Hugging Face's logo

joshuasundance
/
mtg-coloridentity-multilabel-classification

Text Classification
setfit
Safetensors
sentence-transformers
English
mpnet
mtg
multilabel
magic
generated_from_setfit_trainer
Eval Results
Model card Files Community
joshuasundance commited on
Commit
80613fc
•
1 Parent(s): 26ca34a

Push model using huggingface_hub.

Browse files
Files changed (13) hide show
  1. 1_Pooling/config.json +9 -0
  2. README.md +1320 -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 +1,1320 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: 'Stoic Farmer
12
+
13
+
14
+ When Stoic Farmer enters the battlefield, search your library for a basic Plains
15
+ card and reveal it. If an opponent controls more lands than you, put it onto the
16
+ battlefield tapped. Otherwise put it into your hand. Then shuffle.
17
+
18
+ Foretell {1}{W} (During your turn, you may pay {2} and exile this card from your
19
+ hand face down. Cast it on a later turn for its foretell cost.)'
20
+ - text: 'Hibernation Sliver
21
+
22
+
23
+ All Slivers have "Pay 2 life: Return this permanent to its owner''s hand."'
24
+ - text: 'Scattershot Archer
25
+
26
+
27
+ {T}: Scattershot Archer deals 1 damage to each creature with flying.'
28
+ - text: 'Seize the Initiative
29
+
30
+
31
+ Target creature gets +1/+1 and gains first strike until end of turn.'
32
+ - text: 'Voldaren Duelist
33
+
34
+
35
+ Haste
36
+
37
+ When Voldaren Duelist enters the battlefield, target creature can''t block this
38
+ turn.'
39
+ pipeline_tag: text-classification
40
+ inference: false
41
+ base_model: sentence-transformers/paraphrase-mpnet-base-v2
42
+ model-index:
43
+ - name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
44
+ results:
45
+ - task:
46
+ type: text-classification
47
+ name: Text Classification
48
+ dataset:
49
+ name: Unknown
50
+ type: unknown
51
+ split: test
52
+ metrics:
53
+ - type: accuracy
54
+ value: 0.7145687016027372
55
+ name: Accuracy
56
+ ---
57
+
58
+ # SetFit with sentence-transformers/paraphrase-mpnet-base-v2
59
+
60
+ 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.
61
+
62
+ The model has been trained using an efficient few-shot learning technique that involves:
63
+
64
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
65
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
66
+
67
+ ## Model Details
68
+
69
+ ### Model Description
70
+ - **Model Type:** SetFit
71
+ - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
72
+ - **Classification head:** a OneVsRestClassifier instance
73
+ - **Maximum Sequence Length:** 512 tokens
74
+ <!-- - **Number of Classes:** Unknown -->
75
+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
76
+ <!-- - **Language:** Unknown -->
77
+ <!-- - **License:** Unknown -->
78
+
79
+ ### Model Sources
80
+
81
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
82
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
83
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
84
+
85
+ ## Evaluation
86
+
87
+ ### Metrics
88
+ | Label | Accuracy |
89
+ |:--------|:---------|
90
+ | **all** | 0.7146 |
91
+
92
+ ## Uses
93
+
94
+ ### Direct Use for Inference
95
+
96
+ First install the SetFit library:
97
+
98
+ ```bash
99
+ pip install setfit
100
+ ```
101
+
102
+ Then you can load this model and run inference.
103
+
104
+ ```python
105
+ from setfit import SetFitModel
106
+
107
+ # Download from the 🤗 Hub
108
+ model = SetFitModel.from_pretrained("setfit_model_id")
109
+ # Run inference
110
+ preds = model("Scattershot Archer
111
+
112
+ {T}: Scattershot Archer deals 1 damage to each creature with flying.")
113
+ ```
114
+
115
+ <!--
116
+ ### Downstream Use
117
+
118
+ *List how someone could finetune this model on their own dataset.*
119
+ -->
120
+
121
+ <!--
122
+ ### Out-of-Scope Use
123
+
124
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
125
+ -->
126
+
127
+ <!--
128
+ ## Bias, Risks and Limitations
129
+
130
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
131
+ -->
132
+
133
+ <!--
134
+ ### Recommendations
135
+
136
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
137
+ -->
138
+
139
+ ## Training Details
140
+
141
+ ### Training Set Metrics
142
+ | Training set | Min | Median | Max |
143
+ |:-------------|:----|:--------|:----|
144
+ | Word count | 2 | 27.6981 | 125 |
145
+
146
+ ### Training Hyperparameters
147
+ - batch_size: (16, 16)
148
+ - num_epochs: (1, 1)
149
+ - max_steps: -1
150
+ - sampling_strategy: oversampling
151
+ - num_iterations: 20
152
+ - body_learning_rate: (2e-05, 2e-05)
153
+ - head_learning_rate: 2e-05
154
+ - loss: CosineSimilarityLoss
155
+ - distance_metric: cosine_distance
156
+ - margin: 0.25
157
+ - end_to_end: False
158
+ - use_amp: False
159
+ - warmup_proportion: 0.1
160
+ - seed: 42
161
+ - eval_max_steps: -1
162
+ - load_best_model_at_end: False
163
+
164
+ ### Training Results
165
+ | Epoch | Step | Training Loss | Validation Loss |
166
+ |:------:|:-----:|:-------------:|:---------------:|
167
+ | 0.0000 | 1 | 0.2605 | - |
168
+ | 0.0009 | 50 | 0.3223 | - |
169
+ | 0.0018 | 100 | 0.2684 | - |
170
+ | 0.0027 | 150 | 0.2719 | - |
171
+ | 0.0036 | 200 | 0.2633 | - |
172
+ | 0.0045 | 250 | 0.2316 | - |
173
+ | 0.0054 | 300 | 0.2421 | - |
174
+ | 0.0063 | 350 | 0.214 | - |
175
+ | 0.0072 | 400 | 0.2395 | - |
176
+ | 0.0081 | 450 | 0.2538 | - |
177
+ | 0.0090 | 500 | 0.2395 | - |
178
+ | 0.0099 | 550 | 0.2397 | - |
179
+ | 0.0108 | 600 | 0.26 | - |
180
+ | 0.0117 | 650 | 0.2746 | - |
181
+ | 0.0126 | 700 | 0.2475 | - |
182
+ | 0.0135 | 750 | 0.2246 | - |
183
+ | 0.0144 | 800 | 0.2283 | - |
184
+ | 0.0153 | 850 | 0.2298 | - |
185
+ | 0.0162 | 900 | 0.215 | - |
186
+ | 0.0171 | 950 | 0.207 | - |
187
+ | 0.0180 | 1000 | 0.267 | - |
188
+ | 0.0189 | 1050 | 0.2208 | - |
189
+ | 0.0198 | 1100 | 0.279 | - |
190
+ | 0.0207 | 1150 | 0.229 | - |
191
+ | 0.0216 | 1200 | 0.2151 | - |
192
+ | 0.0225 | 1250 | 0.2535 | - |
193
+ | 0.0234 | 1300 | 0.2877 | - |
194
+ | 0.0243 | 1350 | 0.2363 | - |
195
+ | 0.0252 | 1400 | 0.2105 | - |
196
+ | 0.0261 | 1450 | 0.2008 | - |
197
+ | 0.0270 | 1500 | 0.2007 | - |
198
+ | 0.0279 | 1550 | 0.2174 | - |
199
+ | 0.0288 | 1600 | 0.2656 | - |
200
+ | 0.0297 | 1650 | 0.2201 | - |
201
+ | 0.0306 | 1700 | 0.2003 | - |
202
+ | 0.0315 | 1750 | 0.1754 | - |
203
+ | 0.0324 | 1800 | 0.1691 | - |
204
+ | 0.0333 | 1850 | 0.1601 | - |
205
+ | 0.0342 | 1900 | 0.2164 | - |
206
+ | 0.0351 | 1950 | 0.2484 | - |
207
+ | 0.0360 | 2000 | 0.1987 | - |
208
+ | 0.0369 | 2050 | 0.2213 | - |
209
+ | 0.0378 | 2100 | 0.1926 | - |
210
+ | 0.0387 | 2150 | 0.203 | - |
211
+ | 0.0396 | 2200 | 0.3085 | - |
212
+ | 0.0405 | 2250 | 0.1433 | - |
213
+ | 0.0414 | 2300 | 0.2142 | - |
214
+ | 0.0423 | 2350 | 0.2168 | - |
215
+ | 0.0432 | 2400 | 0.1593 | - |
216
+ | 0.0441 | 2450 | 0.1916 | - |
217
+ | 0.0450 | 2500 | 0.2276 | - |
218
+ | 0.0459 | 2550 | 0.1327 | - |
219
+ | 0.0468 | 2600 | 0.2008 | - |
220
+ | 0.0477 | 2650 | 0.176 | - |
221
+ | 0.0486 | 2700 | 0.156 | - |
222
+ | 0.0495 | 2750 | 0.1111 | - |
223
+ | 0.0504 | 2800 | 0.1874 | - |
224
+ | 0.0513 | 2850 | 0.1932 | - |
225
+ | 0.0522 | 2900 | 0.1368 | - |
226
+ | 0.0531 | 2950 | 0.2034 | - |
227
+ | 0.0540 | 3000 | 0.2156 | - |
228
+ | 0.0549 | 3050 | 0.2058 | - |
229
+ | 0.0558 | 3100 | 0.2087 | - |
230
+ | 0.0567 | 3150 | 0.2237 | - |
231
+ | 0.0576 | 3200 | 0.1176 | - |
232
+ | 0.0585 | 3250 | 0.2106 | - |
233
+ | 0.0594 | 3300 | 0.1955 | - |
234
+ | 0.0603 | 3350 | 0.3023 | - |
235
+ | 0.0612 | 3400 | 0.1772 | - |
236
+ | 0.0621 | 3450 | 0.1349 | - |
237
+ | 0.0630 | 3500 | 0.228 | - |
238
+ | 0.0639 | 3550 | 0.1392 | - |
239
+ | 0.0648 | 3600 | 0.2427 | - |
240
+ | 0.0657 | 3650 | 0.1837 | - |
241
+ | 0.0666 | 3700 | 0.1677 | - |
242
+ | 0.0675 | 3750 | 0.1701 | - |
243
+ | 0.0684 | 3800 | 0.1005 | - |
244
+ | 0.0693 | 3850 | 0.1389 | - |
245
+ | 0.0702 | 3900 | 0.1104 | - |
246
+ | 0.0711 | 3950 | 0.1995 | - |
247
+ | 0.0720 | 4000 | 0.1954 | - |
248
+ | 0.0729 | 4050 | 0.2294 | - |
249
+ | 0.0738 | 4100 | 0.2467 | - |
250
+ | 0.0747 | 4150 | 0.1473 | - |
251
+ | 0.0756 | 4200 | 0.2144 | - |
252
+ | 0.0765 | 4250 | 0.2426 | - |
253
+ | 0.0774 | 4300 | 0.117 | - |
254
+ | 0.0784 | 4350 | 0.1414 | - |
255
+ | 0.0793 | 4400 | 0.1858 | - |
256
+ | 0.0802 | 4450 | 0.142 | - |
257
+ | 0.0811 | 4500 | 0.2029 | - |
258
+ | 0.0820 | 4550 | 0.0982 | - |
259
+ | 0.0829 | 4600 | 0.2232 | - |
260
+ | 0.0838 | 4650 | 0.1262 | - |
261
+ | 0.0847 | 4700 | 0.1787 | - |
262
+ | 0.0856 | 4750 | 0.1136 | - |
263
+ | 0.0865 | 4800 | 0.1539 | - |
264
+ | 0.0874 | 4850 | 0.1044 | - |
265
+ | 0.0883 | 4900 | 0.1124 | - |
266
+ | 0.0892 | 4950 | 0.2406 | - |
267
+ | 0.0901 | 5000 | 0.1673 | - |
268
+ | 0.0910 | 5050 | 0.1529 | - |
269
+ | 0.0919 | 5100 | 0.1105 | - |
270
+ | 0.0928 | 5150 | 0.2392 | - |
271
+ | 0.0937 | 5200 | 0.1937 | - |
272
+ | 0.0946 | 5250 | 0.2045 | - |
273
+ | 0.0955 | 5300 | 0.1527 | - |
274
+ | 0.0964 | 5350 | 0.0835 | - |
275
+ | 0.0973 | 5400 | 0.2018 | - |
276
+ | 0.0982 | 5450 | 0.1031 | - |
277
+ | 0.0991 | 5500 | 0.1805 | - |
278
+ | 0.1000 | 5550 | 0.2392 | - |
279
+ | 0.1009 | 5600 | 0.0867 | - |
280
+ | 0.1018 | 5650 | 0.1787 | - |
281
+ | 0.1027 | 5700 | 0.0891 | - |
282
+ | 0.1036 | 5750 | 0.2148 | - |
283
+ | 0.1045 | 5800 | 0.0937 | - |
284
+ | 0.1054 | 5850 | 0.1451 | - |
285
+ | 0.1063 | 5900 | 0.189 | - |
286
+ | 0.1072 | 5950 | 0.1082 | - |
287
+ | 0.1081 | 6000 | 0.2226 | - |
288
+ | 0.1090 | 6050 | 0.1938 | - |
289
+ | 0.1099 | 6100 | 0.1394 | - |
290
+ | 0.1108 | 6150 | 0.2158 | - |
291
+ | 0.1117 | 6200 | 0.142 | - |
292
+ | 0.1126 | 6250 | 0.1007 | - |
293
+ | 0.1135 | 6300 | 0.1545 | - |
294
+ | 0.1144 | 6350 | 0.1162 | - |
295
+ | 0.1153 | 6400 | 0.142 | - |
296
+ | 0.1162 | 6450 | 0.1252 | - |
297
+ | 0.1171 | 6500 | 0.1764 | - |
298
+ | 0.1180 | 6550 | 0.0405 | - |
299
+ | 0.1189 | 6600 | 0.0682 | - |
300
+ | 0.1198 | 6650 | 0.1181 | - |
301
+ | 0.1207 | 6700 | 0.1066 | - |
302
+ | 0.1216 | 6750 | 0.2133 | - |
303
+ | 0.1225 | 6800 | 0.1513 | - |
304
+ | 0.1234 | 6850 | 0.0937 | - |
305
+ | 0.1243 | 6900 | 0.1249 | - |
306
+ | 0.1252 | 6950 | 0.2474 | - |
307
+ | 0.1261 | 7000 | 0.0905 | - |
308
+ | 0.1270 | 7050 | 0.1067 | - |
309
+ | 0.1279 | 7100 | 0.1639 | - |
310
+ | 0.1288 | 7150 | 0.2112 | - |
311
+ | 0.1297 | 7200 | 0.0852 | - |
312
+ | 0.1306 | 7250 | 0.0963 | - |
313
+ | 0.1315 | 7300 | 0.1056 | - |
314
+ | 0.1324 | 7350 | 0.0679 | - |
315
+ | 0.1333 | 7400 | 0.0888 | - |
316
+ | 0.1342 | 7450 | 0.1096 | - |
317
+ | 0.1351 | 7500 | 0.0855 | - |
318
+ | 0.1360 | 7550 | 0.0702 | - |
319
+ | 0.1369 | 7600 | 0.0456 | - |
320
+ | 0.1378 | 7650 | 0.1596 | - |
321
+ | 0.1387 | 7700 | 0.1146 | - |
322
+ | 0.1396 | 7750 | 0.1561 | - |
323
+ | 0.1405 | 7800 | 0.134 | - |
324
+ | 0.1414 | 7850 | 0.1962 | - |
325
+ | 0.1423 | 7900 | 0.1557 | - |
326
+ | 0.1432 | 7950 | 0.1178 | - |
327
+ | 0.1441 | 8000 | 0.142 | - |
328
+ | 0.1450 | 8050 | 0.1368 | - |
329
+ | 0.1459 | 8100 | 0.1537 | - |
330
+ | 0.1468 | 8150 | 0.1454 | - |
331
+ | 0.1477 | 8200 | 0.2237 | - |
332
+ | 0.1486 | 8250 | 0.1172 | - |
333
+ | 0.1495 | 8300 | 0.0987 | - |
334
+ | 0.1504 | 8350 | 0.062 | - |
335
+ | 0.1513 | 8400 | 0.0981 | - |
336
+ | 0.1522 | 8450 | 0.1276 | - |
337
+ | 0.1531 | 8500 | 0.1503 | - |
338
+ | 0.1540 | 8550 | 0.099 | - |
339
+ | 0.1549 | 8600 | 0.1606 | - |
340
+ | 0.1558 | 8650 | 0.1157 | - |
341
+ | 0.1567 | 8700 | 0.0971 | - |
342
+ | 0.1576 | 8750 | 0.1783 | - |
343
+ | 0.1585 | 8800 | 0.0727 | - |
344
+ | 0.1594 | 8850 | 0.0888 | - |
345
+ | 0.1603 | 8900 | 0.1898 | - |
346
+ | 0.1612 | 8950 | 0.1185 | - |
347
+ | 0.1621 | 9000 | 0.1595 | - |
348
+ | 0.1630 | 9050 | 0.1044 | - |
349
+ | 0.1639 | 9100 | 0.1146 | - |
350
+ | 0.1648 | 9150 | 0.1444 | - |
351
+ | 0.1657 | 9200 | 0.0684 | - |
352
+ | 0.1666 | 9250 | 0.0735 | - |
353
+ | 0.1675 | 9300 | 0.0986 | - |
354
+ | 0.1684 | 9350 | 0.1439 | - |
355
+ | 0.1693 | 9400 | 0.0933 | - |
356
+ | 0.1702 | 9450 | 0.1357 | - |
357
+ | 0.1711 | 9500 | 0.0887 | - |
358
+ | 0.1720 | 9550 | 0.1112 | - |
359
+ | 0.1729 | 9600 | 0.0949 | - |
360
+ | 0.1738 | 9650 | 0.0777 | - |
361
+ | 0.1747 | 9700 | 0.0964 | - |
362
+ | 0.1756 | 9750 | 0.1507 | - |
363
+ | 0.1765 | 9800 | 0.0949 | - |
364
+ | 0.1774 | 9850 | 0.0218 | - |
365
+ | 0.1783 | 9900 | 0.0985 | - |
366
+ | 0.1792 | 9950 | 0.0662 | - |
367
+ | 0.1801 | 10000 | 0.1998 | - |
368
+ | 0.1810 | 10050 | 0.0385 | - |
369
+ | 0.1819 | 10100 | 0.0991 | - |
370
+ | 0.1828 | 10150 | 0.1084 | - |
371
+ | 0.1837 | 10200 | 0.0837 | - |
372
+ | 0.1846 | 10250 | 0.1003 | - |
373
+ | 0.1855 | 10300 | 0.1278 | - |
374
+ | 0.1864 | 10350 | 0.1085 | - |
375
+ | 0.1873 | 10400 | 0.093 | - |
376
+ | 0.1882 | 10450 | 0.0794 | - |
377
+ | 0.1891 | 10500 | 0.1013 | - |
378
+ | 0.1900 | 10550 | 0.0605 | - |
379
+ | 0.1909 | 10600 | 0.1076 | - |
380
+ | 0.1918 | 10650 | 0.2 | - |
381
+ | 0.1927 | 10700 | 0.2024 | - |
382
+ | 0.1936 | 10750 | 0.1346 | - |
383
+ | 0.1945 | 10800 | 0.0548 | - |
384
+ | 0.1954 | 10850 | 0.0828 | - |
385
+ | 0.1963 | 10900 | 0.0776 | - |
386
+ | 0.1972 | 10950 | 0.0694 | - |
387
+ | 0.1981 | 11000 | 0.1473 | - |
388
+ | 0.1990 | 11050 | 0.1222 | - |
389
+ | 0.1999 | 11100 | 0.0889 | - |
390
+ | 0.2008 | 11150 | 0.1062 | - |
391
+ | 0.2017 | 11200 | 0.1663 | - |
392
+ | 0.2026 | 11250 | 0.1587 | - |
393
+ | 0.2035 | 11300 | 0.1054 | - |
394
+ | 0.2044 | 11350 | 0.0915 | - |
395
+ | 0.2053 | 11400 | 0.0517 | - |
396
+ | 0.2062 | 11450 | 0.0782 | - |
397
+ | 0.2071 | 11500 | 0.1826 | - |
398
+ | 0.2080 | 11550 | 0.1524 | - |
399
+ | 0.2089 | 11600 | 0.1023 | - |
400
+ | 0.2098 | 11650 | 0.1056 | - |
401
+ | 0.2107 | 11700 | 0.1251 | - |
402
+ | 0.2116 | 11750 | 0.0895 | - |
403
+ | 0.2125 | 11800 | 0.1104 | - |
404
+ | 0.2134 | 11850 | 0.0762 | - |
405
+ | 0.2143 | 11900 | 0.1532 | - |
406
+ | 0.2152 | 11950 | 0.0941 | - |
407
+ | 0.2161 | 12000 | 0.1207 | - |
408
+ | 0.2170 | 12050 | 0.0839 | - |
409
+ | 0.2179 | 12100 | 0.0431 | - |
410
+ | 0.2188 | 12150 | 0.1572 | - |
411
+ | 0.2197 | 12200 | 0.0717 | - |
412
+ | 0.2206 | 12250 | 0.1244 | - |
413
+ | 0.2215 | 12300 | 0.1261 | - |
414
+ | 0.2224 | 12350 | 0.0732 | - |
415
+ | 0.2233 | 12400 | 0.1829 | - |
416
+ | 0.2242 | 12450 | 0.1142 | - |
417
+ | 0.2251 | 12500 | 0.0272 | - |
418
+ | 0.2260 | 12550 | 0.1645 | - |
419
+ | 0.2269 | 12600 | 0.0775 | - |
420
+ | 0.2278 | 12650 | 0.1358 | - |
421
+ | 0.2287 | 12700 | 0.0485 | - |
422
+ | 0.2296 | 12750 | 0.1348 | - |
423
+ | 0.2305 | 12800 | 0.1387 | - |
424
+ | 0.2314 | 12850 | 0.0783 | - |
425
+ | 0.2323 | 12900 | 0.0713 | - |
426
+ | 0.2332 | 12950 | 0.0838 | - |
427
+ | 0.2341 | 13000 | 0.1496 | - |
428
+ | 0.2351 | 13050 | 0.0463 | - |
429
+ | 0.2360 | 13100 | 0.0665 | - |
430
+ | 0.2369 | 13150 | 0.0149 | - |
431
+ | 0.2378 | 13200 | 0.0744 | - |
432
+ | 0.2387 | 13250 | 0.0411 | - |
433
+ | 0.2396 | 13300 | 0.1816 | - |
434
+ | 0.2405 | 13350 | 0.0956 | - |
435
+ | 0.2414 | 13400 | 0.1163 | - |
436
+ | 0.2423 | 13450 | 0.1136 | - |
437
+ | 0.2432 | 13500 | 0.116 | - |
438
+ | 0.2441 | 13550 | 0.0997 | - |
439
+ | 0.2450 | 13600 | 0.0649 | - |
440
+ | 0.2459 | 13650 | 0.0291 | - |
441
+ | 0.2468 | 13700 | 0.1282 | - |
442
+ | 0.2477 | 13750 | 0.0576 | - |
443
+ | 0.2486 | 13800 | 0.0891 | - |
444
+ | 0.2495 | 13850 | 0.0872 | - |
445
+ | 0.2504 | 13900 | 0.0606 | - |
446
+ | 0.2513 | 13950 | 0.0508 | - |
447
+ | 0.2522 | 14000 | 0.0457 | - |
448
+ | 0.2531 | 14050 | 0.0656 | - |
449
+ | 0.2540 | 14100 | 0.0936 | - |
450
+ | 0.2549 | 14150 | 0.0739 | - |
451
+ | 0.2558 | 14200 | 0.0941 | - |
452
+ | 0.2567 | 14250 | 0.1054 | - |
453
+ | 0.2576 | 14300 | 0.1083 | - |
454
+ | 0.2585 | 14350 | 0.0662 | - |
455
+ | 0.2594 | 14400 | 0.1149 | - |
456
+ | 0.2603 | 14450 | 0.1683 | - |
457
+ | 0.2612 | 14500 | 0.0796 | - |
458
+ | 0.2621 | 14550 | 0.0439 | - |
459
+ | 0.2630 | 14600 | 0.027 | - |
460
+ | 0.2639 | 14650 | 0.0666 | - |
461
+ | 0.2648 | 14700 | 0.041 | - |
462
+ | 0.2657 | 14750 | 0.0915 | - |
463
+ | 0.2666 | 14800 | 0.0678 | - |
464
+ | 0.2675 | 14850 | 0.1054 | - |
465
+ | 0.2684 | 14900 | 0.051 | - |
466
+ | 0.2693 | 14950 | 0.1416 | - |
467
+ | 0.2702 | 15000 | 0.0569 | - |
468
+ | 0.2711 | 15050 | 0.0851 | - |
469
+ | 0.2720 | 15100 | 0.065 | - |
470
+ | 0.2729 | 15150 | 0.0199 | - |
471
+ | 0.2738 | 15200 | 0.0837 | - |
472
+ | 0.2747 | 15250 | 0.0828 | - |
473
+ | 0.2756 | 15300 | 0.1139 | - |
474
+ | 0.2765 | 15350 | 0.1072 | - |
475
+ | 0.2774 | 15400 | 0.1733 | - |
476
+ | 0.2783 | 15450 | 0.1137 | - |
477
+ | 0.2792 | 15500 | 0.0504 | - |
478
+ | 0.2801 | 15550 | 0.0513 | - |
479
+ | 0.2810 | 15600 | 0.0579 | - |
480
+ | 0.2819 | 15650 | 0.0765 | - |
481
+ | 0.2828 | 15700 | 0.0466 | - |
482
+ | 0.2837 | 15750 | 0.0887 | - |
483
+ | 0.2846 | 15800 | 0.0741 | - |
484
+ | 0.2855 | 15850 | 0.0617 | - |
485
+ | 0.2864 | 15900 | 0.0368 | - |
486
+ | 0.2873 | 15950 | 0.0632 | - |
487
+ | 0.2882 | 16000 | 0.062 | - |
488
+ | 0.2891 | 16050 | 0.0413 | - |
489
+ | 0.2900 | 16100 | 0.0347 | - |
490
+ | 0.2909 | 16150 | 0.1019 | - |
491
+ | 0.2918 | 16200 | 0.0846 | - |
492
+ | 0.2927 | 16250 | 0.0714 | - |
493
+ | 0.2936 | 16300 | 0.0389 | - |
494
+ | 0.2945 | 16350 | 0.0514 | - |
495
+ | 0.2954 | 16400 | 0.1095 | - |
496
+ | 0.2963 | 16450 | 0.0753 | - |
497
+ | 0.2972 | 16500 | 0.0648 | - |
498
+ | 0.2981 | 16550 | 0.062 | - |
499
+ | 0.2990 | 16600 | 0.065 | - |
500
+ | 0.2999 | 16650 | 0.1014 | - |
501
+ | 0.3008 | 16700 | 0.037 | - |
502
+ | 0.3017 | 16750 | 0.1058 | - |
503
+ | 0.3026 | 16800 | 0.1038 | - |
504
+ | 0.3035 | 16850 | 0.0733 | - |
505
+ | 0.3044 | 16900 | 0.0791 | - |
506
+ | 0.3053 | 16950 | 0.1121 | - |
507
+ | 0.3062 | 17000 | 0.1084 | - |
508
+ | 0.3071 | 17050 | 0.0496 | - |
509
+ | 0.3080 | 17100 | 0.0733 | - |
510
+ | 0.3089 | 17150 | 0.0379 | - |
511
+ | 0.3098 | 17200 | 0.0448 | - |
512
+ | 0.3107 | 17250 | 0.1056 | - |
513
+ | 0.3116 | 17300 | 0.0687 | - |
514
+ | 0.3125 | 17350 | 0.0245 | - |
515
+ | 0.3134 | 17400 | 0.0584 | - |
516
+ | 0.3143 | 17450 | 0.0946 | - |
517
+ | 0.3152 | 17500 | 0.0857 | - |
518
+ | 0.3161 | 17550 | 0.1144 | - |
519
+ | 0.3170 | 17600 | 0.1119 | - |
520
+ | 0.3179 | 17650 | 0.1323 | - |
521
+ | 0.3188 | 17700 | 0.1026 | - |
522
+ | 0.3197 | 17750 | 0.0933 | - |
523
+ | 0.3206 | 17800 | 0.0671 | - |
524
+ | 0.3215 | 17850 | 0.0132 | - |
525
+ | 0.3224 | 17900 | 0.0611 | - |
526
+ | 0.3233 | 17950 | 0.056 | - |
527
+ | 0.3242 | 18000 | 0.0329 | - |
528
+ | 0.3251 | 18050 | 0.0358 | - |
529
+ | 0.3260 | 18100 | 0.1389 | - |
530
+ | 0.3269 | 18150 | 0.0653 | - |
531
+ | 0.3278 | 18200 | 0.0438 | - |
532
+ | 0.3287 | 18250 | 0.0612 | - |
533
+ | 0.3296 | 18300 | 0.1245 | - |
534
+ | 0.3305 | 18350 | 0.1018 | - |
535
+ | 0.3314 | 18400 | 0.082 | - |
536
+ | 0.3323 | 18450 | 0.0577 | - |
537
+ | 0.3332 | 18500 | 0.1349 | - |
538
+ | 0.3341 | 18550 | 0.0871 | - |
539
+ | 0.3350 | 18600 | 0.0525 | - |
540
+ | 0.3359 | 18650 | 0.0551 | - |
541
+ | 0.3368 | 18700 | 0.046 | - |
542
+ | 0.3377 | 18750 | 0.1323 | - |
543
+ | 0.3386 | 18800 | 0.147 | - |
544
+ | 0.3395 | 18850 | 0.045 | - |
545
+ | 0.3404 | 18900 | 0.027 | - |
546
+ | 0.3413 | 18950 | 0.1375 | - |
547
+ | 0.3422 | 19000 | 0.0569 | - |
548
+ | 0.3431 | 19050 | 0.0454 | - |
549
+ | 0.3440 | 19100 | 0.1545 | - |
550
+ | 0.3449 | 19150 | 0.0703 | - |
551
+ | 0.3458 | 19200 | 0.0434 | - |
552
+ | 0.3467 | 19250 | 0.0133 | - |
553
+ | 0.3476 | 19300 | 0.095 | - |
554
+ | 0.3485 | 19350 | 0.0344 | - |
555
+ | 0.3494 | 19400 | 0.0449 | - |
556
+ | 0.3503 | 19450 | 0.1665 | - |
557
+ | 0.3512 | 19500 | 0.0521 | - |
558
+ | 0.3521 | 19550 | 0.0844 | - |
559
+ | 0.3530 | 19600 | 0.1029 | - |
560
+ | 0.3539 | 19650 | 0.0858 | - |
561
+ | 0.3548 | 19700 | 0.1014 | - |
562
+ | 0.3557 | 19750 | 0.076 | - |
563
+ | 0.3566 | 19800 | 0.0882 | - |
564
+ | 0.3575 | 19850 | 0.1332 | - |
565
+ | 0.3584 | 19900 | 0.0877 | - |
566
+ | 0.3593 | 19950 | 0.0531 | - |
567
+ | 0.3602 | 20000 | 0.0796 | - |
568
+ | 0.3611 | 20050 | 0.0783 | - |
569
+ | 0.3620 | 20100 | 0.044 | - |
570
+ | 0.3629 | 20150 | 0.182 | - |
571
+ | 0.3638 | 20200 | 0.0672 | - |
572
+ | 0.3647 | 20250 | 0.0571 | - |
573
+ | 0.3656 | 20300 | 0.0452 | - |
574
+ | 0.3665 | 20350 | 0.0693 | - |
575
+ | 0.3674 | 20400 | 0.087 | - |
576
+ | 0.3683 | 20450 | 0.0594 | - |
577
+ | 0.3692 | 20500 | 0.0791 | - |
578
+ | 0.3701 | 20550 | 0.0546 | - |
579
+ | 0.3710 | 20600 | 0.1234 | - |
580
+ | 0.3719 | 20650 | 0.0592 | - |
581
+ | 0.3728 | 20700 | 0.0462 | - |
582
+ | 0.3737 | 20750 | 0.064 | - |
583
+ | 0.3746 | 20800 | 0.0991 | - |
584
+ | 0.3755 | 20850 | 0.0322 | - |
585
+ | 0.3764 | 20900 | 0.0624 | - |
586
+ | 0.3773 | 20950 | 0.0522 | - |
587
+ | 0.3782 | 21000 | 0.0826 | - |
588
+ | 0.3791 | 21050 | 0.0962 | - |
589
+ | 0.3800 | 21100 | 0.0556 | - |
590
+ | 0.3809 | 21150 | 0.0287 | - |
591
+ | 0.3818 | 21200 | 0.0798 | - |
592
+ | 0.3827 | 21250 | 0.0722 | - |
593
+ | 0.3836 | 21300 | 0.0784 | - |
594
+ | 0.3845 | 21350 | 0.0558 | - |
595
+ | 0.3854 | 21400 | 0.0405 | - |
596
+ | 0.3863 | 21450 | 0.1242 | - |
597
+ | 0.3872 | 21500 | 0.1275 | - |
598
+ | 0.3881 | 21550 | 0.0679 | - |
599
+ | 0.3890 | 21600 | 0.05 | - |
600
+ | 0.3899 | 21650 | 0.0593 | - |
601
+ | 0.3909 | 21700 | 0.1064 | - |
602
+ | 0.3918 | 21750 | 0.1139 | - |
603
+ | 0.3927 | 21800 | 0.1437 | - |
604
+ | 0.3936 | 21850 | 0.1023 | - |
605
+ | 0.3945 | 21900 | 0.0259 | - |
606
+ | 0.3954 | 21950 | 0.0481 | - |
607
+ | 0.3963 | 22000 | 0.0358 | - |
608
+ | 0.3972 | 22050 | 0.0236 | - |
609
+ | 0.3981 | 22100 | 0.0573 | - |
610
+ | 0.3990 | 22150 | 0.123 | - |
611
+ | 0.3999 | 22200 | 0.0783 | - |
612
+ | 0.4008 | 22250 | 0.0661 | - |
613
+ | 0.4017 | 22300 | 0.0598 | - |
614
+ | 0.4026 | 22350 | 0.0387 | - |
615
+ | 0.4035 | 22400 | 0.0347 | - |
616
+ | 0.4044 | 22450 | 0.0271 | - |
617
+ | 0.4053 | 22500 | 0.0532 | - |
618
+ | 0.4062 | 22550 | 0.0515 | - |
619
+ | 0.4071 | 22600 | 0.0416 | - |
620
+ | 0.4080 | 22650 | 0.0912 | - |
621
+ | 0.4089 | 22700 | 0.0275 | - |
622
+ | 0.4098 | 22750 | 0.1205 | - |
623
+ | 0.4107 | 22800 | 0.025 | - |
624
+ | 0.4116 | 22850 | 0.0827 | - |
625
+ | 0.4125 | 22900 | 0.1313 | - |
626
+ | 0.4134 | 22950 | 0.0709 | - |
627
+ | 0.4143 | 23000 | 0.045 | - |
628
+ | 0.4152 | 23050 | 0.07 | - |
629
+ | 0.4161 | 23100 | 0.1394 | - |
630
+ | 0.4170 | 23150 | 0.0125 | - |
631
+ | 0.4179 | 23200 | 0.0982 | - |
632
+ | 0.4188 | 23250 | 0.0595 | - |
633
+ | 0.4197 | 23300 | 0.1046 | - |
634
+ | 0.4206 | 23350 | 0.0363 | - |
635
+ | 0.4215 | 23400 | 0.0789 | - |
636
+ | 0.4224 | 23450 | 0.0477 | - |
637
+ | 0.4233 | 23500 | 0.1119 | - |
638
+ | 0.4242 | 23550 | 0.0854 | - |
639
+ | 0.4251 | 23600 | 0.0811 | - |
640
+ | 0.4260 | 23650 | 0.0482 | - |
641
+ | 0.4269 | 23700 | 0.0241 | - |
642
+ | 0.4278 | 23750 | 0.0508 | - |
643
+ | 0.4287 | 23800 | 0.0437 | - |
644
+ | 0.4296 | 23850 | 0.1025 | - |
645
+ | 0.4305 | 23900 | 0.0857 | - |
646
+ | 0.4314 | 23950 | 0.0242 | - |
647
+ | 0.4323 | 24000 | 0.0993 | - |
648
+ | 0.4332 | 24050 | 0.0426 | - |
649
+ | 0.4341 | 24100 | 0.0259 | - |
650
+ | 0.4350 | 24150 | 0.0612 | - |
651
+ | 0.4359 | 24200 | 0.0604 | - |
652
+ | 0.4368 | 24250 | 0.0838 | - |
653
+ | 0.4377 | 24300 | 0.1664 | - |
654
+ | 0.4386 | 24350 | 0.0614 | - |
655
+ | 0.4395 | 24400 | 0.0525 | - |
656
+ | 0.4404 | 24450 | 0.036 | - |
657
+ | 0.4413 | 24500 | 0.0293 | - |
658
+ | 0.4422 | 24550 | 0.0181 | - |
659
+ | 0.4431 | 24600 | 0.0901 | - |
660
+ | 0.4440 | 24650 | 0.0812 | - |
661
+ | 0.4449 | 24700 | 0.0439 | - |
662
+ | 0.4458 | 24750 | 0.1715 | - |
663
+ | 0.4467 | 24800 | 0.0555 | - |
664
+ | 0.4476 | 24850 | 0.0177 | - |
665
+ | 0.4485 | 24900 | 0.0253 | - |
666
+ | 0.4494 | 24950 | 0.1183 | - |
667
+ | 0.4503 | 25000 | 0.0599 | - |
668
+ | 0.4512 | 25050 | 0.0783 | - |
669
+ | 0.4521 | 25100 | 0.0889 | - |
670
+ | 0.4530 | 25150 | 0.0186 | - |
671
+ | 0.4539 | 25200 | 0.075 | - |
672
+ | 0.4548 | 25250 | 0.03 | - |
673
+ | 0.4557 | 25300 | 0.0311 | - |
674
+ | 0.4566 | 25350 | 0.0826 | - |
675
+ | 0.4575 | 25400 | 0.0406 | - |
676
+ | 0.4584 | 25450 | 0.0672 | - |
677
+ | 0.4593 | 25500 | 0.0872 | - |
678
+ | 0.4602 | 25550 | 0.1159 | - |
679
+ | 0.4611 | 25600 | 0.0405 | - |
680
+ | 0.4620 | 25650 | 0.0318 | - |
681
+ | 0.4629 | 25700 | 0.075 | - |
682
+ | 0.4638 | 25750 | 0.0533 | - |
683
+ | 0.4647 | 25800 | 0.0498 | - |
684
+ | 0.4656 | 25850 | 0.0694 | - |
685
+ | 0.4665 | 25900 | 0.0394 | - |
686
+ | 0.4674 | 25950 | 0.1791 | - |
687
+ | 0.4683 | 26000 | 0.0315 | - |
688
+ | 0.4692 | 26050 | 0.0277 | - |
689
+ | 0.4701 | 26100 | 0.0447 | - |
690
+ | 0.4710 | 26150 | 0.059 | - |
691
+ | 0.4719 | 26200 | 0.0787 | - |
692
+ | 0.4728 | 26250 | 0.0743 | - |
693
+ | 0.4737 | 26300 | 0.0304 | - |
694
+ | 0.4746 | 26350 | 0.0507 | - |
695
+ | 0.4755 | 26400 | 0.0389 | - |
696
+ | 0.4764 | 26450 | 0.0399 | - |
697
+ | 0.4773 | 26500 | 0.0201 | - |
698
+ | 0.4782 | 26550 | 0.0423 | - |
699
+ | 0.4791 | 26600 | 0.0408 | - |
700
+ | 0.4800 | 26650 | 0.0329 | - |
701
+ | 0.4809 | 26700 | 0.0288 | - |
702
+ | 0.4818 | 26750 | 0.1072 | - |
703
+ | 0.4827 | 26800 | 0.1211 | - |
704
+ | 0.4836 | 26850 | 0.0531 | - |
705
+ | 0.4845 | 26900 | 0.0967 | - |
706
+ | 0.4854 | 26950 | 0.0188 | - |
707
+ | 0.4863 | 27000 | 0.0868 | - |
708
+ | 0.4872 | 27050 | 0.1007 | - |
709
+ | 0.4881 | 27100 | 0.0375 | - |
710
+ | 0.4890 | 27150 | 0.0529 | - |
711
+ | 0.4899 | 27200 | 0.0422 | - |
712
+ | 0.4908 | 27250 | 0.0391 | - |
713
+ | 0.4917 | 27300 | 0.0221 | - |
714
+ | 0.4926 | 27350 | 0.1447 | - |
715
+ | 0.4935 | 27400 | 0.0505 | - |
716
+ | 0.4944 | 27450 | 0.1414 | - |
717
+ | 0.4953 | 27500 | 0.0798 | - |
718
+ | 0.4962 | 27550 | 0.0375 | - |
719
+ | 0.4971 | 27600 | 0.0603 | - |
720
+ | 0.4980 | 27650 | 0.1289 | - |
721
+ | 0.4989 | 27700 | 0.0574 | - |
722
+ | 0.4998 | 27750 | 0.0957 | - |
723
+ | 0.5007 | 27800 | 0.0799 | - |
724
+ | 0.5016 | 27850 | 0.0755 | - |
725
+ | 0.5025 | 27900 | 0.0888 | - |
726
+ | 0.5034 | 27950 | 0.0168 | - |
727
+ | 0.5043 | 28000 | 0.0764 | - |
728
+ | 0.5052 | 28050 | 0.0392 | - |
729
+ | 0.5061 | 28100 | 0.0383 | - |
730
+ | 0.5070 | 28150 | 0.0313 | - |
731
+ | 0.5079 | 28200 | 0.0074 | - |
732
+ | 0.5088 | 28250 | 0.091 | - |
733
+ | 0.5097 | 28300 | 0.0608 | - |
734
+ | 0.5106 | 28350 | 0.0332 | - |
735
+ | 0.5115 | 28400 | 0.0997 | - |
736
+ | 0.5124 | 28450 | 0.0805 | - |
737
+ | 0.5133 | 28500 | 0.0378 | - |
738
+ | 0.5142 | 28550 | 0.08 | - |
739
+ | 0.5151 | 28600 | 0.0394 | - |
740
+ | 0.5160 | 28650 | 0.0712 | - |
741
+ | 0.5169 | 28700 | 0.0284 | - |
742
+ | 0.5178 | 28750 | 0.0301 | - |
743
+ | 0.5187 | 28800 | 0.1545 | - |
744
+ | 0.5196 | 28850 | 0.0546 | - |
745
+ | 0.5205 | 28900 | 0.0302 | - |
746
+ | 0.5214 | 28950 | 0.0518 | - |
747
+ | 0.5223 | 29000 | 0.0488 | - |
748
+ | 0.5232 | 29050 | 0.091 | - |
749
+ | 0.5241 | 29100 | 0.0989 | - |
750
+ | 0.5250 | 29150 | 0.0481 | - |
751
+ | 0.5259 | 29200 | 0.1095 | - |
752
+ | 0.5268 | 29250 | 0.0343 | - |
753
+ | 0.5277 | 29300 | 0.0334 | - |
754
+ | 0.5286 | 29350 | 0.0449 | - |
755
+ | 0.5295 | 29400 | 0.064 | - |
756
+ | 0.5304 | 29450 | 0.0749 | - |
757
+ | 0.5313 | 29500 | 0.0084 | - |
758
+ | 0.5322 | 29550 | 0.0247 | - |
759
+ | 0.5331 | 29600 | 0.0204 | - |
760
+ | 0.5340 | 29650 | 0.0369 | - |
761
+ | 0.5349 | 29700 | 0.0921 | - |
762
+ | 0.5358 | 29750 | 0.0607 | - |
763
+ | 0.5367 | 29800 | 0.0384 | - |
764
+ | 0.5376 | 29850 | 0.0867 | - |
765
+ | 0.5385 | 29900 | 0.1473 | - |
766
+ | 0.5394 | 29950 | 0.0606 | - |
767
+ | 0.5403 | 30000 | 0.0799 | - |
768
+ | 0.5412 | 30050 | 0.0747 | - |
769
+ | 0.5421 | 30100 | 0.0769 | - |
770
+ | 0.5430 | 30150 | 0.0244 | - |
771
+ | 0.5439 | 30200 | 0.0641 | - |
772
+ | 0.5448 | 30250 | 0.0333 | - |
773
+ | 0.5457 | 30300 | 0.0245 | - |
774
+ | 0.5466 | 30350 | 0.0185 | - |
775
+ | 0.5476 | 30400 | 0.0478 | - |
776
+ | 0.5485 | 30450 | 0.0846 | - |
777
+ | 0.5494 | 30500 | 0.068 | - |
778
+ | 0.5503 | 30550 | 0.0687 | - |
779
+ | 0.5512 | 30600 | 0.0521 | - |
780
+ | 0.5521 | 30650 | 0.0592 | - |
781
+ | 0.5530 | 30700 | 0.0493 | - |
782
+ | 0.5539 | 30750 | 0.035 | - |
783
+ | 0.5548 | 30800 | 0.0773 | - |
784
+ | 0.5557 | 30850 | 0.0627 | - |
785
+ | 0.5566 | 30900 | 0.0299 | - |
786
+ | 0.5575 | 30950 | 0.0815 | - |
787
+ | 0.5584 | 31000 | 0.0207 | - |
788
+ | 0.5593 | 31050 | 0.0339 | - |
789
+ | 0.5602 | 31100 | 0.0205 | - |
790
+ | 0.5611 | 31150 | 0.0559 | - |
791
+ | 0.5620 | 31200 | 0.0605 | - |
792
+ | 0.5629 | 31250 | 0.0251 | - |
793
+ | 0.5638 | 31300 | 0.0905 | - |
794
+ | 0.5647 | 31350 | 0.0185 | - |
795
+ | 0.5656 | 31400 | 0.0461 | - |
796
+ | 0.5665 | 31450 | 0.0444 | - |
797
+ | 0.5674 | 31500 | 0.0465 | - |
798
+ | 0.5683 | 31550 | 0.0194 | - |
799
+ | 0.5692 | 31600 | 0.0353 | - |
800
+ | 0.5701 | 31650 | 0.0668 | - |
801
+ | 0.5710 | 31700 | 0.0831 | - |
802
+ | 0.5719 | 31750 | 0.0845 | - |
803
+ | 0.5728 | 31800 | 0.0525 | - |
804
+ | 0.5737 | 31850 | 0.0418 | - |
805
+ | 0.5746 | 31900 | 0.0239 | - |
806
+ | 0.5755 | 31950 | 0.0667 | - |
807
+ | 0.5764 | 32000 | 0.0419 | - |
808
+ | 0.5773 | 32050 | 0.1183 | - |
809
+ | 0.5782 | 32100 | 0.0358 | - |
810
+ | 0.5791 | 32150 | 0.0341 | - |
811
+ | 0.5800 | 32200 | 0.0462 | - |
812
+ | 0.5809 | 32250 | 0.0119 | - |
813
+ | 0.5818 | 32300 | 0.0309 | - |
814
+ | 0.5827 | 32350 | 0.0614 | - |
815
+ | 0.5836 | 32400 | 0.0688 | - |
816
+ | 0.5845 | 32450 | 0.0242 | - |
817
+ | 0.5854 | 32500 | 0.0384 | - |
818
+ | 0.5863 | 32550 | 0.0764 | - |
819
+ | 0.5872 | 32600 | 0.0512 | - |
820
+ | 0.5881 | 32650 | 0.0545 | - |
821
+ | 0.5890 | 32700 | 0.0515 | - |
822
+ | 0.5899 | 32750 | 0.0905 | - |
823
+ | 0.5908 | 32800 | 0.0266 | - |
824
+ | 0.5917 | 32850 | 0.1118 | - |
825
+ | 0.5926 | 32900 | 0.0393 | - |
826
+ | 0.5935 | 32950 | 0.0172 | - |
827
+ | 0.5944 | 33000 | 0.0303 | - |
828
+ | 0.5953 | 33050 | 0.0523 | - |
829
+ | 0.5962 | 33100 | 0.0153 | - |
830
+ | 0.5971 | 33150 | 0.0347 | - |
831
+ | 0.5980 | 33200 | 0.0144 | - |
832
+ | 0.5989 | 33250 | 0.0826 | - |
833
+ | 0.5998 | 33300 | 0.0194 | - |
834
+ | 0.6007 | 33350 | 0.031 | - |
835
+ | 0.6016 | 33400 | 0.1032 | - |
836
+ | 0.6025 | 33450 | 0.0865 | - |
837
+ | 0.6034 | 33500 | 0.0175 | - |
838
+ | 0.6043 | 33550 | 0.0785 | - |
839
+ | 0.6052 | 33600 | 0.0645 | - |
840
+ | 0.6061 | 33650 | 0.012 | - |
841
+ | 0.6070 | 33700 | 0.0237 | - |
842
+ | 0.6079 | 33750 | 0.0527 | - |
843
+ | 0.6088 | 33800 | 0.0375 | - |
844
+ | 0.6097 | 33850 | 0.0727 | - |
845
+ | 0.6106 | 33900 | 0.0764 | - |
846
+ | 0.6115 | 33950 | 0.0447 | - |
847
+ | 0.6124 | 34000 | 0.0358 | - |
848
+ | 0.6133 | 34050 | 0.0762 | - |
849
+ | 0.6142 | 34100 | 0.0306 | - |
850
+ | 0.6151 | 34150 | 0.0431 | - |
851
+ | 0.6160 | 34200 | 0.0256 | - |
852
+ | 0.6169 | 34250 | 0.0894 | - |
853
+ | 0.6178 | 34300 | 0.0297 | - |
854
+ | 0.6187 | 34350 | 0.0495 | - |
855
+ | 0.6196 | 34400 | 0.0394 | - |
856
+ | 0.6205 | 34450 | 0.0689 | - |
857
+ | 0.6214 | 34500 | 0.0224 | - |
858
+ | 0.6223 | 34550 | 0.0248 | - |
859
+ | 0.6232 | 34600 | 0.0587 | - |
860
+ | 0.6241 | 34650 | 0.0585 | - |
861
+ | 0.625 | 34700 | 0.0279 | - |
862
+ | 0.6259 | 34750 | 0.0267 | - |
863
+ | 0.6268 | 34800 | 0.0182 | - |
864
+ | 0.6277 | 34850 | 0.0422 | - |
865
+ | 0.6286 | 34900 | 0.0166 | - |
866
+ | 0.6295 | 34950 | 0.0246 | - |
867
+ | 0.6304 | 35000 | 0.0248 | - |
868
+ | 0.6313 | 35050 | 0.0902 | - |
869
+ | 0.6322 | 35100 | 0.0309 | - |
870
+ | 0.6331 | 35150 | 0.0705 | - |
871
+ | 0.6340 | 35200 | 0.0507 | - |
872
+ | 0.6349 | 35250 | 0.019 | - |
873
+ | 0.6358 | 35300 | 0.0947 | - |
874
+ | 0.6367 | 35350 | 0.0226 | - |
875
+ | 0.6376 | 35400 | 0.0534 | - |
876
+ | 0.6385 | 35450 | 0.0607 | - |
877
+ | 0.6394 | 35500 | 0.0208 | - |
878
+ | 0.6403 | 35550 | 0.0198 | - |
879
+ | 0.6412 | 35600 | 0.0298 | - |
880
+ | 0.6421 | 35650 | 0.0191 | - |
881
+ | 0.6430 | 35700 | 0.0589 | - |
882
+ | 0.6439 | 35750 | 0.0909 | - |
883
+ | 0.6448 | 35800 | 0.0829 | - |
884
+ | 0.6457 | 35850 | 0.055 | - |
885
+ | 0.6466 | 35900 | 0.0188 | - |
886
+ | 0.6475 | 35950 | 0.033 | - |
887
+ | 0.6484 | 36000 | 0.0617 | - |
888
+ | 0.6493 | 36050 | 0.0374 | - |
889
+ | 0.6502 | 36100 | 0.0481 | - |
890
+ | 0.6511 | 36150 | 0.034 | - |
891
+ | 0.6520 | 36200 | 0.1183 | - |
892
+ | 0.6529 | 36250 | 0.0265 | - |
893
+ | 0.6538 | 36300 | 0.0413 | - |
894
+ | 0.6547 | 36350 | 0.0232 | - |
895
+ | 0.6556 | 36400 | 0.0244 | - |
896
+ | 0.6565 | 36450 | 0.0452 | - |
897
+ | 0.6574 | 36500 | 0.072 | - |
898
+ | 0.6583 | 36550 | 0.0216 | - |
899
+ | 0.6592 | 36600 | 0.0383 | - |
900
+ | 0.6601 | 36650 | 0.0625 | - |
901
+ | 0.6610 | 36700 | 0.0875 | - |
902
+ | 0.6619 | 36750 | 0.1208 | - |
903
+ | 0.6628 | 36800 | 0.0431 | - |
904
+ | 0.6637 | 36850 | 0.025 | - |
905
+ | 0.6646 | 36900 | 0.056 | - |
906
+ | 0.6655 | 36950 | 0.0399 | - |
907
+ | 0.6664 | 37000 | 0.0521 | - |
908
+ | 0.6673 | 37050 | 0.0415 | - |
909
+ | 0.6682 | 37100 | 0.1265 | - |
910
+ | 0.6691 | 37150 | 0.022 | - |
911
+ | 0.6700 | 37200 | 0.0395 | - |
912
+ | 0.6709 | 37250 | 0.0759 | - |
913
+ | 0.6718 | 37300 | 0.0428 | - |
914
+ | 0.6727 | 37350 | 0.0304 | - |
915
+ | 0.6736 | 37400 | 0.0203 | - |
916
+ | 0.6745 | 37450 | 0.0484 | - |
917
+ | 0.6754 | 37500 | 0.0384 | - |
918
+ | 0.6763 | 37550 | 0.0548 | - |
919
+ | 0.6772 | 37600 | 0.0346 | - |
920
+ | 0.6781 | 37650 | 0.0284 | - |
921
+ | 0.6790 | 37700 | 0.0247 | - |
922
+ | 0.6799 | 37750 | 0.0497 | - |
923
+ | 0.6808 | 37800 | 0.0796 | - |
924
+ | 0.6817 | 37850 | 0.0603 | - |
925
+ | 0.6826 | 37900 | 0.0381 | - |
926
+ | 0.6835 | 37950 | 0.0292 | - |
927
+ | 0.6844 | 38000 | 0.0295 | - |
928
+ | 0.6853 | 38050 | 0.0312 | - |
929
+ | 0.6862 | 38100 | 0.056 | - |
930
+ | 0.6871 | 38150 | 0.0198 | - |
931
+ | 0.6880 | 38200 | 0.0648 | - |
932
+ | 0.6889 | 38250 | 0.0529 | - |
933
+ | 0.6898 | 38300 | 0.018 | - |
934
+ | 0.6907 | 38350 | 0.0837 | - |
935
+ | 0.6916 | 38400 | 0.0366 | - |
936
+ | 0.6925 | 38450 | 0.0216 | - |
937
+ | 0.6934 | 38500 | 0.0436 | - |
938
+ | 0.6943 | 38550 | 0.0211 | - |
939
+ | 0.6952 | 38600 | 0.0532 | - |
940
+ | 0.6961 | 38650 | 0.0468 | - |
941
+ | 0.6970 | 38700 | 0.1161 | - |
942
+ | 0.6979 | 38750 | 0.073 | - |
943
+ | 0.6988 | 38800 | 0.0201 | - |
944
+ | 0.6997 | 38850 | 0.1307 | - |
945
+ | 0.7006 | 38900 | 0.0281 | - |
946
+ | 0.7015 | 38950 | 0.0891 | - |
947
+ | 0.7024 | 39000 | 0.0204 | - |
948
+ | 0.7034 | 39050 | 0.0363 | - |
949
+ | 0.7043 | 39100 | 0.0551 | - |
950
+ | 0.7052 | 39150 | 0.0213 | - |
951
+ | 0.7061 | 39200 | 0.139 | - |
952
+ | 0.7070 | 39250 | 0.013 | - |
953
+ | 0.7079 | 39300 | 0.024 | - |
954
+ | 0.7088 | 39350 | 0.071 | - |
955
+ | 0.7097 | 39400 | 0.026 | - |
956
+ | 0.7106 | 39450 | 0.0294 | - |
957
+ | 0.7115 | 39500 | 0.0245 | - |
958
+ | 0.7124 | 39550 | 0.011 | - |
959
+ | 0.7133 | 39600 | 0.0099 | - |
960
+ | 0.7142 | 39650 | 0.0829 | - |
961
+ | 0.7151 | 39700 | 0.0637 | - |
962
+ | 0.7160 | 39750 | 0.0109 | - |
963
+ | 0.7169 | 39800 | 0.0113 | - |
964
+ | 0.7178 | 39850 | 0.0297 | - |
965
+ | 0.7187 | 39900 | 0.0291 | - |
966
+ | 0.7196 | 39950 | 0.0526 | - |
967
+ | 0.7205 | 40000 | 0.0339 | - |
968
+ | 0.7214 | 40050 | 0.09 | - |
969
+ | 0.7223 | 40100 | 0.0565 | - |
970
+ | 0.7232 | 40150 | 0.0435 | - |
971
+ | 0.7241 | 40200 | 0.0218 | - |
972
+ | 0.7250 | 40250 | 0.032 | - |
973
+ | 0.7259 | 40300 | 0.1011 | - |
974
+ | 0.7268 | 40350 | 0.0334 | - |
975
+ | 0.7277 | 40400 | 0.0363 | - |
976
+ | 0.7286 | 40450 | 0.065 | - |
977
+ | 0.7295 | 40500 | 0.0408 | - |
978
+ | 0.7304 | 40550 | 0.0229 | - |
979
+ | 0.7313 | 40600 | 0.07 | - |
980
+ | 0.7322 | 40650 | 0.0315 | - |
981
+ | 0.7331 | 40700 | 0.0406 | - |
982
+ | 0.7340 | 40750 | 0.0151 | - |
983
+ | 0.7349 | 40800 | 0.0399 | - |
984
+ | 0.7358 | 40850 | 0.0399 | - |
985
+ | 0.7367 | 40900 | 0.0201 | - |
986
+ | 0.7376 | 40950 | 0.0402 | - |
987
+ | 0.7385 | 41000 | 0.0957 | - |
988
+ | 0.7394 | 41050 | 0.0271 | - |
989
+ | 0.7403 | 41100 | 0.0341 | - |
990
+ | 0.7412 | 41150 | 0.0572 | - |
991
+ | 0.7421 | 41200 | 0.0389 | - |
992
+ | 0.7430 | 41250 | 0.0319 | - |
993
+ | 0.7439 | 41300 | 0.0262 | - |
994
+ | 0.7448 | 41350 | 0.0809 | - |
995
+ | 0.7457 | 41400 | 0.0208 | - |
996
+ | 0.7466 | 41450 | 0.0423 | - |
997
+ | 0.7475 | 41500 | 0.0673 | - |
998
+ | 0.7484 | 41550 | 0.025 | - |
999
+ | 0.7493 | 41600 | 0.0764 | - |
1000
+ | 0.7502 | 41650 | 0.0293 | - |
1001
+ | 0.7511 | 41700 | 0.0545 | - |
1002
+ | 0.7520 | 41750 | 0.0219 | - |
1003
+ | 0.7529 | 41800 | 0.0119 | - |
1004
+ | 0.7538 | 41850 | 0.08 | - |
1005
+ | 0.7547 | 41900 | 0.0286 | - |
1006
+ | 0.7556 | 41950 | 0.0307 | - |
1007
+ | 0.7565 | 42000 | 0.0433 | - |
1008
+ | 0.7574 | 42050 | 0.0518 | - |
1009
+ | 0.7583 | 42100 | 0.0372 | - |
1010
+ | 0.7592 | 42150 | 0.0542 | - |
1011
+ | 0.7601 | 42200 | 0.0254 | - |
1012
+ | 0.7610 | 42250 | 0.0604 | - |
1013
+ | 0.7619 | 42300 | 0.029 | - |
1014
+ | 0.7628 | 42350 | 0.0263 | - |
1015
+ | 0.7637 | 42400 | 0.0317 | - |
1016
+ | 0.7646 | 42450 | 0.0903 | - |
1017
+ | 0.7655 | 42500 | 0.0277 | - |
1018
+ | 0.7664 | 42550 | 0.0662 | - |
1019
+ | 0.7673 | 42600 | 0.0205 | - |
1020
+ | 0.7682 | 42650 | 0.0191 | - |
1021
+ | 0.7691 | 42700 | 0.0866 | - |
1022
+ | 0.7700 | 42750 | 0.0482 | - |
1023
+ | 0.7709 | 42800 | 0.0391 | - |
1024
+ | 0.7718 | 42850 | 0.0584 | - |
1025
+ | 0.7727 | 42900 | 0.035 | - |
1026
+ | 0.7736 | 42950 | 0.0393 | - |
1027
+ | 0.7745 | 43000 | 0.0168 | - |
1028
+ | 0.7754 | 43050 | 0.0522 | - |
1029
+ | 0.7763 | 43100 | 0.0178 | - |
1030
+ | 0.7772 | 43150 | 0.0961 | - |
1031
+ | 0.7781 | 43200 | 0.0343 | - |
1032
+ | 0.7790 | 43250 | 0.0251 | - |
1033
+ | 0.7799 | 43300 | 0.019 | - |
1034
+ | 0.7808 | 43350 | 0.0511 | - |
1035
+ | 0.7817 | 43400 | 0.0326 | - |
1036
+ | 0.7826 | 43450 | 0.0327 | - |
1037
+ | 0.7835 | 43500 | 0.0951 | - |
1038
+ | 0.7844 | 43550 | 0.0726 | - |
1039
+ | 0.7853 | 43600 | 0.0562 | - |
1040
+ | 0.7862 | 43650 | 0.0473 | - |
1041
+ | 0.7871 | 43700 | 0.0116 | - |
1042
+ | 0.7880 | 43750 | 0.0501 | - |
1043
+ | 0.7889 | 43800 | 0.0672 | - |
1044
+ | 0.7898 | 43850 | 0.0669 | - |
1045
+ | 0.7907 | 43900 | 0.0623 | - |
1046
+ | 0.7916 | 43950 | 0.0303 | - |
1047
+ | 0.7925 | 44000 | 0.0651 | - |
1048
+ | 0.7934 | 44050 | 0.0419 | - |
1049
+ | 0.7943 | 44100 | 0.0671 | - |
1050
+ | 0.7952 | 44150 | 0.1371 | - |
1051
+ | 0.7961 | 44200 | 0.0345 | - |
1052
+ | 0.7970 | 44250 | 0.0543 | - |
1053
+ | 0.7979 | 44300 | 0.0438 | - |
1054
+ | 0.7988 | 44350 | 0.0365 | - |
1055
+ | 0.7997 | 44400 | 0.0504 | - |
1056
+ | 0.8006 | 44450 | 0.0388 | - |
1057
+ | 0.8015 | 44500 | 0.0135 | - |
1058
+ | 0.8024 | 44550 | 0.0912 | - |
1059
+ | 0.8033 | 44600 | 0.0565 | - |
1060
+ | 0.8042 | 44650 | 0.0357 | - |
1061
+ | 0.8051 | 44700 | 0.0879 | - |
1062
+ | 0.8060 | 44750 | 0.0191 | - |
1063
+ | 0.8069 | 44800 | 0.0293 | - |
1064
+ | 0.8078 | 44850 | 0.0655 | - |
1065
+ | 0.8087 | 44900 | 0.0092 | - |
1066
+ | 0.8096 | 44950 | 0.0548 | - |
1067
+ | 0.8105 | 45000 | 0.0355 | - |
1068
+ | 0.8114 | 45050 | 0.0195 | - |
1069
+ | 0.8123 | 45100 | 0.0484 | - |
1070
+ | 0.8132 | 45150 | 0.0788 | - |
1071
+ | 0.8141 | 45200 | 0.0342 | - |
1072
+ | 0.8150 | 45250 | 0.0424 | - |
1073
+ | 0.8159 | 45300 | 0.0346 | - |
1074
+ | 0.8168 | 45350 | 0.0562 | - |
1075
+ | 0.8177 | 45400 | 0.033 | - |
1076
+ | 0.8186 | 45450 | 0.0591 | - |
1077
+ | 0.8195 | 45500 | 0.0369 | - |
1078
+ | 0.8204 | 45550 | 0.0693 | - |
1079
+ | 0.8213 | 45600 | 0.052 | - |
1080
+ | 0.8222 | 45650 | 0.0387 | - |
1081
+ | 0.8231 | 45700 | 0.0391 | - |
1082
+ | 0.8240 | 45750 | 0.0498 | - |
1083
+ | 0.8249 | 45800 | 0.0262 | - |
1084
+ | 0.8258 | 45850 | 0.0079 | - |
1085
+ | 0.8267 | 45900 | 0.0333 | - |
1086
+ | 0.8276 | 45950 | 0.0521 | - |
1087
+ | 0.8285 | 46000 | 0.0607 | - |
1088
+ | 0.8294 | 46050 | 0.0246 | - |
1089
+ | 0.8303 | 46100 | 0.0308 | - |
1090
+ | 0.8312 | 46150 | 0.0422 | - |
1091
+ | 0.8321 | 46200 | 0.0277 | - |
1092
+ | 0.8330 | 46250 | 0.0268 | - |
1093
+ | 0.8339 | 46300 | 0.0896 | - |
1094
+ | 0.8348 | 46350 | 0.0268 | - |
1095
+ | 0.8357 | 46400 | 0.0271 | - |
1096
+ | 0.8366 | 46450 | 0.0291 | - |
1097
+ | 0.8375 | 46500 | 0.0663 | - |
1098
+ | 0.8384 | 46550 | 0.0388 | - |
1099
+ | 0.8393 | 46600 | 0.0205 | - |
1100
+ | 0.8402 | 46650 | 0.0269 | - |
1101
+ | 0.8411 | 46700 | 0.0197 | - |
1102
+ | 0.8420 | 46750 | 0.0493 | - |
1103
+ | 0.8429 | 46800 | 0.0345 | - |
1104
+ | 0.8438 | 46850 | 0.0901 | - |
1105
+ | 0.8447 | 46900 | 0.0237 | - |
1106
+ | 0.8456 | 46950 | 0.056 | - |
1107
+ | 0.8465 | 47000 | 0.0556 | - |
1108
+ | 0.8474 | 47050 | 0.0489 | - |
1109
+ | 0.8483 | 47100 | 0.0136 | - |
1110
+ | 0.8492 | 47150 | 0.0974 | - |
1111
+ | 0.8501 | 47200 | 0.0354 | - |
1112
+ | 0.8510 | 47250 | 0.0453 | - |
1113
+ | 0.8519 | 47300 | 0.0891 | - |
1114
+ | 0.8528 | 47350 | 0.0185 | - |
1115
+ | 0.8537 | 47400 | 0.0479 | - |
1116
+ | 0.8546 | 47450 | 0.0286 | - |
1117
+ | 0.8555 | 47500 | 0.0528 | - |
1118
+ | 0.8564 | 47550 | 0.0334 | - |
1119
+ | 0.8573 | 47600 | 0.0105 | - |
1120
+ | 0.8582 | 47650 | 0.0613 | - |
1121
+ | 0.8591 | 47700 | 0.0345 | - |
1122
+ | 0.8601 | 47750 | 0.0449 | - |
1123
+ | 0.8610 | 47800 | 0.0179 | - |
1124
+ | 0.8619 | 47850 | 0.0156 | - |
1125
+ | 0.8628 | 47900 | 0.084 | - |
1126
+ | 0.8637 | 47950 | 0.0233 | - |
1127
+ | 0.8646 | 48000 | 0.0281 | - |
1128
+ | 0.8655 | 48050 | 0.0667 | - |
1129
+ | 0.8664 | 48100 | 0.0132 | - |
1130
+ | 0.8673 | 48150 | 0.0301 | - |
1131
+ | 0.8682 | 48200 | 0.081 | - |
1132
+ | 0.8691 | 48250 | 0.017 | - |
1133
+ | 0.8700 | 48300 | 0.0418 | - |
1134
+ | 0.8709 | 48350 | 0.013 | - |
1135
+ | 0.8718 | 48400 | 0.0473 | - |
1136
+ | 0.8727 | 48450 | 0.0731 | - |
1137
+ | 0.8736 | 48500 | 0.0182 | - |
1138
+ | 0.8745 | 48550 | 0.0225 | - |
1139
+ | 0.8754 | 48600 | 0.0722 | - |
1140
+ | 0.8763 | 48650 | 0.0131 | - |
1141
+ | 0.8772 | 48700 | 0.0436 | - |
1142
+ | 0.8781 | 48750 | 0.0292 | - |
1143
+ | 0.8790 | 48800 | 0.0418 | - |
1144
+ | 0.8799 | 48850 | 0.0906 | - |
1145
+ | 0.8808 | 48900 | 0.0498 | - |
1146
+ | 0.8817 | 48950 | 0.013 | - |
1147
+ | 0.8826 | 49000 | 0.0422 | - |
1148
+ | 0.8835 | 49050 | 0.0359 | - |
1149
+ | 0.8844 | 49100 | 0.0317 | - |
1150
+ | 0.8853 | 49150 | 0.0461 | - |
1151
+ | 0.8862 | 49200 | 0.0407 | - |
1152
+ | 0.8871 | 49250 | 0.0392 | - |
1153
+ | 0.8880 | 49300 | 0.0622 | - |
1154
+ | 0.8889 | 49350 | 0.017 | - |
1155
+ | 0.8898 | 49400 | 0.0471 | - |
1156
+ | 0.8907 | 49450 | 0.0465 | - |
1157
+ | 0.8916 | 49500 | 0.0242 | - |
1158
+ | 0.8925 | 49550 | 0.0532 | - |
1159
+ | 0.8934 | 49600 | 0.0481 | - |
1160
+ | 0.8943 | 49650 | 0.0628 | - |
1161
+ | 0.8952 | 49700 | 0.0281 | - |
1162
+ | 0.8961 | 49750 | 0.0136 | - |
1163
+ | 0.8970 | 49800 | 0.0656 | - |
1164
+ | 0.8979 | 49850 | 0.0182 | - |
1165
+ | 0.8988 | 49900 | 0.0519 | - |
1166
+ | 0.8997 | 49950 | 0.0207 | - |
1167
+ | 0.9006 | 50000 | 0.0377 | - |
1168
+ | 0.9015 | 50050 | 0.0552 | - |
1169
+ | 0.9024 | 50100 | 0.0195 | - |
1170
+ | 0.9033 | 50150 | 0.03 | - |
1171
+ | 0.9042 | 50200 | 0.0568 | - |
1172
+ | 0.9051 | 50250 | 0.0388 | - |
1173
+ | 0.9060 | 50300 | 0.0445 | - |
1174
+ | 0.9069 | 50350 | 0.0461 | - |
1175
+ | 0.9078 | 50400 | 0.0299 | - |
1176
+ | 0.9087 | 50450 | 0.0173 | - |
1177
+ | 0.9096 | 50500 | 0.0908 | - |
1178
+ | 0.9105 | 50550 | 0.0524 | - |
1179
+ | 0.9114 | 50600 | 0.0241 | - |
1180
+ | 0.9123 | 50650 | 0.051 | - |
1181
+ | 0.9132 | 50700 | 0.0114 | - |
1182
+ | 0.9141 | 50750 | 0.0379 | - |
1183
+ | 0.9150 | 50800 | 0.0909 | - |
1184
+ | 0.9159 | 50850 | 0.1076 | - |
1185
+ | 0.9168 | 50900 | 0.0346 | - |
1186
+ | 0.9177 | 50950 | 0.0319 | - |
1187
+ | 0.9186 | 51000 | 0.0186 | - |
1188
+ | 0.9195 | 51050 | 0.0397 | - |
1189
+ | 0.9204 | 51100 | 0.046 | - |
1190
+ | 0.9213 | 51150 | 0.0412 | - |
1191
+ | 0.9222 | 51200 | 0.0147 | - |
1192
+ | 0.9231 | 51250 | 0.0262 | - |
1193
+ | 0.9240 | 51300 | 0.0552 | - |
1194
+ | 0.9249 | 51350 | 0.0545 | - |
1195
+ | 0.9258 | 51400 | 0.0402 | - |
1196
+ | 0.9267 | 51450 | 0.0603 | - |
1197
+ | 0.9276 | 51500 | 0.0343 | - |
1198
+ | 0.9285 | 51550 | 0.0267 | - |
1199
+ | 0.9294 | 51600 | 0.0439 | - |
1200
+ | 0.9303 | 51650 | 0.0317 | - |
1201
+ | 0.9312 | 51700 | 0.0108 | - |
1202
+ | 0.9321 | 51750 | 0.0439 | - |
1203
+ | 0.9330 | 51800 | 0.0365 | - |
1204
+ | 0.9339 | 51850 | 0.0305 | - |
1205
+ | 0.9348 | 51900 | 0.0228 | - |
1206
+ | 0.9357 | 51950 | 0.0204 | - |
1207
+ | 0.9366 | 52000 | 0.0433 | - |
1208
+ | 0.9375 | 52050 | 0.018 | - |
1209
+ | 0.9384 | 52100 | 0.1014 | - |
1210
+ | 0.9393 | 52150 | 0.0442 | - |
1211
+ | 0.9402 | 52200 | 0.014 | - |
1212
+ | 0.9411 | 52250 | 0.0527 | - |
1213
+ | 0.9420 | 52300 | 0.0263 | - |
1214
+ | 0.9429 | 52350 | 0.0219 | - |
1215
+ | 0.9438 | 52400 | 0.0251 | - |
1216
+ | 0.9447 | 52450 | 0.0446 | - |
1217
+ | 0.9456 | 52500 | 0.0231 | - |
1218
+ | 0.9465 | 52550 | 0.0406 | - |
1219
+ | 0.9474 | 52600 | 0.0201 | - |
1220
+ | 0.9483 | 52650 | 0.0399 | - |
1221
+ | 0.9492 | 52700 | 0.0633 | - |
1222
+ | 0.9501 | 52750 | 0.0375 | - |
1223
+ | 0.9510 | 52800 | 0.0862 | - |
1224
+ | 0.9519 | 52850 | 0.0443 | - |
1225
+ | 0.9528 | 52900 | 0.0219 | - |
1226
+ | 0.9537 | 52950 | 0.0335 | - |
1227
+ | 0.9546 | 53000 | 0.05 | - |
1228
+ | 0.9555 | 53050 | 0.0529 | - |
1229
+ | 0.9564 | 53100 | 0.0495 | - |
1230
+ | 0.9573 | 53150 | 0.0219 | - |
1231
+ | 0.9582 | 53200 | 0.0519 | - |
1232
+ | 0.9591 | 53250 | 0.0272 | - |
1233
+ | 0.9600 | 53300 | 0.0189 | - |
1234
+ | 0.9609 | 53350 | 0.0257 | - |
1235
+ | 0.9618 | 53400 | 0.0401 | - |
1236
+ | 0.9627 | 53450 | 0.0426 | - |
1237
+ | 0.9636 | 53500 | 0.0168 | - |
1238
+ | 0.9645 | 53550 | 0.0358 | - |
1239
+ | 0.9654 | 53600 | 0.0279 | - |
1240
+ | 0.9663 | 53650 | 0.0133 | - |
1241
+ | 0.9672 | 53700 | 0.0257 | - |
1242
+ | 0.9681 | 53750 | 0.0344 | - |
1243
+ | 0.9690 | 53800 | 0.0718 | - |
1244
+ | 0.9699 | 53850 | 0.045 | - |
1245
+ | 0.9708 | 53900 | 0.0287 | - |
1246
+ | 0.9717 | 53950 | 0.0448 | - |
1247
+ | 0.9726 | 54000 | 0.0458 | - |
1248
+ | 0.9735 | 54050 | 0.033 | - |
1249
+ | 0.9744 | 54100 | 0.0164 | - |
1250
+ | 0.9753 | 54150 | 0.0228 | - |
1251
+ | 0.9762 | 54200 | 0.0616 | - |
1252
+ | 0.9771 | 54250 | 0.0172 | - |
1253
+ | 0.9780 | 54300 | 0.0538 | - |
1254
+ | 0.9789 | 54350 | 0.0318 | - |
1255
+ | 0.9798 | 54400 | 0.0323 | - |
1256
+ | 0.9807 | 54450 | 0.0428 | - |
1257
+ | 0.9816 | 54500 | 0.043 | - |
1258
+ | 0.9825 | 54550 | 0.0144 | - |
1259
+ | 0.9834 | 54600 | 0.0896 | - |
1260
+ | 0.9843 | 54650 | 0.0501 | - |
1261
+ | 0.9852 | 54700 | 0.034 | - |
1262
+ | 0.9861 | 54750 | 0.0546 | - |
1263
+ | 0.9870 | 54800 | 0.0212 | - |
1264
+ | 0.9879 | 54850 | 0.0385 | - |
1265
+ | 0.9888 | 54900 | 0.048 | - |
1266
+ | 0.9897 | 54950 | 0.0317 | - |
1267
+ | 0.9906 | 55000 | 0.0373 | - |
1268
+ | 0.9915 | 55050 | 0.0357 | - |
1269
+ | 0.9924 | 55100 | 0.0406 | - |
1270
+ | 0.9933 | 55150 | 0.0255 | - |
1271
+ | 0.9942 | 55200 | 0.0297 | - |
1272
+ | 0.9951 | 55250 | 0.0155 | - |
1273
+ | 0.9960 | 55300 | 0.0329 | - |
1274
+ | 0.9969 | 55350 | 0.0186 | - |
1275
+ | 0.9978 | 55400 | 0.0257 | - |
1276
+ | 0.9987 | 55450 | 0.033 | - |
1277
+ | 0.9996 | 55500 | 0.0505 | - |
1278
+
1279
+ ### Framework Versions
1280
+ - Python: 3.11.7
1281
+ - SetFit: 1.0.3
1282
+ - Sentence Transformers: 2.3.0
1283
+ - Transformers: 4.37.2
1284
+ - PyTorch: 2.1.2+cu118
1285
+ - Datasets: 2.16.1
1286
+ - Tokenizers: 0.15.1
1287
+
1288
+ ## Citation
1289
+
1290
+ ### BibTeX
1291
+ ```bibtex
1292
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
1293
+ doi = {10.48550/ARXIV.2209.11055},
1294
+ url = {https://arxiv.org/abs/2209.11055},
1295
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
1296
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
1297
+ title = {Efficient Few-Shot Learning Without Prompts},
1298
+ publisher = {arXiv},
1299
+ year = {2022},
1300
+ copyright = {Creative Commons Attribution 4.0 International}
1301
+ }
1302
+ ```
1303
+
1304
+ <!--
1305
+ ## Glossary
1306
+
1307
+ *Clearly define terms in order to be accessible across audiences.*
1308
+ -->
1309
+
1310
+ <!--
1311
+ ## Model Card Authors
1312
+
1313
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
1314
+ -->
1315
+
1316
+ <!--
1317
+ ## Model Card Contact
1318
+
1319
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
1320
+ -->
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": "4.37.2",
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:aa4d0acfcb0680f0dd982e21113998ba45d7ff0d2379444b328d20904e69853d
3
+ size 437967672
model_head.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a28a31117915c2b5713e87f99b4f25908f4848ee57df2d4707db9ef228eaaf51
3
+ size 33348
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 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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