eqhylxx commited on
Commit
120fa11
1 Parent(s): ebe3254

first commit

Browse files
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "JackFram/llama-160m",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 0,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 768,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 3072,
12
+ "max_position_embeddings": 2048,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 12,
15
+ "num_hidden_layers": 12,
16
+ "num_key_value_heads": 12,
17
+ "pad_token_id": 1,
18
+ "pretraining_tp": 1,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 10000.0,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.33.2",
25
+ "use_cache": true,
26
+ "vocab_size": 32000
27
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 1,
6
+ "transformers_version": "4.33.2"
7
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08934730e6679122a562ba9815956f72272600155f282da08d63e5b81d7d94fa
3
+ size 649705097
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<unk>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": true,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": null,
22
+ "model_max_length": 2048,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "spaces_between_special_tokens": false,
27
+ "tokenizer_class": "LlamaTokenizer",
28
+ "unk_token": {
29
+ "__type": "AddedToken",
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": true,
33
+ "rstrip": false,
34
+ "single_word": false
35
+ },
36
+ "use_default_system_prompt": true,
37
+ "use_fast": true
38
+ }
trainer_state.json ADDED
@@ -0,0 +1,400 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.984,
5
+ "eval_steps": 500,
6
+ "global_step": 62,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "learning_rate": 1e-05,
14
+ "loss": 3.244,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.06,
19
+ "learning_rate": 2e-05,
20
+ "loss": 2.8814,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.1,
25
+ "learning_rate": 1.9986295347545738e-05,
26
+ "loss": 3.0403,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.13,
31
+ "learning_rate": 1.9945218953682736e-05,
32
+ "loss": 2.6799,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.16,
37
+ "learning_rate": 1.9876883405951378e-05,
38
+ "loss": 2.6526,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.19,
43
+ "learning_rate": 1.9781476007338058e-05,
44
+ "loss": 2.5161,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.22,
49
+ "learning_rate": 1.9659258262890683e-05,
50
+ "loss": 2.4145,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.26,
55
+ "learning_rate": 1.9510565162951538e-05,
56
+ "loss": 2.3619,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.29,
61
+ "learning_rate": 1.9335804264972018e-05,
62
+ "loss": 2.4374,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.32,
67
+ "learning_rate": 1.913545457642601e-05,
68
+ "loss": 2.2143,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.35,
73
+ "learning_rate": 1.891006524188368e-05,
74
+ "loss": 2.2496,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.38,
79
+ "learning_rate": 1.866025403784439e-05,
80
+ "loss": 2.1492,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.42,
85
+ "learning_rate": 1.8386705679454243e-05,
86
+ "loss": 2.0843,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.45,
91
+ "learning_rate": 1.8090169943749477e-05,
92
+ "loss": 2.0363,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.48,
97
+ "learning_rate": 1.777145961456971e-05,
98
+ "loss": 2.1496,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.51,
103
+ "learning_rate": 1.7431448254773943e-05,
104
+ "loss": 2.0326,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.54,
109
+ "learning_rate": 1.7071067811865477e-05,
110
+ "loss": 2.0164,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.58,
115
+ "learning_rate": 1.6691306063588583e-05,
116
+ "loss": 2.0463,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.61,
121
+ "learning_rate": 1.6293203910498375e-05,
122
+ "loss": 1.992,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.64,
127
+ "learning_rate": 1.5877852522924733e-05,
128
+ "loss": 1.957,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.67,
133
+ "learning_rate": 1.5446390350150272e-05,
134
+ "loss": 1.8724,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.7,
139
+ "learning_rate": 1.5000000000000002e-05,
140
+ "loss": 2.0305,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.74,
145
+ "learning_rate": 1.4539904997395468e-05,
146
+ "loss": 1.8814,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.77,
151
+ "learning_rate": 1.4067366430758004e-05,
152
+ "loss": 1.9395,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.8,
157
+ "learning_rate": 1.3583679495453e-05,
158
+ "loss": 1.8587,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.83,
163
+ "learning_rate": 1.3090169943749475e-05,
164
+ "loss": 1.8729,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.86,
169
+ "learning_rate": 1.2588190451025209e-05,
170
+ "loss": 1.8447,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.9,
