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ignaciosg
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blueCarbon

Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Model card Files Community
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generic classes, 10 samples, optimized learning rate

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  1. README.md +1013 -26
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. model_head.pkl +2 -2
README.md CHANGED
@@ -7,29 +7,125 @@ tags:
7
  - generated_from_setfit_trainer
8
  metrics:
9
  - accuracy
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- widget: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  pipeline_tag: text-classification
12
  inference: false
13
  base_model: sentence-transformers/paraphrase-mpnet-base-v2
14
- model-index:
15
- - name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
16
- results:
17
- - task:
18
- type: text-classification
19
- name: Text Classification
20
- dataset:
21
- name: Unknown
22
- type: unknown
23
- split: test
24
- metrics:
25
- - type: accuracy
26
- value: 0.1502397442727757
27
- name: Accuracy
28
  ---
29
 
30
  # SetFit with sentence-transformers/paraphrase-mpnet-base-v2
31
 
32
- 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.
33
 
34
  The model has been trained using an efficient few-shot learning technique that involves:
35
 
@@ -41,7 +137,7 @@ The model has been trained using an efficient few-shot learning technique that i
41
  ### Model Description
42
  - **Model Type:** SetFit
43
  - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
44
- - **Classification head:** a OneVsRestClassifier instance
45
  - **Maximum Sequence Length:** 512 tokens
46
  <!-- - **Number of Classes:** Unknown -->
47
  <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
@@ -54,13 +150,6 @@ The model has been trained using an efficient few-shot learning technique that i
54
  - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
55
  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
56
 
57
- ## Evaluation
58
-
59
- ### Metrics
60
- | Label | Accuracy |
61
- |:--------|:---------|
62
- | **all** | 0.1502 |
63
-
64
  ## Uses
65
 
66
  ### Direct Use for Inference
@@ -79,7 +168,7 @@ from setfit import SetFitModel
79
  # Download from the 🤗 Hub
80
  model = SetFitModel.from_pretrained("ignaciosg/blueCarbon")
81
  # Run inference
82
- preds = model("I loved the spiderman movie!")
83
  ```
84
 
85
  <!--
@@ -108,11 +197,909 @@ preds = model("I loved the spiderman movie!")
108
 
109
  ## Training Details
110
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
111
  ### Framework Versions
112
  - Python: 3.10.12
113
  - SetFit: 1.0.3
114
  - Sentence Transformers: 2.5.1
115
- - Transformers: 4.38.1
116
  - PyTorch: 2.1.0+cu121
117
  - Datasets: 2.18.0
118
  - Tokenizers: 0.15.2
 
7
  - generated_from_setfit_trainer
8
  metrics:
9
  - accuracy
10
+ widget:
11
+ - text: physiological metabolisms of seaweeds usually suffered climate changes in
12
+ the field. gracilariopsis lemaneiformis and ulva lactuca, collected from nan ao
13
+ island, shantou, china, were cultured under ambient and elevated co2 supply ,
14
+ with low and high temperatures for weeks, aiming to compare the difference of
15
+ the main physiological metabolism between two seaweed species in response to the
16
+ elevated co2 and high temperature. at 15 , the ph reduction in the culture medium
17
+ caused by elevated co2 was larger in . lemaneiformis than in . lactuca. at 25
18
+ , elevated co2 significantly increased photosynthetic rates and maintained constant
19
+ respiratory rates in . lemaneiformis. however, for 25 grown . lactuca, the increment
20
+ of co2 did not enhance the pn rates but rapidly decreased the rd rates itself.
21
+ with the higher rd pg ratios in . lemaneiformis than . lactuca, the warming thereby
22
+ promoted more allocation of photosynthetic products to respiratory consumption
23
+ in . lemaneiformis. both pg and rd rates exhibited lower temperature acclimation
24
+ in two seaweeds. in addition, elevated co2 markedly increased the relative growth
25
+ rate and phycobiliprotein contents at 25 , but exhibited no enhancement of chlorophyll
26
+ , carotenoids , soluble carbohydrate , and soluble protein contents in . lemaneiformis,
27
+ with the reduction of sc when temperature increased only. we suggested that climate
28
+ changes were probably more benefit to . lactuca than to . lemaneiformis, inherently
29
+ justifying the metabolism during . lemaneiformis maricultivation. 2018, springer
30
+ verlag gmbh germany, part of springer nature.
31
+ - text: blue carbon is vital aspect of climate change mitigation, which necessitates
32
+ the identification of stocks and drivers for implementing mitigation strategies.
33
+ however, reclamation may be among the most invasive forms, and the question of
34
+ its influence has not been addressed well in blue carbon research. therefore,
35
+ the effects of reclamation on carbon stocks and the interaction of crucial drivers
36
+ from reclamation time areas were evaluated in the liaohe river delta and compared
37
+ with natural reserves . carbon stocks based on invest model were lower than preexisting
38
+ conditions . one way analysis of variance showed that average carbon stocks accumulated
39
+ 55 years after reclamation and reached the lowest value in 85 years. the interaction
40
+ analysis of dominant drivers affecting carbon showed the difference between reclaimed
41
+ areas and reserves regarding potential effect pathways. in the 1930s and 1960s
42
+ reclamation time areas, crop yield and industrial output determined blue carbon
43
+ by changing no3 and ap. in the 1990s reclamation time area, population density
44
+ played an important role. in defining the impact of vegetation cover on carbon
45
+ within the reserves, the distance to the coast and residence were significant
46
+ factors. this study demonstrated that coastal
47
+ - text: multiple techniques, including thermal infrared aerial remote sensing, geophysical
48
+ and geological data, geochemical characterization and radium isotopes, were used
49
+ to evaluate the role of groundwater as source of dissolved nutrients, carbon,
50
+ and trace gases to the okatee river estuary, south carolina. thermal infrared
51
+ aerial remote sensing surveys illustrated the presence of multiple submarine groundwater
52
+ discharge sites in okatee headwaters. significant relationships were observed
53
+ between groundwater geochemical constituents and ra 226 activity in groundwater
54
+ with higher ra 226 activity correlated to higher concentrations of organics, dissolved
55
+ inorganic carbon, nutrients, and trace gases to the okatee system. system level
56
+ radium mass balance confirmed substantial submarine groundwater discharge contribution
57
+ of these constituents to the okatee river. diffusive benthic flux measurements
58
+ and potential denitrification rate assays tracked the fate of constituents in
59
+ creek bank sediments. diffusive benthic fluxes were substantially lower than calculated
60
+ radium based submarine groundwater discharge inputs, showing that advection of
61
+ groundwater derived nutrients dominated fluxes in the system. while considerable
62
+ potential for denitrification in tidal creek bank sediments was noted, in situ
63
+ denitrification rates were nitrate limited, making intertidal sediments an inefficient
64
+ nitrogen sink in this system. groundwater geochemical data indicated significant
65
+ differences in groundwater chemical composition and radium activity ratios between
66
+ the eastern and western sides of the river; these likely arose from the distinct
67
+ hydrological regimes observed in each area. groundwater from the western side
68
+ of the okatee headwaters was characterized by higher concentrations of dissolved
69
+ organic and inorganic carbon, dissolved organic nitrogen, inorganic nutrients
70
+ and reduced metabolites and trace gases, .. methane and nitrous oxide, than groundwater
71
+ from the eastern side. differences in microbial sulfate reduction, organic matter
72
+ supply, and or groundwater residence time likely contributed to this pattern.
73
+ the contrasting features of the east and west sub marsh zones highlight the need
74
+ for multiple techniques for characterization of submarine groundwater discharge
75
+ sources and the impact of biogeochemical processes on the delivery of nutrients
76
+ and carbon to coastal areas via submarine groundwater discharge. 2014 elsevier
77
+ ltd. all rights reserved.
78
+ - text: blue carbon ecosystem initiatives in the coral triangle region are increasing
79
+ due to their amplified recognition in mitigating global climate change. although
80
+ transdisciplinary approaches in the blue carbon discourse and collaborative actions
81
+ are gaining momentum in the international and national arenas, more work is still
82
+ needed at the local level. the study pursues how bce initiatives permeate through
83
+ the local communities in the philippines and indonesia, as part of ctr. using
84
+ perception surveys, the coastal residents from busuanga, philippines, and karimunjawa,
85
+ indonesia were interviewed on their awareness, utilization, perceived threats,
86
+ and management strategies for bces. potential factors affecting residents perceptions
87
+ were explored using multivariate regression and correlation analyses. also, comparative
88
+ analysis was done to determine distinctions and commonalities in perceptions as
89
+ influenced by site specific scenarios. results show that, despite respondents
90
+ presenting relatively high awareness of bce services, levels of utilization are
91
+ low with 42. 92. and 23. 85. respondents in busuanga and karimunjawa, respectively,
92
+ not directly utilizing bce resources. regression analysis showed that respondents
93
+ occupation significantly influenced their utilization rate and observed opposite
94
+ correlations in busuanga and karimunjawa . perceived threats are found to be driven
95
+ by personal experiences occurrence of natural disasters in busuanga whereas discerned
96
+ anthropogenic activities in karimunjawa. meanwhile, recognized management strategies
97
+ are influenced by the strong presence of relevant agencies like non government
98
+ and people organizations in busuanga and the local government in karimunjawa.
99
+ these results can be translated as useful metrics in contextualizing and or enhancing
100
+ bce management plans specifically in strategizing advocacy campaigns and engagement
101
+ of local stakeholders across the ctr.
102
+ - text: mangrove wetlands are important ecosystems, yet human development coupled
103
+ with climate change threatens mangroves and their large carbon stores. this study
104
+ seeks to understand the soil carbon dynamics in hydrologically altered mangrove
105
+ swamps by studying aboveground biomass estimates and belowground soil carbon concentrations
106
+ in mangrove swamps with high, medium, and low levels of disturbance in catano,
107
+ jobos bay, and vieques, puerto rico. all three sites were affected by hurricane
108
+ maria in 2017, one year prior to the study. as result of being hit by the saffir
109
+ simpson category hurricane, the low disturbance site had almost no living mangroves
110
+ left during sampling. there was no correlation between level of hydrologic alteration
111
+ and carbon storage, rather different patterns emerged for each of the three sites.
112
+ at the highly disturbed location, belowground carbon mass averaged .048 .001 cm
113
+ which increased with increased aboveground biomass. at the moderately disturbed
114
+ location, belowground carbon mass averaged .047 .003 cm and corresponded to distance
115
+ from open water. at the low disturbed location, organic carbon was consistent
116
+ between all sites and inorganic carbon concentrations controlled total carbon
117
+ mass which averaged .048 .002 cm. these results suggest that mangroves are adaptive
118
+ and resilient and have the potential to retain their carbon storage capacities
119
+ despite hydrologic alterations, but mass carbon storage within mangrove forests
120
+ can be spatially variable in hydrologically altered conditions.
121
  pipeline_tag: text-classification
122
  inference: false
123
  base_model: sentence-transformers/paraphrase-mpnet-base-v2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
124
  ---
125
 
126
  # SetFit with sentence-transformers/paraphrase-mpnet-base-v2
127
 
128
+ 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 MultiOutputClassifier instance is used for classification.
129
 
130
  The model has been trained using an efficient few-shot learning technique that involves:
131
 
 
137
  ### Model Description
138
  - **Model Type:** SetFit
139
  - **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
140
+ - **Classification head:** a MultiOutputClassifier instance
141
  - **Maximum Sequence Length:** 512 tokens
142
  <!-- - **Number of Classes:** Unknown -->
143
  <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
 
150
  - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
151
  - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
152
 
 
 
 
 
 
 
 
153
  ## Uses
154
 
155
  ### Direct Use for Inference
 
168
  # Download from the 🤗 Hub
169
  model = SetFitModel.from_pretrained("ignaciosg/blueCarbon")
170
  # Run inference
171
+ preds = model("blue carbon is vital aspect of climate change mitigation, which necessitates the identification of stocks and drivers for implementing mitigation strategies. however, reclamation may be among the most invasive forms, and the question of its influence has not been addressed well in blue carbon research. therefore, the effects of reclamation on carbon stocks and the interaction of crucial drivers from reclamation time areas were evaluated in the liaohe river delta and compared with natural reserves . carbon stocks based on invest model were lower than preexisting conditions . one way analysis of variance showed that average carbon stocks accumulated 55 years after reclamation and reached the lowest value in 85 years. the interaction analysis of dominant drivers affecting carbon showed the difference between reclaimed areas and reserves regarding potential effect pathways. in the 1930s and 1960s reclamation time areas, crop yield and industrial output determined blue carbon by changing no3 and ap. in the 1990s reclamation time area, population density played an important role. in defining the impact of vegetation cover on carbon within the reserves, the distance to the coast and residence were significant factors. this study demonstrated that coastal")
172
  ```
173
 
174
  <!--
 
197
 
198
  ## Training Details
199
 
200
+ ### Training Set Metrics
201
+ | Training set | Min | Median | Max |
202
+ |:-------------|:----|:--------|:----|
203
+ | Word count | 105 | 229.475 | 432 |
204
+
205
+ ### Training Hyperparameters
206
+ - batch_size: (1, 1)
207
+ - num_epochs: (1, 1)
208
+ - max_steps: -1
209
+ - sampling_strategy: oversampling
210
+ - body_learning_rate: (2e-05, 1e-05)
211
+ - head_learning_rate: 0.0006155918397454662
212
+ - loss: CosineSimilarityLoss
213
+ - distance_metric: cosine_distance
214
+ - margin: 0.25
215
+ - end_to_end: False
216
+ - use_amp: False
217
+ - warmup_proportion: 0.1
218
+ - max_length: 1000
219
+ - seed: 42
220
+ - eval_max_steps: -1
221
+ - load_best_model_at_end: False
222
+
223
+ ### Training Results
224
+ | Epoch | Step | Training Loss | Validation Loss |
225
+ |:------:|:-----:|:-------------:|:---------------:|
226
+ | 0.0000 | 1 | 0.1819 | - |
227
+ | 0.0011 | 50 | 0.201 | - |
228
+ | 0.0023 | 100 | 0.3533 | - |
229
+ | 0.0034 | 150 | 0.0788 | - |
230
+ | 0.0046 | 200 | 0.1445 | - |
231
+ | 0.0057 | 250 | 0.1584 | - |
232
+ | 0.0069 | 300 | 0.3425 | - |
233
+ | 0.0080 | 350 | 0.1203 | - |
234
+ | 0.0092 | 400 | 0.2045 | - |
235
+ | 0.0103 | 450 | 0.0287 | - |
236
+ | 0.0115 | 500 | 0.1784 | - |
237
+ | 0.0126 | 550 | 0.2521 | - |
238
+ | 0.0138 | 600 | 0.1285 | - |
239
+ | 0.0149 | 650 | 0.2292 | - |
240
+ | 0.0161 | 700 | 0.0943 | - |
241
+ | 0.0172 | 750 | 0.1753 | - |
242
+ | 0.0184 | 800 | 0.3433 | - |
243
+ | 0.0195 | 850 | 0.262 | - |
244
+ | 0.0207 | 900 | 0.1097 | - |
245
+ | 0.0218 | 950 | 0.0015 | - |
246
+ | 0.0230 | 1000 | 0.5522 | - |
247
+ | 0.0241 | 1050 | 0.5939 | - |
248
+ | 0.0253 | 1100 | 0.1134 | - |
249
+ | 0.0264 | 1150 | 0.1258 | - |
250
+ | 0.0276 | 1200 | 0.0146 | - |
251
+ | 0.0287 | 1250 | 0.0467 | - |
252
+ | 0.0299 | 1300 | 0.3501 | - |
253
+ | 0.0310 | 1350 | 0.291 | - |
254
+ | 0.0322 | 1400 | 0.0569 | - |
255
+ | 0.0333 | 1450 | 0.0812 | - |
256
+ | 0.0345 | 1500 | 0.3397 | - |
257
+ | 0.0356 | 1550 | 0.1664 | - |
258
+ | 0.0368 | 1600 | 0.3841 | - |
259
+ | 0.0379 | 1650 | 0.1659 | - |
260
+ | 0.0391 | 1700 | 0.0809 | - |
261
+ | 0.0402 | 1750 | 0.3604 | - |
262
+ | 0.0414 | 1800 | 0.0056 | - |
263
+ | 0.0425 | 1850 | 0.3335 | - |
264
+ | 0.0437 | 1900 | 0.0005 | - |
265
+ | 0.0448 | 1950 | 0.1624 | - |
266
+ | 0.0460 | 2000 | 0.8162 | - |
267
+ | 0.0471 | 2050 | 0.0097 | - |
268
+ | 0.0483 | 2100 | 0.2561 | - |
269
+ | 0.0494 | 2150 | 0.0003 | - |
270
+ | 0.0506 | 2200 | 0.4198 | - |
271
+ | 0.0517 | 2250 | 0.0002 | - |
272
+ | 0.0529 | 2300 | 0.2793 | - |
273
+ | 0.0540 | 2350 | 0.6288 | - |
274
+ | 0.0552 | 2400 | 0.6944 | - |
275
+ | 0.0563 | 2450 | 0.7394 | - |
276
+ | 0.0575 | 2500 | 0.011 | - |
277
+ | 0.0586 | 2550 | 0.8041 | - |
278
+ | 0.0598 | 2600 | 0.0041 | - |
279
+ | 0.0609 | 2650 | 0.2446 | - |
280
+ | 0.0621 | 2700 | 0.2759 | - |
281
+ | 0.0632 | 2750 | 0.151 | - |
282
+ | 0.0644 | 2800 | 0.0651 | - |
283
+ | 0.0655 | 2850 | 0.0026 | - |
284
+ | 0.0666 | 2900 | 0.0845 | - |
285
+ | 0.0678 | 2950 | 0.7541 | - |
286
+ | 0.0689 | 3000 | 0.0993 | - |
287
+ | 0.0701 | 3050 | 0.7355 | - |
288
+ | 0.0712 | 3100 | 0.6959 | - |
289
+ | 0.0724 | 3150 | 0.1687 | - |
290
+ | 0.0735 | 3200 | 0.2048 | - |
291
+ | 0.0747 | 3250 | 0.0906 | - |
292
+ | 0.0758 | 3300 | 0.0582 | - |
293
+ | 0.0770 | 3350 | 0.9064 | - |
294
+ | 0.0781 | 3400 | 0.8038 | - |
295
+ | 0.0793 | 3450 | 0.2515 | - |
296
+ | 0.0804 | 3500 | 0.0196 | - |
297
+ | 0.0816 | 3550 | 0.0081 | - |
298
+ | 0.0827 | 3600 | 0.8483 | - |
299
+ | 0.0839 | 3650 | 0.0651 | - |
300
+ | 0.0850 | 3700 | 0.8224 | - |
301
+ | 0.0862 | 3750 | 0.2872 | - |
302
+ | 0.0873 | 3800 | 0.0506 | - |
303
+ | 0.0885 | 3850 | 0.6795 | - |
304
+ | 0.0896 | 3900 | 0.0126 | - |
305
+ | 0.0908 | 3950 | 0.5083 | - |
306
+ | 0.0919 | 4000 | 0.0215 | - |
307
+ | 0.0931 | 4050 | 0.8133 | - |
308
+ | 0.0942 | 4100 | 0.1534 | - |
309
+ | 0.0954 | 4150 | 0.2397 | - |
310
+ | 0.0965 | 4200 | 0.8576 | - |
311
+ | 0.0977 | 4250 | 0.0554 | - |
312
+ | 0.0988 | 4300 | 0.1018 | - |
313
+ | 0.1000 | 4350 | 0.3324 | - |
314
+ | 0.1011 | 4400 | 0.0221 | - |
315
+ | 0.1023 | 4450 | 0.0516 | - |
316
+ | 0.1034 | 4500 | 0.796 | - |
317
+ | 0.1046 | 4550 | 0.0903 | - |
318
+ | 0.1057 | 4600 | 0.1979 | - |
319
+ | 0.1069 | 4650 | 0.9194 | - |
320
+ | 0.1080 | 4700 | 0.2556 | - |
321
+ | 0.1092 | 4750 | 0.7224 | - |
322
+ | 0.1103 | 4800 | 0.0012 | - |
323
+ | 0.1115 | 4850 | 0.5042 | - |
324
+ | 0.1126 | 4900 | 0.5732 | - |
325
+ | 0.1138 | 4950 | 0.1041 | - |
326
+ | 0.1149 | 5000 | 0.0247 | - |
327
+ | 0.1161 | 5050 | 0.0265 | - |
328
+ | 0.1172 | 5100 | 0.0126 | - |
329
+ | 0.1184 | 5150 | 0.0098 | - |
330
+ | 0.1195 | 5200 | 0.0386 | - |
331
+ | 0.1207 | 5250 | 0.001 | - |
332
+ | 0.1218 | 5300 | 0.9248 | - |
333
+ | 0.1230 | 5350 | 0.4783 | - |
334
+ | 0.1241 | 5400 | 0.1841 | - |
335
+ | 0.1253 | 5450 | 0.4721 | - |
336
+ | 0.1264 | 5500 | 0.0601 | - |
337
+ | 0.1276 | 5550 | 0.0073 | - |
338
+ | 0.1287 | 5600 | 0.0028 | - |
339
+ | 0.1298 | 5650 | 0.012 | - |
340
+ | 0.1310 | 5700 | 0.0451 | - |
341
+ | 0.1321 | 5750 | 0.0125 | - |
342
+ | 0.1333 | 5800 | 0.5423 | - |
343
+ | 0.1344 | 5850 | 0.7545 | - |
344
+ | 0.1356 | 5900 | 0.0158 | - |
345
+ | 0.1367 | 5950 | 0.1388 | - |
346
+ | 0.1379 | 6000 | 0.0136 | - |
347
+ | 0.1390 | 6050 | 0.0043 | - |
348
+ | 0.1402 | 6100 | 0.4147 | - |
349
+ | 0.1413 | 6150 | 0.0503 | - |
350
+ | 0.1425 | 6200 | 0.0347 | - |
351
+ | 0.1436 | 6250 | 0.0465 | - |
352
+ | 0.1448 | 6300 | 0.0086 | - |
353
+ | 0.1459 | 6350 | 0.8752 | - |
354
+ | 0.1471 | 6400 | 0.5546 | - |
355
+ | 0.1482 | 6450 | 0.0348 | - |
356
+ | 0.1494 | 6500 | 0.0853 | - |
357
+ | 0.1505 | 6550 | 0.6107 | - |
358
+ | 0.1517 | 6600 | 0.005 | - |
359
+ | 0.1528 | 6650 | 0.3526 | - |
360
+ | 0.1540 | 6700 | 0.2429 | - |
361
+ | 0.1551 | 6750 | 0.6727 | - |
362
+ | 0.1563 | 6800 | 0.0019 | - |
363
+ | 0.1574 | 6850 | 0.6662 | - |
364
+ | 0.1586 | 6900 | 0.0068 | - |
365
+ | 0.1597 | 6950 | 0.0117 | - |
366
+ | 0.1609 | 7000 | 0.4718 | - |
367
+ | 0.1620 | 7050 | 0.0072 | - |
368
+ | 0.1632 | 7100 | 0.8174 | - |
369
+ | 0.1643 | 7150 | 0.0094 | - |
370
+ | 0.1655 | 7200 | 0.0241 | - |
371
+ | 0.1666 | 7250 | 0.1359 | - |
372
+ | 0.1678 | 7300 | 0.0528 | - |
373
+ | 0.1689 | 7350 | 0.0184 | - |
374
+ | 0.1701 | 7400 | 0.2204 | - |
375
+ | 0.1712 | 7450 | 0.3476 | - |
376
+ | 0.1724 | 7500 | 0.1153 | - |
377
+ | 0.1735 | 7550 | 0.0717 | - |
378
+ | 0.1747 | 7600 | 0.022 | - |
379
+ | 0.1758 | 7650 | 0.0311 | - |
380
+ | 0.1770 | 7700 | 0.4385 | - |
381
+ | 0.1781 | 7750 | 0.4274 | - |
382
+ | 0.1793 | 7800 | 0.4994 | - |
383
+ | 0.1804 | 7850 | 0.2518 | - |
384
