chchen commited on
Commit
dd724fd
·
verified ·
1 Parent(s): 9404a04

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: other
4
  base_model: mistralai/Ministral-8B-Instruct-2410
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: Ministral-8B-Instruct-2410-PsyCourse-doc-info-fold8
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Ministral-8B-Instruct-2410-PsyCourse-doc-info-fold8
17
 
18
- This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.0502
21
 
 
4
  base_model: mistralai/Ministral-8B-Instruct-2410
5
  tags:
6
  - llama-factory
7
+ - lora
8
  - generated_from_trainer
9
  model-index:
10
  - name: Ministral-8B-Instruct-2410-PsyCourse-doc-info-fold8
 
16
 
17
  # Ministral-8B-Instruct-2410-PsyCourse-doc-info-fold8
18
 
19
+ This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on the course-doc-info-train-fold8 dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.0502
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.938271604938271,
3
+ "eval_loss": 0.05018164962530136,
4
+ "eval_runtime": 28.7907,
5
+ "eval_samples_per_second": 1.563,
6
+ "eval_steps_per_second": 1.563,
7
+ "total_flos": 1.743556468483031e+17,
8
+ "train_loss": 0.07543200919032098,
9
+ "train_runtime": 5142.0517,
10
+ "train_samples_per_second": 0.394,
11
+ "train_steps_per_second": 0.024
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.938271604938271,
3
+ "eval_loss": 0.05018164962530136,
4
+ "eval_runtime": 28.7907,
5
+ "eval_samples_per_second": 1.563,
6
+ "eval_steps_per_second": 1.563
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.938271604938271,
3
+ "total_flos": 1.743556468483031e+17,
4
+ "train_loss": 0.07543200919032098,
5
+ "train_runtime": 5142.0517,
6
+ "train_samples_per_second": 0.394,
7
+ "train_steps_per_second": 0.024
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.05018164962530136,
3
+ "best_model_checkpoint": "saves/psy-course-doc-info/Ministral-8B-Instruct-2410/train/fold8/checkpoint-110",
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": 0.6986701488494873,
14
+ "learning_rate": 7.692307692307694e-06,
15
+ "loss": 0.3512,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.07901234567901234,
20
+ "grad_norm": 0.7088757753372192,
21
+ "learning_rate": 1.5384615384615387e-05,
22
+ "loss": 0.3588,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.11851851851851852,
27
+ "grad_norm": 0.8064380884170532,
28
+ "learning_rate": 2.307692307692308e-05,
29
+ "loss": 0.3718,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.1580246913580247,
34
+ "grad_norm": 0.7222112417221069,
35
+ "learning_rate": 3.0769230769230774e-05,
36
+ "loss": 0.3595,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.19753086419753085,
41
+ "grad_norm": 0.6226270794868469,
42
+ "learning_rate": 3.846153846153846e-05,
43
+ "loss": 0.3219,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.23703703703703705,
48
+ "grad_norm": 0.6451139450073242,
49
+ "learning_rate": 4.615384615384616e-05,
50
+ "loss": 0.3117,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.2765432098765432,
55
+ "grad_norm": 0.4552927315235138,
56
+ "learning_rate": 5.384615384615385e-05,
57
+ "loss": 0.2792,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.3160493827160494,
62
+ "grad_norm": 0.4108279347419739,
63
+ "learning_rate": 6.153846153846155e-05,
64
+ "loss": 0.2616,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.35555555555555557,
69
+ "grad_norm": 0.49120235443115234,
70
+ "learning_rate": 6.923076923076924e-05,
71
+ "loss": 0.2405,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.3950617283950617,
76
+ "grad_norm": 0.634235680103302,
77
+ "learning_rate": 7.692307692307693e-05,
78
+ "loss": 0.2346,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.3950617283950617,
83
+ "eval_loss": 0.22451305389404297,
84
+ "eval_runtime": 29.4003,
85
+ "eval_samples_per_second": 1.531,
86
+ "eval_steps_per_second": 1.531,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.4345679012345679,
91
+ "grad_norm": 0.6467899680137634,
92
+ "learning_rate": 8.461538461538461e-05,
93
+ "loss": 0.2449,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.4740740740740741,
98
+ "grad_norm": 0.5100688338279724,
99
+ "learning_rate": 9.230769230769232e-05,
100
+ "loss": 0.213,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.5135802469135803,
105
+ "grad_norm": 0.48423299193382263,
106
+ "learning_rate": 0.0001,
107
+ "loss": 0.1846,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.5530864197530864,
112
+ "grad_norm": 0.4744335114955902,
113
+ "learning_rate": 9.998033131915266e-05,
114
+ "loss": 0.1631,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.5925925925925926,
119
+ "grad_norm": 0.4236028492450714,
120
+ "learning_rate": 9.992134075089084e-05,
121
+ "loss": 0.1391,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.6320987654320988,
126
+ "grad_norm": 0.46361225843429565,
127
+ "learning_rate": 9.982307470588098e-05,
128
+ "loss": 0.137,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.671604938271605,
133
+ "grad_norm": 0.6843778491020203,
134
+ "learning_rate": 9.968561049466214e-05,
135
+ "loss": 0.1323,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.7111111111111111,
140
+ "grad_norm": 0.3910984396934509,
141
+ "learning_rate": 9.950905626682228e-05,
142
+ "loss": 0.1141,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.7506172839506173,
147
+ "grad_norm": 0.464354008436203,
148
+ "learning_rate": 9.92935509259118e-05,
149
+ "loss": 0.1178,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.7901234567901234,
154
+ "grad_norm": 0.45064210891723633,
155
+ "learning_rate": 9.903926402016153e-05,
156
+ "loss": 0.1064,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.7901234567901234,
161
+ "eval_loss": 0.10692152380943298,
162
+ "eval_runtime": 29.2333,
163
+ "eval_samples_per_second": 1.539,
164
+ "eval_steps_per_second": 1.539,
165
+ "step": 20
166
+ },
167
+ {
168
+ "epoch": 0.8296296296296296,
169
+ "grad_norm": 0.5124718546867371,
170
+ "learning_rate": 9.874639560909117e-05,
171
+ "loss": 0.1217,
172
+ "step": 21
173
+ },
174
+ {
175
+ "epoch": 0.8691358024691358,
176
+ "grad_norm": 0.4468311667442322,
177
+ "learning_rate": 9.841517610611309e-05,
178
+ "loss": 0.097,
179
+ "step": 22
180
+ },
181
+ {
182
+ "epoch": 0.908641975308642,
183
+ "grad_norm": 0.3930855095386505,
184
+ "learning_rate": 9.804586609725499e-05,
185
+ "loss": 0.0871,
186
+ "step": 23
187
+ },
188
+ {
189
+ "epoch": 0.9481481481481482,
190
+ "grad_norm": 0.44672492146492004,
191
+ "learning_rate": 9.763875613614482e-05,
192
+ "loss": 0.1053,
193
+ "step": 24
194
+ },
195
+ {
196
+ "epoch": 0.9876543209876543,
197
+ "grad_norm": 0.3032624125480652,
198
+ "learning_rate": 9.719416651541839e-05,
199
+ "loss": 0.0961,
200
+ "step": 25
201
+ },
202
+ {
203
+ "epoch": 1.0271604938271606,
204
+ "grad_norm": 0.3262697756290436,
205
+ "learning_rate": 9.671244701472999e-05,
206
+ "loss": 0.0775,
207
+ "step": 26
208
+ },
209
+ {
210
+ "epoch": 1.0666666666666667,
211
+ "grad_norm": 0.30042222142219543,
212
+ "learning_rate": 9.619397662556435e-05,
213
+ "loss": 0.0706,
214
+ "step": 27
215
+ },
216
+ {
217
+ "epoch": 1.106172839506173,
218
+ "grad_norm": 0.26015129685401917,
219
+ "learning_rate": 9.563916325306594e-05,
220
+ "loss": 0.0815,
221
+ "step": 28
222
+ },
223
+ {
224
+ "epoch": 1.145679012345679,
225
+ "grad_norm": 0.38614243268966675,
226
+ "learning_rate": 9.504844339512095e-05,
227
+ "loss": 0.0786,
228
+ "step": 29
229
+ },
230
+ {
231
+ "epoch": 1.1851851851851851,
232
+ "grad_norm": 0.2820267081260681,
233
+ "learning_rate": 9.442228179894362e-05,
234
+ "loss": 0.0661,
235
+ "step": 30
236
+ },
237
+ {
238
+ "epoch": 1.1851851851851851,
239
+ "eval_loss": 0.0779971331357956,
240
+ "eval_runtime": 29.2289,
241
+ "eval_samples_per_second": 1.54,
242
+ "eval_steps_per_second": 1.54,
243
+ "step": 30
244
+ },
245
+ {
246
+ "epoch": 1.2246913580246914,
247
+ "grad_norm": 0.31274303793907166,
248
+ "learning_rate": 9.376117109543769e-05,
249
+ "loss": 0.0675,
250
+ "step": 31
251
+ },
252
+ {
253
+ "epoch": 1.2641975308641975,
254
+ "grad_norm": 0.31122153997421265,
255
+ "learning_rate": 9.306563141162046e-05,
256
+ "loss": 0.0717,
257
+ "step": 32
258
+ },
259
+ {
260
+ "epoch": 1.3037037037037038,
261
+ "grad_norm": 0.4171571433544159,
262
+ "learning_rate": 9.233620996141421e-05,
263
+ "loss": 0.0705,
264
+ "step": 33
265
+ },
266
+ {
267
+ "epoch": 1.34320987654321,
268
+ "grad_norm": 0.39130330085754395,
269
+ "learning_rate": 9.157348061512727e-05,
270
+ "loss": 0.0643,
271
+ "step": 34
272
+ },
273
+ {
274
+ "epoch": 1.382716049382716,
275
+ "grad_norm": 0.26237934827804565,
276
+ "learning_rate": 9.077804344796302e-05,
277
+ "loss": 0.0685,
278
+ "step": 35
279
+ },
280
+ {
281
+ "epoch": 1.4222222222222223,
282
+ "grad_norm": 0.3337700366973877,
283
+ "learning_rate": 8.995052426791247e-05,
284
+ "loss": 0.0599,
285
+ "step": 36
286
+ },
287
+ {
288
+ "epoch": 1.4617283950617284,
289
+ "grad_norm": 0.34181517362594604,
290
+ "learning_rate": 8.90915741234015e-05,
291
+ "loss": 0.0605,
292
+ "step": 37
293
+ },
294
+ {
295
+ "epoch": 1.5012345679012347,
296
+ "grad_norm": 0.4122283160686493,
297
+ "learning_rate": 8.820186879108038e-05,
298
+ "loss": 0.0659,
299
+ "step": 38
300
+ },
301
+ {
302
+ "epoch": 1.5407407407407407,
303
+ "grad_norm": 0.392880380153656,
304
+ "learning_rate": 8.728210824415827e-05,
305
+ "loss": 0.0681,
306
+ "step": 39
307
+ },
308
+ {
309
+ "epoch": 1.5802469135802468,
310
+ "grad_norm": 0.3869952857494354,
311
+ "learning_rate": 8.633301610170135e-05,
312
+ "loss": 0.0574,
313
+ "step": 40
314
+ },
315
+ {
316
+ "epoch": 1.5802469135802468,
317
+ "eval_loss": 0.06701873987913132,
318
+ "eval_runtime": 29.226,
319
+ "eval_samples_per_second": 1.54,
320
+ "eval_steps_per_second": 1.54,
321
+ "step": 40
322
+ },
323
+ {
324
+ "epoch": 1.6197530864197531,
325
+ "grad_norm": 0.3228525221347809,
326
+ "learning_rate": 8.535533905932738e-05,
327
+ "loss": 0.0736,
328
+ "step": 41
329
+ },
330
+ {
331
+ "epoch": 1.6592592592592592,
332
+ "grad_norm": 0.380230188369751,
333
+ "learning_rate": 8.434984630174509e-05,
334
+ "loss": 0.0485,
335
+ "step": 42
336
+ },
337
+ {
338
+ "epoch": 1.6987654320987655,
339
+ "grad_norm": 0.23963190615177155,
340
+ "learning_rate": 8.33173288976002e-05,
341
+ "loss": 0.0603,
342
+ "step": 43
343
+ },
344
+ {
345
+ "epoch": 1.7382716049382716,
346
+ "grad_norm": 0.2060232162475586,
347
+ "learning_rate": 8.225859917710439e-05,
348
+ "loss": 0.0528,
349
+ "step": 44
350
+ },
351
+ {
352
+ "epoch": 1.7777777777777777,
353
+ "grad_norm": 0.32117360830307007,
354
+ "learning_rate": 8.117449009293668e-05,
355
+ "loss": 0.0547,
356
+ "step": 45
357
+ },
358
+ {
359
+ "epoch": 1.817283950617284,
360
+ "grad_norm": 0.2599658668041229,
361
+ "learning_rate": 8.006585456492029e-05,
362
+ "loss": 0.0527,
363
+ "step": 46
364
+ },
365
+ {
366
+ "epoch": 1.8567901234567903,
367
+ "grad_norm": 0.2622724771499634,
368
+ "learning_rate": 7.89335648089903e-05,
369
+ "loss": 0.0671,
370
+ "step": 47
371
+ },
372
+ {
373
+ "epoch": 1.8962962962962964,
374
+ "grad_norm": 0.23480120301246643,
375
+ "learning_rate": 7.777851165098012e-05,
376
+ "loss": 0.0539,
377
+ "step": 48
378
+ },
379
+ {
380
+ "epoch": 1.9358024691358025,
381
+ "grad_norm": 0.2417857050895691,
382
+ "learning_rate": 7.660160382576683e-05,
383
+ "loss": 0.0603,
384
+ "step": 49
385
+ },
386
+ {
387
+ "epoch": 1.9753086419753085,
388
+ "grad_norm": 0.2173357754945755,
389
+ "learning_rate": 7.540376726232648e-05,
390
+ "loss": 0.0454,
391
+ "step": 50
392
+ },
393
+ {
394
+ "epoch": 1.9753086419753085,
395
+ "eval_loss": 0.05982673540711403,
396
+ "eval_runtime": 29.235,
397
+ "eval_samples_per_second": 1.539,
398
+ "eval_steps_per_second": 1.539,
399
+ "step": 50
400
+ },
401
+ {
402
+ "epoch": 2.0148148148148146,
403
+ "grad_norm": 0.22790434956550598,
404
+ "learning_rate": 7.4185944355262e-05,
405
+ "loss": 0.0492,
406
+ "step": 51
407
+ },
408
+ {
409
+ "epoch": 2.054320987654321,
410
+ "grad_norm": 0.24523094296455383,
411
+ "learning_rate": 7.294909322337689e-05,
412
+ "loss": 0.0436,
413
+ "step": 52
414
+ },
415
+ {
416
+ "epoch": 2.093827160493827,
417
+ "grad_norm": 0.172611802816391,
418
+ "learning_rate": 7.169418695587791e-05,
419
+ "loss": 0.0382,
420
+ "step": 53
421
+ },
422
+ {
423
+ "epoch": 2.1333333333333333,
424
+ "grad_norm": 0.19519709050655365,
425
+ "learning_rate": 7.042221284679982e-05,
426
+ "loss": 0.0482,
427
+ "step": 54
428
+ },
429
+ {
430
+ "epoch": 2.1728395061728394,
431
+ "grad_norm": 0.29516759514808655,
432
+ "learning_rate": 6.91341716182545e-05,
433
+ "loss": 0.0428,
434
+ "step": 55
435
+ },
436
+ {
437
+ "epoch": 2.212345679012346,
438
+ "grad_norm": 0.3404478132724762,
439
+ "learning_rate": 6.783107663311565e-05,
440
+ "loss": 0.0378,
441
+ "step": 56
442
+ },
443
+ {
444
+ "epoch": 2.251851851851852,
445
+ "grad_norm": 0.20548518002033234,
446
+ "learning_rate": 6.651395309775837e-05,
447
+ "loss": 0.0421,
448
+ "step": 57
449
+ },
450
+ {
451
+ "epoch": 2.291358024691358,
452
+ "grad_norm": 0.27528247237205505,
453
+ "learning_rate": 6.518383725548074e-05,
454
+ "loss": 0.0414,
455
+ "step": 58
456
+ },
457
+ {
458
+ "epoch": 2.330864197530864,
459
+ "grad_norm": 0.23328714072704315,
460
+ "learning_rate": 6.384177557124247e-05,
461
+ "loss": 0.0482,
462
+ "step": 59
463
+ },
464
+ {
465
+ "epoch": 2.3703703703703702,
466
+ "grad_norm": 0.20340496301651,
467
