Hugging Face's logo

dhanishetty
/
Google_bert-base-uncased

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
Community
dhanishetty commited on
Commit
4ef537f
·
verified ·
1 Parent(s): 21c8127

dhanishetty/bert-base-uncased_adapters

Browse files
Files changed (8) hide show
  1. README.md +101 -0
  2. config.json +280 -0
  3. model.safetensors +3 -0
  4. special_tokens_map.json +7 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +55 -0
  7. training_args.bin +3 -0
  8. vocab.txt +0 -0
README.md ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google-bert/bert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: my_awesome_wnut_model
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dhanishetty-personaluse/huggingface/runs/5uvs4op2)
15
+ # my_awesome_wnut_model
16
+
17
+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.0596
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 5e-05
39
+ - train_batch_size: 8
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - gradient_accumulation_steps: 4
43
+ - total_train_batch_size: 32
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: inverse_sqrt
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - num_epochs: 1
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss |
52
+ |:-------------:|:-----:|:----:|:---------------:|
53
+ | 2.2234 | 0.024 | 30 | 0.9557 |
54
+ | 0.4601 | 0.048 | 60 | 0.4359 |
55
+ | 0.3149 | 0.072 | 90 | 0.2795 |
56
+ | 0.2403 | 0.096 | 120 | 0.2142 |
57
+ | 0.1876 | 0.12 | 150 | 0.1714 |
58
+ | 0.1691 | 0.144 | 180 | 0.1488 |
59
+ | 0.1394 | 0.168 | 210 | 0.1273 |
60
+ | 0.1264 | 0.192 | 240 | 0.1160 |
61
+ | 0.1113 | 0.216 | 270 | 0.1079 |
62
+ | 0.1148 | 0.24 | 300 | 0.0992 |
63
+ | 0.0995 | 0.264 | 330 | 0.0940 |
64
+ | 0.096 | 0.288 | 360 | 0.0941 |
65
+ | 0.0954 | 0.312 | 390 | 0.0854 |
66
+ | 0.089 | 0.336 | 420 | 0.0899 |
67
+ | 0.0826 | 0.36 | 450 | 0.0841 |
68
+ | 0.0872 | 0.384 | 480 | 0.0811 |
69
+ | 0.0794 | 0.408 | 510 | 0.0759 |
70
+ | 0.0756 | 0.432 | 540 | 0.0766 |
71
+ | 0.0826 | 0.456 | 570 | 0.0729 |
72
+ | 0.0841 | 0.48 | 600 | 0.0715 |
73
+ | 0.076 | 0.504 | 630 | 0.0737 |
74
+ | 0.0746 | 0.528 | 660 | 0.0691 |
75
+ | 0.0719 | 0.552 | 690 | 0.0697 |
76
+ | 0.0722 | 0.576 | 720 | 0.0673 |
77
+ | 0.0713 | 0.6 | 750 | 0.0656 |
78
+ | 0.0671 | 0.624 | 780 | 0.0652 |
79
+ | 0.0741 | 0.648 | 810 | 0.0675 |
80
+ | 0.0723 | 0.672 | 840 | 0.0663 |
81
+ | 0.0687 | 0.696 | 870 | 0.0649 |
82
+ | 0.067 | 0.72 | 900 | 0.0637 |
83
+ | 0.0623 | 0.744 | 930 | 0.0643 |
84
+ | 0.0599 | 0.768 | 960 | 0.0643 |
85
+ | 0.0686 | 0.792 | 990 | 0.0624 |
86
+ | 0.0638 | 0.816 | 1020 | 0.0623 |
87
+ | 0.0565 | 0.84 | 1050 | 0.0626 |
88
+ | 0.0614 | 0.864 | 1080 | 0.0615 |
89
+ | 0.063 | 0.888 | 1110 | 0.0592 |
90
+ | 0.0592 | 0.912 | 1140 | 0.0618 |
91
+ | 0.0687 | 0.936 | 1170 | 0.0618 |
92
+ | 0.0577 | 0.96 | 1200 | 0.0600 |
93
+ | 0.0629 | 0.984 | 1230 | 0.0596 |
94
+
95
+
96
+ ### Framework versions
97
+
98
+ - Transformers 4.42.3
99
+ - Pytorch 2.3.1+cu118
100
+ - Datasets 2.20.0
101
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-base-uncased",
3
+ "architectures": [
4
+ "BertForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "id2label": {
13
+ "0": "O",
14
+ "1": "B-GENERAL__product-software",
15
+ "2": "I-GENERAL__product-software",
16
+ "3": "B-GENERAL__person-scholar",
17
+ "4": "I-GENERAL__person-scholar",
18
+ "5": "B-GENERAL__event-attack/battle/war/militaryconflict",
19
+ "6": "I-GENERAL__event-attack/battle/war/militaryconflict",
20
+ "7": "B-DATETIME__range",
21
+ "8": "I-DATETIME__range",
22
+ "9": "B-GENERAL__other-award",
23
+ "10": "I-GENERAL__other-award",
24
+ "11": "B-GENERAL__other-disease",
25
+ "12": "I-GENERAL__other-disease",
26
+ "13": "B-GENERAL__building-sportsfacility",
27
+ "14": "I-GENERAL__building-sportsfacility",
28
+ "15": "B-DATETIME__authored",
29
+ "16": "I-DATETIME__authored",
30
+ "17": "B-GENERAL__location-bodiesofwater",
31
+ "18": "I-GENERAL__location-bodiesofwater",
32
+ "19": "B-GENERAL__art-writtenart",
33
+ "20": "I-GENERAL__art-writtenart",
34
+ "21": "B-GENERAL__other-god",
35
+ "22": "I-GENERAL__other-god",
36
+ "23": "B-DATETIME__relative",
37
+ "24": "I-DATETIME__relative",
38
+ "25": "B-GENERAL__organization-government/governmentagency",
39
+ "26": "I-GENERAL__organization-government/governmentagency",
40
+ "27": "B-GENERAL__product-weapon",
41
+ "28": "I-GENERAL__product-weapon",
42
+ "29": "B-GENERAL__other-language",
43
+ "30": "I-GENERAL__other-language",
44
+ "31": "B-GENERAL__event-other",
45
+ "32": "I-GENERAL__event-other",
46
+ "33": "B-GENERAL__building-restaurant",
47
+ "34": "I-GENERAL__building-restaurant",
48
+ "35": "B-GENERAL__location-mountain",
49
+ "36": "I-GENERAL__location-mountain",
50
+ "37": "B-GENERAL__organization-religion",
51
+ "38": "I-GENERAL__organization-religion",
52
+ "39": "B-GENERAL__location-park",
53
+ "40": "I-GENERAL__location-park",
54
+ "41": "B-GENERAL__event-sportsevent",
55
+ "42": "I-GENERAL__event-sportsevent",
56
+ "43": "B-GENERAL__other-livingthing",
57
+ "44": "I-GENERAL__other-livingthing",
58
+ "45": "B-GENERAL__product-food",
59
+ "46": "I-GENERAL__product-food",
60
+ "47": "B-GENERAL__other-currency",
61
+ "48": "I-GENERAL__other-currency",
62
+ "49": "B-GENERAL__location-island",
63
+ "50": "I-GENERAL__location-island",
64
+ "51": "B-GENERAL__organization-education",
65
+ "52": "I-GENERAL__organization-education",
66
+ "53": "B-GENERAL__other-astronomything",
67
+ "54": "I-GENERAL__other-astronomything",
68
+ "55": "B-GENERAL__other-chemicalthing",
69
+ "56": "I-GENERAL__other-chemicalthing",
70
+ "57": "B-GENERAL__other-law",
71
+ "58": "I-GENERAL__other-law",
72
+ "59": "B-GENERAL__building-library",
73
+ "60": "I-GENERAL__building-library",
74
+ "61": "B-GENERAL__organization-media/newspaper",
75
+ "62": "I-GENERAL__organization-media/newspaper",
76
+ "63": "B-GENERAL__location-GPE",
77
+ "64": "I-GENERAL__location-GPE",
78
+ "65": "B-GENERAL__art-music",
79
+ "66": "I-GENERAL__art-music",
80
+ "67": "B-GENERAL__art-broadcastprogram",
81
+ "68": "I-GENERAL__art-broadcastprogram",
82
+ "69": "B-GENERAL__person-soldier",
83
+ "70": "I-GENERAL__person-soldier",
84
+ "71": "B-GENERAL__building-airport",
85
+ "72": "I-GENERAL__building-airport",
86
+ "73": "B-GENERAL__other-biologything",
87
+ "74": "I-GENERAL__other-biologything",
88
+ "75": "B-GENERAL__art-other",
89
+ "76": "I-GENERAL__art-other",
90
+ "77": "B-GENERAL__person-other",
91
+ "78": "I-GENERAL__person-other",
92
+ "79": "B-GENERAL__organization-other",
93
+ "80": "I-GENERAL__organization-other",
94
+ "81": "B-GENERAL__product-game",
95
+ "82": "I-GENERAL__product-game",
96
+ "83": "B-DATETIME__absolute",
97
+ "84": "I-DATETIME__absolute",
98
+ "85": "B-GENERAL__organization-sportsteam",
99
+ "86": "I-GENERAL__organization-sportsteam",
100
+ "87": "B-GENERAL__product-train",
101
+ "88": "I-GENERAL__product-train",
102
+ "89": "B-GENERAL__product-car",
103
+ "90": "I-GENERAL__product-car",
104
+ "91": "B-GENERAL__other-medical",
105
+ "92": "I-GENERAL__other-medical",
106
+ "93": "B-GENERAL__building-theater",
107
+ "94": "I-GENERAL__building-theater",
108
+ "95": "B-GENERAL__art-film",
109
+ "96": "I-GENERAL__art-film",
110
+ "97": "B-GENERAL__art-painting",
111
+ "98": "I-GENERAL__art-painting",
112
+ "99": "B-GENERAL__location-other",
113
+ "100": "I-GENERAL__location-other",
114
+ "101": "B-GENERAL__building-hospital",
115
+ "102": "I-GENERAL__building-hospital",
116
+ "103": "B-GENERAL__product-airplane",
117
+ "104": "I-GENERAL__product-airplane",
118
+ "105": "B-GENERAL__product-ship",
119
+ "106": "I-GENERAL__product-ship",
120
+ "107": "B-GENERAL__person-politician",
121
+ "108": "I-GENERAL__person-politician",
122
+ "109": "B-GENERAL__other-educationaldegree",
123
+ "110": "I-GENERAL__other-educationaldegree",
124
+ "111": "B-GENERAL__product-other",
125
+ "112": "I-GENERAL__product-other",
126
+ "113": "B-GENERAL__building-other",
127
+ "114": "I-GENERAL__building-other",
128
+ "115": "B-GENERAL__person-artist/author",
129
+ "116": "I-GENERAL__person-artist/author",
130
+ "117": "B-GENERAL__organization-showorganization",
131
+ "118": "I-GENERAL__organization-showorganization",
132
+ "119": "B-GENERAL__location-road/railway/highway/transit",
133
+ "120": "I-GENERAL__location-road/railway/highway/transit",
134
+ "121": "B-GENERAL__building-hotel",
135
+ "122": "I-GENERAL__building-hotel",
136
+ "123": "B-GENERAL__organization-company",
137
+ "124": "I-GENERAL__organization-company"
138
+ },
139
+ "initializer_range": 0.02,
140
+ "intermediate_size": 3072,
141
+ "label2id": {
142
+ "B-DATETIME__absolute": 83,
143
+ "B-DATETIME__authored": 15,
144
+ "B-DATETIME__range": 7,
145
+ "B-DATETIME__relative": 23,
146
+ "B-GENERAL__art-broadcastprogram": 67,
147
+ "B-GENERAL__art-film": 95,
148
+ "B-GENERAL__art-music": 65,
149
+ "B-GENERAL__art-other": 75,
150
+ "B-GENERAL__art-painting": 97,
151
+ "B-GENERAL__art-writtenart": 19,
152
+ "B-GENERAL__building-airport": 71,
153
+ "B-GENERAL__building-hospital": 101,
154
+ "B-GENERAL__building-hotel": 121,
155
+ "B-GENERAL__building-library": 59,
156
+ "B-GENERAL__building-other": 113,
157
+ "B-GENERAL__building-restaurant": 33,
158
+ "B-GENERAL__building-sportsfacility": 13,
159
+ "B-GENERAL__building-theater": 93,
160
+ "B-GENERAL__event-attack/battle/war/militaryconflict": 5,
161
+ "B-GENERAL__event-other": 31,
162
+ "B-GENERAL__event-sportsevent": 41,
163
+ "B-GENERAL__location-GPE": 63,
164
+ "B-GENERAL__location-bodiesofwater": 17,
165
+ "B-GENERAL__location-island": 49,
166
+ "B-GENERAL__location-mountain": 35,
167
+ "B-GENERAL__location-other": 99,
168
+ "B-GENERAL__location-park": 39,
169
+ "B-GENERAL__location-road/railway/highway/transit": 119,
170
+ "B-GENERAL__organization-company": 123,
171
+ "B-GENERAL__organization-education": 51,
172
+ "B-GENERAL__organization-government/governmentagency": 25,
173
+ "B-GENERAL__organization-media/newspaper": 61,
174
+ "B-GENERAL__organization-other": 79,
175
+ "B-GENERAL__organization-religion": 37,
176
+ "B-GENERAL__organization-showorganization": 117,
177
+ "B-GENERAL__organization-sportsteam": 85,
178
+ "B-GENERAL__other-astronomything": 53,
179
+ "B-GENERAL__other-award": 9,
180
+ "B-GENERAL__other-biologything": 73,
181
+ "B-GENERAL__other-chemicalthing": 55,
182
+ "B-GENERAL__other-currency": 47,
183
+ "B-GENERAL__other-disease": 11,
184
+ "B-GENERAL__other-educationaldegree": 109,
185
+ "B-GENERAL__other-god": 21,
186
+ "B-GENERAL__other-language": 29,
187
+ "B-GENERAL__other-law": 57,
188
+ "B-GENERAL__other-livingthing": 43,
189
+ "B-GENERAL__other-medical": 91,
190
+ "B-GENERAL__person-artist/author": 115,
191
+ "B-GENERAL__person-other": 77,
192
+ "B-GENERAL__person-politician": 107,
193
+ "B-GENERAL__person-scholar": 3,
194
+ "B-GENERAL__person-soldier": 69,
195
+ "B-GENERAL__product-airplane": 103,
196
+ "B-GENERAL__product-car": 89,
197
+ "B-GENERAL__product-food": 45,
198
+ "B-GENERAL__product-game": 81,
199
+ "B-GENERAL__product-other": 111,
200
+ "B-GENERAL__product-ship": 105,
201
+ "B-GENERAL__product-software": 1,
202
+ "B-GENERAL__product-train": 87,
203
+ "B-GENERAL__product-weapon": 27,
204
+ "I-DATETIME__absolute": 84,
205
+ "I-DATETIME__authored": 16,
206
+ "I-DATETIME__range": 8,
207
+ "I-DATETIME__relative": 24,
208
+ "I-GENERAL__art-broadcastprogram": 68,
209
+ "I-GENERAL__art-film": 96,
210
+ "I-GENERAL__art-music": 66,
211
+ "I-GENERAL__art-other": 76,
212
+ "I-GENERAL__art-painting": 98,
213
+ "I-GENERAL__art-writtenart": 20,
214
+ "I-GENERAL__building-airport": 72,
215
+ "I-GENERAL__building-hospital": 102,
216
+ "I-GENERAL__building-hotel": 122,
217
+ "I-GENERAL__building-library": 60,
218
+ "I-GENERAL__building-other": 114,
219
+ "I-GENERAL__building-restaurant": 34,
220
+ "I-GENERAL__building-sportsfacility": 14,
221
+ "I-GENERAL__building-theater": 94,
222
+ "I-GENERAL__event-attack/battle/war/militaryconflict": 6,
223
+ "I-GENERAL__event-other": 32,
224
+ "I-GENERAL__event-sportsevent": 42,
225
+ "I-GENERAL__location-GPE": 64,
226
+ "I-GENERAL__location-bodiesofwater": 18,
227
+ "I-GENERAL__location-island": 50,
228
+ "I-GENERAL__location-mountain": 36,
229
+ "I-GENERAL__location-other": 100,
230
+ "I-GENERAL__location-park": 40,
231
+ "I-GENERAL__location-road/railway/highway/transit": 120,
232
+ "I-GENERAL__organization-company": 124,
233
+ "I-GENERAL__organization-education": 52,
234
+ "I-GENERAL__organization-government/governmentagency": 26,
235
+ "I-GENERAL__organization-media/newspaper": 62,
236
+ "I-GENERAL__organization-other": 80,
237
+ "I-GENERAL__organization-religion": 38,
238
+ "I-GENERAL__organization-showorganization": 118,
239
+ "I-GENERAL__organization-sportsteam": 86,
240
+ "I-GENERAL__other-astronomything": 54,
241
+ "I-GENERAL__other-award": 10,
242
+ "I-GENERAL__other-biologything": 74,
243
+ "I-GENERAL__other-chemicalthing": 56,
244
+ "I-GENERAL__other-currency": 48,
245
+ "I-GENERAL__other-disease": 12,
246
+ "I-GENERAL__other-educationaldegree": 110,
247
+ "I-GENERAL__other-god": 22,
248
+ "I-GENERAL__other-language": 30,
249
+ "I-GENERAL__other-law": 58,
250
+ "I-GENERAL__other-livingthing": 44,
251
+ "I-GENERAL__other-medical": 92,
252
+ "I-GENERAL__person-artist/author": 116,
253
+ "I-GENERAL__person-other": 78,
254
+ "I-GENERAL__person-politician": 108,
255
+ "I-GENERAL__person-scholar": 4,
256
+ "I-GENERAL__person-soldier": 70,
257
+ "I-GENERAL__product-airplane": 104,
258
+ "I-GENERAL__product-car": 90,
259
+ "I-GENERAL__product-food": 46,
260
+ "I-GENERAL__product-game": 82,
261
+ "I-GENERAL__product-other": 112,
262
+ "I-GENERAL__product-ship": 106,
263
+ "I-GENERAL__product-software": 2,
264
+ "I-GENERAL__product-train": 88,
265
+ "I-GENERAL__product-weapon": 28,
266
+ "O": 0
267
+ },
268
+ "layer_norm_eps": 1e-12,
269
+ "max_position_embeddings": 512,
270
+ "model_type": "bert",
271
+ "num_attention_heads": 12,
272
+ "num_hidden_layers": 12,
273
+ "pad_token_id": 0,
274
+ "position_embedding_type": "absolute",
275
+ "torch_dtype": "float32",
276
+ "transformers_version": "4.42.3",
277
+ "type_vocab_size": 2,
278
+ "use_cache": true,
279
+ "vocab_size": 30522
280
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9266b764f26d0eb755b6e776e08a7f137e21b7c8852331654427b35e8612ebbf
3
+ size 435974436
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
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
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": "BertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e65be79e61a6d700406132550d6d41d9406e83c680954dba6996cc9a865c91a
3
+ size 5112
vocab.txt ADDED
The diff for this file is too large to render. See raw diff