bradmin commited on
Commit
a71298e
·
1 Parent(s): 1c5055e

Training in progress, step 500, checkpoint

Browse files
checkpoint-500/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "EleutherAI/polyglot-ko-1.3b",
3
+ "architectures": [
4
+ "GPTNeoXForSequenceClassification"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": 0.1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout": 0.0,
12
+ "hidden_size": 2048,
13
+ "id2label": {
14
+ "0": "LABEL_0"
15
+ },
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 8192,
18
+ "label2id": {
19
+ "LABEL_0": 0
20
+ },
21
+ "layer_norm_eps": 1e-05,
22
+ "max_position_embeddings": 2048,
23
+ "model_type": "gpt_neox",
24
+ "num_attention_heads": 16,
25
+ "num_hidden_layers": 24,
26
+ "pad_token_id": 2,
27
+ "rope_scaling": null,
28
+ "rotary_emb_base": 10000,
29
+ "rotary_pct": 0.5,
30
+ "tie_word_embeddings": false,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.34.1",
33
+ "use_cache": true,
34
+ "use_parallel_residual": true,
35
+ "vocab_size": 30080
36
+ }
checkpoint-500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cb45ec156c143e45d0ef8bd0f74e32e249196d711c3b7e36bfa5949b1b7bbbe
3
+ size 10161845830
checkpoint-500/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:854106c6a2953f168cd714931746fb06fbd548fe5b69803f26f7e17200475f41
3
+ size 5080945162
checkpoint-500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1e8951467f672e599a0e398344ed3975b70688312b5cb70540069055b72cdd8
3
+ size 14308
checkpoint-500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32dae175c043887d5db523143708418db76c276616cbe819e634ecc6b7d59f4a
3
+ size 1064
checkpoint-500/special_tokens_map.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|endoftext|>",
4
+ "<|sep|>",
5
+ "<|acc|>",
6
+ "<|tel|>",
7
+ "<|rrn|>"
8
+ ],
9
+ "eos_token": "<|endoftext|>",
10
+ "pad_token": "<|endoftext|>"
11
+ }
checkpoint-500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-500/tokenizer_config.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<|unused0|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<|unused1|>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "<|endoftext|>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "<|sep|>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "30000": {
36
+ "content": "<|acc|>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "30001": {
44
+ "content": "<|tel|>",
45
+ "lstrip": false,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ },
51
+ "30002": {
52
+ "content": "<|rrn|>",
53
+ "lstrip": false,
54
+ "normalized": false,
55
+ "rstrip": false,
56
+ "single_word": false,
57
+ "special": true
58
+ }
59
+ },
60
+ "additional_special_tokens": [
61
+ "<|endoftext|>",
62
+ "<|sep|>",
63
+ "<|acc|>",
64
+ "<|tel|>",
65
+ "<|rrn|>"
66
+ ],
67
+ "clean_up_tokenization_spaces": true,
68
+ "eos_token": "<|endoftext|>",
69
+ "model_max_length": 1000000000000000019884624838656,
70
+ "pad_token": "<|endoftext|>",
71
+ "tokenizer_class": "PreTrainedTokenizerFast"
72
+ }
checkpoint-500/trainer_state.json ADDED
@@ -0,0 +1,364 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.812842918106076,
5
+ "eval_steps": 100,
6
+ "global_step": 500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 8.994130006901536e-06,
14
+ "loss": 0.3053,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.03,
19
+ "learning_rate": 8.976535341747906e-06,
20
+ "loss": 0.1363,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.05,
25
+ "learning_rate": 8.947261907011569e-06,
26
+ "loss": 0.1087,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.07,
31
+ "learning_rate": 8.906386073741352e-06,
32
+ "loss": 0.106,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.08,
37
+ "learning_rate": 8.85401448231912e-06,
38
+ "loss": 0.0791,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.1,
43
+ "learning_rate": 8.790283764247187e-06,
44
+ "loss": 0.0702,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.11,
49
+ "learning_rate": 8.715360185692326e-06,
50
+ "loss": 0.0773,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.13,
55
+ "learning_rate": 8.629439213716327e-06,
56
+ "loss": 0.0583,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.15,
61
+ "learning_rate": 8.532745006324751e-06,
62
+ "loss": 0.0637,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.16,
67
+ "learning_rate": 8.425529827664287e-06,
68
+ "loss": 0.0554,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.16,
73
+ "eval_accuracy": 0.5,
74
+ "eval_loss": 7.870811641330633e-11,
75
+ "eval_runtime": 51.3409,
76
+ "eval_samples_per_second": 85.195,
77
+ "eval_steps_per_second": 10.654,
78
+ "step": 100
79
+ },
80
+ {
81
+ "epoch": 0.18,
82
+ "learning_rate": 8.308073389894399e-06,
83
+ "loss": 0.0666,
84
+ "step": 110
85
+ },
86
+ {
87
+ "epoch": 0.2,
88
+ "learning_rate": 8.18068212345023e-06,
89
+ "loss": 0.0598,
90
+ "step": 120
91
+ },
92
+ {
93
+ "epoch": 0.21,
94
+ "learning_rate": 8.043688377600596e-06,
95
+ "loss": 0.0423,
96
+ "step": 130
97
+ },
98
+ {
99
+ "epoch": 0.23,
100
+ "learning_rate": 7.897449553386683e-06,
101
+ "loss": 0.0311,
102
+ "step": 140
103
+ },
104
+ {
105
+ "epoch": 0.24,
106
+ "learning_rate": 7.742347171203542e-06,
107
+ "loss": 0.0527,
108
+ "step": 150
109
+ },
110
+ {
111
+ "epoch": 0.26,
112
+ "learning_rate": 7.578785875456937e-06,
113
+ "loss": 0.0847,
114
+ "step": 160
115
+ },
116
+ {
117
+ "epoch": 0.28,
118
+ "learning_rate": 7.407192378892295e-06,
119
+ "loss": 0.0595,
120
+ "step": 170
121
+ },
122
+ {
123
+ "epoch": 0.29,
124
+ "learning_rate": 7.2280143493498716e-06,
125
+ "loss": 0.0327,
126
+ "step": 180
127
+ },
128
+ {
129
+ "epoch": 0.31,
130
+ "learning_rate": 7.041719241850471e-06,
131
+ "loss": 0.0877,
132
+ "step": 190
133
+ },
134
+ {
135
+ "epoch": 0.33,
136
+ "learning_rate": 6.848793079058672e-06,
137
+ "loss": 0.0356,
138
+ "step": 200
139
+ },
140
+ {
141
+ "epoch": 0.33,
142
+ "eval_accuracy": 0.5,
143
+ "eval_loss": 9.303278147854144e-08,
144
+ "eval_runtime": 53.2016,
145
+ "eval_samples_per_second": 82.216,
146
+ "eval_steps_per_second": 10.282,
147
+ "step": 200
148
+ },
149
+ {
150
+ "epoch": 0.34,
151
+ "learning_rate": 6.649739183305183e-06,
152
+ "loss": 0.0332,
153
+ "step": 210
154
+ },
155
+ {
156
+ "epoch": 0.36,
157
+ "learning_rate": 6.445076863476361e-06,
158
+ "loss": 0.0537,
159
+ "step": 220
160
+ },
161
+ {
162
+ "epoch": 0.37,
163
+ "learning_rate": 6.235340060196612e-06,
164
+ "loss": 0.0548,
165
+ "step": 230
166
+ },
167
+ {
168
+ "epoch": 0.39,
169
+ "learning_rate": 6.021075952838263e-06,
170
+ "loss": 0.0485,
171
+ "step": 240
172
+ },
173
+ {
174
+ "epoch": 0.41,
175
+ "learning_rate": 5.802843531993069e-06,
176
+ "loss": 0.041,
177
+ "step": 250
178
+ },
179
+ {
180
+ "epoch": 0.42,
181
+ "learning_rate": 5.581212141129573e-06,
182
+ "loss": 0.0266,
183
+ "step": 260
184
+ },
185
+ {
186
+ "epoch": 0.44,
187
+ "learning_rate": 5.3567599912410075e-06,
188
+ "loss": 0.0421,
189
+ "step": 270
190
+ },
191
+ {
192
+ "epoch": 0.46,
193
+ "learning_rate": 5.130072652358832e-06,
194
+ "loss": 0.0522,
195
+ "step": 280
196
+ },
197
+ {
198
+ "epoch": 0.47,
199
+ "learning_rate": 4.901741525867374e-06,
200
+ "loss": 0.0302,
201
+ "step": 290
202
+ },
203
+ {
204
+ "epoch": 0.49,
205
+ "learning_rate": 4.67236230160516e-06,
206
+ "loss": 0.0741,
207
+ "step": 300
208
+ },
209
+ {
210
+ "epoch": 0.49,
211
+ "eval_accuracy": 0.0,
212
+ "eval_loss": 2.2148276457301108e-07,
213
+ "eval_runtime": 51.7845,
214
+ "eval_samples_per_second": 84.465,
215
+ "eval_steps_per_second": 10.563,
216
+ "step": 300
217
+ },
218
+ {
219
+ "epoch": 0.5,
220
+ "learning_rate": 4.44253340377812e-06,
221
+ "loss": 0.0388,
222
+ "step": 310
223
+ },
224
+ {
225
+ "epoch": 0.52,
226
+ "learning_rate": 4.212854429739172e-06,
227
+ "loss": 0.0309,
228
+ "step": 320
229
+ },
230
+ {
231
+ "epoch": 0.54,
232
+ "learning_rate": 3.983924585707199e-06,
233
+ "loss": 0.0288,
234
+ "step": 330
235
+ },
236
+ {
237
+ "epoch": 0.55,
238
+ "learning_rate": 3.7563411235064183e-06,
239
+ "loss": 0.053,
240
+ "step": 340
241
+ },
242
+ {
243
+ "epoch": 0.57,
244
+ "learning_rate": 3.530697782404584e-06,
245
+ "loss": 0.0557,
246
+ "step": 350
247
+ },
248
+ {
249
+ "epoch": 0.59,
250
+ "learning_rate": 3.3075832401150233e-06,
251
+ "loss": 0.0571,
252
+ "step": 360
253
+ },
254
+ {
255
+ "epoch": 0.6,
256
+ "learning_rate": 3.0875795770036908e-06,
257
+ "loss": 0.0436,
258
+ "step": 370
259
+ },
260
+ {
261
+ "epoch": 0.62,
262
+ "learning_rate": 2.871260757507969e-06,
263
+ "loss": 0.0535,
264
+ "step": 380
265
+ },
266
+ {
267
+ "epoch": 0.63,
268
+ "learning_rate": 2.6591911327289704e-06,
269
+ "loss": 0.0265,
270
+ "step": 390
271
+ },
272
+ {
273
+ "epoch": 0.65,
274
+ "learning_rate": 2.4519239681039617e-06,
275
+ "loss": 0.0399,
276
+ "step": 400
277
+ },
278
+ {
279
+ "epoch": 0.65,
280
+ "eval_accuracy": 0.0,
281
+ "eval_loss": 5.652063350680692e-07,
282
+ "eval_runtime": 52.7896,
283
+ "eval_samples_per_second": 82.857,
284
+ "eval_steps_per_second": 10.362,
285
+ "step": 400
286
+ },
287
+ {
288
+ "epoch": 0.67,
289
+ "learning_rate": 2.250000000000001e-06,
290
+ "loss": 0.0365,
291
+ "step": 410
292
+ },
293
+ {
294
+ "epoch": 0.68,
295
+ "learning_rate": 2.0539460249945052e-06,
296
+ "loss": 0.0524,
297
+ "step": 420
298
+ },
299
+ {
300
+ "epoch": 0.7,
301
+ "learning_rate": 1.8642735255231234e-06,
302
+ "loss": 0.033,
303
+ "step": 430
304
+ },
305
+ {
306
+ "epoch": 0.72,
307
+ "learning_rate": 1.681477335480462e-06,
308
+ "loss": 0.03,
309
+ "step": 440
310
+ },
311
+ {
312
+ "epoch": 0.73,
313
+ "learning_rate": 1.5060343492549563e-06,
314
+ "loss": 0.0431,
315
+ "step": 450
316
+ },
317
+ {
318
+ "epoch": 0.75,
319
+ "learning_rate": 1.3384022775658566e-06,
320
+ "loss": 0.0487,
321
+ "step": 460
322
+ },
323
+ {
324
+ "epoch": 0.76,
325
+ "learning_rate": 1.1790184533482286e-06,
326
+ "loss": 0.0261,
327
+ "step": 470
328
+ },
329
+ {
330
+ "epoch": 0.78,
331
+ "learning_rate": 1.0282986908012566e-06,
332
+ "loss": 0.0287,
333
+ "step": 480
334
+ },
335
+ {
336
+ "epoch": 0.8,
337
+ "learning_rate": 8.866362005764765e-07,
338
+ "loss": 0.0259,
339
+ "step": 490
340
+ },
341
+ {
342
+ "epoch": 0.81,
343
+ "learning_rate": 7.544005639360776e-07,
344
+ "loss": 0.0307,
345
+ "step": 500
346
+ },
347
+ {
348
+ "epoch": 0.81,
349
+ "eval_accuracy": 0.5,
350
+ "eval_loss": 1.5770057260056092e-08,
351
+ "eval_runtime": 51.4653,
352
+ "eval_samples_per_second": 84.989,
353
+ "eval_steps_per_second": 10.629,
354
+ "step": 500
355
+ }
356
+ ],
357
+ "logging_steps": 10,
358
+ "max_steps": 615,
359
+ "num_train_epochs": 1,
360
+ "save_steps": 100,
361
+ "total_flos": 0.0,
362
+ "trial_name": null,
363
+ "trial_params": null
364
+ }
checkpoint-500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f83b04586007121ba3ee6bfcd4a06860c6098884f4f89ada67554e532440c28
3
+ size 4600