+ "learning_rate": 6.248882390836135e-05,
468
+ "loss": 0.0416,
469
+ "step": 60
470
+ },
471
+ {
472
+ "epoch": 2.3703703703703702,
473
+ "eval_loss": 0.05630980432033539,
474
+ "eval_runtime": 29.2424,
475
+ "eval_samples_per_second": 1.539,
476
+ "eval_steps_per_second": 1.539,
477
+ "step": 60
478
+ },
479
+ {
480
+ "epoch": 2.4098765432098768,
481
+ "grad_norm": 0.23710526525974274,
482
+ "learning_rate": 6.112604669781572e-05,
483
+ "loss": 0.0396,
484
+ "step": 61
485
+ },
486
+ {
487
+ "epoch": 2.449382716049383,
488
+ "grad_norm": 0.21828940510749817,
489
+ "learning_rate": 5.9754516100806423e-05,
490
+ "loss": 0.04,
491
+ "step": 62
492
+ },
493
+ {
494
+ "epoch": 2.488888888888889,
495
+ "grad_norm": 0.24057340621948242,
496
+ "learning_rate": 5.837531116523682e-05,
497
+ "loss": 0.0486,
498
+ "step": 63
499
+ },
500
+ {
501
+ "epoch": 2.528395061728395,
502
+ "grad_norm": 0.24865029752254486,
503
+ "learning_rate": 5.698951697677498e-05,
504
+ "loss": 0.0442,
505
+ "step": 64
506
+ },
507
+ {
508
+ "epoch": 2.567901234567901,
509
+ "grad_norm": 0.2211083471775055,
510
+ "learning_rate": 5.559822380516539e-05,
511
+ "loss": 0.0483,
512
+ "step": 65
513
+ },
514
+ {
515
+ "epoch": 2.6074074074074076,
516
+ "grad_norm": 0.21438068151474,
517
+ "learning_rate": 5.420252624646238e-05,
518
+ "loss": 0.0517,
519
+ "step": 66
520
+ },
521
+ {
522
+ "epoch": 2.6469135802469137,
523
+ "grad_norm": 0.2499130219221115,
524
+ "learning_rate": 5.2803522361859594e-05,
525
+ "loss": 0.0482,
526
+ "step": 67
527
+ },
528
+ {
529
+ "epoch": 2.68641975308642,
530
+ "grad_norm": 0.1926133632659912,
531
+ "learning_rate": 5.140231281379345e-05,
532
+ "loss": 0.0348,
533
+ "step": 68
534
+ },
535
+ {
536
+ "epoch": 2.725925925925926,
537
+ "grad_norm": 0.18554463982582092,
538
+ "learning_rate": 5e-05,
539
+ "loss": 0.0384,
540
+ "step": 69
541
+ },
542
+ {
543
+ "epoch": 2.765432098765432,
544
+ "grad_norm": 0.22229990363121033,
545
+ "learning_rate": 4.859768718620656e-05,
546
+ "loss": 0.0462,
547
+ "step": 70
548
+ },
549
+ {
550
+ "epoch": 2.765432098765432,
551
+ "eval_loss": 0.05303001031279564,
552
+ "eval_runtime": 29.236,
553
+ "eval_samples_per_second": 1.539,
554
+ "eval_steps_per_second": 1.539,
555
+ "step": 70
556
+ },
557
+ {
558
+ "epoch": 2.8049382716049385,
559
+ "grad_norm": 0.302468866109848,
560
+ "learning_rate": 4.7196477638140404e-05,
561
+ "loss": 0.0434,
562
+ "step": 71
563
+ },
564
+ {
565
+ "epoch": 2.8444444444444446,
566
+ "grad_norm": 0.2213534712791443,
567
+ "learning_rate": 4.579747375353763e-05,
568
+ "loss": 0.0394,
569
+ "step": 72
570
+ },
571
+ {
572
+ "epoch": 2.8839506172839506,
573
+ "grad_norm": 0.21534393727779388,
574
+ "learning_rate": 4.4401776194834613e-05,
575
+ "loss": 0.0414,
576
+ "step": 73
577
+ },
578
+ {
579
+ "epoch": 2.9234567901234567,
580
+ "grad_norm": 0.26027560234069824,
581
+ "learning_rate": 4.3010483023225045e-05,
582
+ "loss": 0.0428,
583
+ "step": 74
584
+ },
585
+ {
586
+ "epoch": 2.962962962962963,
587
+ "grad_norm": 0.2458033412694931,
588
+ "learning_rate": 4.162468883476319e-05,
589
+ "loss": 0.0383,
590
+ "step": 75
591
+ },
592
+ {
593
+ "epoch": 3.0024691358024693,
594
+ "grad_norm": 0.17401082813739777,
595
+ "learning_rate": 4.0245483899193595e-05,
596
+ "loss": 0.0394,
597
+ "step": 76
598
+ },
599
+ {
600
+ "epoch": 3.0419753086419754,
601
+ "grad_norm": 0.15630896389484406,
