Hugging Face's logo

waterabbit114
/
my-setfit-classifier_threat

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Model card Files Community
waterabbit114 commited on
Commit
1057187
•
1 Parent(s): 40c3e92

Add SetFit model

Browse files
Files changed (13) hide show
  1. 1_Pooling/config.json +7 -0
  2. README.md +341 -0
  3. config.json +24 -0
  4. config_sentence_transformers.json +7 -0
  5. config_setfit.json +4 -0
  6. model.safetensors +3 -0
  7. model_head.pkl +3 -0
  8. modules.json +14 -0
  9. sentence_bert_config.json +4 -0
  10. special_tokens_map.json +51 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +59 -0
  13. vocab.txt +0 -0
1_Pooling/config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 768,
3
+ "pooling_mode_cls_token": false,
4
+ "pooling_mode_mean_tokens": true,
5
+ "pooling_mode_max_tokens": false,
6
+ "pooling_mode_mean_sqrt_len_tokens": false
7
+ }
README.md ADDED
@@ -0,0 +1,341 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: setfit
3
+ tags:
4
+ - setfit
5
+ - sentence-transformers
6
+ - text-classification
7
+ - generated_from_setfit_trainer
8
+ metrics:
9
+ - accuracy
10
+ widget:
11
+ - text: is completely right on this. carnildo’s comment is just a waste of space.
12
+ 176.12.107.140
13
+ - text: '" please do not vandalize pages, as you did with this edit to bella swan.
14
+ if you continue to do so, you will be blocked from editing. (talk) "'
15
+ - text: ipv6 mirc doesn't natively supports ipv6 protocols. it could be enabled
16
+ by adding a external dll plugin who will enable a special protocol for dns and
17
+ connecting to ipv6 servers.
18
+ - text: '" link thanks for fixing that disambiguation link on usher''s album )
19
+ flash; "'
20
+ - text: '|b-class-1= yes |b-class-2= yes |b-class-3= yes |b-class-4= yes |b-class-5=
21
+ yes'
22
+ pipeline_tag: text-classification
23
+ inference: true
24
+ base_model: sentence-transformers/paraphrase-mpnet-base-v2
25
+ ---
26
+
27
+ # SetFit with sentence-transformers/paraphrase-mpnet-base-v2
28
+
29
+ This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
30
+
31
+ The model has been trained using an efficient few-shot learning technique that involves:
32
+
33
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
34
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
35
+
36
+ ## Model Details
37
+
38
+ ### Model Description
39
+ - **Model Type:** SetFit
40
+ - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
41
+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
42
+ - **Maximum Sequence Length:** 512 tokens
43
+ - **Number of Classes:** 2 classes
44
+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
45
+ <!-- - **Language:** Unknown -->
46
+ <!-- - **License:** Unknown -->
47
+
48
+ ### Model Sources
49
+
50
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
51
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
52
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
53
+
54
+ ### Model Labels
55
+ | Label | Examples |
56
+ |:------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
57
+ | 0 | <ul><li>', metal unless it was 70s oldskool'</li><li>"do whichever you think would be best then: if you rename the account, just let me know, and i'll go over there to recreate it; but if you'd prefer to rename the account, recreate it, and send me the password which i can then change, that's fine with me."</li><li>'" no, it was a far-too-much-of-an-in-joke on the fact that principle→principal is usually one of the first things the fa regulars jump on (along with the dreaded spaced em dash)\xa0–\xa0scent "'</li></ul> |
58
+ | 1 | <ul><li>"i'm going to kill you zink dawg your a scrap and a fag and you need to die. i'm going to kill you if someone else doesn't. you better keep protecting your user space because i will keep vandalizing it."</li><li>"hope your head gets cut off and someone wipes there ass with it and then stabs you in your heart!!! no one can keep me from here you dumb piece of shit, not yamla's ass ass or you!!! now hurry up and sit in some traffic so i can see your head roll down the street"</li><li>'unblock me now you piece of shit! or i will find you and kill you, slowly and painfully!'</li></ul> |
59
+
60
+ ## Uses
61
+
62
+ ### Direct Use for Inference
63
+
64
+ First install the SetFit library:
65
+
66
+ ```bash
67
+ pip install setfit
68
+ ```
69
+
70
+ Then you can load this model and run inference.
71
+
72
+ ```python
73
+ from setfit import SetFitModel
74
+
75
+ # Download from the 🤗 Hub
76
+ model = SetFitModel.from_pretrained("waterabbit114/my-setfit-classifier_threat")
77
+ # Run inference
78
+ preds = model("\" link thanks for fixing that disambiguation link on usher's album ) flash; \"")
79
+ ```
80
+
81
+ <!--
82
+ ### Downstream Use
83
+
84
+ *List how someone could finetune this model on their own dataset.*
85
+ -->
86
+
87
+ <!--
88
+ ### Out-of-Scope Use
89
+
90
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
91
+ -->
92
+
93
+ <!--
94
+ ## Bias, Risks and Limitations
95
+
96
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
97
+ -->
98
+
99
+ <!--
100
+ ### Recommendations
101
+
102
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
103
+ -->
104
+
105
+ ## Training Details
106
+
107
+ ### Training Set Metrics
108
+ | Training set | Min | Median | Max |
109
+ |:-------------|:----|:-------|:----|
110
+ | Word count | 3 | 50.65 | 426 |
111
+
112
+ | Label | Training Sample Count |
113
+ |:------|:----------------------|
114
+ | 0 | 10 |
115
+ | 1 | 10 |
116
+
117
+ ### Training Hyperparameters
118
+ - batch_size: (1, 1)
119
+ - num_epochs: (10, 10)
120
+ - max_steps: -1
121
+ - sampling_strategy: oversampling
122
+ - num_iterations: 20
123
+ - body_learning_rate: (2e-05, 2e-05)
124
+ - head_learning_rate: 2e-05
125
+ - loss: CosineSimilarityLoss
126
+ - distance_metric: cosine_distance
127
+ - margin: 0.25
128
+ - end_to_end: False
129
+ - use_amp: False
130
+ - warmup_proportion: 0.1
131
+ - seed: 42
132
+ - eval_max_steps: -1
133
+ - load_best_model_at_end: False
134
+
135
+ ### Training Results
136
+ | Epoch | Step | Training Loss | Validation Loss |
137
+ |:------:|:----:|:-------------:|:---------------:|
138
+ | 0.0013 | 1 | 0.192 | - |
139
+ | 0.0625 | 50 | 0.0173 | - |
140
+ | 0.125 | 100 | 0.0013 | - |
141
+ | 0.1875 | 150 | 0.0024 | - |
142
+ | 0.25 | 200 | 0.0002 | - |
143
+ | 0.3125 | 250 | 0.0 | - |
144
+ | 0.375 | 300 | 0.0 | - |
145
+ | 0.4375 | 350 | 0.0006 | - |
146
+ | 0.5 | 400 | 0.0003 | - |
147
+ | 0.5625 | 450 | 0.0001 | - |
148
+ | 0.625 | 500 | 0.0001 | - |
149
+ | 0.6875 | 550 | 0.0002 | - |
150
+ | 0.75 | 600 | 0.0008 | - |
151
+ | 0.8125 | 650 | 0.0002 | - |
152
+ | 0.875 | 700 | 0.0001 | - |
153
+ | 0.9375 | 750 | 0.0009 | - |
154
+ | 1.0 | 800 | 0.0001 | - |
155
+ | 1.0625 | 850 | 0.0001 | - |
156
+ | 1.125 | 900 | 0.0001 | - |
157
+ | 1.1875 | 950 | 0.0 | - |
158
+ | 1.25 | 1000 | 0.0 | - |
159
+ | 1.3125 | 1050 | 0.0 | - |
160
+ | 1.375 | 1100 | 0.0001 | - |
161
+ | 1.4375 | 1150 | 0.0 | - |
162
+ | 1.5 | 1200 | 0.0 | - |
163
+ | 1.5625 | 1250 | 0.0 | - |
164
+ | 1.625 | 1300 | 0.0 | - |
165
+ | 1.6875 | 1350 | 0.0 | - |
166
+ | 1.75 | 1400 | 0.0003 | - |
167
+ | 1.8125 | 1450 | 0.0001 | - |
168
+ | 1.875 | 1500 | 0.0 | - |
169
+ | 1.9375 | 1550 | 0.0001 | - |
170
+ | 2.0 | 1600 | 0.0 | - |
171
+ | 2.0625 | 1650 | 0.0 | - |
172
+ | 2.125 | 1700 | 0.0001 | - |
173
+ | 2.1875 | 1750 | 0.0 | - |
174
+ | 2.25 | 1800 | 0.0 | - |
175
+ | 2.3125 | 1850 | 0.0 | - |
176
+ | 2.375 | 1900 | 0.0 | - |
177
+ | 2.4375 | 1950 | 0.0 | - |
178
+ | 2.5 | 2000 | 0.0 | - |
179
+ | 2.5625 | 2050 | 0.0 | - |
180
+ | 2.625 | 2100 | 0.0001 | - |
181
+ | 2.6875 | 2150 | 0.0 | - |
182
+ | 2.75 | 2200 | 0.0 | - |
183
+ | 2.8125 | 2250 | 0.0002 | - |
184
+ | 2.875 | 2300 | 0.0 | - |
185
+ | 2.9375 | 2350 | 0.0 | - |
186
+ | 3.0 | 2400 | 0.0002 | - |
187
+ | 3.0625 | 2450 | 0.0 | - |
188
+ | 3.125 | 2500 | 0.0001 | - |
189
+ | 3.1875 | 2550 | 0.0001 | - |
190
+ | 3.25 | 2600 | 0.0001 | - |
191
+ | 3.3125 | 2650 | 0.0 | - |
192
+ | 3.375 | 2700 | 0.0 | - |
193
+ | 3.4375 | 2750 | 0.0 | - |
194
+ | 3.5 | 2800 | 0.0 | - |
195
+ | 3.5625 | 2850 | 0.0 | - |
196
+ | 3.625 | 2900 | 0.0 | - |
197
+ | 3.6875 | 2950 | 0.0 | - |
198
+ | 3.75 | 3000 | 0.0 | - |
199
+ | 3.8125 | 3050 | 0.0 | - |
200
+ | 3.875 | 3100 | 0.0002 | - |
201
+ | 3.9375 | 3150 | 0.0 | - |
202
+ | 4.0 | 3200 | 0.0 | - |
203
+ | 4.0625 | 3250 | 0.0001 | - |
204
+ | 4.125 | 3300 | 0.0001 | - |
205
+ | 4.1875 | 3350 | 0.0 | - |
206
+ | 4.25 | 3400 | 0.0004 | - |
207
+ | 4.3125 | 3450 | 0.0001 | - |
208
+ | 4.375 | 3500 | 0.0001 | - |
209
+ | 4.4375 | 3550 | 0.0001 | - |
210
+ | 4.5 | 3600 | 0.0 | - |
211
+ | 4.5625 | 3650 | 0.0 | - |
212
+ | 4.625 | 3700 | 0.0 | - |
213
+ | 4.6875 | 3750 | 0.0 | - |
214
+ | 4.75 | 3800 | 0.0 | - |
215
+ | 4.8125 | 3850 | 0.0 | - |
216
+ | 4.875 | 3900 | 0.0001 | - |
217
+ | 4.9375 | 3950 | 0.0 | - |
218
+ | 5.0 | 4000 | 0.0 | - |
219
+ | 5.0625 | 4050 | 0.0 | - |
220
+ | 5.125 | 4100 | 0.0 | - |
221
+ | 5.1875 | 4150 | 0.0 | - |
222
+ | 5.25 | 4200 | 0.0 | - |
223
+ | 5.3125 | 4250 | 0.0002 | - |
224
+ | 5.375 | 4300 | 0.0 | - |
225
+ | 5.4375 | 4350 | 0.0 | - |
226
+ | 5.5 | 4400 | 0.0 | - |
227
+ | 5.5625 | 4450 | 0.0001 | - |
228
+ | 5.625 | 4500 | 0.0 | - |
229
+ | 5.6875 | 4550 | 0.0 | - |
230
+ | 5.75 | 4600 | 0.0002 | - |
231
+ | 5.8125 | 4650 | 0.0 | - |
232
+ | 5.875 | 4700 | 0.0 | - |
233
+ | 5.9375 | 4750 | 0.0 | - |
234
+ | 6.0 | 4800 | 0.0 | - |
235
+ | 6.0625 | 4850 | 0.0 | - |
236
+ | 6.125 | 4900 | 0.0 | - |
237
+ | 6.1875 | 4950 | 0.0 | - |
238
+ | 6.25 | 5000 | 0.0 | - |
239
+ | 6.3125 | 5050 | 0.0 | - |
240
+ | 6.375 | 5100 | 0.0001 | - |
241
+ | 6.4375 | 5150 | 0.0 | - |
242
+ | 6.5 | 5200 | 0.0 | - |
243
+ | 6.5625 | 5250 | 0.0 | - |
244
+ | 6.625 | 5300 | 0.0 | - |
245
+ | 6.6875 | 5350 | 0.0 | - |
246
+ | 6.75 | 5400 | 0.0 | - |
247
+ | 6.8125 | 5450 | 0.0 | - |
248
+ | 6.875 | 5500 | 0.0 | - |
249
+ | 6.9375 | 5550 | 0.0 | - |
250
+ | 7.0 | 5600 | 0.0 | - |
251
+ | 7.0625 | 5650 | 0.0 | - |
252
+ | 7.125 | 5700 | 0.0 | - |
253
+ | 7.1875 | 5750 | 0.0 | - |
254
+ | 7.25 | 5800 | 0.0001 | - |
255
+ | 7.3125 | 5850 | 0.0 | - |
256
+ | 7.375 | 5900 | 0.0 | - |
257
+ | 7.4375 | 5950 | 0.0 | - |
258
+ | 7.5 | 6000 | 0.0 | - |
259
+ | 7.5625 | 6050 | 0.0 | - |
260
+ | 7.625 | 6100 | 0.0 | - |
261
+ | 7.6875 | 6150 | 0.0 | - |
262
+ | 7.75 | 6200 | 0.0 | - |
263
+ | 7.8125 | 6250 | 0.0 | - |
264
+ | 7.875 | 6300 | 0.0 | - |
265
+ | 7.9375 | 6350 | 0.0 | - |
266
+ | 8.0 | 6400 | 0.0 | - |
267
+ | 8.0625 | 6450 | 0.0 | - |
268
+ | 8.125 | 6500 | 0.0 | - |
269
+ | 8.1875 | 6550 | 0.0 | - |
270
+ | 8.25 | 6600 | 0.0 | - |
271
+ | 8.3125 | 6650 | 0.0 | - |
272
+ | 8.375 | 6700 | 0.0 | - |
273
+ | 8.4375 | 6750 | 0.0 | - |
274
+ | 8.5 | 6800 | 0.0 | - |
275
+ | 8.5625 | 6850 | 0.0 | - |
276
+ | 8.625 | 6900 | 0.0 | - |
277
+ | 8.6875 | 6950 | 0.0 | - |
278
+ | 8.75 | 7000 | 0.0 | - |
279
+ | 8.8125 | 7050 | 0.0 | - |
280
+ | 8.875 | 7100 | 0.0 | - |
281
+ | 8.9375 | 7150 | 0.0 | - |
282
+ | 9.0 | 7200 | 0.0 | - |
283
+ | 9.0625 | 7250 | 0.0 | - |
284
+ | 9.125 | 7300 | 0.0 | - |
285
+ | 9.1875 | 7350 | 0.0 | - |
286
+ | 9.25 | 7400 | 0.0 | - |
287
+ | 9.3125 | 7450 | 0.0 | - |
288
+ | 9.375 | 7500 | 0.0 | - |
289
+ | 9.4375 | 7550 | 0.0 | - |
290
+ | 9.5 | 7600 | 0.0 | - |
291
+ | 9.5625 | 7650 | 0.0 | - |
292
+ | 9.625 | 7700 | 0.0 | - |
293
+ | 9.6875 | 7750 | 0.0 | - |
294
+ | 9.75 | 7800 | 0.0 | - |
295
+ | 9.8125 | 7850 | 0.0 | - |
296
+ | 9.875 | 7900 | 0.0 | - |
297
+ | 9.9375 | 7950 | 0.0 | - |
298
+ | 10.0 | 8000 | 0.0 | - |
299
+
300
+ ### Framework Versions
301
+ - Python: 3.11.7
302
+ - SetFit: 1.0.3
303
+ - Sentence Transformers: 2.2.2
304
+ - Transformers: 4.35.2
305
+ - PyTorch: 2.1.1+cu121
306
+ - Datasets: 2.14.5
307
+ - Tokenizers: 0.15.1
308
+
309
+ ## Citation
310
+
311
+ ### BibTeX
312
+ ```bibtex
313
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
314
+ doi = {10.48550/ARXIV.2209.11055},
315
+ url = {https://arxiv.org/abs/2209.11055},
316
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
317
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
318
+ title = {Efficient Few-Shot Learning Without Prompts},
319
+ publisher = {arXiv},
320
+ year = {2022},
321
+ copyright = {Creative Commons Attribution 4.0 International}
322
+ }
323
+ ```
324
+
325
+ <!--
326
+ ## Glossary
327
+
328
+ *Clearly define terms in order to be accessible across audiences.*
329
+ -->
330
+
331
+ <!--
332
+ ## Model Card Authors
333
+
334
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
335
+ -->
336
+
337
+ <!--
338
+ ## Model Card Contact
339
+
340
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
341
+ -->
config.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/root/.cache/torch/sentence_transformers/sentence-transformers_paraphrase-mpnet-base-v2/",
3
+ "architectures": [
4
+ "MPNetModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "eos_token_id": 2,
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-05,
15
+ "max_position_embeddings": 514,
16
+ "model_type": "mpnet",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 1,
20
+ "relative_attention_num_buckets": 32,
21
+ "torch_dtype": "float32",
22
+ "transformers_version": "4.35.2",
23
+ "vocab_size": 30527
24
+ }
config_sentence_transformers.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "2.0.0",
4
+ "transformers": "4.7.0",
5
+ "pytorch": "1.9.0+cu102"
6
+ }
7
+ }
config_setfit.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "labels": null,
3
+ "normalize_embeddings": false
4
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cc14942d2385fa46eb94e142303006cedc4ff0a5b5fe4ef6ebb16d5c5fe2fc0
3
+ size 437967672
model_head.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80d221667f1588afd0965785650da9ffd5f337120802e91984b56b1d6530a1d5
3
+ size 7007
modules.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "idx": 0,
4
+ "name": "0",
5
+ "path": "",
6
+ "type": "sentence_transformers.models.Transformer"
7
+ },
8
+ {
9
+ "idx": 1,
10
+ "name": "1",
11
+ "path": "1_Pooling",
12
+ "type": "sentence_transformers.models.Pooling"
13
+ }
14
+ ]
sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 512,
3
+ "do_lower_case": false
4
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "[UNK]",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<pad>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "104": {
28
+ "content": "[UNK]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "30526": {
36
+ "content": "<mask>",
37
+ "lstrip": true,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "bos_token": "<s>",
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "<s>",
47
+ "do_basic_tokenize": true,
48
+ "do_lower_case": true,
49
+ "eos_token": "</s>",
50
+ "mask_token": "<mask>",
51
+ "model_max_length": 512,
52
+ "never_split": null,
53
+ "pad_token": "<pad>",
54
+ "sep_token": "</s>",
55
+ "strip_accents": null,
56
+ "tokenize_chinese_chars": true,
57
+ "tokenizer_class": "MPNetTokenizer",
58
+ "unk_token": "[UNK]"
59
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff