jinbbong commited on
Commit
5f75ada
1 Parent(s): cfdb1cc
config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "hyunwoongko/kobart",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "gelu",
5
+ "add_bias_logits": false,
6
+ "add_final_layer_norm": false,
7
+ "architectures": [
8
+ "BartForConditionalGeneration"
9
+ ],
10
+ "attention_dropout": 0.0,
11
+ "bos_token_id": 0,
12
+ "classif_dropout": 0.1,
13
+ "classifier_dropout": 0.1,
14
+ "d_model": 768,
15
+ "decoder_attention_heads": 16,
16
+ "decoder_ffn_dim": 3072,
17
+ "decoder_layerdrop": 0.0,
18
+ "decoder_layers": 6,
19
+ "decoder_start_token_id": 2,
20
+ "do_blenderbot_90_layernorm": false,
21
+ "dropout": 0.1,
22
+ "encoder_attention_heads": 16,
23
+ "encoder_ffn_dim": 3072,
24
+ "encoder_layerdrop": 0.0,
25
+ "encoder_layers": 6,
26
+ "eos_token_id": 1,
27
+ "extra_pos_embeddings": 2,
28
+ "force_bos_token_to_be_generated": false,
29
+ "gradient_checkpointing": false,
30
+ "id2label": {
31
+ "0": "NEGATIVE",
32
+ "1": "POSITIVE"
33
+ },
34
+ "init_std": 0.02,
35
+ "is_encoder_decoder": true,
36
+ "label2id": {
37
+ "NEGATIVE": 0,
38
+ "POSITIVE": 1
39
+ },
40
+ "max_position_embeddings": 1026,
41
+ "model_type": "bart",
42
+ "normalize_before": false,
43
+ "normalize_embedding": true,
44
+ "num_hidden_layers": 6,
45
+ "pad_token_id": 3,
46
+ "scale_embedding": false,
47
+ "static_position_embeddings": false,
48
+ "transformers_version": "4.2.2",
49
+ "use_cache": true,
50
+ "vocab_size": 30000,
51
+ "xla_device": true
52
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10e01c0aca1c49490b0f8b3aa256ba914376ca000487da2c32ece25b1c3e46ff
3
+ size 772129774
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "do_lower_case": false, "special_tokens_map_file": "/root/.cache/huggingface/transformers/97eaf441c74b8b3313c1b25fc39c6a816a85d47459270d02e75ccd36623de189.9d6cd81ef646692fb1c169a880161ea1cb95f49694f220aced9b704b457e51dd", "name_or_path": "hyunwoongko/kobart"}
train_results.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ epoch = 5.0
2
+ train_runtime = 9443.8872
3
+ train_samples_per_second = 0.357
trainer_state.json ADDED
@@ -0,0 +1,424 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.0,
5
+ "global_step": 3375,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 4.925925925925926e-05,
13
+ "loss": 6.5471,
14
+ "step": 50
15
+ },
16
+ {
17
+ "epoch": 0.15,
18
+ "learning_rate": 4.851851851851852e-05,
19
+ "loss": 5.3494,
20
+ "step": 100
21
+ },
22
+ {
23
+ "epoch": 0.22,
24
+ "learning_rate": 4.7777777777777784e-05,
25
+ "loss": 4.6856,
26
+ "step": 150
27
+ },
28
+ {
29
+ "epoch": 0.3,
30
+ "learning_rate": 4.703703703703704e-05,
31
+ "loss": 4.2817,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.37,
36
