Hugging Face's logo

pEpOo
/
catastrophy5

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Eval Results
Model card Files Community
pEpOo commited on
Commit
d79d97b
·
1 Parent(s): 119213a

Add SetFit model

Browse files
Files changed (13) hide show
  1. 1_Pooling/config.json +7 -0
  2. README.md +349 -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 +20 -0
  9. sentence_bert_config.json +4 -0
  10. special_tokens_map.json +51 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +72 -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 +1,349 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: A traumatised dog that was found buried up to its head in dirt in France is
12
+ now in safe hands. This is such a... http://t.co/AGQo1479xM
13
+ - text: 'Hibernating pbx irrespective of pitch fatality careerism pan: crbZFZ'
14
+ - text: Stuart Broad Takes Eight Before Joe Root Runs Riot Against Aussies
15
+ - text: Maj Muzzamil Pilot Offr of MI-17 crashed near Mansehra today. http://t.co/kL4R1ccWct
16
+ - text: '@AdriaSimon_: Hailstorm day 2.... #round2 #yyc #yycstorm http://t.co/FqQI8GVLQ4'
17
+ pipeline_tag: text-classification
18
+ inference: true
19
+ base_model: sentence-transformers/all-mpnet-base-v2
20
+ model-index:
21
+ - name: SetFit with sentence-transformers/all-mpnet-base-v2
22
+ results:
23
+ - task:
24
+ type: text-classification
25
+ name: Text Classification
26
+ dataset:
27
+ name: Unknown
28
+ type: unknown
29
+ split: test
30
+ metrics:
31
+ - type: accuracy
32
+ value: 0.8172066549912435
33
+ name: Accuracy
34
+ ---
35
+
36
+ # SetFit with sentence-transformers/all-mpnet-base-v2
37
+
38
+ This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-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.
39
+
40
+ The model has been trained using an efficient few-shot learning technique that involves:
41
+
42
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
43
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
44
+
45
+ ## Model Details
46
+
47
+ ### Model Description
48
+ - **Model Type:** SetFit
49
+ - **Sentence Transformer body:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2)
50
+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
51
+ - **Maximum Sequence Length:** 384 tokens
52
+ - **Number of Classes:** 2 classes
53
+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
54
+ <!-- - **Language:** Unknown -->
55
+ <!-- - **License:** Unknown -->
56
+
57
+ ### Model Sources
58
+
59
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
60
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
61
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
62
+
63
+ ### Model Labels
64
+ | Label | Examples |
65
+ |:------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
66
+ | 0 | <ul><li>"Was '80s New #Wave a #Casualty of #AIDS?: Tweet And Since they\x89Ûªd grown up watching David\x89Û_ http://t.co/qBecjli7cx"</li><li>"@CharlesDagnall He's getting 50 here I think. Salt. Wounds. Rub. In."</li><li>'Navy sidelines 3 newest subs http://t.co/gpVZV0249Y'</li></ul> |
67
+ | 1 | <ul><li>'The Latest: More Homes Razed by Northern California Wildfire - ABC News http://t.co/bKsYymvIsg #GN'</li><li>'@Durban_Knight Rescuers are searching for hundreds of migrants in the Mediterranean after a boat carr... http://t.co/cWCVBuBs01 @Nosy_Be'</li><li>'NEMA Ekiti distributed relief materials to affected victims of Rain/Windstorm disaster at Ode-Ekiti in Gbonyin LGA.'</li></ul> |
68
+
69
+ ## Evaluation
70
+
71
+ ### Metrics
72
+ | Label | Accuracy |
73
+ |:--------|:---------|
74
+ | **all** | 0.8172 |
75
+
76
+ ## Uses
77
+
78
+ ### Direct Use for Inference
79
+
80
+ First install the SetFit library:
81
+
82
+ ```bash
83
+ pip install setfit
84
+ ```
85
+
86
+ Then you can load this model and run inference.
87
+
88
+ ```python
89
+ from setfit import SetFitModel
90
+
91
+ # Download from the 🤗 Hub
92
+ model = SetFitModel.from_pretrained("pEpOo/catastrophy5")
93
+ # Run inference
94
+ preds = model("Stuart Broad Takes Eight Before Joe Root Runs Riot Against Aussies")
95
+ ```
96
+
97
+ <!--
98
+ ### Downstream Use
99
+
100
+ *List how someone could finetune this model on their own dataset.*
101
+ -->
102
+
103
+ <!--
104
+ ### Out-of-Scope Use
105
+
106
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
107
+ -->
108
+
109
+ <!--
110
+ ## Bias, Risks and Limitations
111
+
112
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
113
+ -->
114
+
115
+ <!--
116
+ ### Recommendations
117
+
118
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
119
+ -->
120
+
121
+ ## Training Details
122
+
123
+ ### Training Set Metrics
124
+ | Training set | Min | Median | Max |
125
+ |:-------------|:----|:--------|:----|
126
+ | Word count | 1 | 14.9796 | 54 |
127
+
128
+ | Label | Training Sample Count |
129
+ |:------|:----------------------|
130
+ | 0 | 1732 |
131
+ | 1 | 1313 |
132
+
133
+ ### Training Hyperparameters
134
+ - batch_size: (16, 16)
135
+ - num_epochs: (1, 1)
136
+ - max_steps: -1
137
+ - sampling_strategy: oversampling
138
+ - num_iterations: 20
139
+ - body_learning_rate: (2e-05, 2e-05)
140
+ - head_learning_rate: 2e-05
141
+ - loss: CosineSimilarityLoss
142
+ - distance_metric: cosine_distance
143
+ - margin: 0.25
144
+ - end_to_end: False
145
+ - use_amp: False
146
+ - warmup_proportion: 0.1
147
+ - seed: 42
148
+ - eval_max_steps: -1
149
+ - load_best_model_at_end: False
150
+
151
+ ### Training Results
152
+ | Epoch | Step | Training Loss | Validation Loss |
153
+ |:------:|:----:|:-------------:|:---------------:|
154
+ | 0.0001 | 1 | 0.3383 | - |
155
+ | 0.0066 | 50 | 0.352 | - |
156
+ | 0.0131 | 100 | 0.3529 | - |
157
+ | 0.0197 | 150 | 0.2286 | - |
158
+ | 0.0263 | 200 | 0.2654 | - |
159
+ | 0.0328 | 250 | 0.2892 | - |
160
+ | 0.0394 | 300 | 0.1808 | - |
161
+ | 0.0460 | 350 | 0.2056 | - |
162
+ | 0.0525 | 400 | 0.0863 | - |
163
+ | 0.0591 | 450 | 0.2034 | - |
164
+ | 0.0657 | 500 | 0.1339 | - |
165
+ | 0.0722 | 550 | 0.1022 | - |
166
+ | 0.0788 | 600 | 0.1083 | - |
167
+ | 0.0854 | 650 | 0.1035 | - |
168
+ | 0.0919 | 700 | 0.1201 | - |
169
+ | 0.0985 | 750 | 0.0626 | - |
170
+ | 0.1051 | 800 | 0.1257 | - |
171
+ | 0.1117 | 850 | 0.1543 | - |
172
+ | 0.1182 | 900 | 0.0367 | - |
173
+ | 0.1248 | 950 | 0.1749 | - |
174
+ | 0.1314 | 1000 | 0.0553 | - |
175
+ | 0.1379 | 1050 | 0.0836 | - |
176
+ | 0.1445 | 1100 | 0.0161 | - |
177
+ | 0.1511 | 1150 | 0.1149 | - |
178
+ | 0.1576 | 1200 | 0.1144 | - |
179
+ | 0.1642 | 1250 | 0.0028 | - |
180
+ | 0.1708 | 1300 | 0.0037 | - |
181
+ | 0.1773 | 1350 | 0.1769 | - |
182
+ | 0.1839 | 1400 | 0.0172 | - |
183
+ | 0.1905 | 1450 | 0.0397 | - |
184
+ | 0.1970 | 1500 | 0.0645 | - |
185
+ | 0.2036 | 1550 | 0.0659 | - |
186
+ | 0.2102 | 1600 | 0.0014 | - |
187
+ | 0.2167 | 1650 | 0.0016 | - |
188
+ | 0.2233 | 1700 | 0.0729 | - |
189
+ | 0.2299 | 1750 | 0.0072 | - |
190
+ | 0.2364 | 1800 | 0.0175 | - |
191
+ | 0.2430 | 1850 | 0.0278 | - |
192
+ | 0.2496 | 1900 | 0.0537 | - |
193
+ | 0.2561 | 1950 | 0.0038 | - |
194
+ | 0.2627 | 2000 | 0.087 | - |
195
+ | 0.2693 | 2050 | 0.0459 | - |
196
+ | 0.2758 | 2100 | 0.0169 | - |
197
+ | 0.2824 | 2150 | 0.0112 | - |
198
+ | 0.2890 | 2200 | 0.001 | - |
199
+ | 0.2955 | 2250 | 0.0204 | - |
200
+ | 0.3021 | 2300 | 0.0796 | - |
201
+ | 0.3087 | 2350 | 0.0592 | - |
202
+ | 0.3153 | 2400 | 0.0003 | - |
203
+ | 0.3218 | 2450 | 0.0033 | - |
204
+ | 0.3284 | 2500 | 0.0309 | - |
205
+ | 0.3350 | 2550 | 0.0065 | - |
206
+ | 0.3415 | 2600 | 0.002 | - |
207
+ | 0.3481 | 2650 | 0.0076 | - |
208
+ | 0.3547 | 2700 | 0.0008 | - |
209
+ | 0.3612 | 2750 | 0.0023 | - |
210
+ | 0.3678 | 2800 | 0.0028 | - |
211
+ | 0.3744 | 2850 | 0.0171 | - |
212
+ | 0.3809 | 2900 | 0.0011 | - |
213
+ | 0.3875 | 2950 | 0.0015 | - |
214
+ | 0.3941 | 3000 | 0.0468 | - |
215
+ | 0.4006 | 3050 | 0.0075 | - |
216
+ | 0.4072 | 3100 | 0.0009 | - |
217
+ | 0.4138 | 3150 | 0.0334 | - |
218
+ | 0.4203 | 3200 | 0.0002 | - |
219
+ | 0.4269 | 3250 | 0.0001 | - |
220
+ | 0.4335 | 3300 | 0.0002 | - |
221
+ | 0.4400 | 3350 | 0.0001 | - |
222
+ | 0.4466 | 3400 | 0.021 | - |
223
+ | 0.4532 | 3450 | 0.0043 | - |
224
+ | 0.4597 | 3500 | 0.0084 | - |
225
+ | 0.4663 | 3550 | 0.0009 | - |
226
+ | 0.4729 | 3600 | 0.0033 | - |
227
+ | 0.4794 | 3650 | 0.0035 | - |
228
+ | 0.4860 | 3700 | 0.0004 | - |
229
+ | 0.4926 | 3750 | 0.0297 | - |
230
+ | 0.4991 | 3800 | 0.0004 | - |
231
+ | 0.5057 | 3850 | 0.0011 | - |
232
+ | 0.5123 | 3900 | 0.0238 | - |
233
+ | 0.5188 | 3950 | 0.0248 | - |
234
+ | 0.5254 | 4000 | 0.0293 | - |
235
+ | 0.5320 | 4050 | 0.0365 | - |
236
+ | 0.5386 | 4100 | 0.0261 | - |
237
+ | 0.5451 | 4150 | 0.0469 | - |
238
+ | 0.5517 | 4200 | 0.0098 | - |
239
+ | 0.5583 | 4250 | 0.0002 | - |
240
+ | 0.5648 | 4300 | 0.0236 | - |
241
+ | 0.5714 | 4350 | 0.0001 | - |
242
+ | 0.5780 | 4400 | 0.0001 | - |
243
+ | 0.5845 | 4450 | 0.0001 | - |
244
+ | 0.5911 | 4500 | 0.0138 | - |
245
+ | 0.5977 | 4550 | 0.0116 | - |
246
+ | 0.6042 | 4600 | 0.0003 | - |
247
+ | 0.6108 | 4650 | 0.0003 | - |
248
+ | 0.6174 | 4700 | 0.0001 | - |
249
+ | 0.6239 | 4750 | 0.0 | - |
250
+ | 0.6305 | 4800 | 0.0246 | - |
251
+ | 0.6371 | 4850 | 0.0001 | - |
252
+ | 0.6436 | 4900 | 0.0543 | - |
253
+ | 0.6502 | 4950 | 0.0001 | - |
254
+ | 0.6568 | 5000 | 0.0093 | - |
255
+ | 0.6633 | 5050 | 0.0001 | - |
256
+ | 0.6699 | 5100 | 0.0 | - |
257
+ | 0.6765 | 5150 | 0.0002 | - |
258
+ | 0.6830 | 5200 | 0.0001 | - |
259
+ | 0.6896 | 5250 | 0.0372 | - |
260
+ | 0.6962 | 5300 | 0.0 | - |
261
+ | 0.7027 | 5350 | 0.0001 | - |
262
+ | 0.7093 | 5400 | 0.0001 | - |
263
+ | 0.7159 | 5450 | 0.0003 | - |
264
+ | 0.7224 | 5500 | 0.0004 | - |
265
+ | 0.7290 | 5550 | 0.0001 | - |
266
+ | 0.7356 | 5600 | 0.0 | - |
267
+ | 0.7422 | 5650 | 0.0 | - |
268
+ | 0.7487 | 5700 | 0.0001 | - |
269
+ | 0.7553 | 5750 | 0.0001 | - |
270
+ | 0.7619 | 5800 | 0.0 | - |
271
+ | 0.7684 | 5850 | 0.0 | - |
272
+ | 0.7750 | 5900 | 0.0 | - |
273
+ | 0.7816 | 5950 | 0.0 | - |
274
+ | 0.7881 | 6000 | 0.0 | - |
275
+ | 0.7947 | 6050 | 0.0 | - |
276
+ | 0.8013 | 6100 | 0.0 | - |
277
+ | 0.8078 | 6150 | 0.0001 | - |
278
+ | 0.8144 | 6200 | 0.0001 | - |
279
+ | 0.8210 | 6250 | 0.0 | - |
280
+ | 0.8275 | 6300 | 0.0 | - |
281
+ | 0.8341 | 6350 | 0.0 | - |
282
+ | 0.8407 | 6400 | 0.0002 | - |
283
+ | 0.8472 | 6450 | 0.0 | - |
284
+ | 0.8538 | 6500 | 0.0001 | - |
285
+ | 0.8604 | 6550 | 0.0 | - |
286
+ | 0.8669 | 6600 | 0.0001 | - |
287
+ | 0.8735 | 6650 | 0.0001 | - |
288
+ | 0.8801 | 6700 | 0.0 | - |
289
+ | 0.8866 | 6750 | 0.0 | - |
290
+ | 0.8932 | 6800 | 0.0373 | - |
291
+ | 0.8998 | 6850 | 0.0 | - |
292
+ | 0.9063 | 6900 | 0.0 | - |
293
+ | 0.9129 | 6950 | 0.0272 | - |
294
+ | 0.9195 | 7000 | 0.0 | - |
295
+ | 0.9260 | 7050 | 0.0 | - |
296
+ | 0.9326 | 7100 | 0.0001 | - |
297
+ | 0.9392 | 7150 | 0.0 | - |
298
+ | 0.9458 | 7200 | 0.0002 | - |
299
+ | 0.9523 | 7250 | 0.0001 | - |
300
+ | 0.9589 | 7300 | 0.0 | - |
301
+ | 0.9655 | 7350 | 0.0 | - |
302
+ | 0.9720 | 7400 | 0.0 | - |
303
+ | 0.9786 | 7450 | 0.0001 | - |
304
+ | 0.9852 | 7500 | 0.0 | - |
305
+ | 0.9917 | 7550 | 0.0 | - |
306
+ | 0.9983 | 7600 | 0.0 | - |
307
+
308
+ ### Framework Versions
309
+ - Python: 3.10.12
310
+ - SetFit: 1.0.1
311
+ - Sentence Transformers: 2.2.2
312
+ - Transformers: 4.35.2
313
+ - PyTorch: 2.1.0+cu121
314
+ - Datasets: 2.15.0
315
+ - Tokenizers: 0.15.0
316
+
317
+ ## Citation
318
+
319
+ ### BibTeX
320
+ ```bibtex
321
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
322
+ doi = {10.48550/ARXIV.2209.11055},
323
+ url = {https://arxiv.org/abs/2209.11055},
324
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
325
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
326
+ title = {Efficient Few-Shot Learning Without Prompts},
327
+ publisher = {arXiv},
328
+ year = {2022},
329
+ copyright = {Creative Commons Attribution 4.0 International}
330
+ }
331
+ ```
332
+
333
+ <!--
334
+ ## Glossary
335
+
336
+ *Clearly define terms in order to be accessible across audiences.*
337
+ -->
338
+
339
+ <!--
340
+ ## Model Card Authors
341
+
342
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
343
+ -->
344
+
345
+ <!--
346
+ ## Model Card Contact
347
+
348
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
349
+ -->
config.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/root/.cache/torch/sentence_transformers/sentence-transformers_all-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": "4.6.1",
5
+ "pytorch": "1.8.1"
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:d245ccb27da0893d9fc0d06e9e42df6820332216c9fc6b58fea364d050229b06
3
+ size 437967672
model_head.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:091eae4fef7fe5a224f06fb2273811a53d5156b704ba14ac0cc9d080838d4602
3
+ size 6991
modules.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ {
15
+ "idx": 2,
16
+ "name": "2",
17
+ "path": "2_Normalize",
18
+ "type": "sentence_transformers.models.Normalize"
19
+ }
20
+ ]
sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 384,
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 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "3": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "104": {
36
+ "content": "[UNK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "30526": {
44
+ "content": "<mask>",
45
+ "lstrip": true,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ }
51
+ },
52
+ "bos_token": "<s>",
53
+ "clean_up_tokenization_spaces": true,
54
+ "cls_token": "<s>",
55
+ "do_lower_case": true,
56
+ "eos_token": "</s>",
57
+ "mask_token": "<mask>",
58
+ "max_length": 128,
59
+ "model_max_length": 512,
60
+ "pad_to_multiple_of": null,
61
+ "pad_token": "<pad>",
62
+ "pad_token_type_id": 0,
63
+ "padding_side": "right",
64
+ "sep_token": "</s>",
65
+ "stride": 0,
66
+ "strip_accents": null,
67
+ "tokenize_chinese_chars": true,
68
+ "tokenizer_class": "MPNetTokenizer",
69
+ "truncation_side": "right",
70
+ "truncation_strategy": "longest_first",
71
+ "unk_token": "[UNK]"
72
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff