06,
107
+ "loss": 1.12,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 0.3111111111111111,
112
+ "grad_norm": 8.943084575523226,
113
+ "learning_rate": 8.702720065545024e-06,
114
+ "loss": 1.0982,
115
+ "step": 140
116
+ },
117
+ {
118
+ "epoch": 0.3333333333333333,
119
+ "grad_norm": 8.559521410728289,
120
+ "learning_rate": 8.43120818934367e-06,
121
+ "loss": 1.1377,
122
+ "step": 150
123
+ },
124
+ {
125
+ "epoch": 0.35555555555555557,
126
+ "grad_norm": 7.163180714492423,
127
+ "learning_rate": 8.139060623360494e-06,
128
+ "loss": 1.1313,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 0.37777777777777777,
133
+ "grad_norm": 6.526676853646879,
134
+ "learning_rate": 7.828034377432694e-06,
135
+ "loss": 1.127,
136
+ "step": 170
137
+ },
138
+ {
139
+ "epoch": 0.4,
140
+ "grad_norm": 7.384056811473898,
141
+ "learning_rate": 7.500000000000001e-06,
142
+ "loss": 1.0313,
143
+ "step": 180
144
+ },
145
+ {
146
+ "epoch": 0.4222222222222222,
147
+ "grad_norm": 6.741193547166085,
148
+ "learning_rate": 7.156930328406268e-06,
149
+ "loss": 1.0519,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 0.4444444444444444,
154
+ "grad_norm": 6.831151589131766,
155
+ "learning_rate": 6.800888624023552e-06,
156
+ "loss": 1.0303,
157
+ "step": 200
158
+ },
159
+ {
160
+ "epoch": 0.4444444444444444,
161
+ "eval_loss": 1.0128766298294067,
162
+ "eval_runtime": 61.6213,
163
+ "eval_samples_per_second": 3.246,
164
+ "eval_steps_per_second": 1.623,
165
+ "step": 200
166
+ },
167
+ {
168
+ "epoch": 0.4666666666666667,
169
+ "grad_norm": 7.994739699626817,
170
+ "learning_rate": 6.434016163555452e-06,
171
+ "loss": 0.9573,
172
+ "step": 210
173
+ },
174
+ {
175
+ "epoch": 0.4888888888888889,
176
+ "grad_norm": 5.9667654988837535,
177
+ "learning_rate": 6.058519361147055e-06,
178
+ "loss": 1.0128,
179
+ "step": 220
180
+ },
181
+ {
182
+ "epoch": 0.5111111111111111,
183
+ "grad_norm": 7.202591191442998,
184
+ "learning_rate": 5.6766564987506564e-06,
185
+ "loss": 1.0354,
186
+ "step": 230
187
+ },
188
+ {
189
+ "epoch": 0.5333333333333333,
190
+ "grad_norm": 6.773568220076416,
191
+ "learning_rate": 5.290724144552379e-06,
192
+ "loss": 1.0924,
193
+ "step": 240
194
+ },
195
+ {
196
+ "epoch": 0.5555555555555556,
197
+ "grad_norm": 5.998554904237593,
198
+ "learning_rate": 4.903043341140879e-06,
199
+ "loss": 1.063,
200
+ "step": 250
201
+ },
202
+ {
203
+ "epoch": 0.5777777777777777,
204
+ "grad_norm": 6.980524964053779,
205
+ "learning_rate": 4.515945646484105e-06,
206
+ "loss": 1.0263,
207
+ "step": 260
208
+ },
209
+ {
210
+ "epoch": 0.6,
211
+ "grad_norm": 5.885312146673563,
212
+ "learning_rate": 4.131759111665349e-06,
213
+ "loss": 0.9798,
214
+ "step": 270
215
+ },
216
+ {
217
+ "epoch": 0.6222222222222222,
218
+ "grad_norm": 7.5435937455645155,
219
+ "learning_rate": 3.752794279710094e-06,
220
+ "loss": 0.9744,
221
+ "step": 280
222
+ },
223
+ {
224
+ "epoch": 0.6444444444444445,
225
+ "grad_norm": 7.713036460895744,
226
+ "learning_rate": 3.3813302897083955e-06,
227
+ "loss": 0.9874,
228
+ "step": 290
229
+ },
230
+ {
231
+ "epoch": 0.6666666666666666,
232
+ "grad_norm": 7.323561184985059,
233
+ "learning_rate": 3.019601169804216e-06,
234
+ "loss": 0.9439,
235
+ "step": 300
236
+ },
237
+ {
238
+ "epoch": 0.6666666666666666,
239
+ "eval_loss": 0.9523131847381592,
240
+ "eval_runtime": 61.6063,
241
+ "eval_samples_per_second": 3.246,
242
+ "eval_steps_per_second": 1.623,
243
+ "step": 300
244
+ },
245
+ {
246
+ "epoch": 0.6888888888888889,
247
+ "grad_norm": 5.889165095526867,
248
+ "learning_rate": 2.6697824014873076e-06,
249
+ "loss": 0.9909,
250
+ "step": 310
251
+ },
252
+ {
253
+ "epoch": 0.7111111111111111,
254
+ "grad_norm": 6.453354559584317,
255
+ "learning_rate": 2.333977835991545e-06,
256
+ "loss": 0.966,
257
+ "step": 320
258
+ },
259
+ {
260
+ "epoch": 0.7333333333333333,
261
+ "grad_norm": 5.327231148266013,
262
+ "learning_rate": 2.0142070414860704e-06,
263
+ "loss": 0.8804,
264
+ "step": 330
265
+ },
266
+ {
267
+ "epoch": 0.7555555555555555,
268
+ "grad_norm": 7.333300364450659,
269
+ "learning_rate": 1.7123931571546826e-06,
270
+ "loss": 0.8833,
271
+ "step": 340
272
+ },
273
+ {
274
+ "epoch": 0.7777777777777778,
275
+ "grad_norm": 8.600679211226076,
276
+ "learning_rate": 1.4303513272105057e-06,
277
+ "loss": 0.9143,
278
+ "step": 350
279
+ },
280
+ {
281
+ "epoch": 0.8,
282
+ "grad_norm": 5.446196813851984,
283
+ "learning_rate": 1.1697777844051105e-06,
284
+ "loss": 0.9209,
285
+ "step": 360
286
+ },
287
+ {
288
+ "epoch": 0.8222222222222222,
289
+ "grad_norm": 8.420616876259867,
290
+ "learning_rate": 9.322396486851626e-07,
291
+ "loss": 0.8687,
292
+ "step": 370
293
+ },
294
+ {
295
+ "epoch": 0.8444444444444444,
296
+ "grad_norm": 6.567024558382901,
297
+ "learning_rate": 7.191655023486682e-07,
298
+ "loss": 0.8947,
299
+ "step": 380
300
+ },
301
+ {
302
+ "epoch": 0.8666666666666667,
303
+ "grad_norm": 7.482818561159306,
304
+ "learning_rate": 5.318367983829393e-07,
305
+ "loss": 0.9376,
306
+ "step": 390
307
+ },
308
+ {
309
+ "epoch": 0.8888888888888888,
310
+ "grad_norm": 5.7920770579615,
311
+ "learning_rate": 3.7138015365554834e-07,
312
+ "loss": 0.8362,
313
+ "step": 400
314
+ },
315
+ {
316
+ "epoch": 0.8888888888888888,
317
+ "eval_loss": 0.9151431322097778,
318
+ "eval_runtime": 61.6034,
319
+ "eval_samples_per_second": 3.247,
320
+ "eval_steps_per_second": 1.623,
321
+ "step": 400
322
+ },
323
+ {
324
+ "epoch": 0.9111111111111111,
325
+ "grad_norm": 7.05898138836526,
326
+ "learning_rate": 2.3876057330792344e-07,
327
+ "loss": 0.8494,
328
+ "step": 410
329
+ },
330
+ {
331
+ "epoch": 0.9333333333333333,
332
+ "grad_norm": 7.202485078434944,
333
+ "learning_rate": 1.3477564710088097e-07,
334
+ "loss": 0.9062,
335
+ "step": 420
336
+ },
337
+ {
338
+ "epoch": 0.9555555555555556,
339
+ "grad_norm": 6.041514675233874,
340
+ "learning_rate": 6.005075261595495e-08,
341
+ "loss": 0.9755,
342
+ "step": 430
343
+ },
344
+ {
345
+ "epoch": 0.9777777777777777,
346
+ "grad_norm": 6.891604479006659,
347
+ "learning_rate": 1.5035294161039882e-08,
348
+ "loss": 0.9235,
349
+ "step": 440
350
+ },
351
+ {
352
+ "epoch": 1.0,
353
+ "grad_norm": 7.456362795939337,
354
+ "learning_rate": 0.0,
355
+ "loss": 0.8962,
356
+ "step": 450
357
+ },
358
+ {
359
+ "epoch": 1.0,
360
+ "step": 450,
361
+ "total_flos": 1092738416640.0,
362
+ "train_loss": 1.0288691223992241,
363
+ "train_runtime": 1866.138,
364
+ "train_samples_per_second": 0.965,
365
+ "train_steps_per_second": 0.241
366
+ }
367
+ ],
368
+ "logging_steps": 10,
369
+ "max_steps": 450,
370
+ "num_input_tokens_seen": 0,
371
+ "num_train_epochs": 1,
372
+ "save_steps": 500,
373
+ "stateful_callbacks": {
374
+ "TrainerControl": {
375
+ "args": {
376
+ "should_epoch_stop": false,
377
+ "should_evaluate": false,
378
+ "should_log": false,
379
+ "should_save": false,
380
+ "should_training_stop": false
381
+ },
382
+ "attributes": {}
383
+ }
384
+ },
385
+ "total_flos": 1092738416640.0,
386
+ "train_batch_size": 1,
387
+ "trial_name": null,
388
+ "trial_params": null
389
+ }
training_eval_loss.png ADDED
training_loss.png ADDED