Hugging Face's logo

misterclean
/
setfit-voice-intents

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
text-embeddings-inference
Model card Files
xet
 Community
misterclean commited on
Commit
79ef62f
·
verified ·
1 Parent(s): 09f66c3

Push model using huggingface_hub.

Browse files
Files changed (13) hide show
  1. 1_Pooling/config.json +10 -0
  2. README.md +1179 -0
  3. config.json +23 -0
  4. config_sentence_transformers.json +10 -0
  5. config_setfit.json +9 -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 +60 -0
  13. vocab.txt +0 -0
1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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
+ "include_prompt": true
10
+ }
README.md ADDED
@@ -0,0 +1,1179 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - setfit
4
+ - sentence-transformers
5
+ - text-classification
6
+ - generated_from_setfit_trainer
7
+ widget:
8
+ - text: Ping me the to-dos
9
+ - text: This should be recorded
10
+ - text: I want to record the conversation
11
+ - text: Send me a reminder list
12
+ - text: Cease recording
13
+ metrics:
14
+ - accuracy
15
+ pipeline_tag: text-classification
16
+ library_name: setfit
17
+ inference: true
18
+ base_model: sentence-transformers/paraphrase-mpnet-base-v2
19
+ ---
20
+
21
+ # SetFit with sentence-transformers/paraphrase-mpnet-base-v2
22
+
23
+ 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.
24
+
25
+ The model has been trained using an efficient few-shot learning technique that involves:
26
+
27
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
28
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
29
+
30
+ ## Model Details
31
+
32
+ ### Model Description
33
+ - **Model Type:** SetFit
34
+ - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
35
+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
36
+ - **Maximum Sequence Length:** 512 tokens
37
+ - **Number of Classes:** 4 classes
38
+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
39
+ <!-- - **Language:** Unknown -->
40
+ <!-- - **License:** Unknown -->
41
+
42
+ ### Model Sources
43
+
44
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
45
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
46
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
47
+
48
+ ### Model Labels
49
+ | Label | Examples |
50
+ |:----------------|:-------------------------------------------------------------------------------------------------------------------|
51
+ | start_recording | <ul><li>'Start recording the call now'</li><li>'Can you begin recording?'</li><li>'Record this for me'</li></ul> |
52
+ | stop_recording | <ul><li>'Stop recording now'</li><li>'You can end the recording'</li><li>'Please turn off the recorder'</li></ul> |
53
+ | drop_call | <ul><li>'End this call'</li><li>'Hang up'</li><li>'Can you disconnect me?'</li></ul> |
54
+ | text_todo | <ul><li>'Send me my to-do list'</li><li>'Can you text me my tasks?'</li><li>'Message me the to-do items'</li></ul> |
55
+
56
+ ## Uses
57
+
58
+ ### Direct Use for Inference
59
+
60
+ First install the SetFit library:
61
+
62
+ ```bash
63
+ pip install setfit
64
+ ```
65
+
66
+ Then you can load this model and run inference.
67
+
68
+ ```python
69
+ from setfit import SetFitModel
70
+
71
+ # Download from the 🤗 Hub
72
+ model = SetFitModel.from_pretrained("misterclean/setfit-voice-intents")
73
+ # Run inference
74
+ preds = model("Cease recording")
75
+ ```
76
+
77
+ <!--
78
+ ### Downstream Use
79
+
80
+ *List how someone could finetune this model on their own dataset.*
81
+ -->
82
+
83
+ <!--
84
+ ### Out-of-Scope Use
85
+
86
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
87
+ -->
88
+
89
+ <!--
90
+ ## Bias, Risks and Limitations
91
+
92
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
93
+ -->
94
+
95
+ <!--
96
+ ### Recommendations
97
+
98
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
99
+ -->
100
+
101
+ ## Training Details
102
+
103
+ ### Training Set Metrics
104
+ | Training set | Min | Median | Max |
105
+ |:-------------|:----|:-------|:----|
106
+ | Word count | 2 | 4.24 | 9 |
107
+
108
+ | Label | Training Sample Count |
109
+ |:----------------|:----------------------|
110
+ | drop_call | 25 |
111
+ | start_recording | 25 |
112
+ | stop_recording | 25 |
113
+ | text_todo | 25 |
114
+
115
+ ### Training Hyperparameters
116
+ - batch_size: (8, 8)
117
+ - num_epochs: (2, 2)
118
+ - max_steps: -1
119
+ - sampling_strategy: oversampling
120
+ - num_iterations: 20
121
+ - body_learning_rate: (2e-05, 1e-05)
122
+ - head_learning_rate: 0.01
123
+ - loss: CosineSimilarityLoss
124
+ - distance_metric: cosine_distance
125
+ - margin: 0.25
126
+ - end_to_end: False
127
+ - use_amp: False
128
+ - warmup_proportion: 0.1
129
+ - l2_weight: 0.01
130
+ - seed: 42
131
+ - eval_max_steps: -1
132
+ - load_best_model_at_end: False
133
+
134
+ ### Training Results
135
+ | Epoch | Step | Training Loss | Validation Loss |
136
+ |:------:|:----:|:-------------:|:---------------:|
137
+ | 0.002 | 1 | 0.2672 | - |
138
+ | 0.004 | 2 | 0.2533 | - |
139
+ | 0.006 | 3 | 0.1186 | - |
140
+ | 0.008 | 4 | 0.1028 | - |
141
+ | 0.01 | 5 | 0.1214 | - |
142
+ | 0.012 | 6 | 0.2007 | - |
143
+ | 0.014 | 7 | 0.2245 | - |
144
+ | 0.016 | 8 | 0.1345 | - |
145
+ | 0.018 | 9 | 0.2094 | - |
146
+ | 0.02 | 10 | 0.2212 | - |
147
+ | 0.022 | 11 | 0.1499 | - |
148
+ | 0.024 | 12 | 0.1341 | - |