+ "learning_rate": 4.62962962962963e-05,
37
+ "loss": 4.002,
38
+ "step": 250
39
+ },
40
+ {
41
+ "epoch": 0.44,
42
+ "learning_rate": 4.555555555555556e-05,
43
+ "loss": 3.7676,
44
+ "step": 300
45
+ },
46
+ {
47
+ "epoch": 0.52,
48
+ "learning_rate": 4.481481481481482e-05,
49
+ "loss": 3.6137,
50
+ "step": 350
51
+ },
52
+ {
53
+ "epoch": 0.59,
54
+ "learning_rate": 4.4074074074074076e-05,
55
+ "loss": 3.5144,
56
+ "step": 400
57
+ },
58
+ {
59
+ "epoch": 0.67,
60
+ "learning_rate": 4.3333333333333334e-05,
61
+ "loss": 3.4205,
62
+ "step": 450
63
+ },
64
+ {
65
+ "epoch": 0.74,
66
+ "learning_rate": 4.259259259259259e-05,
67
+ "loss": 3.3922,
68
+ "step": 500
69
+ },
70
+ {
71
+ "epoch": 0.81,
72
+ "learning_rate": 4.185185185185185e-05,
73
+ "loss": 3.2814,
74
+ "step": 550
75
+ },
76
+ {
77
+ "epoch": 0.89,
78
+ "learning_rate": 4.111111111111111e-05,
79
+ "loss": 3.154,
80
+ "step": 600
81
+ },
82
+ {
83
+ "epoch": 0.96,
84
+ "learning_rate": 4.0370370370370374e-05,
85
+ "loss": 3.1475,
86
+ "step": 650
87
+ },
88
+ {
89
+ "epoch": 1.04,
90
+ "learning_rate": 3.962962962962963e-05,
91
+ "loss": 3.0733,
92
+ "step": 700
93
+ },
94
+ {
95
+ "epoch": 1.11,
96
+ "learning_rate": 3.888888888888889e-05,
97
+ "loss": 3.0052,
98
+ "step": 750
99
+ },
100
+ {
101
+ "epoch": 1.19,
102
+ "learning_rate": 3.814814814814815e-05,
103
+ "loss": 2.9697,
104
+ "step": 800
105
+ },
106
+ {
107
+ "epoch": 1.26,
108
+ "learning_rate": 3.740740740740741e-05,
109
+ "loss": 2.8816,
110
+ "step": 850
111
+ },
112
+ {
113
+ "epoch": 1.33,
114
+ "learning_rate": 3.6666666666666666e-05,
115
+ "loss": 2.8471,
116
+ "step": 900
117
+ },
118
+ {
119
+ "epoch": 1.41,
120
+ "learning_rate": 3.592592592592593e-05,
121
+ "loss": 2.7135,
122
+ "step": 950
123
+ },
124
+ {
125
+ "epoch": 1.48,
126
+ "learning_rate": 3.518518518518519e-05,
127
+ "loss": 2.6549,
128
+ "step": 1000
129
+ },
130
+ {
131
+ "epoch": 1.56,
132
+ "learning_rate": 3.444444444444445e-05,
133
+ "loss": 2.6859,
134
+ "step": 1050
135
+ },
136
+ {
137
+ "epoch": 1.63,
138
+ "learning_rate": 3.3703703703703706e-05,
139
+ "loss": 2.5475,
140
+ "step": 1100
141
+ },
142
+ {
143
+ "epoch": 1.7,
144
+ "learning_rate": 3.2962962962962964e-05,
145
+ "loss": 2.5651,
146
+ "step": 1150
147
+ },
148
+ {
149
+ "epoch": 1.78,
150
+ "learning_rate": 3.222222222222223e-05,
151
+ "loss": 2.5293,
152
+ "step": 1200
153
+ },
154
+ {
155
+ "epoch": 1.85,
156
+ "learning_rate": 3.148148148148148e-05,
157
+ "loss": 2.4666,
158
+ "step": 1250
159
+ },
160
+ {
161
+ "epoch": 1.93,
162
+ "learning_rate": 3.074074074074074e-05,
163
+ "loss": 2.5076,
164
+ "step": 1300
165
+ },
166
+ {
167
+ "epoch": 2.0,
168
+ "learning_rate": 3e-05,
169
+ "loss": 2.4786,
170
+ "step": 1350
171
+ },