+ | 0.1816 | 7900 | 0.8652 | - |
385
+ | 0.1827 | 7950 | 0.0019 | - |
386
+ | 0.1839 | 8000 | 0.01 | - |
387
+ | 0.1850 | 8050 | 0.0129 | - |
388
+ | 0.1862 | 8100 | 0.0001 | - |
389
+ | 0.1873 | 8150 | 0.0005 | - |
390
+ | 0.1885 | 8200 | 0.0199 | - |
391
+ | 0.1896 | 8250 | 0.1489 | - |
392
+ | 0.1908 | 8300 | 0.0016 | - |
393
+ | 0.1919 | 8350 | 0.5111 | - |
394
+ | 0.1931 | 8400 | 0.807 | - |
395
+ | 0.1942 | 8450 | 0.1489 | - |
396
+ | 0.1953 | 8500 | 0.29 | - |
397
+ | 0.1965 | 8550 | 0.0001 | - |
398
+ | 0.1976 | 8600 | 0.0043 | - |
399
+ | 0.1988 | 8650 | 0.0041 | - |
400
+ | 0.1999 | 8700 | 0.3061 | - |
401
+ | 0.2011 | 8750 | 0.0221 | - |
402
+ | 0.2022 | 8800 | 0.801 | - |
403
+ | 0.2034 | 8850 | 0.2316 | - |
404
+ | 0.2045 | 8900 | 0.2784 | - |
405
+ | 0.2057 | 8950 | 0.0957 | - |
406
+ | 0.2068 | 9000 | 0.611 | - |
407
+ | 0.2080 | 9050 | 0.7529 | - |
408
+ | 0.2091 | 9100 | 0.0565 | - |
409
+ | 0.2103 | 9150 | 0.0114 | - |
410
+ | 0.2114 | 9200 | 0.2864 | - |
411
+ | 0.2126 | 9250 | 0.1954 | - |
412
+ | 0.2137 | 9300 | 0.7993 | - |
413
+ | 0.2149 | 9350 | 0.0501 | - |
414
+ | 0.2160 | 9400 | 0.0051 | - |
415
+ | 0.2172 | 9450 | 0.6012 | - |
416
+ | 0.2183 | 9500 | 0.0131 | - |
417
+ | 0.2195 | 9550 | 0.0157 | - |
418
+ | 0.2206 | 9600 | 0.0606 | - |
419
+ | 0.2218 | 9650 | 0.9143 | - |
420
+ | 0.2229 | 9700 | 0.0001 | - |
421
+ | 0.2241 | 9750 | 0.0021 | - |
422
+ | 0.2252 | 9800 | 0.0004 | - |
423
+ | 0.2264 | 9850 | 0.0498 | - |
424
+ | 0.2275 | 9900 | 0.0021 | - |
425
+ | 0.2287 | 9950 | 0.8591 | - |
426
+ | 0.2298 | 10000 | 0.2218 | - |
427
+ | 0.2310 | 10050 | 0.0065 | - |
428
+ | 0.2321 | 10100 | 0.0924 | - |
429
+ | 0.2333 | 10150 | 0.8866 | - |
430
+ | 0.2344 | 10200 | 0.0004 | - |
431
+ | 0.2356 | 10250 | 0.1434 | - |
432
+ | 0.2367 | 10300 | 0.0118 | - |
433
+ | 0.2379 | 10350 | 0.025 | - |
434
+ | 0.2390 | 10400 | 0.8472 | - |
435
+ | 0.2402 | 10450 | 0.0352 | - |
436
+ | 0.2413 | 10500 | 0.0105 | - |
437
+ | 0.2425 | 10550 | 0.0025 | - |
438
+ | 0.2436 | 10600 | 0.0042 | - |
439
+ | 0.2448 | 10650 | 0.3461 | - |
440
+ | 0.2459 | 10700 | 0.0314 | - |
441
+ | 0.2471 | 10750 | 0.1411 | - |
442
+ | 0.2482 | 10800 | 0.0006 | - |
443
+ | 0.2494 | 10850 | 0.0013 | - |
444
+ | 0.2505 | 10900 | 0.894 | - |
445
+ | 0.2517 | 10950 | 0.9961 | - |
446
+ | 0.2528 | 11000 | 0.9908 | - |
447
+ | 0.2540 | 11050 | 0.836 | - |
448
+ | 0.2551 | 11100 | 0.8847 | - |
449
+ | 0.2563 | 11150 | 0.8493 | - |
450
+ | 0.2574 | 11200 | 0.5851 | - |
451
+ | 0.2585 | 11250 | 0.9502 | - |
452
+ | 0.2597 | 11300 | 0.8396 | - |
453
+ | 0.2608 | 11350 | 0.1942 | - |
454
+ | 0.2620 | 11400 | 0.9298 | - |
455
+ | 0.2631 | 11450 | 0.742 | - |
456
+ | 0.2643 | 11500 | 0.8624 | - |
457
+ | 0.2654 | 11550 | 0.5423 | - |
458
+ | 0.2666 | 11600 | 0.8576 | - |
459
+ | 0.2677 | 11650 | 0.8042 | - |
460
+ | 0.2689 | 11700 | 0.7447 | - |
461
+ | 0.2700 | 11750 | 0.5319 | - |
462
+ | 0.2712 | 11800 | 0.451 | - |
463
+ | 0.2723 | 11850 | 0.4115 | - |
464
+ | 0.2735 | 11900 | 0.6772 | - |
465
+ | 0.2746 | 11950 | 0.4701 | - |
466
+ | 0.2758 | 12000 | 0.6101 | - |
467
+ | 0.2769 | 12050 | 0.4914 | - |
468
+ | 0.2781 | 12100 | 0.653 | - |
469
+ | 0.2792 | 12150 | 0.6205 | - |
470
+ | 0.2804 | 12200 | 0.651 | - |
471
+ | 0.2815 | 12250 | 0.2223 | - |
472
+ | 0.2827 | 12300 | 0.7124 | - |
473
+ | 0.2838 | 12350 | 0.6502 | - |
474
+ | 0.2850 | 12400 | 0.5812 | - |
475
+ | 0.2861 | 12450 | 0.6483 | - |
476
+ | 0.2873 | 12500 | 0.7335 | - |
477
+ | 0.2884 | 12550 | 0.239 | - |
478
+ | 0.2896 | 12600 | 0.6499 | - |
479
+ | 0.2907 | 12650 | 0.4453 | - |
480
+ | 0.2919 | 12700 | 0.7152 | - |
481
+ | 0.2930 | 12750 | 0.5551 | - |
482
+ | 0.2942 | 12800 | 0.6034 | - |
483
+ | 0.2953 | 12850 | 0.5714 | - |
484
+ | 0.2965 | 12900 | 0.5867 | - |
485
+ | 0.2976 | 12950 | 0.4249 | - |
486
+ | 0.2988 | 13000 | 0.7262 | - |
487
+ | 0.2999 | 13050 | 0.542 | - |
488
+ | 0.3011 | 13100 | 0.5301 | - |
489
+ | 0.3022 | 13150 | 0.7503 | - |
490
+ | 0.3034 | 13200 | 0.6918 | - |
491
+ | 0.3045 | 13250 | 0.5352 | - |
492
+ | 0.3057 | 13300 | 0.6065 | - |
493
+ | 0.3068 | 13350 | 0.373 | - |
494
+ | 0.3080 | 13400 | 0.7648 | - |
495
+ | 0.3091 | 13450 | 0.2762 | - |
496
+ | 0.3103 | 13500 | 0.708 | - |
497
+ | 0.3114 | 13550 | 0.1481 | - |
498
+ | 0.3126 | 13600 | 0.7231 | - |
499
+ | 0.3137 | 13650 | 0.6023 | - |
500
+ | 0.3149 | 13700 | 0.7021 | - |
501
+ | 0.3160 | 13750 | 0.5843 | - |
502
+ | 0.3172 | 13800 | 0.7361 | - |
503
+ | 0.3183 | 13850 | 0.7844 | - |
504
+ | 0.3195 | 13900 | 0.51 | - |
505
+ | 0.3206 | 13950 | 0.506 | - |
506
+ | 0.3218 | 14000 | 0.3072 | - |
507
+ | 0.3229 | 14050 | 0.5854 | - |
508
+ | 0.3240 | 14100 | 0.3553 | - |
509
+ | 0.3252 | 14150 | 0.6827 | - |
510
+ | 0.3263 | 14200 | 0.5342 | - |
511
+ | 0.3275 | 14250 | 0.6887 | - |
512
+ | 0.3286 | 14300 | 0.6007 | - |
513
+ | 0.3298 | 14350 | 0.4573 | - |
514
+ | 0.3309 | 14400 | 0.5979 | - |
515
+ | 0.3321 | 14450 | 0.5328 | - |
516
+ | 0.3332 | 14500 | 0.6814 | - |
517
+ | 0.3344 | 14550 | 0.6207 | - |
518
+ | 0.3355 | 14600 | 0.8189 | - |
519
+ | 0.3367 | 14650 | 0.5794 | - |
520
+ | 0.3378 | 14700 | 0.3987 | - |
521
+ | 0.3390 | 14750 | 0.5281 | - |
522
+ | 0.3401 | 14800 | 0.652 | - |
523
+ | 0.3413 | 14850 | 0.6811 | - |
524
+ | 0.3424 | 14900 | 0.3334 | - |
525
+ | 0.3436 | 14950 | 0.565 | - |
526
+ | 0.3447 | 15000 | 0.4956 | - |
527
+ | 0.3459 | 15050 | 0.7289 | - |
528
+ | 0.3470 | 15100 | 0.6103 | - |
529
+ | 0.3482 | 15150 | 0.4173 | - |
530
+ | 0.3493 | 15200 | 0.2138 | - |
531
+ | 0.3505 | 15250 | 0.893 | - |
532
+ | 0.3516 | 15300 | 0.5385 | - |
533
+ | 0.3528 | 15350 | 0.6386 | - |
534
+ | 0.3539 | 15400 | 0.7168 | - |
535
+ | 0.3551 | 15450 | 0.1189 | - |
536
+ | 0.3562 | 15500 | 0.3046 | - |
537
+ | 0.3574 | 15550 | 0.4776 | - |
538
+ | 0.3585 | 15600 | 0.7062 | - |
539
+ | 0.3597 | 15650 | 0.0972 | - |
540
+ | 0.3608 | 15700 | 0.4485 | - |
541
+ | 0.3620 | 15750 | 0.5843 | - |
542
+ | 0.3631 | 15800 | 0.5656 | - |
543
+ | 0.3643 | 15850 | 0.5682 | - |
544
+ | 0.3654 | 15900 | 0.416 | - |
545
+ | 0.3666 | 15950 | 0.2427 | - |
546
+ | 0.3677 | 16000 | 0.4942 | - |
547
+ | 0.3689 | 16050 | 0.4734 | - |
548
+ | 0.3700 | 16100 | 0.7099 | - |
549
+ | 0.3712 | 16150 | 0.5899 | - |
550
+ | 0.3723 | 16200 | 0.3502 | - |
551
+ | 0.3735 | 16250 | 0.3448 | - |
552
+ | 0.3746 | 16300 | 0.6606 | - |
553
+ | 0.3758 | 16350 | 0.5239 | - |
554
+ | 0.3769 | 16400 | 0.6872 | - |
555
+ | 0.3781 | 16450 | 0.2828 | - |
556
+ | 0.3792 | 16500 | 0.6973 | - |
557
+ | 0.3804 | 16550 | 0.6628 | - |
558
+ | 0.3815 | 16600 | 0.6429 | - |
559
+ | 0.3827 | 16650 | 0.4321 | - |
560
+ | 0.3838 | 16700 | 0.6626 | - |
561
+ | 0.3850 | 16750 | 0.5044 | - |
562
+ | 0.3861 | 16800 | 0.7683 | - |
563
+ | 0.3872 | 16850 | 0.6687 | - |
564
+ | 0.3884 | 16900 | 0.5821 | - |
565
+ | 0.3895 | 16950 | 0.6572 | - |
566
+ | 0.3907 | 17000 | 0.9609 | - |
567
+ | 0.3918 | 17050 | 0.0123 | - |
568
+ | 0.3930 | 17100 | 0.5649 | - |
569
+ | 0.3941 | 17150 | 0.1006 | - |
570
+ | 0.3953 | 17200 | 0.003 | - |
571
+ | 0.3964 | 17250 | 0.278 | - |
572
+ | 0.3976 | 17300 | 0.8632 | - |
573
+ | 0.3987 | 17350 | 0.5101 | - |
574
+ | 0.3999 | 17400 | 0.8753 | - |
575
+ | 0.4010 | 17450 | 0.3195 | - |
576
+ | 0.4022 | 17500 | 0.9436 | - |
577
+ | 0.4033 | 17550 | 0.9388 | - |
578
+ | 0.4045 | 17600 | 0.0097 | - |
579
+ | 0.4056 | 17650 | 0.6898 | - |
580
+ | 0.4068 | 17700 | 0.035 | - |
581
+ | 0.4079 | 17750 | 0.4828 | - |
582
+ | 0.4091 | 17800 | 0.1888 | - |
583
+ | 0.4102 | 17850 | 0.0354 | - |
584
+ | 0.4114 | 17900 | 0.0008 | - |
585
+ | 0.4125 | 17950 | 0.2885 | - |
586
+ | 0.4137 | 18000 | 0.0624 | - |
587
+ | 0.4148 | 18050 | 0.5545 | - |
588
+ | 0.4160 | 18100 | 0.5317 | - |
589
+ | 0.4171 | 18150 | 0.0207 | - |
590
+ | 0.4183 | 18200 | 0.0228 | - |
591
+ | 0.4194 | 18250 | 0.0168 | - |
592
+ | 0.4206 | 18300 | 0.0935 | - |
593
+ | 0.4217 | 18350 | 0.8391 | - |
594
+ | 0.4229 | 18400 | 0.0005 | - |
595
+ | 0.4240 | 18450 | 0.7018 | - |
596
+ | 0.4252 | 18500 | 0.0137 | - |
597
+ | 0.4263 | 18550 | 0.0053 | - |
598
+ | 0.4275 | 18600 | 0.0307 | - |
599
+ | 0.4286 | 18650 | 0.0127 | - |
600
+ | 0.4298 | 18700 | 0.2351 | - |
601
+ | 0.4309 | 18750 | 0.0047 | - |
602
+ | 0.4321 | 18800 | 0.0114 | - |
603
+ | 0.4332 | 18850 | 0.0153 | - |
604
+ | 0.4344 | 18900 | 0.3732 | - |
605
+ | 0.4355 | 18950 | 0.77 | - |
606
+ | 0.4367 | 19000 | 0.1298 | - |
607
+ | 0.4378 | 19050 | 0.7064 | - |
608
+ | 0.4390 | 19100 | 0.0 | - |
609
+ | 0.4401 | 19150 | 0.0044 | - |
610
+ | 0.4413 | 19200 | 0.7627 | - |
611
+ | 0.4424 | 19250 | 0.556 | - |
612
+ | 0.4436 | 19300 | 0.2105 | - |
613
+ | 0.4447 | 19350 | 0.8194 | - |
614
+ | 0.4459 | 19400 | 0.027 | - |
615
+ | 0.4470 | 19450 | 0.9308 | - |
616
+ | 0.4482 | 19500 | 0.0194 | - |
617
+ | 0.4493 | 19550 | 0.0144 | - |
618
+ | 0.4505 | 19600 | 0.584 | - |
619
+ | 0.4516 | 19650 | 0.0042 | - |
620
+ | 0.4527 | 19700 | 0.1354 | - |
621
+ | 0.4539 | 19750 | 0.2151 | - |
622
+ | 0.4550 | 19800 | 0.0006 | - |
623
+ | 0.4562 | 19850 | 0.3085 | - |
624
+ | 0.4573 | 19900 | 0.0543 | - |
625
+ | 0.4585 | 19950 | 0.0178 | - |
626
+ | 0.4596 | 20000 | 0.418 | - |
627
+ | 0.4608 | 20050 | 0.019 | - |
628
+ | 0.4619 | 20100 | 0.0001 | - |
629
+ | 0.4631 | 20150 | 0.5443 | - |
630
+ | 0.4642 | 20200 | 0.5111 | - |
631
+ | 0.4654 | 20250 | 0.0594 | - |
632
+ | 0.4665 | 20300 | 0.0086 | - |
633
+ | 0.4677 | 20350 | 0.0064 | - |
634
+ | 0.4688 | 20400 | 0.0577 | - |
635
+ | 0.4700 | 20450 | 0.0712 | - |
636
+ | 0.4711 | 20500 | 0.0271 | - |
637
+ | 0.4723 | 20550 | 0.5118 | - |
638
+ | 0.4734 | 20600 | 0.1834 | - |
639
+ | 0.4746 | 20650 | 0.0116 | - |
640
+ | 0.4757 | 20700 | 0.0052 | - |
641
+ | 0.4769 | 20750 | 0.7975 | - |
642
+ | 0.4780 | 20800 | 0.3037 | - |
643
+ | 0.4792 | 20850 | 0.0264 | - |
644
+ | 0.4803 | 20900 | 0.6911 | - |
645
+ | 0.4815 | 20950 | 0.008 | - |
646
+ | 0.4826 | 21000 | 0.0041 | - |
647
+ | 0.4838 | 21050 | 0.0379 | - |
648
+ | 0.4849 | 21100 | 0.0033 | - |
649
+ | 0.4861 | 21150 | 0.0297 | - |
650
+ | 0.4872 | 21200 | 0.0147 | - |
651
+ | 0.4884 | 21250 | 0.0001 | - |
652
+ | 0.4895 | 21300 | 0.0047 | - |
653
+ | 0.4907 | 21350 | 0.0247 | - |
654
+ | 0.4918 | 21400 | 0.0059 | - |
655
+ | 0.4930 | 21450 | 0.5724 | - |
656
+ | 0.4941 | 21500 | 0.3113 | - |
657
+ | 0.4953 | 21550 | 0.0026 | - |
658
+ | 0.4964 | 21600 | 0.835 | - |
659
+ | 0.4976 | 21650 | 0.0007 | - |
660
+ | 0.4987 | 21700 | 0.029 | - |
661
+ | 0.4999 | 21750 | 0.707 | - |
662
+ | 0.5010 | 21800 | 0.0211 | - |
663
+ | 0.5022 | 21850 | 0.0071 | - |
664
+ | 0.5033 | 21900 | 0.0009 | - |
665
+ | 0.5045 | 21950 | 0.0319 | - |
666
+ | 0.5056 | 22000 | 0.2219 | - |
667
+ | 0.5068 | 22050 | 0.0244 | - |
668
+ | 0.5079 | 22100 | 0.0341 | - |
669
+ | 0.5091 | 22150 | 0.0372 | - |
670
+ | 0.5102 | 22200 | 0.3981 | - |
671
+ | 0.5114 | 22250 | 0.0627 | - |
672
+ | 0.5125 | 22300 | 0.0559 | - |
673
+ | 0.5137 | 22350 | 0.5366 | - |
674
+ | 0.5148 | 22400 | 0.6952 | - |
675
+ | 0.5159 | 22450 | 0.0504 | - |
676
+ | 0.5171 | 22500 | 0.5098 | - |
677
+ | 0.5182 | 22550 | 0.6538 | - |
678
+ | 0.5194 | 22600 | 0.0015 | - |
679
+ | 0.5205 | 22650 | 0.0005 | - |
680
+ | 0.5217 | 22700 | 0.0974 | - |
681
+ | 0.5228 | 22750 | 0.009 | - |
682
+ | 0.5240 | 22800 | 0.6559 | - |
683
+ | 0.5251 | 22850 | 0.026 | - |
684
+ | 0.5263 | 22900 | 0.0049 | - |
685
+ | 0.5274 | 22950 | 0.0104 | - |
686
+ | 0.5286 | 23000 | 0.7918 | - |
687
+ | 0.5297 | 23050 | 0.0007 | - |
688
+ | 0.5309 | 23100 | 0.0015 | - |
689
+ | 0.5320 | 23150 | 0.2873 | - |
690
+ | 0.5332 | 23200 | 0.002 | - |
691
+ | 0.5343 | 23250 | 0.0067 | - |
692
+ | 0.5355 | 23300 | 0.2943 | - |
693
+ | 0.5366 | 23350 | 0.0029 | - |
694
+ | 0.5378 | 23400 | 0.0 | - |
695
+ | 0.5389 | 23450 | 0.0727 | - |
696
+ | 0.5401 | 23500 | 0.0084 | - |
697
+ | 0.5412 | 23550 | 0.0 | - |
698
+ | 0.5424 | 23600 | 0.0054 | - |
699
+ | 0.5435 | 23650 | 0.0004 | - |
700
+ | 0.5447 | 23700 | 0.5525 | - |
701
+ | 0.5458 | 23750 | 0.0251 | - |
702
+ | 0.5470 | 23800 | 0.0269 | - |
703
+ | 0.5481 | 23850 | 0.7426 | - |
704
+ | 0.5493 | 23900 | 0.0016 | - |
705
+ | 0.5504 | 23950 | 0.8143 | - |
706
+ | 0.5516 | 24000 | 0.5158 | - |
707
+ | 0.5527 | 24050 | 0.0047 | - |
708
+ | 0.5539 | 24100 | 0.0067 | - |
709
+ | 0.5550 | 24150 | 0.0 | - |
710
+ | 0.5562 | 24200 | 0.0045 | - |
711
+ | 0.5573 | 24250 | 0.0021 | - |
712
+ | 0.5585 | 24300 | 0.0012 | - |
713
+ | 0.5596 | 24350 | 0.3501 | - |
714
+ | 0.5608 | 24400 | 0.0101 | - |
715
+ | 0.5619 | 24450 | 0.0008 | - |
716
+ | 0.5631 | 24500 | 0.0112 | - |
717
+ | 0.5642 | 24550 | 0.0148 | - |
718
+ | 0.5654 | 24600 | 0.2246 | - |
719
+ | 0.5665 | 24650 | 0.1538 | - |
720
+ | 0.5677 | 24700 | 0.0001 | - |
721
+ | 0.5688 | 24750 | 0.0001 | - |
722
+ | 0.5700 | 24800 | 0.1296 | - |
723
+ | 0.5711 | 24850 | 0.0101 | - |
724
+ | 0.5723 | 24900 | 0.0032 | - |
725
+ | 0.5734 | 24950 | 0.0714 | - |
726
+ | 0.5746 | 25000 | 0.0 | - |
727
+ | 0.5757 | 25050 | 0.0886 | - |
728
+ | 0.5769 | 25100 | 0.0003 | - |
729
+ | 0.5780 | 25150 | 0.0041 | - |
730
+ | 0.5792 | 25200 | 0.0151 | - |
731
+ | 0.5803 | 25250 | 0.0099 | - |
732
+ | 0.5814 | 25300 | 0.0008 | - |
733
+ | 0.5826 | 25350 | 0.028 | - |
734
+ | 0.5837 | 25400 | 0.1064 | - |
735
+ | 0.5849 | 25450 | 0.0373 | - |
736
+ | 0.5860 | 25500 | 0.5589 | - |
737
+ | 0.5872 | 25550 | 0.2522 | - |
738
+ | 0.5883 | 25600 | 0.8553 | - |
739
+ | 0.5895 | 25650 | 0.0004 | - |
740
+ | 0.5906 | 25700 | 0.6575 | - |
741
+ | 0.5918 | 25750 | 0.0034 | - |
742
+ | 0.5929 | 25800 | 0.7313 | - |
743
+ | 0.5941 | 25850 | 0.8363 | - |
744
+ | 0.5952 | 25900 | 0.0156 | - |
745
+ | 0.5964 | 25950 | 0.0044 | - |
746
+ | 0.5975 | 26000 | 0.1387 | - |
747
+ | 0.5987 | 26050 | 0.0487 | - |
748
+ | 0.5998 | 26100 | 0.001 | - |
749
+ | 0.6010 | 26150 | 0.0004 | - |
750
+ | 0.6021 | 26200 | 0.0071 | - |
751
+ | 0.6033 | 26250 | 0.0012 | - |
752
+ | 0.6044 | 26300 | 0.021 | - |
753
+ | 0.6056 | 26350 | 0.0212 | - |
754
+ | 0.6067 | 26400 | 0.8472 | - |
755
+ | 0.6079 | 26450 | 0.5686 | - |
756
+ | 0.6090 | 26500 | 0.0721 | - |
757
+ | 0.6102 | 26550 | 0.0235 | - |
758
+ | 0.6113 | 26600 | 0.0 | - |
759
+ | 0.6125 | 26650 | 0.0098 | - |
760
+ | 0.6136 | 26700 | 0.3805 | - |
761
+ | 0.6148 | 26750 | 0.0525 | - |
762
+ | 0.6159 | 26800 | 0.0139 | - |
763
+ | 0.6171 | 26850 | 0.0011 | - |
764
+ | 0.6182 | 26900 | 0.0013 | - |
765
+ | 0.6194 | 26950 | 0.0058 | - |
766
+ | 0.6205 | 27000 | 0.0581 | - |
767
+ | 0.6217 | 27050 | 0.477 | - |
768
+ | 0.6228 | 27100 | 0.0073 | - |
769
+ | 0.6240 | 27150 | 0.0033 | - |
770
+ | 0.6251 | 27200 | 0.0082 | - |
771
+ | 0.6263 | 27250 | 0.0028 | - |
772
+ | 0.6274 | 27300 | 0.0001 | - |
773
+ | 0.6286 | 27350 | 0.0265 | - |
774
+ | 0.6297 | 27400 | 0.097 | - |
775
+ | 0.6309 | 27450 | 0.2339 | - |
776
+ | 0.6320 | 27500 | 0.5429 | - |
777
+ | 0.6332 | 27550 | 0.3859 | - |
778
+ | 0.6343 | 27600 | 0.0116 | - |
779
+ | 0.6355 | 27650 | 0.0006 | - |
780
+ | 0.6366 | 27700 | 0.0018 | - |
781
+ | 0.6378 | 27750 | 0.0197 | - |
782
+ | 0.6389 | 27800 | 0.0085 | - |
783
+ | 0.6401 | 27850 | 0.0 | - |
784
+ | 0.6412 | 27900 | 0.0141 | - |
785
+ | 0.6424 | 27950 | 0.1121 | - |
786
+ | 0.6435 | 28000 | 0.0123 | - |
787
+ | 0.6446 | 28050 | 0.3018 | - |
788
+ | 0.6458 | 28100 | 0.7669 | - |
789
+ | 0.6469 | 28150 | 0.6745 | - |
790
+ | 0.6481 | 28200 | 0.4283 | - |
791
+ | 0.6492 | 28250 | 0.0237 | - |
792
+ | 0.6504 | 28300 | 0.8327 | - |
793
+ | 0.6515 | 28350 | 0.1052 | - |
794
+ | 0.6527 | 28400 | 0.4264 | - |
795
+ | 0.6538 | 28450 | 0.6714 | - |
796
+ | 0.6550 | 28500 | 0.0039 | - |
797
+ | 0.6561 | 28550 | 0.0065 | - |
798
+ | 0.6573 | 28600 | 0.0178 | - |
799
+ | 0.6584 | 28650 | 0.3817 | - |
800
+ | 0.6596 | 28700 | 0.0584 | - |
801
+ | 0.6607 | 28750 | 0.0217 | - |
802
+ | 0.6619 | 28800 | 0.0019 | - |
803
+ | 0.6630 | 28850 | 0.4605 | - |
804
+ | 0.6642 | 28900 | 0.0049 | - |
805
+ | 0.6653 | 28950 | 0.0011 | - |
806
+ | 0.6665 | 29000 | 0.569 | - |
807
+ | 0.6676 | 29050 | 0.0 | - |
808
+ | 0.6688 | 29100 | 0.0874 | - |
809
+ | 0.6699 | 29150 | 0.5388 | - |
810
+ | 0.6711 | 29200 | 0.4093 | - |
811
+ | 0.6722 | 29250 | 0.3076 | - |
812
+ | 0.6734 | 29300 | 0.4542 | - |
813
+ | 0.6745 | 29350 | 0.2569 | - |
814
+ | 0.6757 | 29400 | 0.0155 | - |
815
+ | 0.6768 | 29450 | 0.1146 | - |
816
+ | 0.6780 | 29500 | 0.1341 | - |
817
+ | 0.6791 | 29550 | 0.0304 | - |
818
+ | 0.6803 | 29600 | 0.0095 | - |
819
+ | 0.6814 | 29650 | 0.443 | - |
820
+ | 0.6826 | 29700 | 0.5068 | - |
821
+ | 0.6837 | 29750 | 0.024 | - |
822
+ | 0.6849 | 29800 | 0.0079 | - |
823
+ | 0.6860 | 29850 | 0.1769 | - |
824
+ | 0.6872 | 29900 | 0.0001 | - |
825
+ | 0.6883 | 29950 | 0.0104 | - |
826
+ | 0.6895 | 30000 | 0.4234 | - |
827
+ | 0.6906 | 30050 | 0.0042 | - |
828
+ | 0.6918 | 30100 | 0.3934 | - |
829
+ | 0.6929 | 30150 | 0.0119 | - |
830
+ | 0.6941 | 30200 | 0.0012 | - |
831
+ | 0.6952 | 30250 | 0.4434 | - |
832
+ | 0.6964 | 30300 | 0.6101 | - |
833
+ | 0.6975 | 30350 | 0.3655 | - |
834
+ | 0.6987 | 30400 | 0.168 | - |
835
+ | 0.6998 | 30450 | 0.8202 | - |
836
+ | 0.7010 | 30500 | 0.0906 | - |
837
+ | 0.7021 | 30550 | 0.0287 | - |
838
+ | 0.7033 | 30600 | 0.3671 | - |
839
+ | 0.7044 | 30650 | 0.7084 | - |
840
+ | 0.7056 | 30700 | 0.3632 | - |
841
+ | 0.7067 | 30750 | 0.0027 | - |
842
+ | 0.7079 | 30800 | 0.0451 | - |
843
+ | 0.7090 | 30850 | 0.3421 | - |
844
+ | 0.7101 | 30900 | 0.0077 | - |
845
+ | 0.7113 | 30950 | 0.0404 | - |
846
+ | 0.7124 | 31000 | 0.7512 | - |
847
+ | 0.7136 | 31050 | 0.2898 | - |
848
+ | 0.7147 | 31100 | 0.0721 | - |
849
+ | 0.7159 | 31150 | 0.009 | - |
850
+ | 0.7170 | 31200 | 0.0474 | - |
851
+ | 0.7182 | 31250 | 0.0041 | - |
852
+ | 0.7193 | 31300 | 0.0249 | - |
853
+ | 0.7205 | 31350 | 0.3519 | - |
854
+ | 0.7216 | 31400 | 0.0936 | - |
855
+ | 0.7228 | 31450 | 0.0049 | - |
856
+ | 0.7239 | 31500 | 0.0035 | - |
857
+ | 0.7251 | 31550 | 0.0296 | - |
858
+ | 0.7262 | 31600 | 0.0264 | - |
859
+ | 0.7274 | 31650 | 0.5318 | - |
860
+ | 0.7285 | 31700 | 0.0029 | - |
861
+ | 0.7297 | 31750 | 0.7741 | - |
862
+ | 0.7308 | 31800 | 0.0807 | - |
863
+ | 0.7320 | 31850 | 0.0154 | - |
864
+ | 0.7331 | 31900 | 0.0181 | - |
865
+ | 0.7343 | 31950 | 0.7881 | - |
866
+ | 0.7354 | 32000 | 0.2723 | - |
867
+ | 0.7366 | 32050 | 0.0549 | - |
868
+ | 0.7377 | 32100 | 0.0198 | - |
869
+ | 0.7389 | 32150 | 0.0083 | - |
870
+ | 0.7400 | 32200 | 0.4985 | - |
871
+ | 0.7412 | 32250 | 0.0111 | - |
872
+ | 0.7423 | 32300 | 0.0057 | - |
873
+ | 0.7435 | 32350 | 0.0393 | - |
874
+ | 0.7446 | 32400 | 0.0786 | - |
875
+ | 0.7458 | 32450 | 0.1888 | - |
876
+ | 0.7469 | 32500 | 0.0382 | - |
877
+ | 0.7481 | 32550 | 0.5611 | - |
878
+ | 0.7492 | 32600 | 0.0749 | - |
879
+ | 0.7504 | 32650 | 0.0064 | - |
880
+ | 0.7515 | 32700 | 0.0002 | - |
881
+ | 0.7527 | 32750 | 0.0159 | - |
882
+ | 0.7538 | 32800 | 0.025 | - |
883
+ | 0.7550 | 32850 | 0.0271 | - |
884
+ | 0.7561 | 32900 | 0.251 | - |
885
+ | 0.7573 | 32950 | 0.0002 | - |
886
+ | 0.7584 | 33000 | 0.1407 | - |
887
+ | 0.7596 | 33050 | 0.1596 | - |
888
+ | 0.7607 | 33100 | 0.0069 | - |
889
+ | 0.7619 | 33150 | 0.0655 | - |
890
+ | 0.7630 | 33200 | 0.0435 | - |
891
+ | 0.7642 | 33250 | 0.0032 | - |
892
+ | 0.7653 | 33300 | 0.1908 | - |
893
+ | 0.7665 | 33350 | 0.4326 | - |
894
+ | 0.7676 | 33400 | 0.1699 | - |
895
+ | 0.7688 | 33450 | 0.005 | - |
896
+ | 0.7699 | 33500 | 0.4937 | - |
897
+ | 0.7711 | 33550 | 0.0635 | - |
898
+ | 0.7722 | 33600 | 0.0042 | - |
899
+ | 0.7733 | 33650 | 0.0001 | - |
900
+ | 0.7745 | 33700 | 0.0088 | - |
901
+ | 0.7756 | 33750 | 0.0313 | - |
902
+ | 0.7768 | 33800 | 0.0072 | - |
903
+ | 0.7779 | 33850 | 0.0291 | - |
904
+ | 0.7791 | 33900 | 0.0037 | - |
905
+ | 0.7802 | 33950 | 0.0192 | - |
906
+ | 0.7814 | 34000 | 0.0017 | - |
907
+ | 0.7825 | 34050 | 0.0006 | - |
908
+ | 0.7837 | 34100 | 0.0119 | - |
909
+ | 0.7848 | 34150 | 0.1647 | - |
910
+ | 0.7860 | 34200 | 0.009 | - |
911
+ | 0.7871 | 34250 | 0.0004 | - |
912
+ | 0.7883 | 34300 | 0.5268 | - |
913
+ | 0.7894 | 34350 | 0.0523 | - |
914
+ | 0.7906 | 34400 | 0.0537 | - |
915
+ | 0.7917 | 34450 | 0.1654 | - |
916
+ | 0.7929 | 34500 | 0.0003 | - |
917
+ | 0.7940 | 34550 | 0.0021 | - |
918
+ | 0.7952 | 34600 | 0.0016 | - |
919
+ | 0.7963 | 34650 | 0.0002 | - |
920
+ | 0.7975 | 34700 | 0.0001 | - |
921
+ | 0.7986 | 34750 | 0.0001 | - |
922
+ | 0.7998 | 34800 | 0.0204 | - |
923
+ | 0.8009 | 34850 | 0.0047 | - |
924
+ | 0.8021 | 34900 | 0.2942 | - |
925
+ | 0.8032 | 34950 | 0.0039 | - |
926
+ | 0.8044 | 35000 | 0.0237 | - |
927
+ | 0.8055 | 35050 | 0.0002 | - |
928
+ | 0.8067 | 35100 | 0.0009 | - |
929
+ | 0.8078 | 35150 | 0.7804 | - |
930
+ | 0.8090 | 35200 | 0.0012 | - |
931
+ | 0.8101 | 35250 | 0.0303 | - |
932
+ | 0.8113 | 35300 | 0.0265 | - |
933
+ | 0.8124 | 35350 | 0.0071 | - |
934
+ | 0.8136 | 35400 | 0.0053 | - |
935
+ | 0.8147 | 35450 | 0.068 | - |
936
+ | 0.8159 | 35500 | 0.0233 | - |
937
+ | 0.8170 | 35550 | 0.4748 | - |
938
+ | 0.8182 | 35600 | 0.0253 | - |
939
+ | 0.8193 | 35650 | 0.0 | - |
940
+ | 0.8205 | 35700 | 0.2029 | - |
941
+ | 0.8216 | 35750 | 0.0063 | - |
942
+ | 0.8228 | 35800 | 0.0179 | - |
943
+ | 0.8239 | 35850 | 0.0039 | - |
944
+ | 0.8251 | 35900 | 0.0123 | - |
945
+ | 0.8262 | 35950 | 0.3021 | - |
946
+ | 0.8274 | 36000 | 0.0096 | - |
947
+ | 0.8285 | 36050 | 0.3735 | - |
948
+ | 0.8297 | 36100 | 0.0281 | - |
949
+ | 0.8308 | 36150 | 0.0612 | - |
950
+ | 0.8320 | 36200 | 0.028 | - |
951
+ | 0.8331 | 36250 | 0.6296 | - |
952
+ | 0.8343 | 36300 | 0.1161 | - |
953
+ | 0.8354 | 36350 | 0.0249 | - |
954
+ | 0.8366 | 36400 | 0.0 | - |
955
+ | 0.8377 | 36450 | 0.4144 | - |
956
+ | 0.8388 | 36500 | 0.1574 | - |
957
+ | 0.8400 | 36550 | 0.0083 | - |
958
+ | 0.8411 | 36600 | 0.0385 | - |
959
+ | 0.8423 | 36650 | 0.4681 | - |
960
+ | 0.8434 | 36700 | 0.0628 | - |
961
+ | 0.8446 | 36750 | 0.0005 | - |
962
+ | 0.8457 | 36800 | 0.2092 | - |
963
+ | 0.8469 | 36850 | 0.009 | - |
964
+ | 0.8480 | 36900 | 0.031 | - |
965
+ | 0.8492 | 36950 | 0.3659 | - |
966
+ | 0.8503 | 37000 | 0.0003 | - |
967
+ | 0.8515 | 37050 | 0.0117 | - |
968
+ | 0.8526 | 37100 | 0.0061 | - |
969
+ | 0.8538 | 37150 | 0.0163 | - |
970
+ | 0.8549 | 37200 | 0.0 | - |
971
+ | 0.8561 | 37250 | 0.0668 | - |
972
+ | 0.8572 | 37300 | 0.0108 | - |
973
+ | 0.8584 | 37350 | 0.1344 | - |
974
+ | 0.8595 | 37400 | 0.0196 | - |
975
+ | 0.8607 | 37450 | 0.0006 | - |
976
+ | 0.8618 | 37500 | 0.0005 | - |
977
+ | 0.8630 | 37550 | 0.45 | - |
978
+ | 0.8641 | 37600 | 0.0002 | - |
979
+ | 0.8653 | 37650 | 0.0032 | - |
980
+ | 0.8664 | 37700 | 0.0035 | - |
981
+ | 0.8676 | 37750 | 0.1411 | - |
982
+ | 0.8687 | 37800 | 0.007 | - |
983
+ | 0.8699 | 37850 | 0.0015 | - |
984
+ | 0.8710 | 37900 | 0.6745 | - |
985
+ | 0.8722 | 37950 | 0.0002 | - |
986
+ | 0.8733 | 38000 | 0.2138 | - |
987
+ | 0.8745 | 38050 | 0.0092 | - |
988
+ | 0.8756 | 38100 | 0.4335 | - |
989
+ | 0.8768 | 38150 | 0.0011 | - |
990
+ | 0.8779 | 38200 | 0.0265 | - |
991
+ | 0.8791 | 38250 | 0.6394 | - |
992
+ | 0.8802 | 38300 | 0.3108 | - |
993
+ | 0.8814 | 38350 | 0.1918 | - |
994
+ | 0.8825 | 38400 | 0.0006 | - |
995
+ | 0.8837 | 38450 | 0.0075 | - |
996
+ | 0.8848 | 38500 | 0.5738 | - |
997
+ | 0.8860 | 38550 | 0.008 | - |
998
+ | 0.8871 | 38600 | 0.0043 | - |
999
+ | 0.8883 | 38650 | 0.7087 | - |
1000
+ | 0.8894 | 38700 | 0.0044 | - |
1001
+ | 0.8906 | 38750 | 0.0045 | - |
1002
+ | 0.8917 | 38800 | 0.0009 | - |
1003
+ | 0.8929 | 38850 | 0.0118 | - |
1004
+ | 0.8940 | 38900 | 0.2812 | - |
1005
+ | 0.8952 | 38950 | 0.0581 | - |
1006
+ | 0.8963 | 39000 | 0.0016 | - |
1007
+ | 0.8975 | 39050 | 0.0284 | - |
1008
+ | 0.8986 | 39100 | 0.0061 | - |
1009
+ | 0.8998 | 39150 | 0.13 | - |
1010
+ | 0.9009 | 39200 | 0.0061 | - |
1011
+ | 0.9021 | 39250 | 0.0508 | - |
1012
+ | 0.9032 | 39300 | 0.214 | - |
1013
+ | 0.9043 | 39350 | 0.0032 | - |
1014
+ | 0.9055 | 39400 | 0.0234 | - |
1015
+ | 0.9066 | 39450 | 0.0318 | - |
1016
+ | 0.9078 | 39500 | 0.003 | - |
1017
+ | 0.9089 | 39550 | 0.3719 | - |
1018
+ | 0.9101 | 39600 | 0.0092 | - |
1019
+ | 0.9112 | 39650 | 0.0027 | - |
1020
+ | 0.9124 | 39700 | 0.3007 | - |
1021
+ | 0.9135 | 39750 | 0.0535 | - |
1022
+ | 0.9147 | 39800 | 0.0027 | - |
1023
+ | 0.9158 | 39850 | 0.8316 | - |
1024
+ | 0.9170 | 39900 | 0.3543 | - |
1025
+ | 0.9181 | 39950 | 0.7228 | - |
1026
+ | 0.9193 | 40000 | 0.4475 | - |
1027
+ | 0.9204 | 40050 | 0.0044 | - |
1028
+ | 0.9216 | 40100 | 0.0077 | - |
1029
+ | 0.9227 | 40150 | 0.0668 | - |
1030
+ | 0.9239 | 40200 | 0.0036 | - |
1031
+ | 0.9250 | 40250 | 0.0032 | - |
1032
+ | 0.9262 | 40300 | 0.035 | - |
1033
+ | 0.9273 | 40350 | 0.011 | - |
1034
+ | 0.9285 | 40400 | 0.0 | - |
1035
+ | 0.9296 | 40450 | 0.5078 | - |
1036
+ | 0.9308 | 40500 | 0.0003 | - |
1037
+ | 0.9319 | 40550 | 0.0 | - |
1038
+ | 0.9331 | 40600 | 0.0 | - |
1039
+ | 0.9342 | 40650 | 0.0029 | - |
1040
+ | 0.9354 | 40700 | 0.0001 | - |
1041
+ | 0.9365 | 40750 | 0.0003 | - |
1042
+ | 0.9377 | 40800 | 0.2938 | - |
1043
+ | 0.9388 | 40850 | 0.0059 | - |
1044
+ | 0.9400 | 40900 | 0.0646 | - |
1045
+ | 0.9411 | 40950 | 0.0067 | - |
1046
+ | 0.9423 | 41000 | 0.001 | - |
1047
+ | 0.9434 | 41050 | 0.7928 | - |
1048
+ | 0.9446 | 41100 | 0.0013 | - |
1049
+ | 0.9457 | 41150 | 0.0271 | - |
1050
+ | 0.9469 | 41200 | 0.0322 | - |
1051
+ | 0.9480 | 41250 | 0.0127 | - |
1052
+ | 0.9492 | 41300 | 0.0 | - |
1053
+ | 0.9503 | 41350 | 0.4948 | - |
1054
+ | 0.9515 | 41400 | 0.0185 | - |
1055
+ | 0.9526 | 41450 | 0.4775 | - |
1056
+ | 0.9538 | 41500 | 0.0046 | - |
1057
+ | 0.9549 | 41550 | 0.0002 | - |
1058
+ | 0.9561 | 41600 | 0.352 | - |
1059
+ | 0.9572 | 41650 | 0.5607 | - |
1060
+ | 0.9584 | 41700 | 0.0003 | - |
1061
+ | 0.9595 | 41750 | 0.1911 | - |
1062
+ | 0.9607 | 41800 | 0.0117 | - |
1063
+ | 0.9618 | 41850 | 0.0008 | - |
1064
+ | 0.9630 | 41900 | 0.0029 | - |
1065
+ | 0.9641 | 41950 | 0.0034 | - |
1066
+ | 0.9653 | 42000 | 0.0128 | - |
1067
+ | 0.9664 | 42050 | 0.3599 | - |
1068
+ | 0.9675 | 42100 | 0.5342 | - |
1069
+ | 0.9687 | 42150 | 0.0333 | - |
1070
+ | 0.9698 | 42200 | 0.0358 | - |
1071
+ | 0.9710 | 42250 | 0.0039 | - |
1072
+ | 0.9721 | 42300 | 0.0001 | - |
1073
+ | 0.9733 | 42350 | 0.0066 | - |
1074
+ | 0.9744 | 42400 | 0.0006 | - |
1075
+ | 0.9756 | 42450 | 0.0005 | - |
1076
+ | 0.9767 | 42500 | 0.5468 | - |
1077
+ | 0.9779 | 42550 | 0.0121 | - |
1078
+ | 0.9790 | 42600 | 0.0833 | - |
1079
+ | 0.9802 | 42650 | 0.0152 | - |
1080
+ | 0.9813 | 42700 | 0.001 | - |
1081
+ | 0.9825 | 42750 | 0.0074 | - |
1082
+ | 0.9836 | 42800 | 0.8221 | - |
1083
+ | 0.9848 | 42850 | 0.0039 | - |
1084
+ | 0.9859 | 42900 | 0.1647 | - |
1085
+ | 0.9871 | 42950 | 0.0014 | - |
1086
+ | 0.9882 | 43000 | 0.0006 | - |
1087
+ | 0.9894 | 43050 | 0.0008 | - |
1088
+ | 0.9905 | 43100 | 0.0 | - |
1089
+ | 0.9917 | 43150 | 0.1409 | - |
1090
+ | 0.9928 | 43200 | 0.0004 | - |
1091
+ | 0.9940 | 43250 | 0.0006 | - |
1092
+ | 0.9951 | 43300 | 0.0634 | - |
1093
+ | 0.9963 | 43350 | 0.1843 | - |
1094
+ | 0.9974 | 43400 | 0.0133 | - |
1095
+ | 0.9986 | 43450 | 0.2553 | - |
1096
+ | 0.9997 | 43500 | 0.0005 | - |
1097
+
1098
  ### Framework Versions
1099
  - Python: 3.10.12
1100
  - SetFit: 1.0.3
1101
  - Sentence Transformers: 2.5.1
1102
+ - Transformers: 4.38.2
1103
  - PyTorch: 2.1.0+cu121
1104
  - Datasets: 2.18.0
1105
  - Tokenizers: 0.15.2
config.json CHANGED
@@ -19,6 +19,6 @@
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23
  "vocab_size": 30527
24
  }
 
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  "relative_attention_num_buckets": 32,
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  "torch_dtype": "float32",
22
+ "transformers_version": "4.38.2",
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