149
+ | 0.026 | 13 | 0.1616 | - |
150
+ | 0.028 | 14 | 0.1658 | - |
151
+ | 0.03 | 15 | 0.137 | - |
152
+ | 0.032 | 16 | 0.1855 | - |
153
+ | 0.034 | 17 | 0.1227 | - |
154
+ | 0.036 | 18 | 0.1912 | - |
155
+ | 0.038 | 19 | 0.2001 | - |
156
+ | 0.04 | 20 | 0.2149 | - |
157
+ | 0.042 | 21 | 0.197 | - |
158
+ | 0.044 | 22 | 0.2105 | - |
159
+ | 0.046 | 23 | 0.2729 | - |
160
+ | 0.048 | 24 | 0.139 | - |
161
+ | 0.05 | 25 | 0.1532 | - |
162
+ | 0.052 | 26 | 0.1199 | - |
163
+ | 0.054 | 27 | 0.1852 | - |
164
+ | 0.056 | 28 | 0.1755 | - |
165
+ | 0.058 | 29 | 0.1333 | - |
166
+ | 0.06 | 30 | 0.1894 | - |
167
+ | 0.062 | 31 | 0.1704 | - |
168
+ | 0.064 | 32 | 0.1751 | - |
169
+ | 0.066 | 33 | 0.1368 | - |
170
+ | 0.068 | 34 | 0.1591 | - |
171
+ | 0.07 | 35 | 0.1848 | - |
172
+ | 0.072 | 36 | 0.1036 | - |
173
+ | 0.074 | 37 | 0.1271 | - |
174
+ | 0.076 | 38 | 0.137 | - |
175
+ | 0.078 | 39 | 0.1019 | - |
176
+ | 0.08 | 40 | 0.1473 | - |
177
+ | 0.082 | 41 | 0.1043 | - |
178
+ | 0.084 | 42 | 0.0856 | - |
179
+ | 0.086 | 43 | 0.1466 | - |
180
+ | 0.088 | 44 | 0.1049 | - |
181
+ | 0.09 | 45 | 0.1739 | - |
182
+ | 0.092 | 46 | 0.087 | - |
183
+ | 0.094 | 47 | 0.1241 | - |
184
+ | 0.096 | 48 | 0.0857 | - |
185
+ | 0.098 | 49 | 0.1108 | - |
186
+ | 0.1 | 50 | 0.0906 | - |
187
+ | 0.102 | 51 | 0.085 | - |
188
+ | 0.104 | 52 | 0.0843 | - |
189
+ | 0.106 | 53 | 0.1329 | - |
190
+ | 0.108 | 54 | 0.0949 | - |
191
+ | 0.11 | 55 | 0.0911 | - |
192
+ | 0.112 | 56 | 0.0461 | - |
193
+ | 0.114 | 57 | 0.0562 | - |
194
+ | 0.116 | 58 | 0.0769 | - |
195
+ | 0.118 | 59 | 0.0935 | - |
196
+ | 0.12 | 60 | 0.0569 | - |
197
+ | 0.122 | 61 | 0.0663 | - |
198
+ | 0.124 | 62 | 0.0593 | - |
199
+ | 0.126 | 63 | 0.1092 | - |
200
+ | 0.128 | 64 | 0.0814 | - |
201
+ | 0.13 | 65 | 0.0435 | - |
202
+ | 0.132 | 66 | 0.0643 | - |
203
+ | 0.134 | 67 | 0.0398 | - |
204
+ | 0.136 | 68 | 0.0671 | - |
205
+ | 0.138 | 69 | 0.0606 | - |
206
+ | 0.14 | 70 | 0.0716 | - |
207
+ | 0.142 | 71 | 0.0577 | - |
208
+ | 0.144 | 72 | 0.0215 | - |
209
+ | 0.146 | 73 | 0.0439 | - |
210
+ | 0.148 | 74 | 0.0799 | - |
211
+ | 0.15 | 75 | 0.0201 | - |
212
+ | 0.152 | 76 | 0.0418 | - |
213
+ | 0.154 | 77 | 0.0167 | - |
214
+ | 0.156 | 78 | 0.0754 | - |
215
+ | 0.158 | 79 | 0.0247 | - |
216
+ | 0.16 | 80 | 0.0421 | - |
217
+ | 0.162 | 81 | 0.0256 | - |
218
+ | 0.164 | 82 | 0.0331 | - |
219
+ | 0.166 | 83 | 0.0309 | - |
220
+ | 0.168 | 84 | 0.0293 | - |
221
+ | 0.17 | 85 | 0.0186 | - |
222
+ | 0.172 | 86 | 0.0256 | - |
223
+ | 0.174 | 87 | 0.0269 | - |
224
+ | 0.176 | 88 | 0.0226 | - |
225
+ | 0.178 | 89 | 0.025 | - |
226
+ | 0.18 | 90 | 0.0124 | - |
227
+ | 0.182 | 91 | 0.0239 | - |
228
+ | 0.184 | 92 | 0.0076 | - |
229
+ | 0.186 | 93 | 0.0212 | - |
230
+ | 0.188 | 94 | 0.0188 | - |
231
+ | 0.19 | 95 | 0.0154 | - |
232
+ | 0.192 | 96 | 0.0141 | - |
233
+ | 0.194 | 97 | 0.0178 | - |
234
+ | 0.196 | 98 | 0.006 | - |
235
+ | 0.198 | 99 | 0.008 | - |
236
+ | 0.2 | 100 | 0.0119 | - |
237
+ | 0.202 | 101 | 0.0094 | - |
238
+ | 0.204 | 102 | 0.0129 | - |
239
+ | 0.206 | 103 | 0.0073 | - |
240
+ | 0.208 | 104 | 0.007 | - |
241
+ | 0.21 | 105 | 0.0057 | - |
242
+ | 0.212 | 106 | 0.0023 | - |
243
+ | 0.214 | 107 | 0.0038 | - |
244
+ | 0.216 | 108 | 0.0108 | - |
245
+ | 0.218 | 109 | 0.0037 | - |
246
+ | 0.22 | 110 | 0.0045 | - |
247
+ | 0.222 | 111 | 0.007 | - |
248
+ | 0.224 | 112 | 0.003 | - |
249
+ | 0.226 | 113 | 0.0035 | - |
250
+ | 0.228 | 114 | 0.0057 | - |
251
+ | 0.23 | 115 | 0.0065 | - |
252
+ | 0.232 | 116 | 0.0073 | - |
253
+ | 0.234 | 117 | 0.0051 | - |
254
+ | 0.236 | 118 | 0.0023 | - |
255
+ | 0.238 | 119 | 0.0058 | - |
256
+ | 0.24 | 120 | 0.0048 | - |
257
+ | 0.242 | 121 | 0.0035 | - |
258
+ | 0.244 | 122 | 0.0046 | - |
259
+ | 0.246 | 123 | 0.0022 | - |
260
+ | 0.248 | 124 | 0.002 | - |
261
+ | 0.25 | 125 | 0.0026 | - |
262
+ | 0.252 | 126 | 0.0022 | - |
263
+ | 0.254 | 127 | 0.0029 | - |
264
+ | 0.256 | 128 | 0.0019 | - |
265
+ | 0.258 | 129 | 0.0031 | - |
266
+ | 0.26 | 130 | 0.0038 | - |
267
+ | 0.262 | 131 | 0.0029 | - |
268
+ | 0.264 | 132 | 0.0019 | - |
269
+ | 0.266 | 133 | 0.0039 | - |
270
+ | 0.268 | 134 | 0.0018 | - |
271
+ | 0.27 | 135 | 0.0015 | - |
272
+ | 0.272 | 136 | 0.0028 | - |
273
+ | 0.274 | 137 | 0.0021 | - |
274
+ | 0.276 | 138 | 0.0029 | - |
275
+ | 0.278 | 139 | 0.0026 | - |
276
+ | 0.28 | 140 | 0.0022 | - |
277
+ | 0.282 | 141 | 0.0012 | - |
278
+ | 0.284 | 142 | 0.0021 | - |
279
+ | 0.286 | 143 | 0.0015 | - |
280
+ | 0.288 | 144 | 0.0019 | - |
281
+ | 0.29 | 145 | 0.002 | - |
282
+ | 0.292 | 146 | 0.0027 | - |
283
+ | 0.294 | 147 | 0.0016 | - |
284
+ | 0.296 | 148 | 0.0009 | - |
285
+ | 0.298 | 149 | 0.0021 | - |
286
+ | 0.3 | 150 | 0.0018 | - |
287
+ | 0.302 | 151 | 0.0018 | - |
288
+ | 0.304 | 152 | 0.0015 | - |
289
+ | 0.306 | 153 | 0.0037 | - |
290
+ | 0.308 | 154 | 0.0034 | - |
291
+ | 0.31 | 155 | 0.001 | - |
292
+ | 0.312 | 156 | 0.002 | - |
293
+ | 0.314 | 157 | 0.0006 | - |
294
+ | 0.316 | 158 | 0.0013 | - |
295
+ | 0.318 | 159 | 0.002 | - |
296
+ | 0.32 | 160 | 0.0017 | - |
297
+ | 0.322 | 161 | 0.0011 | - |
298
+ | 0.324 | 162 | 0.0023 | - |
299
+ | 0.326 | 163 | 0.0024 | - |
300
+ | 0.328 | 164 | 0.0005 | - |
301
+ | 0.33 | 165 | 0.0014 | - |
302
+ | 0.332 | 166 | 0.0012 | - |
303
+ | 0.334 | 167 | 0.0015 | - |
304
+ | 0.336 | 168 | 0.0014 | - |
305
+ | 0.338 | 169 | 0.0008 | - |