175
+ "learning_rate": 1.2079116908177592e-05,
176
+ "loss": 1.8578,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.93,
181
+ "learning_rate": 1.156434465040231e-05,
182
+ "loss": 1.7816,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.96,
187
+ "learning_rate": 1.1045284632676535e-05,
188
+ "loss": 1.9164,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.99,
193
+ "learning_rate": 1.0523359562429441e-05,
194
+ "loss": 1.9039,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 1.02,
199
+ "learning_rate": 1e-05,
200
+ "loss": 1.6931,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 1.06,
205
+ "learning_rate": 9.476640437570562e-06,
206
+ "loss": 1.7482,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 1.09,
211
+ "learning_rate": 8.954715367323468e-06,
212
+ "loss": 1.7157,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 1.12,
217
+ "learning_rate": 8.43565534959769e-06,
218
+ "loss": 1.7507,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 1.15,
223
+ "learning_rate": 7.92088309182241e-06,
224
+ "loss": 1.7258,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 1.18,
229
+ "learning_rate": 7.411809548974792e-06,
230
+ "loss": 1.6307,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 1.22,
235
+ "learning_rate": 6.909830056250527e-06,
236
+ "loss": 1.6894,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 1.25,
241
+ "learning_rate": 6.4163205045469975e-06,
242
+ "loss": 1.714,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 1.28,
247
+ "learning_rate": 5.932633569242e-06,
248
+ "loss": 1.6402,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 1.31,
253
+ "learning_rate": 5.460095002604533e-06,
254
+ "loss": 1.6554,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 1.34,
259
+ "learning_rate": 5.000000000000003e-06,
260
+ "loss": 1.6722,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 1.38,
265
+ "learning_rate": 4.5536096498497295e-06,
266
+ "loss": 1.6376,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 1.41,
271
+ "learning_rate": 4.12214747707527e-06,
272
+ "loss": 1.6696,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 1.44,
277
+ "learning_rate": 3.7067960895016277e-06,
278
+ "loss": 1.6975,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 1.47,
283
+ "learning_rate": 3.308693936411421e-06,
284
+ "loss": 1.6124,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 1.5,
289
+ "learning_rate": 2.9289321881345257e-06,
290
+ "loss": 1.6798,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 1.54,
295
+ "learning_rate": 2.5685517452260566e-06,
296
+ "loss": 1.5698,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 1.57,
301
+ "learning_rate": 2.2285403854302912e-06,
302
+ "loss": 1.6288,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 1.6,
307
+ "learning_rate": 1.9098300562505266e-06,
308
+ "loss": 1.606,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 1.63,
313
+ "learning_rate": 1.6132943205457607e-06,
314
+ "loss": 1.5923,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 1.66,
319
+ "learning_rate": 1.339745962155613e-06,
320
+ "loss": 1.6299,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 1.7,
325
+ "learning_rate": 1.0899347581163222e-06,
326
+ "loss": 1.6253,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 1.73,
331
+ "learning_rate": 8.645454235739903e-07,
332
+ "loss": 1.715,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 1.76,
337
+ "learning_rate": 6.641957350279838e-07,
338
+ "loss": 1.6588,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 1.79,
343
+ "learning_rate": 4.894348370484648e-07,
344
+ "loss": 1.5589,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 1.82,
349
+ "learning_rate": 3.4074173710931804e-07,
350
+ "loss": 1.6707,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 1.86,
355
+ "learning_rate": 2.1852399266194312e-07,
356
+ "loss": 1.638,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 1.89,
361
+ "learning_rate": 1.231165940486234e-07,
362
+ "loss": 1.7396,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 1.92,
367
+ "learning_rate": 5.4781046317267103e-08,
368
+ "loss": 1.6457,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 1.95,
373
+ "learning_rate": 1.370465245426167e-08,
374
+ "loss": 1.5623,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 1.98,
379
+ "learning_rate": 0.0,
380
+ "loss": 1.7258,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 1.98,
385
+ "step": 62,
386
+ "total_flos": 1.3441958877855744e+16,
387
+ "train_loss": 1.9260368904759806,
388
+ "train_runtime": 626.5721,
389
+ "train_samples_per_second": 12.768,
390
+ "train_steps_per_second": 0.099
391
+ }
392
+ ],
393
+ "logging_steps": 1.0,
394
+ "max_steps": 62,
395
+ "num_train_epochs": 2,
396
+ "save_steps": 1000,
397
+ "total_flos": 1.3441958877855744e+16,
398
+ "trial_name": null,
399
+ "trial_params": null
400
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdcb7b9b3a733298b4fe7bdcee6104b0fadb89db659d76942004b618797a535e
3
+ size 4027