602
+ "learning_rate": 3.887395330218429e-05,
603
+ "loss": 0.0317,
604
+ "step": 77
605
+ },
606
+ {
607
+ "epoch": 3.0814814814814815,
608
+ "grad_norm": 0.16098880767822266,
609
+ "learning_rate": 3.7511176091638653e-05,
610
+ "loss": 0.0267,
611
+ "step": 78
612
+ },
613
+ {
614
+ "epoch": 3.1209876543209876,
615
+ "grad_norm": 0.21407581865787506,
616
+ "learning_rate": 3.6158224428757535e-05,
617
+ "loss": 0.0345,
618
+ "step": 79
619
+ },
620
+ {
621
+ "epoch": 3.1604938271604937,
622
+ "grad_norm": 0.18872970342636108,
623
+ "learning_rate": 3.4816162744519263e-05,
624
+ "loss": 0.0333,
625
+ "step": 80
626
+ },
627
+ {
628
+ "epoch": 3.1604938271604937,
629
+ "eval_loss": 0.05208759754896164,
630
+ "eval_runtime": 29.23,
631
+ "eval_samples_per_second": 1.54,
632
+ "eval_steps_per_second": 1.54,
633
+ "step": 80
634
+ },
635
+ {
636
+ "epoch": 3.2,
637
+ "grad_norm": 0.18860113620758057,
638
+ "learning_rate": 3.3486046902241664e-05,
639
+ "loss": 0.0355,
640
+ "step": 81
641
+ },
642
+ {
643
+ "epoch": 3.2395061728395063,
644
+ "grad_norm": 0.19854336977005005,
645
+ "learning_rate": 3.216892336688435e-05,
646
+ "loss": 0.0355,
647
+ "step": 82
648
+ },
649
+ {
650
+ "epoch": 3.2790123456790123,
651
+ "grad_norm": 0.19552765786647797,
652
+ "learning_rate": 3.086582838174551e-05,
653
+ "loss": 0.0319,
654
+ "step": 83
655
+ },
656
+ {
657
+ "epoch": 3.3185185185185184,
658
+ "grad_norm": 0.17172157764434814,
659
+ "learning_rate": 2.9577787153200197e-05,
660
+ "loss": 0.0312,
661
+ "step": 84
662
+ },
663
+ {
664
+ "epoch": 3.3580246913580245,
665
+ "grad_norm": 0.16564936935901642,
666
+ "learning_rate": 2.8305813044122097e-05,
667
+ "loss": 0.032,
668
+ "step": 85
669
+ },
670
+ {
671
+ "epoch": 3.397530864197531,
672
+ "grad_norm": 0.19835302233695984,
673
+ "learning_rate": 2.705090677662311e-05,
674
+ "loss": 0.0392,
675
+ "step": 86
676
+ },
677
+ {
678
+ "epoch": 3.437037037037037,
679
+ "grad_norm": 0.24695785343647003,
680
+ "learning_rate": 2.581405564473801e-05,
681
+ "loss": 0.0372,
682
+ "step": 87
683
+ },
684
+ {
685
+ "epoch": 3.476543209876543,
686
+ "grad_norm": 0.1902298927307129,
687
+ "learning_rate": 2.459623273767354e-05,
688
+ "loss": 0.0335,
689
+ "step": 88
690
+ },
691
+ {
692
+ "epoch": 3.5160493827160493,
693
+ "grad_norm": 0.23312592506408691,
694
+ "learning_rate": 2.3398396174233178e-05,
695
+ "loss": 0.0359,
696
+ "step": 89
697
+ },
698
+ {
699
+ "epoch": 3.5555555555555554,
700
+ "grad_norm": 0.2210913747549057,
701
+ "learning_rate": 2.2221488349019903e-05,
702
+ "loss": 0.0389,
703
+ "step": 90
704
+ },
705
+ {
706
+ "epoch": 3.5555555555555554,
707
+ "eval_loss": 0.05143319070339203,
708
+ "eval_runtime": 29.2368,
709
+ "eval_samples_per_second": 1.539,
710
+ "eval_steps_per_second": 1.539,
711
+ "step": 90
712
+ },
713
+ {
714
+ "epoch": 3.595061728395062,
715
+ "grad_norm": 0.21577894687652588,
716
+ "learning_rate": 2.1066435191009715e-05,
717
+ "loss": 0.0362,
718
+ "step": 91
719
+ },
720
+ {
721
+ "epoch": 3.634567901234568,
722
+ "grad_norm": 0.19230662286281586,
723
+ "learning_rate": 1.9934145435079702e-05,
724
+ "loss": 0.0318,
725
+ "step": 92
726
+ },
727
+ {
728
+ "epoch": 3.674074074074074,
729
+ "grad_norm": 0.20312044024467468,
730
+ "learning_rate": 1.8825509907063327e-05,
731
+ "loss": 0.0302,
732
+ "step": 93
733
+ },
734
+ {
735
+ "epoch": 3.71358024691358,
736
+ "grad_norm": 0.2292894870042801,
737
+ "learning_rate": 1.774140082289563e-05,
738
+ "loss": 0.0397,
739
+ "step": 94
740
+ },
741
+ {
742
+ "epoch": 3.753086419753086,
743
+ "grad_norm": 0.3409978151321411,
744
+ "learning_rate": 1.6682671102399805e-05,
745
+ "loss": 0.0318,
746
+ "step": 95
747
+ },
748
+ {
749
+ "epoch": 3.7925925925925927,
750
+ "grad_norm": 0.1991758942604065,
751
+ "learning_rate": 1.5650153698254916e-05,
752
+ "loss": 0.0255,
753
+ "step": 96
754
+ },
755
+ {
756
+ "epoch": 3.832098765432099,
757
+ "grad_norm": 0.1859804391860962,
758
+ "learning_rate": 1.4644660940672627e-05,
759
+ "loss": 0.0338,
760
+ "step": 97
761
+ },
762
+ {
763
+ "epoch": 3.871604938271605,
764
+ "grad_norm": 0.3077707290649414,
765
+ "learning_rate": 1.3666983898298657e-05,
766
+ "loss": 0.0348,
767
+ "step": 98
768
+ },
769
+ {
770
+ "epoch": 3.911111111111111,
771
+ "grad_norm": 0.174801304936409,
772
+ "learning_rate": 1.2717891755841722e-05,
773
+ "loss": 0.028,
774
+ "step": 99
775
+ },
776
+ {
777
+ "epoch": 3.950617283950617,
778
+ "grad_norm": 0.196518212556839,
779
+ "learning_rate": 1.1798131208919627e-05,
780
+ "loss": 0.0338,
781
+ "step": 100
782
+ },
783
+ {
784
+ "epoch": 3.950617283950617,
785
+ "eval_loss": 0.0505523718893528,
786
+ "eval_runtime": 29.2378,
787
+ "eval_samples_per_second": 1.539,
788
+ "eval_steps_per_second": 1.539,
789
+ "step": 100
790
+ },
791
+ {
792
+ "epoch": 3.9901234567901236,
793
+ "grad_norm": 0.20451030135154724,
794
+ "learning_rate": 1.090842587659851e-05,
795
+ "loss": 0.0377,
796
+ "step": 101
797
+ },
798
+ {
799
+ "epoch": 4.029629629629629,
800
+ "grad_norm": 0.17839042842388153,
801
+ "learning_rate": 1.004947573208756e-05,
802
+ "loss": 0.0314,
803
+ "step": 102
804
+ },
805
+ {
806
+ "epoch": 4.069135802469136,
807
+ "grad_norm": 0.21361440420150757,
808
+ "learning_rate": 9.221956552036992e-06,
809
+ "loss": 0.0339,
810
+ "step": 103
811
+ },
812
+ {
813
+ "epoch": 4.108641975308642,
814
+ "grad_norm": 0.19031283259391785,
815
+ "learning_rate": 8.426519384872733e-06,
816
+ "loss": 0.0288,
817
+ "step": 104
818
+ },
819
+ {
820
+ "epoch": 4.148148148148148,
821
+ "grad_norm": 0.1789381355047226,
822
+ "learning_rate": 7.663790038585793e-06,
823
+ "loss": 0.0323,
824
+ "step": 105
825
+ },
826
+ {
827
+ "epoch": 4.187654320987654,
828
+ "grad_norm": 0.18017913401126862,
829
+ "learning_rate": 6.934368588379553e-06,
830
+ "loss": 0.035,
831
+ "step": 106
832
+ },
833
+ {
834
+ "epoch": 4.22716049382716,
835
+ "grad_norm": 0.18314358592033386,
836
+ "learning_rate": 6.238828904562316e-06,
837
+ "loss": 0.0263,
838
+ "step": 107
839
+ },
840
+ {
841
+ "epoch": 4.266666666666667,
842
+ "grad_norm": 0.20920193195343018,
843
+ "learning_rate": 5.577718201056392e-06,
844
+ "loss": 0.0337,
845
+ "step": 108
846
+ },
847
+ {
848
+ "epoch": 4.306172839506173,
849
+ "grad_norm": 0.17229609191417694,
850
+ "learning_rate": 4.951556604879048e-06,
851
+ "loss": 0.0303,
852
+ "step": 109
853
+ },
854
+ {
855
+ "epoch": 4.345679012345679,
856
+ "grad_norm": 0.1544303596019745,
857
+ "learning_rate": 4.360836746934055e-06,
858
+ "loss": 0.0269,
859
+ "step": 110
860
+ },
861
+ {
862
+ "epoch": 4.345679012345679,
863
+ "eval_loss": 0.05018164962530136,
864
+ "eval_runtime": 29.2504,
865
+ "eval_samples_per_second": 1.538,
866
+ "eval_steps_per_second": 1.538,
867
+ "step": 110
868
+ },
869
+ {
870
+ "epoch": 4.385185185185185,
871
+ "grad_norm": 0.18308553099632263,
872
+ "learning_rate": 3.8060233744356633e-06,
873
+ "loss": 0.03,
874
+ "step": 111
875
+ },
876
+ {
877
+ "epoch": 4.424691358024692,
878
+ "grad_norm": 0.19447027146816254,
879
+ "learning_rate": 3.2875529852700147e-06,
880
+ "loss": 0.0294,
881
+ "step": 112
882
+ },
883
+ {
884
+ "epoch": 4.4641975308641975,
885
+ "grad_norm": 0.15953049063682556,
886
+ "learning_rate": 2.8058334845816213e-06,
887
+ "loss": 0.0249,
888
+ "step": 113
889
+ },
890
+ {
891
+ "epoch": 4.503703703703704,
892
+ "grad_norm": 0.18681061267852783,
893
+ "learning_rate": 2.361243863855184e-06,
894
+ "loss": 0.0278,
895
+ "step": 114
896
+ },
897
+ {
898
+ "epoch": 4.54320987654321,
899
+ "grad_norm": 0.16752764582633972,
900
+ "learning_rate": 1.9541339027450256e-06,
901
+ "loss": 0.0262,
902
+ "step": 115
903
+ },
904
+ {
905
+ "epoch": 4.582716049382716,
906
+ "grad_norm": 0.18282541632652283,
907
+ "learning_rate": 1.584823893886933e-06,
908
+ "loss": 0.0349,
909
+ "step": 116
910
+ },
911
+ {
912
+ "epoch": 4.622222222222222,
913
+ "grad_norm": 0.1863105297088623,
914
+ "learning_rate": 1.2536043909088191e-06,
915
+ "loss": 0.0295,
916
+ "step": 117
917
+ },
918
+ {
919
+ "epoch": 4.661728395061728,
920
+ "grad_norm": 0.17035965621471405,
921
+ "learning_rate": 9.607359798384785e-07,
922
+ "loss": 0.0305,
923
+ "step": 118
924
+ },
925
+ {
926
+ "epoch": 4.701234567901235,
927
+ "grad_norm": 0.17452426254749298,
928
+ "learning_rate": 7.064490740882057e-07,
929
+ "loss": 0.0319,
930
+ "step": 119
931
+ },
932
+ {
933
+ "epoch": 4.7407407407407405,
934
+ "grad_norm": 0.17947931587696075,
935
+ "learning_rate": 4.909437331777179e-07,
936
+ "loss": 0.0289,
937
+ "step": 120
938
+ },
939
+ {
940
+ "epoch": 4.7407407407407405,
941
+ "eval_loss": 0.050184786319732666,
942
+ "eval_runtime": 29.264,
943
+ "eval_samples_per_second": 1.538,
944
+ "eval_steps_per_second": 1.538,
945
+ "step": 120
946
+ },
947
+ {
948
+ "epoch": 4.780246913580247,
949
+ "grad_norm": 0.19741973280906677,
950
+ "learning_rate": 3.143895053378698e-07,
951
+ "loss": 0.0266,
952
+ "step": 121
953
+ },
954
+ {
955
+ "epoch": 4.8197530864197535,
956
+ "grad_norm": 0.17615406215190887,
957
+ "learning_rate": 1.7692529411904578e-07,
958
+ "loss": 0.0299,
959
+ "step": 122
960
+ },
961
+ {
962
+ "epoch": 4.859259259259259,
963
+ "grad_norm": 0.15755115449428558,
964
+ "learning_rate": 7.865924910916977e-08,
965
+ "loss": 0.0284,
966
+ "step": 123
967
+ },
968
+ {
969
+ "epoch": 4.898765432098766,
970
+ "grad_norm": 0.1805194765329361,
971
+ "learning_rate": 1.9668680847356735e-08,
972
+ "loss": 0.0279,
973
+ "step": 124
974
+ },
975
+ {
976
+ "epoch": 4.938271604938271,
977
+ "grad_norm": 0.1919160634279251,
978
+ "learning_rate": 0.0,
979
+ "loss": 0.0373,
980
+ "step": 125
981
+ },
982
+ {
983
+ "epoch": 4.938271604938271,
984
+ "step": 125,
985
+ "total_flos": 1.743556468483031e+17,
986
+ "train_loss": 0.07543200919032098,
987
+ "train_runtime": 5142.0517,
988
+ "train_samples_per_second": 0.394,
989
+ "train_steps_per_second": 0.024
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": 1.743556468483031e+17,
1010
+ "train_batch_size": 1,
1011
+ "trial_name": null,
1012
+ "trial_params": null
1013
+ }
training_eval_loss.png ADDED
training_loss.png ADDED