faori commited on
Commit
9043d3e
·
verified ·
1 Parent(s): e30f3bc

Upload 10 files

Browse files
sketch/cls_score.json ADDED
The diff for this file is too large to render. See raw diff
 
sketch/config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/electra-base-discriminator",
3
+ "architectures": [
4
+ "ElectraForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "embedding_size": 768,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 3072,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "electra",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "summary_activation": "gelu",
23
+ "summary_last_dropout": 0.1,
24
+ "summary_type": "first",
25
+ "summary_use_proj": true,
26
+ "torch_dtype": "float32",
27
+ "transformers_version": "4.41.2",
28
+ "type_vocab_size": 2,
29
+ "use_cache": true,
30
+ "vocab_size": 30522
31
+ }
sketch/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42fc04e6b976a242dc088e8c5f7cbeeb6e1992e0054fbeca1c78ba40602551c0
3
+ size 437959248
sketch/sketch_eval_results.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ ***** Eval results *****
2
+ 2024-06-16 18:21:32.231566epoch = 10.0
3
+ eval_accuracy = 0.831397777592113
4
+ eval_f1 = 0.8103383458646617
5
+ eval_precision = 0.9280947255113025
6
+ eval_recall = 0.7190992493744788
7
+ eval_runtime = 50.2235
8
+ eval_samples_per_second = 238.315
9
+ eval_steps_per_second = 3.743
10
+
sketch/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
sketch/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
sketch/tokenizer_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "model_max_length": 512,
49
+ "pad_token": "[PAD]",
50
+ "sep_token": "[SEP]",
51
+ "strip_accents": null,
52
+ "tokenize_chinese_chars": true,
53
+ "tokenizer_class": "ElectraTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
sketch/trainer_state.json ADDED
@@ -0,0 +1,432 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 10.0,
5
+ "eval_steps": 500,
6
+ "global_step": 20400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.24509803921568626,
13
+ "grad_norm": 2.2194137573242188,
14
+ "learning_rate": 4.901960784313726e-06,
15
+ "loss": 0.6351,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.49019607843137253,
20
+ "grad_norm": 5.901831150054932,
21
+ "learning_rate": 9.803921568627451e-06,
22
+ "loss": 0.4992,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.7352941176470589,
27
+ "grad_norm": 5.434150695800781,
28
+ "learning_rate": 1.4705882352941179e-05,
29
+ "loss": 0.3933,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.9803921568627451,
34
+ "grad_norm": 6.714095115661621,
35
+ "learning_rate": 1.9607843137254903e-05,
36
+ "loss": 0.3433,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 1.0,
41
+ "eval_accuracy": 0.795555184225917,
42
+ "eval_f1": 0.758320987654321,
43
+ "eval_precision": 0.9295399515738498,
44
+ "eval_recall": 0.6403669724770642,
45
+ "eval_runtime": 50.1487,
46
+ "eval_samples_per_second": 238.67,
47
+ "eval_steps_per_second": 3.749,
48
+ "step": 2040
49
+ },
50
+ {
51
+ "epoch": 1.2254901960784315,
52
+ "grad_norm": 4.650435924530029,
53
+ "learning_rate": 1.9501089324618738e-05,
54
+ "loss": 0.2707,
55
+ "step": 2500
56
+ },
57
+ {
58
+ "epoch": 1.4705882352941178,
59
+ "grad_norm": 5.975987434387207,
60
+ "learning_rate": 1.8956427015250548e-05,
61
+ "loss": 0.2568,
62
+ "step": 3000
63
+ },
64
+ {
65
+ "epoch": 1.715686274509804,
66
+ "grad_norm": 4.295902729034424,
67
+ "learning_rate": 1.8413943355119828e-05,
68
+ "loss": 0.2396,
69
+ "step": 3500
70
+ },
71
+ {
72
+ "epoch": 1.9607843137254903,
73
+ "grad_norm": 4.352377414703369,
74
+ "learning_rate": 1.7869281045751637e-05,
75
+ "loss": 0.2253,
76
+ "step": 4000
77
+ },
78
+ {
79
+ "epoch": 2.0,
80
+ "eval_accuracy": 0.821873172361935,
81
+ "eval_f1": 0.7964094728800611,
82
+ "eval_precision": 0.9314272950636587,
83
+ "eval_recall": 0.69557964970809,
84
+ "eval_runtime": 50.0719,
85
+ "eval_samples_per_second": 239.036,
86
+ "eval_steps_per_second": 3.755,
87
+ "step": 4080
88
+ },
89
+ {
90
+ "epoch": 2.2058823529411766,
91
+ "grad_norm": 8.222220420837402,
92
+ "learning_rate": 1.7324618736383444e-05,
93
+ "loss": 0.1567,
94
+ "step": 4500
95
+ },
96
+ {
97
+ "epoch": 2.450980392156863,
98
+ "grad_norm": 8.841856956481934,
99
+ "learning_rate": 1.677995642701525e-05,
100
+ "loss": 0.1406,
101
+ "step": 5000
102
+ },
103
+ {
104
+ "epoch": 2.696078431372549,
105
+ "grad_norm": 5.413289546966553,
106
+ "learning_rate": 1.6236383442265798e-05,
107
+ "loss": 0.1379,
108
+ "step": 5500
109
+ },
110
+ {
111
+ "epoch": 2.9411764705882355,
112
+ "grad_norm": 6.019312381744385,
113
+ "learning_rate": 1.5691721132897604e-05,
114
+ "loss": 0.1406,
115
+ "step": 6000
116
+ },
117
+ {
118
+ "epoch": 3.0,
119
+ "eval_accuracy": 0.8236277049043362,
120
+ "eval_f1": 0.7998103366524419,
121
+ "eval_precision": 0.9268131868131868,
122
+ "eval_recall": 0.7034195162635529,
123
+ "eval_runtime": 50.1875,
124
+ "eval_samples_per_second": 238.486,
125
+ "eval_steps_per_second": 3.746,
126
+ "step": 6120
127
+ },
128
+ {
129
+ "epoch": 3.186274509803922,
130
+ "grad_norm": 4.456413269042969,
131
+ "learning_rate": 1.5148148148148149e-05,
132
+ "loss": 0.0954,
133
+ "step": 6500
134
+ },
135
+ {
136
+ "epoch": 3.431372549019608,
137
+ "grad_norm": 3.628704786300659,
138
+ "learning_rate": 1.4603485838779959e-05,
139
+ "loss": 0.0892,
140
+ "step": 7000
141
+ },
142
+ {
143
+ "epoch": 3.6764705882352944,
144
+ "grad_norm": 2.9508347511291504,
145
+ "learning_rate": 1.4058823529411765e-05,
146
+ "loss": 0.0919,
147
+ "step": 7500
148
+ },
149
+ {
150
+ "epoch": 3.9215686274509802,
151
+ "grad_norm": 6.59318208694458,
152
+ "learning_rate": 1.3514161220043573e-05,
153
+ "loss": 0.0873,
154
+ "step": 8000
155
+ },
156
+ {
157
+ "epoch": 4.0,
158
+ "eval_accuracy": 0.8282229091820537,
159
+ "eval_f1": 0.808351976137211,
160
+ "eval_precision": 0.9161208535812381,
161
+ "eval_recall": 0.7232693911592994,
162
+ "eval_runtime": 50.5224,
163
+ "eval_samples_per_second": 236.905,
164
+ "eval_steps_per_second": 3.721,
165
+ "step": 8160
166
+ },
167
+ {
168
+ "epoch": 4.166666666666667,
169
+ "grad_norm": 2.5619020462036133,
170
+ "learning_rate": 1.2969498910675382e-05,
171
+ "loss": 0.0696,
172
+ "step": 8500
173
+ },
174
+ {
175
+ "epoch": 4.411764705882353,
176
+ "grad_norm": 6.823647499084473,
177
+ "learning_rate": 1.242483660130719e-05,
178
+ "loss": 0.0564,
179
+ "step": 9000
180
+ },
181
+ {
182
+ "epoch": 4.6568627450980395,
183
+ "grad_norm": 7.367131233215332,
184
+ "learning_rate": 1.1880174291939e-05,
185
+ "loss": 0.0608,
186
+ "step": 9500
187
+ },
188
+ {
189
+ "epoch": 4.901960784313726,
190
+ "grad_norm": 1.920448660850525,
191
+ "learning_rate": 1.1335511982570806e-05,
192
+ "loss": 0.0642,
193
+ "step": 10000
194
+ },
195
+ {
196
+ "epoch": 5.0,
197
+ "eval_accuracy": 0.8349903918456011,
198
+ "eval_f1": 0.8161593595829842,
199
+ "eval_precision": 0.9233361415332771,
200
+ "eval_recall": 0.7312760633861551,
201
+ "eval_runtime": 50.2334,
202
+ "eval_samples_per_second": 238.268,
203
+ "eval_steps_per_second": 3.743,
204
+ "step": 10200
205
+ },
206
+ {
207
+ "epoch": 5.147058823529412,
208
+ "grad_norm": 0.24896511435508728,
209
+ "learning_rate": 1.0790849673202614e-05,
210
+ "loss": 0.0484,
211
+ "step": 10500
212
+ },
213
+ {
214
+ "epoch": 5.392156862745098,
215
+ "grad_norm": 0.1454085409641266,
216
+ "learning_rate": 1.0248366013071896e-05,
217
+ "loss": 0.0428,
218
+ "step": 11000
219
+ },
220
+ {
221
+ "epoch": 5.637254901960784,
222
+ "grad_norm": 0.20693035423755646,
223
+ "learning_rate": 9.703703703703703e-06,
224
+ "loss": 0.0422,
225
+ "step": 11500
226
+ },
227
+ {
228
+ "epoch": 5.882352941176471,
229
+ "grad_norm": 7.705965518951416,
230
+ "learning_rate": 9.159041394335513e-06,
231
+ "loss": 0.0439,
232
+ "step": 12000
233
+ },
234
+ {
235
+ "epoch": 6.0,
236
+ "eval_accuracy": 0.82078703316902,
237
+ "eval_f1": 0.7939283312518013,
238
+ "eval_precision": 0.9361123697326688,
239
+ "eval_recall": 0.6892410341951626,
240
+ "eval_runtime": 50.1119,
241
+ "eval_samples_per_second": 238.846,
242
+ "eval_steps_per_second": 3.752,
243
+ "step": 12240
244
+ },
245
+ {
246
+ "epoch": 6.127450980392156,
247
+ "grad_norm": 3.6634812355041504,
248
+ "learning_rate": 8.614379084967321e-06,
249
+ "loss": 0.0368,
250
+ "step": 12500
251
+ },
252
+ {
253
+ "epoch": 6.372549019607844,
254
+ "grad_norm": 0.9099088311195374,
255
+ "learning_rate": 8.069716775599129e-06,
256
+ "loss": 0.0299,
257
+ "step": 13000
258
+ },
259
+ {
260
+ "epoch": 6.617647058823529,
261
+ "grad_norm": 4.98677921295166,
262
+ "learning_rate": 7.5250544662309376e-06,
263
+ "loss": 0.0305,
264
+ "step": 13500
265
+ },
266
+ {
267
+ "epoch": 6.862745098039216,
268
+ "grad_norm": 1.047827124595642,
269
+ "learning_rate": 6.9803921568627454e-06,
270
+ "loss": 0.0322,
271
+ "step": 14000
272
+ },
273
+ {
274
+ "epoch": 7.0,
275
+ "eval_accuracy": 0.8311471300860557,
276
+ "eval_f1": 0.8085630387420669,
277
+ "eval_precision": 0.9355545813239807,
278
+ "eval_recall": 0.7119266055045872,
279
+ "eval_runtime": 50.2076,
280
+ "eval_samples_per_second": 238.39,
281
+ "eval_steps_per_second": 3.744,
282
+ "step": 14280
283
+ },
284
+ {
285
+ "epoch": 7.107843137254902,
286
+ "grad_norm": 4.889837741851807,
287
+ "learning_rate": 6.435729847494554e-06,
288
+ "loss": 0.0278,
289
+ "step": 14500
290
+ },
291
+ {
292
+ "epoch": 7.352941176470588,
293
+ "grad_norm": 0.027428582310676575,
294
+ "learning_rate": 5.891067538126363e-06,
295
+ "loss": 0.0242,
296
+ "step": 15000
297
+ },
298
+ {
299
+ "epoch": 7.598039215686274,
300
+ "grad_norm": 15.176671981811523,
301
+ "learning_rate": 5.34640522875817e-06,
302
+ "loss": 0.0216,
303
+ "step": 15500
304
+ },
305
+ {
306
+ "epoch": 7.8431372549019605,
307
+ "grad_norm": 0.10369198769330978,
308
+ "learning_rate": 4.801742919389979e-06,
309
+ "loss": 0.0241,
310
+ "step": 16000
311
+ },
312
+ {
313
+ "epoch": 8.0,
314
+ "eval_accuracy": 0.8279722616759964,
315
+ "eval_f1": 0.8052586777641162,
316
+ "eval_precision": 0.9298820445609436,
317
+ "eval_recall": 0.710091743119266,
318
+ "eval_runtime": 50.123,
319
+ "eval_samples_per_second": 238.792,
320
+ "eval_steps_per_second": 3.751,
321
+ "step": 16320
322
+ },
323
+ {
324
+ "epoch": 8.088235294117647,
325
+ "grad_norm": 6.414863109588623,
326
+ "learning_rate": 4.2570806100217874e-06,
327
+ "loss": 0.0223,
328
+ "step": 16500
329
+ },
330
+ {
331
+ "epoch": 8.333333333333334,
332
+ "grad_norm": 7.71334981918335,
333
+ "learning_rate": 3.7135076252723314e-06,
334
+ "loss": 0.0161,
335
+ "step": 17000
336
+ },
337
+ {
338
+ "epoch": 8.57843137254902,
339
+ "grad_norm": 6.453121662139893,
340
+ "learning_rate": 3.1688453159041397e-06,
341
+ "loss": 0.0191,
342
+ "step": 17500
343
+ },
344
+ {
345
+ "epoch": 8.823529411764707,
346
+ "grad_norm": 17.10112762451172,
347
+ "learning_rate": 2.624183006535948e-06,
348
+ "loss": 0.0182,
349
+ "step": 18000
350
+ },
351
+ {
352
+ "epoch": 9.0,
353
+ "eval_accuracy": 0.8256328849527947,
354
+ "eval_f1": 0.8022738038844149,
355
+ "eval_precision": 0.9285087719298246,
356
+ "eval_recall": 0.706255212677231,
357
+ "eval_runtime": 50.0398,
358
+ "eval_samples_per_second": 239.19,
359
+ "eval_steps_per_second": 3.757,
360
+ "step": 18360
361
+ },
362
+ {
363
+ "epoch": 9.068627450980392,
364
+ "grad_norm": 0.027658773586153984,
365
+ "learning_rate": 2.0795206971677563e-06,
366
+ "loss": 0.0179,
367
+ "step": 18500
368
+ },
369
+ {
370
+ "epoch": 9.313725490196079,
371
+ "grad_norm": 0.012034358456730843,
372
+ "learning_rate": 1.5348583877995642e-06,
373
+ "loss": 0.0142,
374
+ "step": 19000
375
+ },
376
+ {
377
+ "epoch": 9.558823529411764,
378
+ "grad_norm": 0.053181909024715424,
379
+ "learning_rate": 9.923747276688455e-07,
380
+ "loss": 0.0117,
381
+ "step": 19500
382
+ },
383
+ {
384
+ "epoch": 9.803921568627452,
385
+ "grad_norm": 0.0060155196115374565,
386
+ "learning_rate": 4.477124183006536e-07,
387
+ "loss": 0.0125,
388
+ "step": 20000
389
+ },
390
+ {
391
+ "epoch": 10.0,
392
+ "eval_accuracy": 0.831397777592113,
393
+ "eval_f1": 0.8103383458646617,
394
+ "eval_precision": 0.9280947255113025,
395
+ "eval_recall": 0.7190992493744788,
396
+ "eval_runtime": 50.2235,
397
+ "eval_samples_per_second": 238.315,
398
+ "eval_steps_per_second": 3.743,
399
+ "step": 20400
400
+ },
401
+ {
402
+ "epoch": 10.0,
403
+ "step": 20400,
404
+ "total_flos": 3.433678205764608e+17,
405
+ "train_loss": 0.1127255682851754,
406
+ "train_runtime": 14662.5965,
407
+ "train_samples_per_second": 89.004,
408
+ "train_steps_per_second": 1.391
409
+ }
410
+ ],
411
+ "logging_steps": 500,
412
+ "max_steps": 20400,
413
+ "num_input_tokens_seen": 0,
414
+ "num_train_epochs": 10,
415
+ "save_steps": 5000,
416
+ "stateful_callbacks": {
417
+ "TrainerControl": {
418
+ "args": {
419
+ "should_epoch_stop": false,
420
+ "should_evaluate": false,
421
+ "should_log": false,
422
+ "should_save": true,
423
+ "should_training_stop": false
424
+ },
425
+ "attributes": {}
426
+ }
427
+ },
428
+ "total_flos": 3.433678205764608e+17,
429
+ "train_batch_size": 64,
430
+ "trial_name": null,
431
+ "trial_params": null
432
+ }
sketch/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe9bba43f581225319e9bf9748c1a32355e5b612f6b61d90f7370956d30d4e0d
3
+ size 4667
sketch/vocab.txt ADDED
The diff for this file is too large to render. See raw diff