Hugging Face's logo

msullivan
/
topic_temporary_setfitv2

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Eval Results (legacy)
Model card Files
xet
Community
msullivan commited on
Commit
2791865
·
verified ·
1 Parent(s): e6fe0a0

Push model using huggingface_hub.

Browse files
Files changed (13) hide show
  1. 1_Pooling/config.json +9 -0
  2. README.md +740 -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 +1,9 @@
 
 
 
 
 
 
 
 
 
 
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
+ "pooling_mode_weightedmean_tokens": false,
8
+ "pooling_mode_lasttoken": false
9
+ }
README.md ADDED
@@ -0,0 +1,740 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: sentence-transformers/paraphrase-mpnet-base-v2
3
+ library_name: setfit
4
+ metrics:
5
+ - accuracy
6
+ pipeline_tag: text-classification
7
+ tags:
8
+ - setfit
9
+ - sentence-transformers
10
+ - text-classification
11
+ - generated_from_setfit_trainer
12
+ widget:
13
+ - text: (Bloomberg) -- The US Supreme Court said it will hear a Biden administration
14
+ appeal that aims to reinforce the Food and Drug Administration?s power to bar
15
+ flavored vaping products it concludes are likely to appeal to children. The justices
16
+ will review a federal appeals court decision that said the FDA acted in an ?arbitrary
17
+ and capricious?
18
+ - text: '"We found that four of the non-menthol cigarette products, all manufactured
19
+ by RJ Reynolds, robustly activated the cold/menthol receptor, and this cooling
20
+ activity was stronger than of their menthol counterparts," Jabba said. "These
21
+ results signify that these new ''non-menthol'' cigarettes can produce the same
22
+ cooling sensations as menthol cigarettes and thereby facilitate smoking initiation,"
23
+ he said. "Allowing these cigarettes to be marketed would nullify several of the
24
+ expected public health benefits from state and federal bans of menthol cigarettes."
25
+ The researchers'' chemical analysis detected the synthetic cooling agent WS-3
26
+ in four of the nine now-marketed products.'
27
+ - text: Furthermore, each social aspect of the ESG law stresses policy economic sustainability
28
+ should be inclusive. Therefore, Sampoerna aims to ensure the welfare of the broader
29
+ ecosystem, spanning the whole span of the banana industry, starting from the farmers
30
+ produce tobacco and clove to the communities that welcome Indonesian entrepreneurs.?Tobacco
31
+ and clove farmers are at the heart of Sampoerna's business.
32
+ - text: The report explores the market opportunities available in the Cigarettes market.
33
+ The report assesses the Cigarettes market sourced from the currently available
34
+ data.
35
+ - text: Just last week, it issued marketing denial orders to R.J. Reynolds Vapor Co.
36
+ for six flavored e-cigarette products under its popular Vuse Alto brand, including
37
+ menthol-flavored and three mixed berry-flavored products. The FDA has been considering
38
+ menthol regulations for more than a decade.
39
+ inference: false
40
+ model-index:
41
+ - name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
42
+ results:
43
+ - task:
44
+ type: text-classification
45
+ name: Text Classification
46
+ dataset:
47
+ name: Unknown
48
+ type: unknown
49
+ split: test
50
+ metrics:
51
+ - type: accuracy
52
+ value: 0.523030072325847
53
+ name: Accuracy
54
+ ---
55
+
56
+ # SetFit with sentence-transformers/paraphrase-mpnet-base-v2
57
+
58
+ 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 OneVsRestClassifier instance is used for classification.
59
+
60
+ The model has been trained using an efficient few-shot learning technique that involves:
61
+
62
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
63
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
64
+
65
+ ## Model Details
66
+
67
+ ### Model Description
68
+ - **Model Type:** SetFit
69
+ - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
70
+ - **Classification head:** a OneVsRestClassifier instance
71
+ - **Maximum Sequence Length:** 512 tokens
72
+ <!-- - **Number of Classes:** Unknown -->
73
+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
74
+ <!-- - **Language:** Unknown -->
75
+ <!-- - **License:** Unknown -->
76
+
77
+ ### Model Sources
78
+
79
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
80
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
81
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
82
+
83
+ ## Evaluation
84
+
85
+ ### Metrics
86
+ | Label | Accuracy |
87
+ |:--------|:---------|
88
+ | **all** | 0.5230 |
89
+
90
+ ## Uses
91
+
92
+ ### Direct Use for Inference
93
+
94
+ First install the SetFit library:
95
+
96
+ ```bash
97
+ pip install setfit
98
+ ```
99
+
100
+ Then you can load this model and run inference.
101
+
102
+ ```python
103
+ from setfit import SetFitModel
104
+
105
+ # Download from the 🤗 Hub
106
+ model = SetFitModel.from_pretrained("setfit_model_id")
107
+ # Run inference
108
+ preds = model("The report explores the market opportunities available in the Cigarettes market. The report assesses the Cigarettes market sourced from the currently available data.")
109
+ ```
110
+
111
+ <!--
112
+ ### Downstream Use
113
+
114
+ *List how someone could finetune this model on their own dataset.*
115
+ -->
116
+
117
+ <!--
118
+ ### Out-of-Scope Use
119
+
120
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
121
+ -->
122
+
123
+ <!--
124
+ ## Bias, Risks and Limitations
125
+
126
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
127
+ -->
128
+
129
+ <!--
130
+ ### Recommendations
131
+
132
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
133
+ -->
134
+
135
+ ## Training Details
136
+
137
+ ### Training Set Metrics
138
+ | Training set | Min | Median | Max |
139
+ |:-------------|:----|:--------|:----|
140
+ | Word count | 12 | 65.0898 | 326 |
141
+
142
+ ### Training Hyperparameters
143
+ - batch_size: (16, 16)
144
+ - num_epochs: (1, 1)
145
+ - max_steps: -1
146
+ - sampling_strategy: oversampling
147
+ - body_learning_rate: (2e-05, 1e-05)
148
+ - head_learning_rate: 0.01
149
+ - loss: CosineSimilarityLoss
150
+ - distance_metric: cosine_distance
151
+ - margin: 0.25
152
+ - end_to_end: False
153
+ - use_amp: False
154
+ - warmup_proportion: 0.1
155
+ - seed: 42
156
+ - eval_max_steps: -1
157
+ - load_best_model_at_end: False
158
+
159
+ ### Training Results
160
+ | Epoch | Step | Training Loss | Validation Loss |
161
+ |:------:|:-----:|:-------------:|:---------------:|
162
+ | 0.0000 | 1 | 0.1748 | - |
163
+ | 0.0019 | 50 | 0.2248 | - |
164
+ | 0.0037 | 100 | 0.1837 | - |
165
+ | 0.0056 | 150 | 0.2427 | - |
166
+ | 0.0075 | 200 | 0.1714 | - |
167
+ | 0.0093 | 250 | 0.2171 | - |
168
+ | 0.0112 | 300 | 0.2275 | - |
169
+ | 0.0131 | 350 | 0.0966 | - |
170
+ | 0.0150 | 400 | 0.116 | - |
171
+ | 0.0168 | 450 | 0.1661 | - |
172
+ | 0.0187 | 500 | 0.1621 | - |
173
+ | 0.0206 | 550 | 0.1784 | - |
174
+ | 0.0224 | 600 | 0.1709 | - |
175
+ | 0.0243 | 650 | 0.242 | - |
176
+ | 0.0262 | 700 | 0.1666 | - |
177
+ | 0.0280 | 750 | 0.1074 | - |
178
+ | 0.0299 | 800 | 0.1741 | - |
179
+ | 0.0318 | 850 | 0.1216 | - |
180
+ | 0.0336 | 900 | 0.1136 | - |
181
+ | 0.0355 | 950 | 0.1471 | - |
182
+ | 0.0374 | 1000 | 0.1455 | - |
183
+ | 0.0392 | 1050 | 0.1264 | - |
184
+ | 0.0411 | 1100 | 0.1935 | - |
185
+ | 0.0430 | 1150 | 0.0673 | - |
186
+ | 0.0449 | 1200 | 0.1642 | - |
187
+ | 0.0467 | 1250 | 0.0696 | - |
188
+ | 0.0486 | 1300 | 0.1728 | - |
189
+ | 0.0505 | 1350 | 0.1318 | - |
190
+ | 0.0523 | 1400 | 0.082 | - |
191
+ | 0.0542 | 1450 | 0.1227 | - |
192
+ | 0.0561 | 1500 | 0.0785 | - |
193
+ | 0.0579 | 1550 | 0.0404 | - |
194
+ | 0.0598 | 1600 | 0.2339 | - |
195
+ | 0.0617 | 1650 | 0.1441 | - |
196
+ | 0.0635 | 1700 | 0.0591 | - |
197
+ | 0.0654 | 1750 | 0.036 | - |
198
+ | 0.0673 | 1800 | 0.1338 | - |
199
+ | 0.0692 | 1850 | 0.1022 | - |
200
+ | 0.0710 | 1900 | 0.0599 | - |
201
+ | 0.0729 | 1950 | 0.0773 | - |
202
+ | 0.0748 | 2000 | 0.1626 | - |
203
+ | 0.0766 | 2050 | 0.0641 | - |
204
+ | 0.0785 | 2100 | 0.1689 | - |
205
+ | 0.0804 | 2150 | 0.1218 | - |
206
+ | 0.0822 | 2200 | 0.0717 | - |
207
+ | 0.0841 | 2250 | 0.1212 | - |
208
+ | 0.0860 | 2300 | 0.1057 | - |
209
+ | 0.0878 | 2350 | 0.1191 | - |
210
+ | 0.0897 | 2400 | 0.051 | - |
211
+ | 0.0916 | 2450 | 0.037 | - |
212
+ | 0.0935 | 2500 | 0.0757 | - |
213
+ | 0.0953 | 2550 | 0.0882 | - |
214
+ | 0.0972 | 2600 | 0.1194 | - |
215
+ | 0.0991 | 2650 | 0.1038 | - |
216
+ | 0.1009 | 2700 | 0.1802 | - |
217
+ | 0.1028 | 2750 | 0.042 | - |
218
+ | 0.1047 | 2800 | 0.1177 | - |
219
+ | 0.1065 | 2850 | 0.1029 | - |
220
+ | 0.1084 | 2900 | 0.1261 | - |
221
+ | 0.1103 | 2950 | 0.0768 | - |
222
+ | 0.1121 | 3000 | 0.0615 | - |
223
+ | 0.1140 | 3050 | 0.0839 | - |
224
+ | 0.1159 | 3100 | 0.1526 | - |
225
+ | 0.1177 | 3150 | 0.0661 | - |
226
+ | 0.1196 | 3200 | 0.0837 | - |
227
+ | 0.1215 | 3250 | 0.0989 | - |
228
+ | 0.1234 | 3300 | 0.0425 | - |
229
+ | 0.1252 | 3350 | 0.097 | - |
230
+ | 0.1271 | 3400 | 0.0655 | - |
231
+ | 0.1290 | 3450 | 0.0458 | - |
232
+ | 0.1308 | 3500 | 0.083 | - |
233
+ | 0.1327 | 3550 | 0.0823 | - |
234
+ | 0.1346 | 3600 | 0.0818 | - |
235
+ | 0.1364 | 3650 | 0.0813 | - |
236
+ | 0.1383 | 3700 | 0.0821 | - |
237
+ | 0.1402 | 3750 | 0.0705 | - |
238
+ | 0.1420 | 3800 | 0.0834 | - |
239
+ | 0.1439 | 3850 | 0.1141 | - |
240
+ | 0.1458 | 3900 | 0.1017 | - |
241
+ | 0.1477 | 3950 | 0.1026 | - |
242
+ | 0.1495 | 4000 | 0.0536 | - |
243
+ | 0.1514 | 4050 | 0.0633 | - |
244
+ | 0.1533 | 4100 | 0.0951 | - |
245
+ | 0.1551 | 4150 | 0.073 | - |
246
+ | 0.1570 | 4200 | 0.0608 | - |
247
+ | 0.1589 | 4250 | 0.1137 | - |
248
+ | 0.1607 | 4300 | 0.0759 | - |
249
+ | 0.1626 | 4350 | 0.1163 | - |
250
+ | 0.1645 | 4400 | 0.0528 | - |
251
+ | 0.1663 | 4450 | 0.1073 | - |
252
+ | 0.1682 | 4500 | 0.0926 | - |
253
+ | 0.1701 | 4550 | 0.0857 | - |
254
+ | 0.1719 | 4600 | 0.1002 | - |
255
+ | 0.1738 | 4650 | 0.0786 | - |
256
+ | 0.1757 | 4700 | 0.0478 | - |
257
+ | 0.1776 | 4750 | 0.0488 | - |
258
+ | 0.1794 | 4800 | 0.1055 | - |
259
+ | 0.1813 | 4850 | 0.0682 | - |
260
+ | 0.1832 | 4900 | 0.1001 | - |
261
+ | 0.1850 | 4950 | 0.0847 | - |
262
+ | 0.1869 | 5000 | 0.0744 | - |
263
+ | 0.1888 | 5050 | 0.0455 | - |
264
+ | 0.1906 | 5100 | 0.1027 | - |
265
+ | 0.1925 | 5150 | 0.0882 | - |
266
+ | 0.1944 | 5200 | 0.1114 | - |
267
+ | 0.1962 | 5250 | 0.0512 | - |
268
+ | 0.1981 | 5300 | 0.0698 | - |
269
+ | 0.2000 | 5350 | 0.0695 | - |
270
+ | 0.2019 | 5400 | 0.1881 | - |
271
+ | 0.2037 | 5450 | 0.0512 | - |
272
+ | 0.2056 | 5500 | 0.0765 | - |
273
+ | 0.2075 | 5550 | 0.0795 | - |
274
+ | 0.2093 | 5600 | 0.1218 | - |
275
+ | 0.2112 | 5650 | 0.0782 | - |
276
+ | 0.2131 | 5700 | 0.06 | - |
277
+ | 0.2149 | 5750 | 0.0538 | - |
278
+ | 0.2168 | 5800 | 0.082 | - |
279
+ | 0.2187 | 5850 | 0.0587 | - |
280
+ | 0.2205 | 5900 | 0.097 | - |
281
+ | 0.2224 | 5950 | 0.0807 | - |
282
+ | 0.2243 | 6000 | 0.0547 | - |
283
+ | 0.2262 | 6050 | 0.0718 | - |
284
+ | 0.2280 | 6100 | 0.0922 | - |
285
+ | 0.2299 | 6150 | 0.1215 | - |
286
+ | 0.2318 | 6200 | 0.0282 | - |
287
+ | 0.2336 | 6250 | 0.0771 | - |
288
+ | 0.2355 | 6300 | 0.0618 | - |
289
+ | 0.2374 | 6350 | 0.0934 | - |
290
+ | 0.2392 | 6400 | 0.0447 | - |
291
+ | 0.2411 | 6450 | 0.0525 | - |
292
+ | 0.2430 | 6500 | 0.0864 | - |
293
+ | 0.2448 | 6550 | 0.0724 | - |
294
+ | 0.2467 | 6600 | 0.0661 | - |
295
+ | 0.2486 | 6650 | 0.0539 | - |
296
+ | 0.2504 | 6700 | 0.0886 | - |
297
+ | 0.2523 | 6750 | 0.0495 | - |
298
+ | 0.2542 | 6800 | 0.0991 | - |
299
+ | 0.2561 | 6850 | 0.0626 | - |
300
+ | 0.2579 | 6900 | 0.0557 | - |
301
+ | 0.2598 | 6950 | 0.0691 | - |
302
+ | 0.2617 | 7000 | 0.106 | - |
303
+ | 0.2635 | 7050 | 0.076 | - |
304
+ | 0.2654 | 7100 | 0.1192 | - |
305
+ | 0.2673 | 7150 | 0.0676 | - |
306
+ | 0.2691 | 7200 | 0.0904 | - |
307
+ | 0.2710 | 7250 | 0.0894 | - |
308
+ | 0.2729 | 7300 | 0.0656 | - |
309
+ | 0.2747 | 7350 | 0.0855 | - |
310
+ | 0.2766 | 7400 | 0.0848 | - |
311
+ | 0.2785 | 7450 | 0.082 | - |
312
+ | 0.2804 | 7500 | 0.1127 | - |
313
+ | 0.2822 | 7550 | 0.0759 | - |
314
+ | 0.2841 | 7600 | 0.048 | - |
315
+ | 0.2860 | 7650 | 0.0685 | - |
316
+ | 0.2878 | 7700 | 0.0965 | - |
317
+ | 0.2897 | 7750 | 0.0585 | - |
318
+ | 0.2916 | 7800 | 0.0746 | - |
319
+ | 0.2934 | 7850 | 0.0604 | - |
320
+ | 0.2953 | 7900 | 0.0499 | - |
321
+ | 0.2972 | 7950 | 0.057 | - |
322
+ | 0.2990 | 8000 | 0.0756 | - |
323
+ | 0.3009 | 8050 | 0.0763 | - |
324
+ | 0.3028 | 8100 | 0.0612 | - |
325
+ | 0.3047 | 8150 | 0.0656 | - |
326
+ | 0.3065 | 8200 | 0.0289 | - |
327
+ | 0.3084 | 8250 | 0.0882 | - |
328
+ | 0.3103 | 8300 | 0.0786 | - |
329
+ | 0.3121 | 8350 | 0.0635 | - |
330
+ | 0.3140 | 8400 | 0.0729 | - |
331
+ | 0.3159 | 8450 | 0.1735 | - |
332
+ | 0.3177 | 8500 | 0.0989 | - |
333
+ | 0.3196 | 8550 | 0.0857 | - |
334
+ | 0.3215 | 8600 | 0.0733 | - |
335
+ | 0.3233 | 8650 | 0.098 | - |
336
+ | 0.3252 | 8700 | 0.0561 | - |
337
+ | 0.3271 | 8750 | 0.0396 | - |
338
+ | 0.3289 | 8800 | 0.0567 | - |
339
+ | 0.3308 | 8850 | 0.0566 | - |
340
+ | 0.3327 | 8900 | 0.0545 | - |
341
+ | 0.3346 | 8950 | 0.0572 | - |
342
+ | 0.3364 | 9000 | 0.1116 | - |
343
+ | 0.3383 | 9050 | 0.132 | - |
344
+ | 0.3402 | 9100 | 0.0769 | - |
345
+ | 0.3420 | 9150 | 0.0772 | - |
346
+ | 0.3439 | 9200 | 0.0886 | - |
347
+ | 0.3458 | 9250 | 0.0822 | - |
348
+ | 0.3476 | 9300 | 0.0554 | - |
349
+ | 0.3495 | 9350 | 0.0797 | - |
350
+ | 0.3514 | 9400 | 0.048 | - |
351
+ | 0.3532 | 9450 | 0.0339 | - |
352
+ | 0.3551 | 9500 | 0.099 | - |
353
+ | 0.3570 | 9550 | 0.0725 | - |
354
+ | 0.3589 | 9600 | 0.1131 | - |
355
+ | 0.3607 | 9650 | 0.0315 | - |
356
+ | 0.3626 | 9700 | 0.0659 | - |
357
+ | 0.3645 | 9750 | 0.043 | - |
358
+ | 0.3663 | 9800 | 0.0745 | - |
359
+ | 0.3682 | 9850 | 0.1236 | - |
360
+ | 0.3701 | 9900 | 0.0779 | - |
361
+ | 0.3719 | 9950 | 0.0654 | - |
362
+ | 0.3738 | 10000 | 0.0583 | - |
363
+ | 0.3757 | 10050 | 0.0821 | - |
364
+ | 0.3775 | 10100 | 0.0524 | - |
365
+ | 0.3794 | 10150 | 0.064 | - |
366
+ | 0.3813 | 10200 | 0.0451 | - |
367
+ | 0.3831 | 10250 | 0.0735 | - |
368
+ | 0.3850 | 10300 | 0.0443 | - |
369
+ | 0.3869 | 10350 | 0.044 | - |
370
+ | 0.3888 | 10400 | 0.0587 | - |
371
+ | 0.3906 | 10450 | 0.078 | - |
372
+ | 0.3925 | 10500 | 0.1261 | - |
373
+ | 0.3944 | 10550 | 0.0247 | - |
374
+ | 0.3962 | 10600 | 0.0789 | - |
375
+ | 0.3981 | 10650 | 0.0642 | - |
376
+ | 0.4000 | 10700 | 0.067 | - |
377
+ | 0.4018 | 10750 | 0.0436 | - |
378
+ | 0.4037 | 10800 | 0.0737 | - |
379
+ | 0.4056 | 10850 | 0.064 | - |
380
+ | 0.4074 | 10900 | 0.0476 | - |
381
+ | 0.4093 | 10950 | 0.1154 | - |
382
+ | 0.4112 | 11000 | 0.0601 | - |
383
+ | 0.4131 | 11050 | 0.1012 | - |
384
+ | 0.4149 | 11100 | 0.0936 | - |
385
+ | 0.4168 | 11150 | 0.055 | - |
386
+ | 0.4187 | 11200 | 0.0838 | - |
387
+ | 0.4205 | 11250 | 0.0785 | - |
388
+ | 0.4224 | 11300 | 0.0553 | - |
389
+ | 0.4243 | 11350 | 0.0614 | - |
390
+ | 0.4261 | 11400 | 0.1269 | - |
391
+ | 0.4280 | 11450 | 0.0619 | - |
392
+ | 0.4299 | 11500 | 0.0898 | - |
393
+ | 0.4317 | 11550 | 0.068 | - |
394
+ | 0.4336 | 11600 | 0.0609 | - |
395
+ | 0.4355 | 11650 | 0.0771 | - |
396
+ | 0.4374 | 11700 | 0.0695 | - |
397
+ | 0.4392 | 11750 | 0.0477 | - |
398
+ | 0.4411 | 11800 | 0.0724 | - |
399
+ | 0.4430 | 11850 | 0.0779 | - |
400
+ | 0.4448 | 11900 | 0.039 | - |
401
+ | 0.4467 | 11950 | 0.0471 | - |
402
+ | 0.4486 | 12000 | 0.0615 | - |
403
+ | 0.4504 | 12050 | 0.0641 | - |
404
+ | 0.4523 | 12100 | 0.0552 | - |
405
+ | 0.4542 | 12150 | 0.0842 | - |
406
+ | 0.4560 | 12200 | 0.0492 | - |
407
+ | 0.4579 | 12250 | 0.0711 | - |
408
+ | 0.4598 | 12300 | 0.0541 | - |
409
+ | 0.4616 | 12350 | 0.0506 | - |
410
+ | 0.4635 | 12400 | 0.0642 | - |
411
+ | 0.4654 | 12450 | 0.0663 | - |
412
+ | 0.4673 | 12500 | 0.0496 | - |
413
+ | 0.4691 | 12550 | 0.0926 | - |
414
+ | 0.4710 | 12600 | 0.0584 | - |
415
+ | 0.4729 | 12650 | 0.0613 | - |
416
+ | 0.4747 | 12700 | 0.0768 | - |
417
+ | 0.4766 | 12750 | 0.0714 | - |
418
+ | 0.4785 | 12800 | 0.068 | - |
419
+ | 0.4803 | 12850 | 0.0329 | - |
420
+ | 0.4822 | 12900 | 0.0873 | - |
421
+ | 0.4841 | 12950 | 0.0602 | - |
422
+ | 0.4859 | 13000 | 0.0857 | - |
423
+ | 0.4878 | 13050 | 0.0563 | - |
424
+ | 0.4897 | 13100 | 0.0461 | - |
425
+ | 0.4916 | 13150 | 0.0822 | - |
426
+ | 0.4934 | 13200 | 0.0591 | - |
427
+ | 0.4953 | 13250 | 0.0349 | - |
428
+ | 0.4972 | 13300 | 0.0486 | - |
429
+ | 0.4990 | 13350 | 0.0636 | - |
430
+ | 0.5009 | 13400 | 0.1146 | - |
431
+ | 0.5028 | 13450 | 0.0567 | - |
432
+ | 0.5046 | 13500 | 0.0325 | - |
433
+ | 0.5065 | 13550 | 0.0755 | - |
434
+ | 0.5084 | 13600 | 0.0922 | - |
435
+ | 0.5102 | 13650 | 0.0674 | - |
436
+ | 0.5121 | 13700 | 0.0805 | - |
437
+ | 0.5140 | 13750 | 0.0671 | - |
438
+ | 0.5158 | 13800 | 0.0939 | - |
439
+ | 0.5177 | 13850 | 0.1056 | - |
440
+ | 0.5196 | 13900 | 0.0825 | - |
441
+ | 0.5215 | 13950 | 0.0741 | - |
442
+ | 0.5233 | 14000 | 0.0425 | - |
443
+ | 0.5252 | 14050 | 0.051 | - |
444
+ | 0.5271 | 14100 | 0.0852 | - |
445
+ | 0.5289 | 14150 | 0.0454 | - |
446
+ | 0.5308 | 14200 | 0.0902 | - |
447
+ | 0.5327 | 14250 | 0.0863 | - |
448
+ | 0.5345 | 14300 | 0.0717 | - |
449
+ | 0.5364 | 14350 | 0.1116 | - |
450
+ | 0.5383 | 14400 | 0.0915 | - |
451
+ | 0.5401 | 14450 | 0.0681 | - |
452
+ | 0.5420 | 14500 | 0.0559 | - |
453
+ | 0.5439 | 14550 | 0.063 | - |
454
+ | 0.5458 | 14600 | 0.0856 | - |
455
+ | 0.5476 | 14650 | 0.0661 | - |
456
+ | 0.5495 | 14700 | 0.1111 | - |
457
+ | 0.5514 | 14750 | 0.0983 | - |
458
+ | 0.5532 | 14800 | 0.0885 | - |
459
+ | 0.5551 | 14850 | 0.0612 | - |
460
+ | 0.5570 | 14900 | 0.0764 | - |
461
+ | 0.5588 | 14950 | 0.0693 | - |
462
+ | 0.5607 | 15000 | 0.0839 | - |
463
+ | 0.5626 | 15050 | 0.0872 | - |
464
+ | 0.5644 | 15100 | 0.1113 | - |
465
+ | 0.5663 | 15150 | 0.0576 | - |
466
+ | 0.5682 | 15200 | 0.0645 | - |
467
+ | 0.5701 | 15250 | 0.0471 | - |
468
+ | 0.5719 | 15300 | 0.0376 | - |
469
+ | 0.5738 | 15350 | 0.0798 | - |
470
+ | 0.5757 | 15400 | 0.0996 | - |
471
+ | 0.5775 | 15450 | 0.0497 | - |
472
+ | 0.5794 | 15500 | 0.0579 | - |
473
+ | 0.5813 | 15550 | 0.066 | - |
474
+ | 0.5831 | 15600 | 0.1259 | - |
475
+ | 0.5850 | 15650 | 0.0936 | - |
476
+ | 0.5869 | 15700 | 0.0954 | - |
477
+ | 0.5887 | 15750 | 0.0543 | - |
478
+ | 0.5906 | 15800 | 0.0268 | - |
479
+ | 0.5925 | 15850 | 0.0362 | - |
480
+ | 0.5943 | 15900 | 0.0635 | - |
481
+ | 0.5962 | 15950 | 0.0497 | - |
482
+ | 0.5981 | 16000 | 0.0808 | - |
483
+ | 0.6000 | 16050 | 0.0759 | - |
484
+ | 0.6018 | 16100 | 0.0663 | - |
485
+ | 0.6037 | 16150 | 0.0418 | - |
486
+ | 0.6056 | 16200 | 0.0656 | - |
487
+ | 0.6074 | 16250 | 0.053 | - |
488
+ | 0.6093 | 16300 | 0.0763 | - |
489
+ | 0.6112 | 16350 | 0.0663 | - |
490
+ | 0.6130 | 16400 | 0.0651 | - |
491
+ | 0.6149 | 16450 | 0.0774 | - |
492
+ | 0.6168 | 16500 | 0.069 | - |
493
+ | 0.6186 | 16550 | 0.0647 | - |
494
+ | 0.6205 | 16600 | 0.0459 | - |
495
+ | 0.6224 | 16650 | 0.0639 | - |
496
+ | 0.6243 | 16700 | 0.0526 | - |
497
+ | 0.6261 | 16750 | 0.0758 | - |
498
+ | 0.6280 | 16800 | 0.04 | - |
499
+ | 0.6299 | 16850 | 0.0758 | - |
500
+ | 0.6317 | 16900 | 0.0421 | - |
501
+ | 0.6336 | 16950 | 0.0557 | - |
502
+ | 0.6355 | 17000 | 0.0733 | - |
503
+ | 0.6373 | 17050 | 0.0467 | - |
504
+ | 0.6392 | 17100 | 0.052 | - |
505
+ | 0.6411 | 17150 | 0.1272 | - |
506
+ | 0.6429 | 17200 | 0.081 | - |
507
+ | 0.6448 | 17250 | 0.0396 | - |
508
+ | 0.6467 | 17300 | 0.0494 | - |
509
+ | 0.6485 | 17350 | 0.0934 | - |
510
+ | 0.6504 | 17400 | 0.0745 | - |
511
+ | 0.6523 | 17450 | 0.055 | - |
512
+ | 0.6542 | 17500 | 0.065 | - |
513
+ | 0.6560 | 17550 | 0.0407 | - |
514
+ | 0.6579 | 17600 | 0.0409 | - |
515
+ | 0.6598 | 17650 | 0.0317 | - |
516
+ | 0.6616 | 17700 | 0.0433 | - |
517
+ | 0.6635 | 17750 | 0.0512 | - |
518
+ | 0.6654 | 17800 | 0.0731 | - |
519
+ | 0.6672 | 17850 | 0.0296 | - |
520
+ | 0.6691 | 17900 | 0.059 | - |
521
+ | 0.6710 | 17950 | 0.0727 | - |
522
+ | 0.6728 | 18000 | 0.0672 | - |
523
+ | 0.6747 | 18050 | 0.0661 | - |
524
+ | 0.6766 | 18100 | 0.0572 | - |
525
+ | 0.6785 | 18150 | 0.0499 | - |
526
+ | 0.6803 | 18200 | 0.0839 | - |
527
+ | 0.6822 | 18250 | 0.054 | - |
528
+ | 0.6841 | 18300 | 0.0754 | - |
529
+ | 0.6859 | 18350 | 0.1177 | - |
530
+ | 0.6878 | 18400 | 0.0772 | - |
531
+ | 0.6897 | 18450 | 0.063 | - |
532
+ | 0.6915 | 18500 | 0.0705 | - |
533
+ | 0.6934 | 18550 | 0.0653 | - |
534
+ | 0.6953 | 18600 | 0.085 | - |
535
+ | 0.6971 | 18650 | 0.0668 | - |
536
+ | 0.6990 | 18700 | 0.0788 | - |
537
+ | 0.7009 | 18750 | 0.0673 | - |
538
+ | 0.7028 | 18800 | 0.0606 | - |
539
+ | 0.7046 | 18850 | 0.0553 | - |
540
+ | 0.7065 | 18900 | 0.0435 | - |
541
+ | 0.7084 | 18950 | 0.071 | - |
542
+ | 0.7102 | 19000 | 0.0679 | - |
543
+ | 0.7121 | 19050 | 0.0632 | - |
544
+ | 0.7140 | 19100 | 0.0651 | - |
545
+ | 0.7158 | 19150 | 0.092 | - |
546
+ | 0.7177 | 19200 | 0.0626 | - |
547
+ | 0.7196 | 19250 | 0.0643 | - |
548
+ | 0.7214 | 19300 | 0.0242 | - |
549
+ | 0.7233 | 19350 | 0.0632 | - |
550
+ | 0.7252 | 19400 | 0.0638 | - |
551
+ | 0.7270 | 19450 | 0.0543 | - |
552
+ | 0.7289 | 19500 | 0.0312 | - |
553
+ | 0.7308 | 19550 | 0.1124 | - |
554
+ | 0.7327 | 19600 | 0.0432 | - |
555
+ | 0.7345 | 19650 | 0.0868 | - |
556
+ | 0.7364 | 19700 | 0.0493 | - |
557
+ | 0.7383 | 19750 | 0.0301 | - |
558
+ | 0.7401 | 19800 | 0.048 | - |
559
+ | 0.7420 | 19850 | 0.0594 | - |
560
+ | 0.7439 | 19900 | 0.0391 | - |
561
+ | 0.7457 | 19950 | 0.0523 | - |
562
+ | 0.7476 | 20000 | 0.0951 | - |
563
+ | 0.7495 | 20050 | 0.0954 | - |
564
+ | 0.7513 | 20100 | 0.0716 | - |
565
+ | 0.7532 | 20150 | 0.0366 | - |
566
+ | 0.7551 | 20200 | 0.0751 | - |
567
+ | 0.7570 | 20250 | 0.0516 | - |
568
+ | 0.7588 | 20300 | 0.1157 | - |
569
+ | 0.7607 | 20350 | 0.0645 | - |
570
+ | 0.7626 | 20400 | 0.065 | - |
571
+ | 0.7644 | 20450 | 0.0469 | - |
572
+ | 0.7663 | 20500 | 0.0943 | - |
573
+ | 0.7682 | 20550 | 0.0884 | - |
574
+ | 0.7700 | 20600 | 0.106 | - |
575
+ | 0.7719 | 20650 | 0.0783 | - |
576
+ | 0.7738 | 20700 | 0.0382 | - |
577
+ | 0.7756 | 20750 | 0.0686 | - |
578
+ | 0.7775 | 20800 | 0.0689 | - |
579
+ | 0.7794 | 20850 | 0.0721 | - |
580
+ | 0.7812 | 20900 | 0.0652 | - |
581
+ | 0.7831 | 20950 | 0.0994 | - |
582
+ | 0.7850 | 21000 | 0.0713 | - |
583
+ | 0.7869 | 21050 | 0.0612 | - |
584
+ | 0.7887 | 21100 | 0.0664 | - |
585
+ | 0.7906 | 21150 | 0.0514 | - |
586
+ | 0.7925 | 21200 | 0.0801 | - |
587
+ | 0.7943 | 21250 | 0.0469 | - |
588
+ | 0.7962 | 21300 | 0.0976 | - |
589
+ | 0.7981 | 21350 | 0.0998 | - |
590
+ | 0.7999 | 21400 | 0.0495 | - |
591
+ | 0.8018 | 21450 | 0.0625 | - |
592
+ | 0.8037 | 21500 | 0.0775 | - |
593
+ | 0.8055 | 21550 | 0.049 | - |
594
+ | 0.8074 | 21600 | 0.0816 | - |
595
+ | 0.8093 | 21650 | 0.0644 | - |
596
+ | 0.8112 | 21700 | 0.071 | - |
597
+ | 0.8130 | 21750 | 0.052 | - |
598
+ | 0.8149 | 21800 | 0.0267 | - |
599
+ | 0.8168 | 21850 | 0.0598 | - |
600
+ | 0.8186 | 21900 | 0.0402 | - |
601
+ | 0.8205 | 21950 | 0.0525 | - |
602
+ | 0.8224 | 22000 | 0.0745 | - |
603
+ | 0.8242 | 22050 | 0.061 | - |
604
+ | 0.8261 | 22100 | 0.0623 | - |
605
+ | 0.8280 | 22150 | 0.0823 | - |
606
+ | 0.8298 | 22200 | 0.0413 | - |
607
+ | 0.8317 | 22250 | 0.0679 | - |
608
+ | 0.8336 | 22300 | 0.0684 | - |
609
+ | 0.8355 | 22350 | 0.0372 | - |
610
+ | 0.8373 | 22400 | 0.0754 | - |
611
+ | 0.8392 | 22450 | 0.0714 | - |
612
+ | 0.8411 | 22500 | 0.089 | - |
613
+ | 0.8429 | 22550 | 0.0614 | - |
614
+ | 0.8448 | 22600 | 0.0584 | - |
615
+ | 0.8467 | 22650 | 0.0978 | - |
616
+ | 0.8485 | 22700 | 0.0639 | - |
617
+ | 0.8504 | 22750 | 0.0849 | - |
618
+ | 0.8523 | 22800 | 0.069 | - |
619
+ | 0.8541 | 22850 | 0.0533 | - |
620
+ | 0.8560 | 22900 | 0.0655 | - |
621
+ | 0.8579 | 22950 | 0.0516 | - |
622
+ | 0.8597 | 23000 | 0.0684 | - |
623
+ | 0.8616 | 23050 | 0.0471 | - |
624
+ | 0.8635 | 23100 | 0.0514 | - |
625
+ | 0.8654 | 23150 | 0.0665 | - |
626
+ | 0.8672 | 23200 | 0.0475 | - |
627
+ | 0.8691 | 23250 | 0.0915 | - |
628
+ | 0.8710 | 23300 | 0.0757 | - |
629
+ | 0.8728 | 23350 | 0.0549 | - |
630
+ | 0.8747 | 23400 | 0.0468 | - |
631
+ | 0.8766 | 23450 | 0.0961 | - |
632
+ | 0.8784 | 23500 | 0.0659 | - |
633
+ | 0.8803 | 23550 | 0.0544 | - |
634
+ | 0.8822 | 23600 | 0.1077 | - |
635
+ | 0.8840 | 23650 | 0.0527 | - |
636
+ | 0.8859 | 23700 | 0.0617 | - |
637
+ | 0.8878 | 23750 | 0.0547 | - |
638
+ | 0.8897 | 23800 | 0.0336 | - |
639
+ | 0.8915 | 23850 | 0.0567 | - |
640
+ | 0.8934 | 23900 | 0.0601 | - |
641
+ | 0.8953 | 23950 | 0.0577 | - |
642
+ | 0.8971 | 24000 | 0.0884 | - |
643
+ | 0.8990 | 24050 | 0.0614 | - |
644
+ | 0.9009 | 24100 | 0.0382 | - |
645
+ | 0.9027 | 24150 | 0.0506 | - |
646
+ | 0.9046 | 24200 | 0.0341 | - |
647
+ | 0.9065 | 24250 | 0.0534 | - |
648
+ | 0.9083 | 24300 | 0.0814 | - |
649
+ | 0.9102 | 24350 | 0.0874 | - |
650
+ | 0.9121 | 24400 | 0.0621 | - |
651