172
+ {
173
+ "epoch": 2.07,
174
+ "learning_rate": 2.925925925925926e-05,
175
+ "loss": 2.4179,
176
+ "step": 1400
177
+ },
178
+ {
179
+ "epoch": 2.15,
180
+ "learning_rate": 2.851851851851852e-05,
181
+ "loss": 2.4282,
182
+ "step": 1450
183
+ },
184
+ {
185
+ "epoch": 2.22,
186
+ "learning_rate": 2.777777777777778e-05,
187
+ "loss": 2.3712,
188
+ "step": 1500
189
+ },
190
+ {
191
+ "epoch": 2.3,
192
+ "learning_rate": 2.7037037037037037e-05,
193
+ "loss": 2.4311,
194
+ "step": 1550
195
+ },
196
+ {
197
+ "epoch": 2.37,
198
+ "learning_rate": 2.6296296296296296e-05,
199
+ "loss": 2.3564,
200
+ "step": 1600
201
+ },
202
+ {
203
+ "epoch": 2.44,
204
+ "learning_rate": 2.5555555555555554e-05,
205
+ "loss": 2.3612,
206
+ "step": 1650
207
+ },
208
+ {
209
+ "epoch": 2.52,
210
+ "learning_rate": 2.4814814814814816e-05,
211
+ "loss": 2.3105,
212
+ "step": 1700
213
+ },
214
+ {
215
+ "epoch": 2.59,
216
+ "learning_rate": 2.4074074074074074e-05,
217
+ "loss": 2.3608,
218
+ "step": 1750
219
+ },
220
+ {
221
+ "epoch": 2.67,
222
+ "learning_rate": 2.3333333333333336e-05,
223
+ "loss": 2.3177,
224
+ "step": 1800
225
+ },
226
+ {
227
+ "epoch": 2.74,
228
+ "learning_rate": 2.2592592592592594e-05,
229
+ "loss": 2.2787,
230
+ "step": 1850
231
+ },
232
+ {
233
+ "epoch": 2.81,
234
+ "learning_rate": 2.1851851851851852e-05,
235
+ "loss": 2.2704,
236
+ "step": 1900
237
+ },
238
+ {
239
+ "epoch": 2.89,
240
+ "learning_rate": 2.111111111111111e-05,
241
+ "loss": 2.3038,
242
+ "step": 1950
243
+ },
244
+ {
245
+ "epoch": 2.96,
246
+ "learning_rate": 2.037037037037037e-05,
247
+ "loss": 2.2936,
248
+ "step": 2000
249
+ },
250
+ {
251
+ "epoch": 3.04,
252
+ "learning_rate": 1.962962962962963e-05,
253
+ "loss": 2.2346,
254
+ "step": 2050
255
+ },
256
+ {
257
+ "epoch": 3.11,
258
+ "learning_rate": 1.888888888888889e-05,
259
+ "loss": 2.1724,
260
+ "step": 2100
261
+ },
262
+ {
263
+ "epoch": 3.19,
264
+ "learning_rate": 1.814814814814815e-05,
265
+ "loss": 2.2722,
266
+ "step": 2150
267
+ },
268
+ {
269
+ "epoch": 3.26,
270
+ "learning_rate": 1.740740740740741e-05,
271
+ "loss": 2.2064,
272
+ "step": 2200
273
+ },
274
+ {
275
+ "epoch": 3.33,
276
+ "learning_rate": 1.6666666666666667e-05,
277
+ "loss": 2.2001,
278
+ "step": 2250
279
+ },
280
+ {
281
+ "epoch": 3.41,
282
+ "learning_rate": 1.5925925925925926e-05,
283
+ "loss": 2.2209,
284
+ "step": 2300
285
+ },
286
+ {
287
+ "epoch": 3.48,
288
+ "learning_rate": 1.5185185185185186e-05,
289
+ "loss": 2.2761,
290
+ "step": 2350
291
+ },
292
+ {
293
+ "epoch": 3.56,
294
+ "learning_rate": 1.4444444444444444e-05,
295
+ "loss": 2.2162,
296
+ "step": 2400
297
+ },
298
+ {
299
+ "epoch": 3.63,
300
+ "learning_rate": 1.3703703703703704e-05,
301
+ "loss": 2.1901,
302
+ "step": 2450
303
+ },
304
+ {
305
+ "epoch": 3.7,
306
+ "learning_rate": 1.2962962962962962e-05,
307
+ "loss": 2.1575,
308
+ "step": 2500
309
+ },
310
+ {
311
+ "epoch": 3.78,
312
+ "learning_rate": 1.2222222222222222e-05,
313
+ "loss": 2.131,
314
+ "step": 2550
315
+ },
316
+ {
317
+ "epoch": 3.85,
318
+ "learning_rate": 1.1481481481481482e-05,
319
+ "loss": 2.1589,
320
+ "step": 2600
321
+ },
322
+ {
323
+ "epoch": 3.93,
324
+ "learning_rate": 1.074074074074074e-05,
325
+ "loss": 2.1777,
326
+ "step": 2650
327
+ },
328
+ {
329
+ "epoch": 4.0,
330
+ "learning_rate": 1e-05,
331
+ "loss": 2.1124,
332
+ "step": 2700
333
+ },
334
+ {
335
+ "epoch": 4.07,
336
+ "learning_rate": 9.259259259259259e-06,
337
+ "loss": 2.1113,
338
+ "step": 2750
339
+ },
340
+ {
341
+ "epoch": 4.15,
342
+ "learning_rate": 8.518518518518519e-06,
343
+ "loss": 2.087,
344
+ "step": 2800
345
+ },
346
+ {
347
+ "epoch": 4.22,
348
+ "learning_rate": 7.777777777777777e-06,
349
+ "loss": 2.1169,
350
+ "step": 2850
351
+ },
352
+ {
353
+ "epoch": 4.3,
354
+ "learning_rate": 7.0370370370370375e-06,
355
+ "loss": 2.143,
356
+ "step": 2900
357
+ },
358
+ {
359
+ "epoch": 4.37,
360
+ "learning_rate": 6.296296296296296e-06,
361
+ "loss": 2.0682,
362
+ "step": 2950
363
+ },
364
+ {
365
+ "epoch": 4.44,
366
+ "learning_rate": 5.555555555555556e-06,
367
+ "loss": 2.133,
368
+ "step": 3000
369
+ },
370
+ {
371
+ "epoch": 4.52,
372
+ "learning_rate": 4.814814814814815e-06,
373
+ "loss": 2.0986,
374
+ "step": 3050
375
+ },
376
+ {
377
+ "epoch": 4.59,
378
+ "learning_rate": 4.074074074074075e-06,
379
+ "loss": 2.1205,
380
+ "step": 3100
381
+ },
382
+ {
383
+ "epoch": 4.67,
384
+ "learning_rate": 3.3333333333333333e-06,
385
+ "loss": 2.0935,
386
+ "step": 3150
387
+ },
388
+ {
389
+ "epoch": 4.74,
390
+ "learning_rate": 2.5925925925925925e-06,
391
+ "loss": 2.0082,
392
+ "step": 3200
393
+ },
394
+ {
395
+ "epoch": 4.81,
396
+ "learning_rate": 1.8518518518518519e-06,
397
+ "loss": 2.0897,
398
+ "step": 3250
399
+ },
400
+ {
401
+ "epoch": 4.89,
402
+ "learning_rate": 1.1111111111111112e-06,
403
+ "loss": 2.1662,
404
+ "step": 3300
405
+ },
406
+ {
407
+ "epoch": 4.96,
408
+ "learning_rate": 3.703703703703704e-07,
409
+ "loss": 2.1098,
410
+ "step": 3350
411
+ },
412
+ {
413
+ "epoch": 5.0,
414
+ "step": 3375,
415
+ "train_runtime": 9443.8872,
416
+ "train_samples_per_second": 0.357
417
+ }
418
+ ],
419
+ "max_steps": 3375,
420
+ "num_train_epochs": 5,
421
+ "total_flos": 6087722705879040,
422
+ "trial_name": null,
423
+ "trial_params": null
424
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a5c60e6d37cb1869b94092b5f46106efd7c47320243c156f7b4576bde7e2c6c
3
+ size 1967
vocab.json ADDED
The diff for this file is too large to render. See raw diff