chchen commited on
Commit
826e0e2
·
verified ·
1 Parent(s): 79f5a14

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
4
  base_model: meta-llama/Llama-3.1-8B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: Llama-3.1-8B-Instruct-PsyCourse-info-fold5
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Llama-3.1-8B-Instruct-PsyCourse-info-fold5
17
 
18
- This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.1786
21
 
22
  ## Model description
23
 
 
4
  base_model: meta-llama/Llama-3.1-8B-Instruct
5
  tags:
6
  - llama-factory
7
+ - lora
8
  - generated_from_trainer
9
  model-index:
10
  - name: Llama-3.1-8B-Instruct-PsyCourse-info-fold5
 
16
 
17
  # Llama-3.1-8B-Instruct-PsyCourse-info-fold5
18
 
19
+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the course-info-train-fold5 dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.1666
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.938271604938271,
3
+ "eval_loss": 0.1666204035282135,
4
+ "eval_runtime": 21.5316,
5
+ "eval_samples_per_second": 2.09,
6
+ "eval_steps_per_second": 2.09,
7
+ "total_flos": 1.2544994631765197e+17,
8
+ "train_loss": 0.20047055861353874,
9
+ "train_runtime": 3505.2142,
10
+ "train_samples_per_second": 0.578,
11
+ "train_steps_per_second": 0.036
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.938271604938271,
3
+ "eval_loss": 0.1666204035282135,
4
+ "eval_runtime": 21.5316,
5
+ "eval_samples_per_second": 2.09,
6
+ "eval_steps_per_second": 2.09
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.938271604938271,
3
+ "total_flos": 1.2544994631765197e+17,
4
+ "train_loss": 0.20047055861353874,
5
+ "train_runtime": 3505.2142,
6
+ "train_samples_per_second": 0.578,
7
+ "train_steps_per_second": 0.036
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.1666204035282135,
3
+ "best_model_checkpoint": "saves/psy-course-info/Llama-3.1-8B-Instruct/train/fold5/checkpoint-80",
4
+ "epoch": 4.938271604938271,
5
+ "eval_steps": 10,
6
+ "global_step": 125,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03950617283950617,
13
+ "grad_norm": 2.390590190887451,
14
+ "learning_rate": 7.692307692307694e-06,
15
+ "loss": 0.9745,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.07901234567901234,
20
+ "grad_norm": 2.110008955001831,
21
+ "learning_rate": 1.5384615384615387e-05,
22
+ "loss": 1.1372,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.11851851851851852,
27
+ "grad_norm": 2.4071006774902344,
28
+ "learning_rate": 2.307692307692308e-05,
29
+ "loss": 1.0848,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.1580246913580247,
34
+ "grad_norm": 2.4010870456695557,
35
+ "learning_rate": 3.0769230769230774e-05,
36
+ "loss": 1.0268,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.19753086419753085,
41
+ "grad_norm": 2.381700038909912,
42
+ "learning_rate": 3.846153846153846e-05,
43
+ "loss": 1.0938,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.23703703703703705,
48
+ "grad_norm": 2.4948089122772217,
49
+ "learning_rate": 4.615384615384616e-05,
50
+ "loss": 0.9037,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.2765432098765432,
55
+ "grad_norm": 2.316774845123291,
56
+ "learning_rate": 5.384615384615385e-05,
57
+ "loss": 0.7979,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.3160493827160494,
62
+ "grad_norm": 2.3302149772644043,
63
+ "learning_rate": 6.153846153846155e-05,
64
+ "loss": 0.7169,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.35555555555555557,
69
+ "grad_norm": 2.632554531097412,
70
+ "learning_rate": 6.923076923076924e-05,
71
+ "loss": 0.8378,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.3950617283950617,
76
+ "grad_norm": 1.5894763469696045,
77
+ "learning_rate": 7.692307692307693e-05,
78
+ "loss": 0.5084,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.3950617283950617,
83
+ "eval_loss": 0.44762614369392395,
84
+ "eval_runtime": 22.1152,
85
+ "eval_samples_per_second": 2.035,
86
+ "eval_steps_per_second": 2.035,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.4345679012345679,
91
+ "grad_norm": 1.0913043022155762,
92
+ "learning_rate": 8.461538461538461e-05,
93
+ "loss": 0.4427,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.4740740740740741,
98
+ "grad_norm": 1.0444154739379883,
99
+ "learning_rate": 9.230769230769232e-05,
100
+ "loss": 0.5056,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.5135802469135803,
105
+ "grad_norm": 1.0997925996780396,
106
+ "learning_rate": 0.0001,
107
+ "loss": 0.3871,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.5530864197530864,
112
+ "grad_norm": 1.1726300716400146,
113
+ "learning_rate": 9.998033131915266e-05,
114
+ "loss": 0.4969,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.5925925925925926,
119
+ "grad_norm": 0.8532429337501526,
120
+ "learning_rate": 9.992134075089084e-05,
121
+ "loss": 0.3259,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.6320987654320988,
126
+ "grad_norm": 1.0293227434158325,
127
+ "learning_rate": 9.982307470588098e-05,
128
+ "loss": 0.3617,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.671604938271605,
133
+ "grad_norm": 0.872860312461853,
134
+ "learning_rate": 9.968561049466214e-05,
135
+ "loss": 0.2679,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.7111111111111111,
140
+ "grad_norm": 0.7107505798339844,
141
+ "learning_rate": 9.950905626682228e-05,
142
+ "loss": 0.3148,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.7506172839506173,
147
+ "grad_norm": 0.6841442584991455,
148
+ "learning_rate": 9.92935509259118e-05,
149
+ "loss": 0.326,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.7901234567901234,
154
+ "grad_norm": 0.6877167820930481,
155
+ "learning_rate": 9.903926402016153e-05,
156
+ "loss": 0.2794,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.7901234567901234,
161
+ "eval_loss": 0.2594798803329468,
162
+ "eval_runtime": 21.9154,
163
+ "eval_samples_per_second": 2.053,
164
+ "eval_steps_per_second": 2.053,
165
+ "step": 20
166
+ },
167
+ {
168
+ "epoch": 0.8296296296296296,
169
+ "grad_norm": 0.7281572818756104,
170
+ "learning_rate": 9.874639560909117e-05,
171
+ "loss": 0.2566,
172
+ "step": 21
173
+ },
174
+ {
175
+ "epoch": 0.8691358024691358,
176
+ "grad_norm": 0.6940970420837402,
177
+ "learning_rate": 9.841517610611309e-05,
178
+ "loss": 0.1588,
179
+ "step": 22
180
+ },
181
+ {
182
+ "epoch": 0.908641975308642,
183
+ "grad_norm": 0.6639460921287537,
184
+ "learning_rate": 9.804586609725499e-05,
185
+ "loss": 0.2212,
186
+ "step": 23
187
+ },
188
+ {
189
+ "epoch": 0.9481481481481482,
190
+ "grad_norm": 0.5774286389350891,
191
+ "learning_rate": 9.763875613614482e-05,
192
+ "loss": 0.1787,
193
+ "step": 24
194
+ },
195
+ {
196
+ "epoch": 0.9876543209876543,
197
+ "grad_norm": 0.4488324522972107,
198
+ "learning_rate": 9.719416651541839e-05,
199
+ "loss": 0.1872,
200
+ "step": 25
201
+ },
202
+ {
203
+ "epoch": 1.0271604938271606,
204
+ "grad_norm": 0.92247474193573,
205
+ "learning_rate": 9.671244701472999e-05,
206
+ "loss": 0.3576,
207
+ "step": 26
208
+ },
209
+ {
210
+ "epoch": 1.0666666666666667,
211
+ "grad_norm": 0.5308850407600403,
212
+ "learning_rate": 9.619397662556435e-05,
213
+ "loss": 0.1652,
214
+ "step": 27
215
+ },
216
+ {
217
+ "epoch": 1.106172839506173,
218
+ "grad_norm": 0.5793072581291199,
219
+ "learning_rate": 9.563916325306594e-05,
220
+ "loss": 0.1802,
221
+ "step": 28
222
+ },
223
+ {
224
+ "epoch": 1.145679012345679,
225
+ "grad_norm": 0.6736124753952026,
226
+ "learning_rate": 9.504844339512095e-05,
227
+ "loss": 0.2188,
228
+ "step": 29
229
+ },
230
+ {
231
+ "epoch": 1.1851851851851851,
232
+ "grad_norm": 0.5424795746803284,
233
+ "learning_rate": 9.442228179894362e-05,
234
+ "loss": 0.1812,
235
+ "step": 30
236
+ },
237
+ {
238
+ "epoch": 1.1851851851851851,
239
+ "eval_loss": 0.198435977101326,
240
+ "eval_runtime": 21.965,
241
+ "eval_samples_per_second": 2.049,
242
+ "eval_steps_per_second": 2.049,
243
+ "step": 30
244
+ },
245
+ {
246
+ "epoch": 1.2246913580246914,
247
+ "grad_norm": 0.44624239206314087,
248
+ "learning_rate": 9.376117109543769e-05,
249
+ "loss": 0.1176,
250
+ "step": 31
251
+ },
252
+ {
253
+ "epoch": 1.2641975308641975,
254
+ "grad_norm": 0.5322471261024475,
255
+ "learning_rate": 9.306563141162046e-05,
256
+ "loss": 0.1486,
257
+ "step": 32
258
+ },
259
+ {
260
+ "epoch": 1.3037037037037038,
261
+ "grad_norm": 0.5887348651885986,
262
+ "learning_rate": 9.233620996141421e-05,
263
+ "loss": 0.1616,
264
+ "step": 33
265
+ },
266
+ {
267
+ "epoch": 1.34320987654321,
268
+ "grad_norm": 0.6617743372917175,
269
+ "learning_rate": 9.157348061512727e-05,
270
+ "loss": 0.2294,
271
+ "step": 34
272
+ },
273
+ {
274
+ "epoch": 1.382716049382716,
275
+ "grad_norm": 0.5999974012374878,
276
+ "learning_rate": 9.077804344796302e-05,
277
+ "loss": 0.1573,
278
+ "step": 35
279
+ },
280
+ {
281
+ "epoch": 1.4222222222222223,
282
+ "grad_norm": 0.47161704301834106,
283
+ "learning_rate": 8.995052426791247e-05,
284
+ "loss": 0.1303,
285
+ "step": 36
286
+ },
287
+ {
288
+ "epoch": 1.4617283950617284,
289
+ "grad_norm": 0.4772252142429352,
290
+ "learning_rate": 8.90915741234015e-05,
291
+ "loss": 0.1349,
292
+ "step": 37
293
+ },
294
+ {
295
+ "epoch": 1.5012345679012347,
296
+ "grad_norm": 0.7842425107955933,
297
+ "learning_rate": 8.820186879108038e-05,
298
+ "loss": 0.2103,
299
+ "step": 38
300
+ },
301
+ {
302
+ "epoch": 1.5407407407407407,
303
+ "grad_norm": 0.5398549437522888,
304
+ "learning_rate": 8.728210824415827e-05,
305
+ "loss": 0.1215,
306
+ "step": 39
307
+ },
308
+ {
309
+ "epoch": 1.5802469135802468,
310
+ "grad_norm": 0.5042911171913147,
311
+ "learning_rate": 8.633301610170135e-05,
312
+ "loss": 0.1498,
313
+ "step": 40
314
+ },
315
+ {
316
+ "epoch": 1.5802469135802468,
317
+ "eval_loss": 0.17972540855407715,
318
+ "eval_runtime": 21.9712,
319
+ "eval_samples_per_second": 2.048,
320
+ "eval_steps_per_second": 2.048,
321
+ "step": 40
322
+ },
323
+ {
324
+ "epoch": 1.6197530864197531,
325
+ "grad_norm": 0.5407368540763855,
326
+ "learning_rate": 8.535533905932738e-05,
327
+ "loss": 0.1332,
328
+ "step": 41
329
+ },
330
+ {
331
+ "epoch": 1.6592592592592592,
332
+ "grad_norm": 0.8680931329727173,
333
+ "learning_rate": 8.434984630174509e-05,
334
+ "loss": 0.2058,
335
+ "step": 42
336
+ },
337
+ {
338
+ "epoch": 1.6987654320987655,
339
+ "grad_norm": 0.48436468839645386,
340
+ "learning_rate": 8.33173288976002e-05,
341
+ "loss": 0.1413,
342
+ "step": 43
343
+ },
344
+ {
345
+ "epoch": 1.7382716049382716,
346
+ "grad_norm": 0.5790000557899475,
347
+ "learning_rate": 8.225859917710439e-05,
348
+ "loss": 0.1767,
349
+ "step": 44
350
+ },
351
+ {
352
+ "epoch": 1.7777777777777777,
353
+ "grad_norm": 0.7610799670219421,
354
+ "learning_rate": 8.117449009293668e-05,
355
+ "loss": 0.1541,
356
+ "step": 45
357
+ },
358
+ {
359
+ "epoch": 1.817283950617284,
360
+ "grad_norm": 0.5956255197525024,
361
+ "learning_rate": 8.006585456492029e-05,
362
+ "loss": 0.163,
363
+ "step": 46
364
+ },
365
+ {
366
+ "epoch": 1.8567901234567903,
367
+ "grad_norm": 0.5833412408828735,
368
+ "learning_rate": 7.89335648089903e-05,
369
+ "loss": 0.1345,
370
+ "step": 47
371
+ },
372
+ {
373
+ "epoch": 1.8962962962962964,
374
+ "grad_norm": 0.5361647605895996,
375
+ "learning_rate": 7.777851165098012e-05,
376
+ "loss": 0.1928,
377
+ "step": 48
378
+ },
379
+ {
380
+ "epoch": 1.9358024691358025,
381
+ "grad_norm": 0.5345762372016907,
382
+ "learning_rate": 7.660160382576683e-05,
383
+ "loss": 0.1687,
384
+ "step": 49
385
+ },
386
+ {
387
+ "epoch": 1.9753086419753085,
388
+ "grad_norm": 0.5725259184837341,
389
+ "learning_rate": 7.540376726232648e-05,
390
+ "loss": 0.1475,
391
+ "step": 50
392
+ },
393
+ {
394
+ "epoch": 1.9753086419753085,
395
+ "eval_loss": 0.17796014249324799,
396
+ "eval_runtime": 21.9669,
397
+ "eval_samples_per_second": 2.049,
398
+ "eval_steps_per_second": 2.049,
399
+ "step": 50
400
+ },
401
+ {
402
+ "epoch": 2.0148148148148146,
403
+ "grad_norm": 1.1865423917770386,
404
+ "learning_rate": 7.4185944355262e-05,
405
+ "loss": 0.2784,
406
+ "step": 51
407
+ },
408
+ {
409
+ "epoch": 2.054320987654321,
410
+ "grad_norm": 0.3902151584625244,
411
+ "learning_rate": 7.294909322337689e-05,
412
+ "loss": 0.1138,
413
+ "step": 52
414
+ },
415
+ {
416
+ "epoch": 2.093827160493827,
417
+ "grad_norm": 0.4235444664955139,
418
+ "learning_rate": 7.169418695587791e-05,
419
+ "loss": 0.0823,
420
+ "step": 53
421
+ },
422
+ {
423
+ "epoch": 2.1333333333333333,
424
+ "grad_norm": 0.5299235582351685,
425
+ "learning_rate": 7.042221284679982e-05,
426
+ "loss": 0.131,
427
+ "step": 54
428
+ },
429
+ {
430
+ "epoch": 2.1728395061728394,
431
+ "grad_norm": 0.49596738815307617,
432
+ "learning_rate": 6.91341716182545e-05,
433
+ "loss": 0.0977,
434
+ "step": 55
435
+ },
436
+ {
437
+ "epoch": 2.212345679012346,
438
+ "grad_norm": 0.49976620078086853,
439
+ "learning_rate": 6.783107663311565e-05,
440
+ "loss": 0.1321,
441
+ "step": 56
442
+ },
443
+ {
444
+ "epoch": 2.251851851851852,
445
+ "grad_norm": 0.49383699893951416,
446
+ "learning_rate": 6.651395309775837e-05,
447
+ "loss": 0.1059,
448
+ "step": 57
449
+ },
450
+ {
451
+ "epoch": 2.291358024691358,
452
+ "grad_norm": 0.49068155884742737,
453
+ "learning_rate": 6.518383725548074e-05,
454
+ "loss": 0.1514,
455
+ "step": 58
456
+ },
457
+ {
458
+ "epoch": 2.330864197530864,
459
+ "grad_norm": 0.5515344738960266,
460
+ "learning_rate": 6.384177557124247e-05,
461
+ "loss": 0.1363,
462
+ "step": 59
463
+ },
464
+ {
465
+ "epoch": 2.3703703703703702,
466
+ "grad_norm": 0.5593041777610779,
467
+ "learning_rate": 6.248882390836135e-05,
468
+ "loss": 0.1495,
469
+ "step": 60
470
+ },
471
+ {
472
+ "epoch": 2.3703703703703702,
473
+ "eval_loss": 0.17032824456691742,
474
+ "eval_runtime": 21.9739,
475
+ "eval_samples_per_second": 2.048,
476
+ "eval_steps_per_second": 2.048,
477
+ "step": 60
478
+ },
479
+ {
480
+ "epoch": 2.4098765432098768,
481
+ "grad_norm": 0.40486207604408264,
482
+ "learning_rate": 6.112604669781572e-05,
483
+ "loss": 0.0954,
484
+ "step": 61
485
+ },
486
+ {
487
+ "epoch": 2.449382716049383,
488
+ "grad_norm": 0.5411071181297302,
489
+ "learning_rate": 5.9754516100806423e-05,
490
+ "loss": 0.1011,
491
+ "step": 62
492
+ },
493
+ {
494
+ "epoch": 2.488888888888889,
495
+ "grad_norm": 0.5609597563743591,
496
+ "learning_rate": 5.837531116523682e-05,
497
+ "loss": 0.1167,
498
+ "step": 63
499
+ },
500
+ {
501
+ "epoch": 2.528395061728395,
502
+ "grad_norm": 0.568415641784668,
503
+ "learning_rate": 5.698951697677498e-05,
504
+ "loss": 0.0958,
505
+ "step": 64
506
+ },
507
+ {
508
+ "epoch": 2.567901234567901,
509
+ "grad_norm": 0.5101826190948486,
510
+ "learning_rate": 5.559822380516539e-05,
511
+ "loss": 0.1015,
512
+ "step": 65
513
+ },
514
+ {
515
+ "epoch": 2.6074074074074076,
516
+ "grad_norm": 0.4852781593799591,
517
+ "learning_rate": 5.420252624646238e-05,
518
+ "loss": 0.1167,
519
+ "step": 66
520
+ },
521
+ {
522
+ "epoch": 2.6469135802469137,
523
+ "grad_norm": 0.5387051701545715,
524
+ "learning_rate": 5.2803522361859594e-05,
525
+ "loss": 0.1038,
526
+ "step": 67
527
+ },
528
+ {
529
+ "epoch": 2.68641975308642,
530
+ "grad_norm": 0.4680575132369995,
531
+ "learning_rate": 5.140231281379345e-05,
532
+ "loss": 0.0768,
533
+ "step": 68
534
+ },
535
+ {
536
+ "epoch": 2.725925925925926,
537
+ "grad_norm": 0.6288416385650635,
538
+ "learning_rate": 5e-05,
539
+ "loss": 0.1365,
540
+ "step": 69
541
+ },
542
+ {
543
+ "epoch": 2.765432098765432,
544
+ "grad_norm": 0.5937770009040833,
545
+ "learning_rate": 4.859768718620656e-05,
546
+ "loss": 0.1039,
547
+ "step": 70
548
+ },
549
+ {
550
+ "epoch": 2.765432098765432,
551
+ "eval_loss": 0.17246553301811218,
552
+ "eval_runtime": 21.9715,
553
+ "eval_samples_per_second": 2.048,
554
+ "eval_steps_per_second": 2.048,
555
+ "step": 70
556
+ },
557
+ {
558
+ "epoch": 2.8049382716049385,
559
+ "grad_norm": 0.5549561381340027,
560
+ "learning_rate": 4.7196477638140404e-05,
561
+ "loss": 0.0944,
562
+ "step": 71
563
+ },
564
+ {
565
+ "epoch": 2.8444444444444446,
566
+ "grad_norm": 0.7670385837554932,
567
+ "learning_rate": 4.579747375353763e-05,
568
+ "loss": 0.1455,
569
+ "step": 72
570
+ },
571
+ {
572
+ "epoch": 2.8839506172839506,
573
+ "grad_norm": 0.6014059782028198,
574
+ "learning_rate": 4.4401776194834613e-05,
575
+ "loss": 0.1061,
576
+ "step": 73
577
+ },
578
+ {
579
+ "epoch": 2.9234567901234567,
580
+ "grad_norm": 0.6209520697593689,
581
+ "learning_rate": 4.3010483023225045e-05,
582
+ "loss": 0.1343,
583
+ "step": 74
584
+ },
585
+ {
586
+ "epoch": 2.962962962962963,
587
+ "grad_norm": 0.6865787506103516,
588
+ "learning_rate": 4.162468883476319e-05,
589
+ "loss": 0.1419,
590
+ "step": 75
591
+ },
592
+ {
593
+ "epoch": 3.0024691358024693,
594
+ "grad_norm": 1.1496647596359253,
595
+ "learning_rate": 4.0245483899193595e-05,
596
+ "loss": 0.1537,
597
+ "step": 76
598
+ },
599
+ {
600
+ "epoch": 3.0419753086419754,
601
+ "grad_norm": 0.47055432200431824,
602
+ "learning_rate": 3.887395330218429e-05,
603
+ "loss": 0.0762,
604
+ "step": 77
605
+ },
606
+ {
607
+ "epoch": 3.0814814814814815,
608
+ "grad_norm": 0.48365387320518494,
609
+ "learning_rate": 3.7511176091638653e-05,
610
+ "loss": 0.1097,
611
+ "step": 78
612
+ },
613
+ {
614
+ "epoch": 3.1209876543209876,
615
+ "grad_norm": 0.46377551555633545,
616
+ "learning_rate": 3.6158224428757535e-05,
617
+ "loss": 0.0793,
618
+ "step": 79
619
+ },
620
+ {
621
+ "epoch": 3.1604938271604937,
622
+ "grad_norm": 0.4647303819656372,
623
+ "learning_rate": 3.4816162744519263e-05,
624
+ "loss": 0.0745,
625
+ "step": 80
626
+ },
627
+ {
628
+ "epoch": 3.1604938271604937,
629
+ "eval_loss": 0.1666204035282135,
630
+ "eval_runtime": 21.9744,
631
+ "eval_samples_per_second": 2.048,
632
+ "eval_steps_per_second": 2.048,
633
+ "step": 80
634
+ },
635
+ {
636
+ "epoch": 3.2,
637
+ "grad_norm": 0.5422425866127014,
638
+ "learning_rate": 3.3486046902241664e-05,
639
+ "loss": 0.0784,
640
+ "step": 81
641
+ },
642
+ {
643
+ "epoch": 3.2395061728395063,
644
+ "grad_norm": 0.5297046899795532,
645
+ "learning_rate": 3.216892336688435e-05,
646
+ "loss": 0.0839,
647
+ "step": 82
648
+ },
649
+ {
650
+ "epoch": 3.2790123456790123,
651
+ "grad_norm": 0.5124645233154297,
652
+ "learning_rate": 3.086582838174551e-05,
653
+ "loss": 0.0675,
654
+ "step": 83
655
+ },
656
+ {
657
+ "epoch": 3.3185185185185184,
658
+ "grad_norm": 0.494450181722641,
659
+ "learning_rate": 2.9577787153200197e-05,
660
+ "loss": 0.081,
661
+ "step": 84
662
+ },
663
+ {
664
+ "epoch": 3.3580246913580245,
665
+ "grad_norm": 0.5631364583969116,
666
+ "learning_rate": 2.8305813044122097e-05,
667
+ "loss": 0.0965,
668
+ "step": 85
669
+ },
670
+ {
671
+ "epoch": 3.397530864197531,
672
+ "grad_norm": 0.4911467730998993,
673
+ "learning_rate": 2.705090677662311e-05,
674
+ "loss": 0.0818,
675
+ "step": 86
676
+ },
677
+ {
678
+ "epoch": 3.437037037037037,
679
+ "grad_norm": 0.675358772277832,
680
+ "learning_rate": 2.581405564473801e-05,
681
+ "loss": 0.095,
682
+ "step": 87
683
+ },
684
+ {
685
+ "epoch": 3.476543209876543,
686
+ "grad_norm": 0.4832693338394165,
687
+ "learning_rate": 2.459623273767354e-05,
688
+ "loss": 0.0627,
689
+ "step": 88
690
+ },
691
+ {
692
+ "epoch": 3.5160493827160493,
693
+ "grad_norm": 0.5909997820854187,
694
+ "learning_rate": 2.3398396174233178e-05,
695
+ "loss": 0.089,
696
+ "step": 89
697
+ },
698
+ {
699
+ "epoch": 3.5555555555555554,
700
+ "grad_norm": 0.5229184031486511,
701
+ "learning_rate": 2.2221488349019903e-05,
702
+ "loss": 0.0695,
703
+ "step": 90
704
+ },
705
+ {
706
+ "epoch": 3.5555555555555554,
707
+ "eval_loss": 0.1706753820180893,
708
+ "eval_runtime": 21.9828,
709
+ "eval_samples_per_second": 2.047,
710
+ "eval_steps_per_second": 2.047,
711
+ "step": 90
712
+ },
713
+ {
714
+ "epoch": 3.595061728395062,
715
+ "grad_norm": 0.49932220578193665,
716
+ "learning_rate": 2.1066435191009715e-05,
717
+ "loss": 0.0592,
718
+ "step": 91
719
+ },
720
+ {
721
+ "epoch": 3.634567901234568,
722
+ "grad_norm": 0.5896933078765869,
723
+ "learning_rate": 1.9934145435079702e-05,
724
+ "loss": 0.0659,
725
+ "step": 92
726
+ },
727
+ {
728
+ "epoch": 3.674074074074074,
729
+ "grad_norm": 0.5277208089828491,
730
+ "learning_rate": 1.8825509907063327e-05,
731
+ "loss": 0.0552,
732
+ "step": 93
733
+ },
734
+ {
735
+ "epoch": 3.71358024691358,
736
+ "grad_norm": 0.5943085551261902,
737
+ "learning_rate": 1.774140082289563e-05,
738
+ "loss": 0.1017,
739
+ "step": 94
740
+ },
741
+ {
742
+ "epoch": 3.753086419753086,
743
+ "grad_norm": 0.7712522745132446,
744
+ "learning_rate": 1.6682671102399805e-05,
745
+ "loss": 0.1155,
746
+ "step": 95
747
+ },
748
+ {
749
+ "epoch": 3.7925925925925927,
750
+ "grad_norm": 0.4662316143512726,
751
+ "learning_rate": 1.5650153698254916e-05,
752
+ "loss": 0.0601,
753
+ "step": 96
754
+ },
755
+ {
756
+ "epoch": 3.832098765432099,
757
+ "grad_norm": 0.6322402954101562,
758
+ "learning_rate": 1.4644660940672627e-05,
759
+ "loss": 0.1154,
760
+ "step": 97
761
+ },
762
+ {
763
+ "epoch": 3.871604938271605,
764
+ "grad_norm": 0.7817052602767944,
765
+ "learning_rate": 1.3666983898298657e-05,
766
+ "loss": 0.14,
767
+ "step": 98
768
+ },
769
+ {
770
+ "epoch": 3.911111111111111,
771
+ "grad_norm": 0.561113715171814,
772
+ "learning_rate": 1.2717891755841722e-05,
773
+ "loss": 0.0635,
774
+ "step": 99
775
+ },
776
+ {
777
+ "epoch": 3.950617283950617,
778
+ "grad_norm": 0.5774763226509094,
779
+ "learning_rate": 1.1798131208919627e-05,
780
+ "loss": 0.0591,
781
+ "step": 100
782
+ },
783
+ {
784
+ "epoch": 3.950617283950617,
785
+ "eval_loss": 0.1791609227657318,
786
+ "eval_runtime": 21.9667,
787
+ "eval_samples_per_second": 2.049,
788
+ "eval_steps_per_second": 2.049,
789
+ "step": 100
790
+ },
791
+ {
792
+ "epoch": 3.9901234567901236,
793
+ "grad_norm": 0.8871971368789673,
794
+ "learning_rate": 1.090842587659851e-05,
795
+ "loss": 0.0849,
796
+ "step": 101
797
+ },
798
+ {
799
+ "epoch": 4.029629629629629,
800
+ "grad_norm": 1.1692612171173096,
801
+ "learning_rate": 1.004947573208756e-05,
802
+ "loss": 0.1375,
803
+ "step": 102
804
+ },
805
+ {
806
+ "epoch": 4.069135802469136,
807
+ "grad_norm": 0.564195454120636,
808
+ "learning_rate": 9.221956552036992e-06,
809
+ "loss": 0.0687,
810
+ "step": 103
811
+ },
812
+ {
813
+ "epoch": 4.108641975308642,
814
+ "grad_norm": 0.4295189678668976,
815
+ "learning_rate": 8.426519384872733e-06,
816
+ "loss": 0.0476,
817
+ "step": 104
818
+ },
819
+ {
820
+ "epoch": 4.148148148148148,
821
+ "grad_norm": 0.558070957660675,
822
+ "learning_rate": 7.663790038585793e-06,
823
+ "loss": 0.0625,
824
+ "step": 105
825
+ },
826
+ {
827
+ "epoch": 4.187654320987654,
828
+ "grad_norm": 0.4711402356624603,
829
+ "learning_rate": 6.934368588379553e-06,
830
+ "loss": 0.0706,
831
+ "step": 106
832
+ },
833
+ {
834
+ "epoch": 4.22716049382716,
835
+ "grad_norm": 0.7063688039779663,
836
+ "learning_rate": 6.238828904562316e-06,
837
+ "loss": 0.0614,
838
+ "step": 107
839
+ },
840
+ {
841
+ "epoch": 4.266666666666667,
842
+ "grad_norm": 0.49132922291755676,
843
+ "learning_rate": 5.577718201056392e-06,
844
+ "loss": 0.0672,
845
+ "step": 108
846
+ },
847
+ {
848
+ "epoch": 4.306172839506173,
849
+ "grad_norm": 0.6347060203552246,
850
+ "learning_rate": 4.951556604879048e-06,
851
+ "loss": 0.0792,
852
+ "step": 109
853
+ },
854
+ {
855
+ "epoch": 4.345679012345679,
856
+ "grad_norm": 0.4597353935241699,
857
+ "learning_rate": 4.360836746934055e-06,
858
+ "loss": 0.0568,
859
+ "step": 110
860
+ },
861
+ {
862
+ "epoch": 4.345679012345679,
863
+ "eval_loss": 0.17797401547431946,
864
+ "eval_runtime": 21.968,
865
+ "eval_samples_per_second": 2.048,
866
+ "eval_steps_per_second": 2.048,
867
+ "step": 110
868
+ },
869
+ {
870
+ "epoch": 4.385185185185185,
871
+ "grad_norm": 0.4777275621891022,
872
+ "learning_rate": 3.8060233744356633e-06,
873
+ "loss": 0.0515,
874
+ "step": 111
875
+ },
876
+ {
877
+ "epoch": 4.424691358024692,
878
+ "grad_norm": 0.7299063801765442,
879
+ "learning_rate": 3.2875529852700147e-06,
880
+ "loss": 0.1076,
881
+ "step": 112
882
+ },
883
+ {
884
+ "epoch": 4.4641975308641975,
885
+ "grad_norm": 0.5107489824295044,
886
+ "learning_rate": 2.8058334845816213e-06,
887
+ "loss": 0.0668,
888
+ "step": 113
889
+ },
890
+ {
891
+ "epoch": 4.503703703703704,
892
+ "grad_norm": 0.5860312581062317,
893
+ "learning_rate": 2.361243863855184e-06,
894
+ "loss": 0.0701,
895
+ "step": 114
896
+ },
897
+ {
898
+ "epoch": 4.54320987654321,
899
+ "grad_norm": 0.6165737509727478,
900
+ "learning_rate": 1.9541339027450256e-06,
901
+ "loss": 0.0742,
902
+ "step": 115
903
+ },
904
+ {
905
+ "epoch": 4.582716049382716,
906
+ "grad_norm": 0.554375410079956,
907
+ "learning_rate": 1.584823893886933e-06,
908
+ "loss": 0.05,
909
+ "step": 116
910
+ },
911
+ {
912
+ "epoch": 4.622222222222222,
913
+ "grad_norm": 0.617376446723938,
914
+ "learning_rate": 1.2536043909088191e-06,
915
+ "loss": 0.0717,
916
+ "step": 117
917
+ },
918
+ {
919
+ "epoch": 4.661728395061728,
920
+ "grad_norm": 0.7092514038085938,
921
+ "learning_rate": 9.607359798384785e-07,
922
+ "loss": 0.1007,
923
+ "step": 118
924
+ },
925
+ {
926
+ "epoch": 4.701234567901235,
927
+ "grad_norm": 0.5481498837471008,
928
+ "learning_rate": 7.064490740882057e-07,
929
+ "loss": 0.0704,
930
+ "step": 119
931
+ },
932
+ {
933
+ "epoch": 4.7407407407407405,
934
+ "grad_norm": 0.5922465920448303,
935
+ "learning_rate": 4.909437331777179e-07,
936
+ "loss": 0.0763,
937
+ "step": 120
938
+ },
939
+ {
940
+ "epoch": 4.7407407407407405,
941
+ "eval_loss": 0.17861603200435638,
942
+ "eval_runtime": 21.9719,
943
+ "eval_samples_per_second": 2.048,
944
+ "eval_steps_per_second": 2.048,
945
+ "step": 120
946
+ },
947
+ {
948
+ "epoch": 4.780246913580247,
949
+ "grad_norm": 0.5411617159843445,
950
+ "learning_rate": 3.143895053378698e-07,
951
+ "loss": 0.0703,
952
+ "step": 121
953
+ },
954
+ {
955
+ "epoch": 4.8197530864197535,
956
+ "grad_norm": 0.5783974528312683,
957
+ "learning_rate": 1.7692529411904578e-07,
958
+ "loss": 0.0596,
959
+ "step": 122
960
+ },
961
+ {
962
+ "epoch": 4.859259259259259,
963
+ "grad_norm": 0.7459236979484558,
964
+ "learning_rate": 7.865924910916977e-08,
965
+ "loss": 0.0596,
966
+ "step": 123
967
+ },
968
+ {
969
+ "epoch": 4.898765432098766,
970
+ "grad_norm": 0.5713012218475342,
971
+ "learning_rate": 1.9668680847356735e-08,
972
+ "loss": 0.0833,
973
+ "step": 124
974
+ },
975
+ {
976
+ "epoch": 4.938271604938271,
977
+ "grad_norm": 0.4777219593524933,
978
+ "learning_rate": 0.0,
979
+ "loss": 0.0533,
980
+ "step": 125
981
+ },
982
+ {
983
+ "epoch": 4.938271604938271,
984
+ "step": 125,
985
+ "total_flos": 1.2544994631765197e+17,
986
+ "train_loss": 0.20047055861353874,
987
+ "train_runtime": 3505.2142,
988
+ "train_samples_per_second": 0.578,
989
+ "train_steps_per_second": 0.036
990
+ }
991
+ ],
992
+ "logging_steps": 1,
993
+ "max_steps": 125,
994
+ "num_input_tokens_seen": 0,
995
+ "num_train_epochs": 5,
996
+ "save_steps": 10,
997
+ "stateful_callbacks": {
998
+ "TrainerControl": {
999
+ "args": {
1000
+ "should_epoch_stop": false,
1001
+ "should_evaluate": false,
1002
+ "should_log": false,
1003
+ "should_save": true,
1004
+ "should_training_stop": true
1005
+ },
1006
+ "attributes": {}
1007
+ }
1008
+ },
1009
+ "total_flos": 1.2544994631765197e+17,
1010
+ "train_batch_size": 1,
1011
+ "trial_name": null,
1012
+ "trial_params": null
1013
+ }
training_eval_loss.png ADDED
training_loss.png ADDED