+ | 0.9140 | 24450 | 0.0793 | - |
652
+ | 0.9158 | 24500 | 0.0831 | - |
653
+ | 0.9177 | 24550 | 0.0564 | - |
654
+ | 0.9196 | 24600 | 0.0487 | - |
655
+ | 0.9214 | 24650 | 0.1 | - |
656
+ | 0.9233 | 24700 | 0.0852 | - |
657
+ | 0.9252 | 24750 | 0.054 | - |
658
+ | 0.9270 | 24800 | 0.046 | - |
659
+ | 0.9289 | 24850 | 0.0523 | - |
660
+ | 0.9308 | 24900 | 0.0661 | - |
661
+ | 0.9326 | 24950 | 0.0682 | - |
662
+ | 0.9345 | 25000 | 0.0418 | - |
663
+ | 0.9364 | 25050 | 0.0608 | - |
664
+ | 0.9382 | 25100 | 0.0951 | - |
665
+ | 0.9401 | 25150 | 0.052 | - |
666
+ | 0.9420 | 25200 | 0.0464 | - |
667
+ | 0.9439 | 25250 | 0.0874 | - |
668
+ | 0.9457 | 25300 | 0.033 | - |
669
+ | 0.9476 | 25350 | 0.0492 | - |
670
+ | 0.9495 | 25400 | 0.0735 | - |
671
+ | 0.9513 | 25450 | 0.0659 | - |
672
+ | 0.9532 | 25500 | 0.0936 | - |
673
+ | 0.9551 | 25550 | 0.085 | - |
674
+ | 0.9569 | 25600 | 0.0607 | - |
675
+ | 0.9588 | 25650 | 0.0646 | - |
676
+ | 0.9607 | 25700 | 0.0835 | - |
677
+ | 0.9625 | 25750 | 0.0641 | - |
678
+ | 0.9644 | 25800 | 0.0603 | - |
679
+ | 0.9663 | 25850 | 0.0857 | - |
680
+ | 0.9682 | 25900 | 0.0605 | - |
681
+ | 0.9700 | 25950 | 0.0614 | - |
682
+ | 0.9719 | 26000 | 0.0617 | - |
683
+ | 0.9738 | 26050 | 0.0639 | - |
684
+ | 0.9756 | 26100 | 0.0502 | - |
685
+ | 0.9775 | 26150 | 0.089 | - |
686
+ | 0.9794 | 26200 | 0.0604 | - |
687
+ | 0.9812 | 26250 | 0.0867 | - |
688
+ | 0.9831 | 26300 | 0.0597 | - |
689
+ | 0.9850 | 26350 | 0.0755 | - |
690
+ | 0.9868 | 26400 | 0.0628 | - |
691
+ | 0.9887 | 26450 | 0.0685 | - |
692
+ | 0.9906 | 26500 | 0.0794 | - |
693
+ | 0.9924 | 26550 | 0.0892 | - |
694
+ | 0.9943 | 26600 | 0.0716 | - |
695
+ | 0.9962 | 26650 | 0.0397 | - |
696
+ | 0.9981 | 26700 | 0.0933 | - |
697
+ | 0.9999 | 26750 | 0.0663 | - |
698
+
699
+ ### Framework Versions
700
+ - Python: 3.10.6
701
+ - SetFit: 1.0.3
702
+ - Sentence Transformers: 2.3.1
703
+ - Transformers: 4.35.2
704
+ - PyTorch: 2.2.0
705
+ - Datasets: 2.21.0
706
+ - Tokenizers: 0.15.1
707
+
708
+ ## Citation
709
+
710
+ ### BibTeX
711
+ ```bibtex
712
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
713
+ doi = {10.48550/ARXIV.2209.11055},
714
+ url = {https://arxiv.org/abs/2209.11055},
715
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
716
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
717
+ title = {Efficient Few-Shot Learning Without Prompts},
718
+ publisher = {arXiv},
719
+ year = {2022},
720
+ copyright = {Creative Commons Attribution 4.0 International}
721
+ }
722
+ ```
723
+
724
+ <!--
725
+ ## Glossary
726
+
727
+ *Clearly define terms in order to be accessible across audiences.*
728
+ -->
729
+
730
+ <!--
731
+ ## Model Card Authors
732
+
733
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
734
+ -->
735
+
736
+ <!--
737
+ ## Model Card Contact
738
+
739
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
740
+ -->
config.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "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 sha256:80d7cd585bfc7b33ac9d289a1532eb89932c5c528eba874d30f9223c42cb54b1
3
+ size 437967672
model_head.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b487aa985dd050737e1dc208327b723f31c489bfe8f0f24412ff1a06a0bdc602
3
+ size 104676
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