306
+ | 0.34 | 170 | 0.0007 | - |
307
+ | 0.342 | 171 | 0.0018 | - |
308
+ | 0.344 | 172 | 0.0011 | - |
309
+ | 0.346 | 173 | 0.0011 | - |
310
+ | 0.348 | 174 | 0.0012 | - |
311
+ | 0.35 | 175 | 0.0018 | - |
312
+ | 0.352 | 176 | 0.0009 | - |
313
+ | 0.354 | 177 | 0.0004 | - |
314
+ | 0.356 | 178 | 0.0015 | - |
315
+ | 0.358 | 179 | 0.0022 | - |
316
+ | 0.36 | 180 | 0.0012 | - |
317
+ | 0.362 | 181 | 0.0018 | - |
318
+ | 0.364 | 182 | 0.0007 | - |
319
+ | 0.366 | 183 | 0.0011 | - |
320
+ | 0.368 | 184 | 0.0012 | - |
321
+ | 0.37 | 185 | 0.0011 | - |
322
+ | 0.372 | 186 | 0.002 | - |
323
+ | 0.374 | 187 | 0.0019 | - |
324
+ | 0.376 | 188 | 0.0013 | - |
325
+ | 0.378 | 189 | 0.0009 | - |
326
+ | 0.38 | 190 | 0.0013 | - |
327
+ | 0.382 | 191 | 0.001 | - |
328
+ | 0.384 | 192 | 0.0011 | - |
329
+ | 0.386 | 193 | 0.0017 | - |
330
+ | 0.388 | 194 | 0.001 | - |
331
+ | 0.39 | 195 | 0.0019 | - |
332
+ | 0.392 | 196 | 0.0013 | - |
333
+ | 0.394 | 197 | 0.0013 | - |
334
+ | 0.396 | 198 | 0.0016 | - |
335
+ | 0.398 | 199 | 0.0016 | - |
336
+ | 0.4 | 200 | 0.0011 | - |
337
+ | 0.402 | 201 | 0.0014 | - |
338
+ | 0.404 | 202 | 0.0019 | - |
339
+ | 0.406 | 203 | 0.0015 | - |
340
+ | 0.408 | 204 | 0.0007 | - |
341
+ | 0.41 | 205 | 0.0031 | - |
342
+ | 0.412 | 206 | 0.0013 | - |
343
+ | 0.414 | 207 | 0.001 | - |
344
+ | 0.416 | 208 | 0.0026 | - |
345
+ | 0.418 | 209 | 0.0012 | - |
346
+ | 0.42 | 210 | 0.0017 | - |
347
+ | 0.422 | 211 | 0.0021 | - |
348
+ | 0.424 | 212 | 0.0013 | - |
349
+ | 0.426 | 213 | 0.0013 | - |
350
+ | 0.428 | 214 | 0.0014 | - |
351
+ | 0.43 | 215 | 0.0013 | - |
352
+ | 0.432 | 216 | 0.0015 | - |
353
+ | 0.434 | 217 | 0.001 | - |
354
+ | 0.436 | 218 | 0.0027 | - |
355
+ | 0.438 | 219 | 0.0023 | - |
356
+ | 0.44 | 220 | 0.0017 | - |
357
+ | 0.442 | 221 | 0.0031 | - |
358
+ | 0.444 | 222 | 0.0011 | - |
359
+ | 0.446 | 223 | 0.0008 | - |
360
+ | 0.448 | 224 | 0.0012 | - |
361
+ | 0.45 | 225 | 0.0009 | - |
362
+ | 0.452 | 226 | 0.0013 | - |
363
+ | 0.454 | 227 | 0.0026 | - |
364
+ | 0.456 | 228 | 0.0021 | - |
365
+ | 0.458 | 229 | 0.0013 | - |
366
+ | 0.46 | 230 | 0.0013 | - |
367
+ | 0.462 | 231 | 0.0016 | - |
368
+ | 0.464 | 232 | 0.0017 | - |
369
+ | 0.466 | 233 | 0.0006 | - |
370
+ | 0.468 | 234 | 0.0017 | - |
371
+ | 0.47 | 235 | 0.0011 | - |
372
+ | 0.472 | 236 | 0.0014 | - |
373
+ | 0.474 | 237 | 0.0012 | - |
374
+ | 0.476 | 238 | 0.0005 | - |
375
+ | 0.478 | 239 | 0.0007 | - |
376
+ | 0.48 | 240 | 0.0017 | - |
377
+ | 0.482 | 241 | 0.001 | - |
378
+ | 0.484 | 242 | 0.0007 | - |
379
+ | 0.486 | 243 | 0.0007 | - |
380
+ | 0.488 | 244 | 0.0011 | - |
381
+ | 0.49 | 245 | 0.0014 | - |
382
+ | 0.492 | 246 | 0.0007 | - |
383
+ | 0.494 | 247 | 0.0006 | - |
384
+ | 0.496 | 248 | 0.0016 | - |
385
+ | 0.498 | 249 | 0.0013 | - |
386
+ | 0.5 | 250 | 0.0013 | - |
387
+ | 0.502 | 251 | 0.0009 | - |
388
+ | 0.504 | 252 | 0.0005 | - |
389
+ | 0.506 | 253 | 0.001 | - |
390
+ | 0.508 | 254 | 0.0011 | - |
391
+ | 0.51 | 255 | 0.0014 | - |
392
+ | 0.512 | 256 | 0.0009 | - |
393
+ | 0.514 | 257 | 0.0014 | - |
394
+ | 0.516 | 258 | 0.0014 | - |
395
+ | 0.518 | 259 | 0.0013 | - |
396
+ | 0.52 | 260 | 0.001 | - |
397
+ | 0.522 | 261 | 0.001 | - |
398
+ | 0.524 | 262 | 0.001 | - |
399
+ | 0.526 | 263 | 0.001 | - |
400
+ | 0.528 | 264 | 0.0018 | - |
401
+ | 0.53 | 265 | 0.0015 | - |
402
+ | 0.532 | 266 | 0.0009 | - |
403
+ | 0.534 | 267 | 0.0012 | - |
404
+ | 0.536 | 268 | 0.0014 | - |
405
+ | 0.538 | 269 | 0.0009 | - |
406
+ | 0.54 | 270 | 0.0009 | - |
407
+ | 0.542 | 271 | 0.0007 | - |
408
+ | 0.544 | 272 | 0.0015 | - |
409
+ | 0.546 | 273 | 0.0011 | - |
410
+ | 0.548 | 274 | 0.0007 | - |
411
+ | 0.55 | 275 | 0.0013 | - |
412
+ | 0.552 | 276 | 0.0013 | - |
413
+ | 0.554 | 277 | 0.0016 | - |
414
+ | 0.556 | 278 | 0.0011 | - |
415
+ | 0.558 | 279 | 0.0013 | - |
416
+ | 0.56 | 280 | 0.001 | - |
417
+ | 0.562 | 281 | 0.0008 | - |
418
+ | 0.564 | 282 | 0.0012 | - |
419
+ | 0.566 | 283 | 0.0012 | - |
420
+ | 0.568 | 284 | 0.001 | - |
421
+ | 0.57 | 285 | 0.0006 | - |
422
+ | 0.572 | 286 | 0.0005 | - |
423
+ | 0.574 | 287 | 0.0005 | - |
424
+ | 0.576 | 288 | 0.0018 | - |
425
+ | 0.578 | 289 | 0.0011 | - |
426
+ | 0.58 | 290 | 0.0008 | - |
427
+ | 0.582 | 291 | 0.0013 | - |
428
+ | 0.584 | 292 | 0.0008 | - |
429
+ | 0.586 | 293 | 0.0012 | - |
430
+ | 0.588 | 294 | 0.0007 | - |
431
+ | 0.59 | 295 | 0.0004 | - |
432
+ | 0.592 | 296 | 0.0009 | - |
433
+ | 0.594 | 297 | 0.0018 | - |
434
+ | 0.596 | 298 | 0.0006 | - |
435
+ | 0.598 | 299 | 0.0005 | - |
436
+ | 0.6 | 300 | 0.0008 | - |
437
+ | 0.602 | 301 | 0.0008 | - |
438
+ | 0.604 | 302 | 0.0008 | - |
439
+ | 0.606 | 303 | 0.0029 | - |
440
+ | 0.608 | 304 | 0.0007 | - |
441
+ | 0.61 | 305 | 0.001 | - |
442
+ | 0.612 | 306 | 0.0011 | - |
443
+ | 0.614 | 307 | 0.0008 | - |
444
+ | 0.616 | 308 | 0.0009 | - |
445
+ | 0.618 | 309 | 0.0006 | - |
446
+ | 0.62 | 310 | 0.0008 | - |
447
+ | 0.622 | 311 | 0.0009 | - |
448
+ | 0.624 | 312 | 0.0012 | - |
449
+ | 0.626 | 313 | 0.0008 | - |
450
+ | 0.628 | 314 | 0.0009 | - |
451
+ | 0.63 | 315 | 0.0008 | - |
452
+ | 0.632 | 316 | 0.0011 | - |
453
+ | 0.634 | 317 | 0.0004 | - |
454
+ | 0.636 | 318 | 0.001 | - |
455
+ | 0.638 | 319 | 0.0003 | - |
456
+ | 0.64 | 320 | 0.0006 | - |
457
+ | 0.642 | 321 | 0.0009 | - |
458
+ | 0.644 | 322 | 0.0005 | - |
459
+ | 0.646 | 323 | 0.0009 | - |
460
+ | 0.648 | 324 | 0.0017 | - |
461
+ | 0.65 | 325 | 0.0011 | - |
462
+ | 0.652 | 326 | 0.0009 | - |
463
+ | 0.654 | 327 | 0.0008 | - |
464
+ | 0.656 | 328 | 0.0009 | - |
465
+ | 0.658 | 329 | 0.0007 | - |
466
+ | 0.66 | 330 | 0.0005 | - |
467
+ | 0.662 | 331 | 0.0006 | - |
468
+ | 0.664 | 332 | 0.001 | - |
469
+ | 0.666 | 333 | 0.0012 | - |
470
+ | 0.668 | 334 | 0.0013 | - |
471
+ | 0.67 | 335 | 0.001 | - |
472
+ | 0.672 | 336 | 0.0008 | - |
473
+ | 0.674 | 337 | 0.0006 | - |
474
+ | 0.676 | 338 | 0.0005 | - |
475
+ | 0.678 | 339 | 0.001 | - |
476
+ | 0.68 | 340 | 0.0005 | - |
477
+ | 0.682 | 341 | 0.0008 | - |
478
+ | 0.684 | 342 | 0.0006 | - |
479
+ | 0.686 | 343 | 0.0009 | - |
480
+ | 0.688 | 344 | 0.0003 | - |
481
+ | 0.69 | 345 | 0.0011 | - |
482
+ | 0.692 | 346 | 0.0004 | - |
483
+ | 0.694 | 347 | 0.0007 | - |
484
+ | 0.696 | 348 | 0.001 | - |
485
+ | 0.698 | 349 | 0.0008 | - |
486
+ | 0.7 | 350 | 0.0006 | - |
487
+ | 0.702 | 351 | 0.0014 | - |
488
+ | 0.704 | 352 | 0.0009 | - |
489
+ | 0.706 | 353 | 0.0007 | - |
490
+ | 0.708 | 354 | 0.0004 | - |
491
+ | 0.71 | 355 | 0.0009 | - |
492
+ | 0.712 | 356 | 0.0004 | - |
493
+ | 0.714 | 357 | 0.001 | - |
494
+ | 0.716 | 358 | 0.0009 | - |
495
+ | 0.718 | 359 | 0.0009 | - |
496
+ | 0.72 | 360 | 0.0006 | - |
497
+ | 0.722 | 361 | 0.0005 | - |
498
+ | 0.724 | 362 | 0.001 | - |
499
+ | 0.726 | 363 | 0.0011 | - |
500
+ | 0.728 | 364 | 0.0011 | - |
501
+ | 0.73 | 365 | 0.0005 | - |
502
+ | 0.732 | 366 | 0.0046 | - |
503
+ | 0.734 | 367 | 0.0008 | - |
504
+ | 0.736 | 368 | 0.0007 | - |
505
+ | 0.738 | 369 | 0.0004 | - |
506
+ | 0.74 | 370 | 0.0007 | - |
507
+ | 0.742 | 371 | 0.0005 | - |
508
+ | 0.744 | 372 | 0.001 | - |
509
+ | 0.746 | 373 | 0.0016 | - |
510
+ | 0.748 | 374 | 0.0006 | - |
511
+ | 0.75 | 375 | 0.0006 | - |
512
+ | 0.752 | 376 | 0.0006 | - |
513
+ | 0.754 | 377 | 0.0003 | - |
514
+ | 0.756 | 378 | 0.0008 | - |
515
+ | 0.758 | 379 | 0.0007 | - |
516
+ | 0.76 | 380 | 0.0008 | - |
517
+ | 0.762 | 381 | 0.0013 | - |
518
+ | 0.764 | 382 | 0.0006 | - |
519
+ | 0.766 | 383 | 0.0005 | - |
520
+ | 0.768 | 384 | 0.0007 | - |
521
+ | 0.77 | 385 | 0.0006 | - |
522
+ | 0.772 | 386 | 0.0008 | - |
523
+ | 0.774 | 387 | 0.0008 | - |
524
+ | 0.776 | 388 | 0.0013 | - |
525
+ | 0.778 | 389 | 0.0007 | - |
526
+ | 0.78 | 390 | 0.0004 | - |
527
+ | 0.782 | 391 | 0.0007 | - |
528
+ | 0.784 | 392 | 0.0006 | - |
529
+ | 0.786 | 393 | 0.0007 | - |
530
+ | 0.788 | 394 | 0.0006 | - |
531
+ | 0.79 | 395 | 0.0007 | - |
532
+ | 0.792 | 396 | 0.0005 | - |
533
+ | 0.794 | 397 | 0.0008 | - |
534
+ | 0.796 | 398 | 0.0008 | - |
535
+ | 0.798 | 399 | 0.0009 | - |
536
+ | 0.8 | 400 | 0.0008 | - |
537
+ | 0.802 | 401 | 0.001 | - |
538
+ | 0.804 | 402 | 0.0007 | - |
539
+ | 0.806 | 403 | 0.0007 | - |
540
+ | 0.808 | 404 | 0.0006 | - |
541
+ | 0.81 | 405 | 0.0008 | - |
542
+ | 0.812 | 406 | 0.0009 | - |
543
+ | 0.814 | 407 | 0.0008 | - |
544
+ | 0.816 | 408 | 0.0005 | - |
545
+ | 0.818 | 409 | 0.0008 | - |
546
+ | 0.82 | 410 | 0.0006 | - |
547
+ | 0.822 | 411 | 0.0005 | - |
548
+ | 0.824 | 412 | 0.0011 | - |
549
+ | 0.826 | 413 | 0.0009 | - |
550
+ | 0.828 | 414 | 0.001 | - |
551
+ | 0.83 | 415 | 0.0008 | - |
552
+ | 0.832 | 416 | 0.0005 | - |
553
+ | 0.834 | 417 | 0.001 | - |
554
+ | 0.836 | 418 | 0.0003 | - |
555
+ | 0.838 | 419 | 0.0005 | - |
556
+ | 0.84 | 420 | 0.0005 | - |
557
+ | 0.842 | 421 | 0.0005 | - |
558
+ | 0.844 | 422 | 0.0005 | - |
559
+ | 0.846 | 423 | 0.0005 | - |
560
+ | 0.848 | 424 | 0.0004 | - |
561
+ | 0.85 | 425 | 0.0009 | - |
562
+ | 0.852 | 426 | 0.0006 | - |
563
+ | 0.854 | 427 | 0.0008 | - |
564
+ | 0.856 | 428 | 0.0004 | - |
565
+ | 0.858 | 429 | 0.0009 | - |
566
+ | 0.86 | 430 | 0.0002 | - |
567
+ | 0.862 | 431 | 0.0012 | - |
568
+ | 0.864 | 432 | 0.0008 | - |
569
+ | 0.866 | 433 | 0.0005 | - |
570
+ | 0.868 | 434 | 0.0007 | - |
571
+ | 0.87 | 435 | 0.0006 | - |
572
+ | 0.872 | 436 | 0.001 | - |
573
+ | 0.874 | 437 | 0.0008 | - |
574
+ | 0.876 | 438 | 0.0009 | - |
575
+ | 0.878 | 439 | 0.0005 | - |
576
+ | 0.88 | 440 | 0.0009 | - |
577
+ | 0.882 | 441 | 0.0007 | - |
578
+ | 0.884 | 442 | 0.001 | - |
579
+ | 0.886 | 443 | 0.0008 | - |
580
+ | 0.888 | 444 | 0.0006 | - |
581
+ | 0.89 | 445 | 0.0008 | - |
582
+ | 0.892 | 446 | 0.001 | - |
583
+ | 0.894 | 447 | 0.0011 | - |
584
+ | 0.896 | 448 | 0.0005 | - |
585
+ | 0.898 | 449 | 0.0005 | - |
586
+ | 0.9 | 450 | 0.0008 | - |
587
+ | 0.902 | 451 | 0.0007 | - |
588
+ | 0.904 | 452 | 0.0004 | - |
589
+ | 0.906 | 453 | 0.0006 | - |
590
+ | 0.908 | 454 | 0.001 | - |
591
+ | 0.91 | 455 | 0.0007 | - |
592
+ | 0.912 | 456 | 0.0005 | - |
593
+ | 0.914 | 457 | 0.0007 | - |
594
+ | 0.916 | 458 | 0.0005 | - |
595
+ | 0.918 | 459 | 0.0005 | - |
596
+ | 0.92 | 460 | 0.0006 | - |
597
+ | 0.922 | 461 | 0.0004 | - |
598
+ | 0.924 | 462 | 0.0007 | - |
599
+ | 0.926 | 463 | 0.0005 | - |
600
+ | 0.928 | 464 | 0.0007 | - |
601
+ | 0.93 | 465 | 0.0003 | - |
602
+ | 0.932 | 466 | 0.0006 | - |
603
+ | 0.934 | 467 | 0.0003 | - |
604
+ | 0.936 | 468 | 0.0005 | - |
605
+ | 0.938 | 469 | 0.0006 | - |
606
+ | 0.94 | 470 | 0.0005 | - |
607
+ | 0.942 | 471 | 0.0006 | - |
608
+ | 0.944 | 472 | 0.0006 | - |
609
+ | 0.946 | 473 | 0.0005 | - |
610
+ | 0.948 | 474 | 0.0005 | - |
611
+ | 0.95 | 475 | 0.0009 | - |
612
+ | 0.952 | 476 | 0.0004 | - |
613
+ | 0.954 | 477 | 0.0007 | - |
614
+ | 0.956 | 478 | 0.0006 | - |
615
+ | 0.958 | 479 | 0.0008 | - |
616
+ | 0.96 | 480 | 0.0003 | - |
617
+ | 0.962 | 481 | 0.0007 | - |
618
+ | 0.964 | 482 | 0.0005 | - |
619
+ | 0.966 | 483 | 0.0007 | - |
620
+ | 0.968 | 484 | 0.0007 | - |
621
+ | 0.97 | 485 | 0.0006 | - |
622
+ | 0.972 | 486 | 0.0004 | - |
623
+ | 0.974 | 487 | 0.0005 | - |
624
+ | 0.976 | 488 | 0.0005 | - |
625
+ | 0.978 | 489 | 0.0005 | - |
626
+ | 0.98 | 490 | 0.0007 | - |
627
+ | 0.982 | 491 | 0.0006 | - |
628
+ | 0.984 | 492 | 0.0005 | - |
629
+ | 0.986 | 493 | 0.0005 | - |
630
+ | 0.988 | 494 | 0.0006 | - |
631
+ | 0.99 | 495 | 0.001 | - |
632
+ | 0.992 | 496 | 0.0006 | - |
633
+ | 0.994 | 497 | 0.0011 | - |
634
+ | 0.996 | 498 | 0.0007 | - |
635
+ | 0.998 | 499 | 0.0003 | - |
636
+ | 1.0 | 500 | 0.0006 | - |
637
+ | 1.002 | 501 | 0.0003 | - |
638
+ | 1.004 | 502 | 0.0007 | - |
639
+ | 1.006 | 503 | 0.0006 | - |
640
+ | 1.008 | 504 | 0.0003 | - |
641
+ | 1.01 | 505 | 0.0005 | - |
642
+ | 1.012 | 506 | 0.0005 | - |
643
+ | 1.014 | 507 | 0.0004 | - |
644
+ | 1.016 | 508 | 0.0007 | - |
645
+ | 1.018 | 509 | 0.0005 | - |
646
+ | 1.02 | 510 | 0.0008 | - |
647
+ | 1.022 | 511 | 0.0004 | - |
648
+ | 1.024 | 512 | 0.0008 | - |
649
+ | 1.026 | 513 | 0.0007 | - |
650
+ | 1.028 | 514 | 0.0007 | - |
651
+ | 1.03 | 515 | 0.0005 | - |
652
+ | 1.032 | 516 | 0.0008 | - |
653
+ | 1.034 | 517 | 0.0006 | - |
654
+ | 1.036 | 518 | 0.0005 | - |
655
+ | 1.038 | 519 | 0.0005 | - |
656
+ | 1.04 | 520 | 0.0005 | - |
657
+ | 1.042 | 521 | 0.0007 | - |
658
+ | 1.044 | 522 | 0.0004 | - |
659
+ | 1.046 | 523 | 0.001 | - |
660
+ | 1.048 | 524 | 0.0003 | - |
661
+ | 1.05 | 525 | 0.0007 | - |
662
+ | 1.052 | 526 | 0.0004 | - |
663
+ | 1.054 | 527 | 0.0003 | - |
664
+ | 1.056 | 528 | 0.0007 | - |
665
+ | 1.058 | 529 | 0.0002 | - |
666
+ | 1.06 | 530 | 0.0007 | - |
667
+ | 1.062 | 531 | 0.0011 | - |
668
+ | 1.064 | 532 | 0.0007 | - |
669
+ | 1.066 | 533 | 0.0006 | - |
670
+ | 1.068 | 534 | 0.0005 | - |
671
+ | 1.07 | 535 | 0.0004 | - |
672
+ | 1.072 | 536 | 0.0006 | - |
673
+ | 1.074 | 537 | 0.0005 | - |
674
+ | 1.076 | 538 | 0.0005 | - |
675
+ | 1.078 | 539 | 0.0006 | - |
676
+ | 1.08 | 540 | 0.0007 | - |
677
+ | 1.082 | 541 | 0.0006 | - |
678
+ | 1.084 | 542 | 0.0006 | - |
679
+ | 1.086 | 543 | 0.0002 | - |
680
+ | 1.088 | 544 | 0.0005 | - |
681
+ | 1.09 | 545 | 0.0007 | - |
682
+ | 1.092 | 546 | 0.0009 | - |
683
+ | 1.094 | 547 | 0.0007 | - |
684
+ | 1.096 | 548 | 0.0007 | - |
685
+ | 1.098 | 549 | 0.0003 | - |
686
+ | 1.1 | 550 | 0.0004 | - |
687
+ | 1.102 | 551 | 0.0006 | - |
688
+ | 1.104 | 552 | 0.0003 | - |
689
+ | 1.106 | 553 | 0.0005 | - |
690
+ | 1.108 | 554 | 0.0003 | - |
691
+ | 1.11 | 555 | 0.0004 | - |
692
+ | 1.112 | 556 | 0.0006 | - |
693
+ | 1.114 | 557 | 0.0006 | - |
694
+ | 1.116 | 558 | 0.0008 | - |
695
+ | 1.1180 | 559 | 0.0004 | - |
696
+ | 1.12 | 560 | 0.0006 | - |
697
+ | 1.1220 | 561 | 0.0005 | - |
698
+ | 1.124 | 562 | 0.0003 | - |
699
+ | 1.126 | 563 | 0.0007 | - |
700
+ | 1.1280 | 564 | 0.0008 | - |
701
+ | 1.13 | 565 | 0.0006 | - |
702
+ | 1.1320 | 566 | 0.0004 | - |
703
+ | 1.134 | 567 | 0.0007 | - |
704
+ | 1.1360 | 568 | 0.0004 | - |
705
+ | 1.138 | 569 | 0.0005 | - |
706
+ | 1.1400 | 570 | 0.0004 | - |
707
+ | 1.142 | 571 | 0.0005 | - |
708
+ | 1.144 | 572 | 0.0003 | - |
709
+ | 1.146 | 573 | 0.0006 | - |
710
+ | 1.148 | 574 | 0.0005 | - |
711
+ | 1.15 | 575 | 0.0009 | - |
712
+ | 1.152 | 576 | 0.0007 | - |
713
+ | 1.154 | 577 | 0.0004 | - |
714
+ | 1.156 | 578 | 0.0008 | - |
715
+ | 1.158 | 579 | 0.0005 | - |
716
+ | 1.16 | 580 | 0.0004 | - |
717
+ | 1.162 | 581 | 0.0005 | - |
718
+ | 1.164 | 582 | 0.0003 | - |
719
+ | 1.166 | 583 | 0.0005 | - |
720
+ | 1.168 | 584 | 0.0004 | - |
721
+ | 1.17 | 585 | 0.0007 | - |
722
+ | 1.172 | 586 | 0.0006 | - |
723
+ | 1.174 | 587 | 0.0005 | - |
724
+ | 1.176 | 588 | 0.0003 | - |
725
+ | 1.178 | 589 | 0.0006 | - |
726
+ | 1.18 | 590 | 0.0006 | - |
727
+ | 1.182 | 591 | 0.0006 | - |
728
+ | 1.184 | 592 | 0.0005 | - |
729
+ | 1.186 | 593 | 0.0004 | - |
730
+ | 1.188 | 594 | 0.0004 | - |
731
+ | 1.19 | 595 | 0.0004 | - |
732
+ | 1.192 | 596 | 0.0002 | - |
733
+ | 1.194 | 597 | 0.0005 | - |
734
+ | 1.196 | 598 | 0.0003 | - |
735
+ | 1.198 | 599 | 0.0005 | - |
736
+ | 1.2 | 600 | 0.0003 | - |
737
+ | 1.202 | 601 | 0.0006 | - |
738
+ | 1.204 | 602 | 0.0007 | - |
739
+ | 1.206 | 603 | 0.0007 | - |
740
+ | 1.208 | 604 | 0.0004 | - |
741
+ | 1.21 | 605 | 0.0008 | - |
742
+ | 1.212 | 606 | 0.0006 | - |
743
+ | 1.214 | 607 | 0.0006 | - |
744
+ | 1.216 | 608 | 0.0004 | - |
745
+ | 1.218 | 609 | 0.0006 | - |
746
+ | 1.22 | 610 | 0.0007 | - |
747
+ | 1.222 | 611 | 0.0006 | - |
748
+ | 1.224 | 612 | 0.0006 | - |
749
+ | 1.226 | 613 | 0.0005 | - |
750
+ | 1.228 | 614 | 0.0005 | - |
751
+ | 1.23 | 615 | 0.0007 | - |
752
+ | 1.232 | 616 | 0.0004 | - |
753
+ | 1.234 | 617 | 0.0008 | - |
754
+ | 1.236 | 618 | 0.0008 | - |
755
+ | 1.238 | 619 | 0.0006 | - |
756
+ | 1.24 | 620 | 0.0006 | - |
757
+ | 1.242 | 621 | 0.0005 | - |
758
+ | 1.244 | 622 | 0.0005 | - |
759
+ | 1.246 | 623 | 0.0003 | - |
760
+ | 1.248 | 624 | 0.0004 | - |
761
+ | 1.25 | 625 | 0.0006 | - |
762
+ | 1.252 | 626 | 0.0005 | - |
763
+ | 1.254 | 627 | 0.0004 | - |
764
+ | 1.256 | 628 | 0.0005 | - |
765
+ | 1.258 | 629 | 0.0004 | - |
766
+ | 1.26 | 630 | 0.0006 | - |
767
+ | 1.262 | 631 | 0.0006 | - |
768
+ | 1.264 | 632 | 0.0007 | - |
769
+ | 1.266 | 633 | 0.0003 | - |
770
+ | 1.268 | 634 | 0.0006 | - |
771
+ | 1.27 | 635 | 0.0006 | - |
772
+ | 1.272 | 636 | 0.0006 | - |
773
+ | 1.274 | 637 | 0.0005 | - |
774
+ | 1.276 | 638 | 0.0007 | - |
775
+ | 1.278 | 639 | 0.0004 | - |
776
+ | 1.28 | 640 | 0.0006 | - |
777
+ | 1.282 | 641 | 0.0006 | - |
778
+ | 1.284 | 642 | 0.0005 | - |
779
+ | 1.286 | 643 | 0.0005 | - |
780
+ | 1.288 | 644 | 0.0006 | - |
781
+ | 1.29 | 645 | 0.0005 | - |
782
+ | 1.292 | 646 | 0.0005 | - |
783
+ | 1.294 | 647 | 0.0002 | - |
784
+ | 1.296 | 648 | 0.0004 | - |
785
+ | 1.298 | 649 | 0.0006 | - |
786
+ | 1.3 | 650 | 0.0004 | - |
787
+ | 1.302 | 651 | 0.0002 | - |
788
+ | 1.304 | 652 | 0.0006 | - |
789
+ | 1.306 | 653 | 0.0005 | - |
790
+ | 1.308 | 654 | 0.0002 | - |
791
+ | 1.31 | 655 | 0.0005 | - |
792
+ | 1.312 | 656 | 0.0005 | - |
793
+ | 1.314 | 657 | 0.0005 | - |
794
+ | 1.316 | 658 | 0.0007 | - |
795
+ | 1.318 | 659 | 0.0007 | - |
796
+ | 1.32 | 660 | 0.0004 | - |
797
+ | 1.322 | 661 | 0.0008 | - |
798
+ | 1.324 | 662 | 0.0005 | - |
799
+ | 1.326 | 663 | 0.0005 | - |
800
+ | 1.328 | 664 | 0.0005 | - |
801
+ | 1.33 | 665 | 0.0005 | - |
802
+ | 1.332 | 666 | 0.0003 | - |
803
+ | 1.334 | 667 | 0.0006 | - |
804
+ | 1.336 | 668 | 0.0004 | - |
805
+ | 1.338 | 669 | 0.0007 | - |
806
+ | 1.34 | 670 | 0.0004 | - |
807
+ | 1.342 | 671 | 0.0005 | - |
808
+ | 1.3440 | 672 | 0.0002 | - |
809
+ | 1.346 | 673 | 0.0005 | - |
810
+ | 1.3480 | 674 | 0.0005 | - |
811
+ | 1.35 | 675 | 0.0005 | - |
812
+ | 1.3520 | 676 | 0.0004 | - |
813
+ | 1.354 | 677 | 0.0004 | - |
814
+ | 1.3560 | 678 | 0.001 | - |
815
+ | 1.358 | 679 | 0.0005 | - |
816
+ | 1.3600 | 680 | 0.0004 | - |
817
+ | 1.362 | 681 | 0.0003 | - |
818
+ | 1.3640 | 682 | 0.0006 | - |
819
+ | 1.366 | 683 | 0.0003 | - |
820
+ | 1.3680 | 684 | 0.0004 | - |
821
+ | 1.37 | 685 | 0.0006 | - |
822
+ | 1.3720 | 686 | 0.0005 | - |
823
+ | 1.374 | 687 | 0.0015 | - |
824
+ | 1.376 | 688 | 0.0007 | - |
825
+ | 1.3780 | 689 | 0.0006 | - |
826
+ | 1.38 | 690 | 0.0007 | - |
827
+ | 1.3820 | 691 | 0.0009 | - |
828
+ | 1.384 | 692 | 0.0003 | - |
829
+ | 1.3860 | 693 | 0.0005 | - |
830
+ | 1.388 | 694 | 0.0003 | - |
831
+ | 1.3900 | 695 | 0.0005 | - |
832
+ | 1.392 | 696 | 0.0004 | - |
833
+ | 1.3940 | 697 | 0.0005 | - |
834
+ | 1.396 | 698 | 0.0006 | - |
835
+ | 1.3980 | 699 | 0.0006 | - |
836
+ | 1.4 | 700 | 0.0002 | - |
837
+ | 1.4020 | 701 | 0.0005 | - |
838
+ | 1.404 | 702 | 0.0007 | - |
839
+ | 1.4060 | 703 | 0.0003 | - |
840
+ | 1.408 | 704 | 0.0005 | - |
841
+ | 1.41 | 705 | 0.0005 | - |
842
+ | 1.412 | 706 | 0.0006 | - |
843
+ | 1.414 | 707 | 0.0004 | - |
844
+ | 1.416 | 708 | 0.0008 | - |
845
+ | 1.418 | 709 | 0.0003 | - |
846
+ | 1.42 | 710 | 0.0007 | - |
847
+ | 1.422 | 711 | 0.0007 | - |
848
+ | 1.424 | 712 | 0.0005 | - |
849
+ | 1.426 | 713 | 0.0005 | - |
850
+ | 1.428 | 714 | 0.0009 | - |
851
+ | 1.43 | 715 | 0.0009 | - |
852
+ | 1.432 | 716 | 0.0005 | - |
853
+ | 1.434 | 717 | 0.0004 | - |
854
+ | 1.436 | 718 | 0.0005 | - |
855
+ | 1.438 | 719 | 0.0005 | - |
856
+ | 1.44 | 720 | 0.0005 | - |
857
+ | 1.442 | 721 | 0.0003 | - |
858
+ | 1.444 | 722 | 0.0004 | - |
859
+ | 1.446 | 723 | 0.0005 | - |
860
+ | 1.448 | 724 | 0.0004 | - |
861
+ | 1.45 | 725 | 0.0007 | - |
862
+ | 1.452 | 726 | 0.0007 | - |
863
+ | 1.454 | 727 | 0.0004 | - |
864
+ | 1.456 | 728 | 0.0004 | - |
865
+ | 1.458 | 729 | 0.0003 | - |
866
+ | 1.46 | 730 | 0.0002 | - |
867
+ | 1.462 | 731 | 0.0004 | - |
868
+ | 1.464 | 732 | 0.0002 | - |
869
+ | 1.466 | 733 | 0.0005 | - |
870
+ | 1.468 | 734 | 0.0004 | - |
871
+ | 1.47 | 735 | 0.0004 | - |
872
+ | 1.472 | 736 | 0.0007 | - |
873
+ | 1.474 | 737 | 0.0005 | - |
874
+ | 1.476 | 738 | 0.0008 | - |
875
+ | 1.478 | 739 | 0.0003 | - |
876
+ | 1.48 | 740 | 0.0005 | - |
877
+ | 1.482 | 741 | 0.0004 | - |
878
+ | 1.484 | 742 | 0.0003 | - |
879
+ | 1.486 | 743 | 0.0003 | - |
880
+ | 1.488 | 744 | 0.0004 | - |
881
+ | 1.49 | 745 | 0.0004 | - |
882
+ | 1.492 | 746 | 0.0006 | - |
883
+ | 1.494 | 747 | 0.0003 | - |
884
+ | 1.496 | 748 | 0.0004 | - |
885
+ | 1.498 | 749 | 0.0005 | - |
886
+ | 1.5 | 750 | 0.0004 | - |
887
+ | 1.502 | 751 | 0.0005 | - |
888
+ | 1.504 | 752 | 0.0004 | - |
889
+ | 1.506 | 753 | 0.0008 | - |
890
+ | 1.508 | 754 | 0.0003 | - |
891
+ | 1.51 | 755 | 0.0006 | - |
892
+ | 1.512 | 756 | 0.0004 | - |
893
+ | 1.514 | 757 | 0.0004 | - |
894
+ | 1.516 | 758 | 0.0005 | - |
895
+ | 1.518 | 759 | 0.0004 | - |
896
+ | 1.52 | 760 | 0.0002 | - |
897
+ | 1.522 | 761 | 0.0003 | - |
898
+ | 1.524 | 762 | 0.0003 | - |
899
+ | 1.526 | 763 | 0.0004 | - |
900
+ | 1.528 | 764 | 0.0005 | - |
901
+ | 1.53 | 765 | 0.0004 | - |
902
+ | 1.532 | 766 | 0.001 | - |
903
+ | 1.534 | 767 | 0.0002 | - |
904
+ | 1.536 | 768 | 0.0004 | - |
905
+ | 1.538 | 769 | 0.0003 | - |
906
+ | 1.54 | 770 | 0.0004 | - |
907
+ | 1.542 | 771 | 0.0006 | - |
908
+ | 1.544 | 772 | 0.0001 | - |
909
+ | 1.546 | 773 | 0.0005 | - |
910
+ | 1.548 | 774 | 0.0005 | - |
911
+ | 1.55 | 775 | 0.0004 | - |
912
+ | 1.552 | 776 | 0.0005 | - |
913
+ | 1.554 | 777 | 0.0005 | - |
914
+ | 1.556 | 778 | 0.0005 | - |
915
+ | 1.558 | 779 | 0.0007 | - |
916
+ | 1.56 | 780 | 0.0005 | - |
917
+ | 1.562 | 781 | 0.0003 | - |
918
+ | 1.564 | 782 | 0.0007 | - |
919
+ | 1.5660 | 783 | 0.0004 | - |
920
+ | 1.568 | 784 | 0.0004 | - |
921
+ | 1.5700 | 785 | 0.0007 | - |
922
+ | 1.572 | 786 | 0.0004 | - |
923
+ | 1.5740 | 787 | 0.0005 | - |
924
+ | 1.576 | 788 | 0.0002 | - |
925
+ | 1.5780 | 789 | 0.0004 | - |
926
+ | 1.58 | 790 | 0.0006 | - |
927
+ | 1.5820 | 791 | 0.0003 | - |
928
+ | 1.584 | 792 | 0.0004 | - |
929
+ | 1.5860 | 793 | 0.0004 | - |
930
+ | 1.588 | 794 | 0.0007 | - |
931
+ | 1.5900 | 795 | 0.0005 | - |
932
+ | 1.592 | 796 | 0.0004 | - |
933
+ | 1.5940 | 797 | 0.0002 | - |
934
+ | 1.596 | 798 | 0.0005 | - |
935
+ | 1.5980 | 799 | 0.0004 | - |
936
+ | 1.6 | 800 | 0.0002 | - |
937
+ | 1.6020 | 801 | 0.0005 | - |
938
+ | 1.604 | 802 | 0.0005 | - |
939
+ | 1.6060 | 803 | 0.0002 | - |
940
+ | 1.608 | 804 | 0.0004 | - |
941
+ | 1.6100 | 805 | 0.0009 | - |
942
+ | 1.612 | 806 | 0.0002 | - |
943
+ | 1.6140 | 807 | 0.0005 | - |
944
+ | 1.616 | 808 | 0.0006 | - |
945
+ | 1.6180 | 809 | 0.0005 | - |
946
+ | 1.62 | 810 | 0.0006 | - |
947
+ | 1.6220 | 811 | 0.0004 | - |
948
+ | 1.624 | 812 | 0.0002 | - |
949
+ | 1.626 | 813 | 0.0006 | - |
950
+ | 1.6280 | 814 | 0.0004 | - |
951
+ | 1.63 | 815 | 0.0005 | - |
952
+ | 1.6320 | 816 | 0.0005 | - |
953
+ | 1.634 | 817 | 0.0005 | - |
954
+ | 1.6360 | 818 | 0.0005 | - |
955
+ | 1.638 | 819 | 0.0003 | - |
956
+ | 1.6400 | 820 | 0.0003 | - |
957
+ | 1.642 | 821 | 0.0005 | - |
958
+ | 1.6440 | 822 | 0.0006 | - |
959
+ | 1.646 | 823 | 0.0005 | - |
960
+ | 1.6480 | 824 | 0.0005 | - |
961
+ | 1.65 | 825 | 0.0003 | - |
962
+ | 1.6520 | 826 | 0.0006 | - |
963
+ | 1.654 | 827 | 0.0003 | - |
964
+ | 1.6560 | 828 | 0.0006 | - |
965
+ | 1.658 | 829 | 0.0005 | - |
966
+ | 1.6600 | 830 | 0.0004 | - |
967
+ | 1.662 | 831 | 0.0006 | - |
968
+ | 1.6640 | 832 | 0.0005 | - |
969
+ | 1.666 | 833 | 0.0007 | - |
970
+ | 1.6680 | 834 | 0.0005 | - |
971
+ | 1.67 | 835 | 0.0004 | - |
972
+ | 1.6720 | 836 | 0.0005 | - |
973
+ | 1.674 | 837 | 0.0003 | - |
974
+ | 1.6760 | 838 | 0.0006 | - |
975
+ | 1.678 | 839 | 0.0004 | - |
976
+ | 1.6800 | 840 | 0.0002 | - |
977
+ | 1.682 | 841 | 0.0005 | - |
978
+ | 1.6840 | 842 | 0.0003 | - |
979
+ | 1.686 | 843 | 0.0004 | - |
980
+ | 1.688 | 844 | 0.0005 | - |
981
+ | 1.69 | 845 | 0.0005 | - |
982
+ | 1.692 | 846 | 0.0003 | - |
983
+ | 1.694 | 847 | 0.0004 | - |
984
+ | 1.696 | 848 | 0.0004 | - |
985
+ | 1.698 | 849 | 0.0004 | - |
986
+ | 1.7 | 850 | 0.0003 | - |
987
+ | 1.702 | 851 | 0.0003 | - |
988
+ | 1.704 | 852 | 0.0004 | - |
989
+ | 1.706 | 853 | 0.0005 | - |
990
+ | 1.708 | 854 | 0.0005 | - |
991
+ | 1.71 | 855 | 0.0004 | - |
992
+ | 1.712 | 856 | 0.0004 | - |
993
+ | 1.714 | 857 | 0.0003 | - |
994
+ | 1.716 | 858 | 0.0005 | - |
995
+ | 1.718 | 859 | 0.0004 | - |
996
+ | 1.72 | 860 | 0.0006 | - |
997
+ | 1.722 | 861 | 0.0006 | - |
998
+ | 1.724 | 862 | 0.0003 | - |
999
+ | 1.726 | 863 | 0.0002 | - |
1000
+ | 1.728 | 864 | 0.0004 | - |
1001
+ | 1.73 | 865 | 0.0002 | - |
1002
+ | 1.732 | 866 | 0.0002 | - |
1003
+ | 1.734 | 867 | 0.0001 | - |
1004
+ | 1.736 | 868 | 0.0003 | - |
1005
+ | 1.738 | 869 | 0.0003 | - |
1006
+ | 1.74 | 870 | 0.0003 | - |
1007
+ | 1.742 | 871 | 0.0002 | - |
1008
+ | 1.744 | 872 | 0.0004 | - |
1009
+ | 1.746 | 873 | 0.0003 | - |
1010
+ | 1.748 | 874 | 0.0004 | - |
1011
+ | 1.75 | 875 | 0.0007 | - |
1012
+ | 1.752 | 876 | 0.0005 | - |
1013
+ | 1.754 | 877 | 0.0005 | - |
1014
+ | 1.756 | 878 | 0.0002 | - |
1015
+ | 1.758 | 879 | 0.0003 | - |
1016
+ | 1.76 | 880 | 0.0003 | - |
1017
+ | 1.762 | 881 | 0.0005 | - |
1018
+ | 1.764 | 882 | 0.0002 | - |
1019
+ | 1.766 | 883 | 0.0003 | - |
1020
+ | 1.768 | 884 | 0.0003 | - |
1021
+ | 1.77 | 885 | 0.0001 | - |
1022
+ | 1.772 | 886 | 0.0005 | - |
1023
+ | 1.774 | 887 | 0.0004 | - |
1024
+ | 1.776 | 888 | 0.0006 | - |
1025
+ | 1.778 | 889 | 0.0002 | - |
1026
+ | 1.78 | 890 | 0.0002 | - |
1027
+ | 1.782 | 891 | 0.0004 | - |
1028
+ | 1.784 | 892 | 0.0005 | - |
1029
+ | 1.786 | 893 | 0.0006 | - |
1030
+ | 1.788 | 894 | 0.0004 | - |
1031
+ | 1.79 | 895 | 0.0003 | - |
1032
+ | 1.792 | 896 | 0.0004 | - |
1033
+ | 1.794 | 897 | 0.0006 | - |
1034
+ | 1.796 | 898 | 0.0005 | - |
1035
+ | 1.798 | 899 | 0.0003 | - |
1036
+ | 1.8 | 900 | 0.0003 | - |
1037
+ | 1.802 | 901 | 0.0004 | - |
1038
+ | 1.804 | 902 | 0.0005 | - |
1039
+ | 1.806 | 903 | 0.0003 | - |
1040
+ | 1.808 | 904 | 0.0005 | - |
1041
+ | 1.81 | 905 | 0.0007 | - |
1042
+ | 1.812 | 906 | 0.0005 | - |
1043
+ | 1.814 | 907 | 0.0004 | - |
1044
+ | 1.8160 | 908 | 0.0005 | - |
1045
+ | 1.818 | 909 | 0.0005 | - |
1046
+ | 1.8200 | 910 | 0.0004 | - |
1047
+ | 1.822 | 911 | 0.0004 | - |
1048
+ | 1.8240 | 912 | 0.0003 | - |
1049
+ | 1.826 | 913 | 0.0005 | - |
1050
+ | 1.8280 | 914 | 0.0006 | - |
1051
+ | 1.83 | 915 | 0.0004 | - |
1052
+ | 1.8320 | 916 | 0.0003 | - |
1053
+ | 1.834 | 917 | 0.0006 | - |
1054
+ | 1.8360 | 918 | 0.0004 | - |
1055
+ | 1.838 | 919 | 0.0004 | - |
1056
+ | 1.8400 | 920 | 0.0004 | - |
1057
+ | 1.842 | 921 | 0.0003 | - |
1058
+ | 1.8440 | 922 | 0.0003 | - |
1059
+ | 1.846 | 923 | 0.0004 | - |
1060
+ | 1.8480 | 924 | 0.0007 | - |
1061
+ | 1.85 | 925 | 0.0002 | - |
1062
+ | 1.8520 | 926 | 0.0006 | - |
1063
+ | 1.854 | 927 | 0.0004 | - |
1064
+ | 1.8560 | 928 | 0.0004 | - |
1065
+ | 1.858 | 929 | 0.0004 | - |
1066
+ | 1.8600 | 930 | 0.0004 | - |
1067
+ | 1.862 | 931 | 0.0002 | - |
1068
+ | 1.8640 | 932 | 0.0004 | - |
1069
+ | 1.866 | 933 | 0.0006 | - |
1070
+ | 1.8680 | 934 | 0.0006 | - |
1071
+ | 1.87 | 935 | 0.0004 | - |
1072
+ | 1.8720 | 936 | 0.0003 | - |
1073
+ | 1.874 | 937 | 0.0007 | - |
1074
+ | 1.876 | 938 | 0.0005 | - |
1075
+ | 1.8780 | 939 | 0.0004 | - |
1076
+ | 1.88 | 940 | 0.0003 | - |
1077
+ | 1.8820 | 941 | 0.0006 | - |
1078
+ | 1.884 | 942 | 0.0002 | - |
1079
+ | 1.8860 | 943 | 0.0006 | - |
1080
+ | 1.888 | 944 | 0.0004 | - |
1081
+ | 1.8900 | 945 | 0.0005 | - |
1082
+ | 1.892 | 946 | 0.0004 | - |
1083
+ | 1.8940 | 947 | 0.0004 | - |
1084
+ | 1.896 | 948 | 0.0006 | - |
1085
+ | 1.8980 | 949 | 0.0005 | - |
1086
+ | 1.9 | 950 | 0.0007 | - |
1087
+ | 1.9020 | 951 | 0.0007 | - |
1088
+ | 1.904 | 952 | 0.0007 | - |
1089
+ | 1.9060 | 953 | 0.0004 | - |
1090
+ | 1.908 | 954 | 0.0006 | - |
1091
+ | 1.9100 | 955 | 0.0004 | - |
1092
+ | 1.912 | 956 | 0.0003 | - |
1093
+ | 1.9140 | 957 | 0.0002 | - |
1094
+ | 1.916 | 958 | 0.0004 | - |
1095
+ | 1.9180 | 959 | 0.0005 | - |
1096
+ | 1.92 | 960 | 0.0005 | - |
1097
+ | 1.9220 | 961 | 0.0005 | - |
1098
+ | 1.924 | 962 | 0.0004 | - |
1099
+ | 1.9260 | 963 | 0.0006 | - |
1100
+ | 1.928 | 964 | 0.0009 | - |
1101
+ | 1.9300 | 965 | 0.0005 | - |
1102
+ | 1.932 | 966 | 0.0004 | - |
1103
+ | 1.9340 | 967 | 0.0004 | - |
1104
+ | 1.936 | 968 | 0.0006 | - |
1105
+ | 1.938 | 969 | 0.0005 | - |
1106
+ | 1.94 | 970 | 0.0006 | - |
1107
+ | 1.942 | 971 | 0.0006 | - |
1108
+ | 1.944 | 972 | 0.0003 | - |
1109
+ | 1.946 | 973 | 0.0005 | - |
1110
+ | 1.948 | 974 | 0.0004 | - |
1111
+ | 1.95 | 975 | 0.0004 | - |
1112
+ | 1.952 | 976 | 0.0003 | - |
1113
+ | 1.954 | 977 | 0.0005 | - |
1114
+ | 1.956 | 978 | 0.0004 | - |
1115
+ | 1.958 | 979 | 0.0002 | - |
1116
+ | 1.96 | 980 | 0.0003 | - |
1117
+ | 1.962 | 981 | 0.0005 | - |
1118
+ | 1.964 | 982 | 0.0004 | - |
1119
+ | 1.966 | 983 | 0.0004 | - |
1120
+ | 1.968 | 984 | 0.0002 | - |
1121
+ | 1.97 | 985 | 0.0007 | - |
1122
+ | 1.972 | 986 | 0.0005 | - |
1123
+ | 1.974 | 987 | 0.0005 | - |
1124
+ | 1.976 | 988 | 0.0006 | - |
1125
+ | 1.978 | 989 | 0.0007 | - |
1126
+ | 1.98 | 990 | 0.0006 | - |
1127
+ | 1.982 | 991 | 0.0003 | - |
1128
+ | 1.984 | 992 | 0.0004 | - |
1129
+ | 1.986 | 993 | 0.0002 | - |
1130
+ | 1.988 | 994 | 0.0006 | - |
1131
+ | 1.99 | 995 | 0.0002 | - |
1132
+ | 1.992 | 996 | 0.0005 | - |
1133
+ | 1.994 | 997 | 0.0004 | - |
1134
+ | 1.996 | 998 | 0.0004 | - |
1135
+ | 1.998 | 999 | 0.0005 | - |
1136
+ | 2.0 | 1000 | 0.0006 | - |
1137
+
1138
+ ### Framework Versions
1139
+ - Python: 3.11.12
1140
+ - SetFit: 1.1.2
1141
+ - Sentence Transformers: 3.4.1
1142
+ - Transformers: 4.51.3
1143
+ - PyTorch: 2.6.0+cu124
1144
+ - Datasets: 3.5.0
1145
+ - Tokenizers: 0.21.1
1146
+
1147
+ ## Citation
1148
+
1149
+ ### BibTeX
1150
+ ```bibtex
1151
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
1152
+ doi = {10.48550/ARXIV.2209.11055},
1153
+ url = {https://arxiv.org/abs/2209.11055},
1154
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
1155
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
1156
+ title = {Efficient Few-Shot Learning Without Prompts},
1157
+ publisher = {arXiv},
1158
+ year = {2022},
1159
+ copyright = {Creative Commons Attribution 4.0 International}
1160
+ }
1161
+ ```
1162
+
1163
+ <!--
1164
+ ## Glossary
1165
+
1166
+ *Clearly define terms in order to be accessible across audiences.*
1167
+ -->
1168
+
1169
+ <!--
1170
+ ## Model Card Authors
1171
+
1172
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
1173
+ -->
1174
+
1175
+ <!--
1176
+ ## Model Card Contact
1177
+
1178
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
1179
+ -->
config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "MPNetModel"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "bos_token_id": 0,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-05,
14
+ "max_position_embeddings": 514,
15
+ "model_type": "mpnet",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 12,
18
+ "pad_token_id": 1,
19
+ "relative_attention_num_buckets": 32,
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.51.3",
22
+ "vocab_size": 30527
23
+ }
config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.4.1",
4
+ "transformers": "4.51.3",
5
+ "pytorch": "2.6.0+cu124"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": "cosine"
10
+ }
config_setfit.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "normalize_embeddings": false,
3
+ "labels": [
4
+ "drop_call",
5
+ "start_recording",
6
+ "stop_recording",
7
+ "text_todo"
8
+ ]
9
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9cb99b66303a9fd19022e665b0766f7ee93c9992a4b49fff46ce887f86bb14f1
3
+ size 437967672
model_head.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1596c019785d399296f26f44ee42da533eb0fd7842b4ccb56f04eb8a7891503f
3
+ size 25479
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": false,
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": false,
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 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": false,
46
+ "cls_token": "<s>",
47
+ "do_basic_tokenize": true,
48
+ "do_lower_case": true,
49
+ "eos_token": "</s>",
50
+ "extra_special_tokens": {},
51
+ "mask_token": "<mask>",
52
+ "model_max_length": 512,
53
+ "never_split": null,
54
+ "pad_token": "<pad>",
55
+ "sep_token": "</s>",
56
+ "strip_accents": null,
57
+ "tokenize_chinese_chars": true,
58
+ "tokenizer_class": "MPNetTokenizer",
59
+ "unk_token": "[UNK]"
60
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff