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Text Classification
setfit
Safetensors
sentence-transformers
roberta
generated_from_setfit_trainer
Eval Results
Model card Files Community
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  1. 1_Pooling/config.json +10 -0
  2. README.md +1709 -0
  3. config.json +29 -0
  4. config_sentence_transformers.json +10 -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
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_mean_sqrt_len_tokens": false,
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+ "pooling_mode_weightedmean_tokens": false,
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+ "pooling_mode_lasttoken": false,
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+ "include_prompt": true
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+ }
README.md ADDED
@@ -0,0 +1,1709 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: klue/roberta-base
3
+ library_name: setfit
4
+ metrics:
5
+ - metric
6
+ pipeline_tag: text-classification
7
+ tags:
8
+ - setfit
9
+ - sentence-transformers
10
+ - text-classification
11
+ - generated_from_setfit_trainer
12
+ widget:
13
+ - text: 가전 > 주방가전 > 믹서기 / 블렌더 > 분쇄기
14
+ - text: 스포츠 / 레저 / 자동차 > 공구 > 전동공구 > 전동드릴
15
+ - text: 뷰티 > 스킨케어 > 클렌징 / 필링 > 클렌징
16
+ - text: 컴퓨터부품 > 키보드,마우스&프리젠터 > 무선키보드
17
+ - text: 도기사료 > 브랜드별사료(ㅇ~ㅎ) > 펄포즈[미국,동결건조]
18
+ inference: true
19
+ model-index:
20
+ - name: SetFit with klue/roberta-base
21
+ results:
22
+ - task:
23
+ type: text-classification
24
+ name: Text Classification
25
+ dataset:
26
+ name: Unknown
27
+ type: unknown
28
+ split: test
29
+ metrics:
30
+ - type: metric
31
+ value: 0.9616479969622176
32
+ name: Metric
33
+ ---
34
+
35
+ # SetFit with klue/roberta-base
36
+
37
+ This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [klue/roberta-base](https://huggingface.co/klue/roberta-base) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
38
+
39
+ The model has been trained using an efficient few-shot learning technique that involves:
40
+
41
+ 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
42
+ 2. Training a classification head with features from the fine-tuned Sentence Transformer.
43
+
44
+ ## Model Details
45
+
46
+ ### Model Description
47
+ - **Model Type:** SetFit
48
+ - **Sentence Transformer body:** [klue/roberta-base](https://huggingface.co/klue/roberta-base)
49
+ - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
50
+ - **Maximum Sequence Length:** 512 tokens
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+ - **Number of Classes:** 18 classes
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+ <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
53
+ <!-- - **Language:** Unknown -->
54
+ <!-- - **License:** Unknown -->
55
+
56
+ ### Model Sources
57
+
58
+ - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
59
+ - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
60
+ - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
61
+
62
+ ### Model Labels
63
+ | Label | Examples |
64
+ |:------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------|
65
+ | 11 | <ul><li>'모니터 > 24인치 > 165hz'</li><li>'가전디지털 > 계절가전 > 선풍기 > usb / 휴대용 > ##더숨'</li><li>'디지털 > 음향기기 > 이어폰·헤드폰 > 이어폰'</li></ul> |
66
+ | 4 | <ul><li>'반려동물용품 > 고양이용품 > 간식 > 캣닢 / 캣그라스'</li><li>'종류별수제간식 > 닭'</li><li>'고양이사료 > now'</li></ul> |
67
+ | 6 | <ul><li>'전동·에어·엔진공구 > 전동공구 > 크레스'</li><li>'20v(18v)파워툴 > 드릴,햄머드릴,스크류드라이버'</li><li>'작업공구 > 드라이버자석 > 자화기'</li></ul> |
68
+ | 12 | <ul><li>'가전디지털 > 휴대폰액세서리 > ##알로코리아'</li><li>'생활가전 > 청소기부품 > 액세서리기타'</li><li>'가전 / 디지털 / 키덜트 > pc / 저장장치 / oa기기 > 세단기 / 코팅기 / 사무용품 > 사무용품기타'</li></ul> |
69
+ | 3 | <ul><li>' / 문구'</li><li>'문구 / 오피스 > 사무용품전문관 > 사무용가구 / 수납 > 데스크정리소품 > 케이블타이'</li><li>'가구 / 생활 / 건강 / 렌탈 > 생활 / 취미 > 문구 / 사무용품'</li></ul> |
70
+ | 7 | <ul><li>'스포츠 / 용품 > 아우터 > 블레이저'</li><li>'스포츠 / 레저 > 잡화 > 양말'</li><li>'스포츠 / 용품 > 캠핑용품 > 침낭 / 매트 / 해먹'</li></ul> |
71
+ | 17 | <ul><li>' / 침구 / 패브릭 / 침구단품 / 거위털 / 오리털이불'</li><li>' / 조명 / 인테리어소품 / 데코소품 / 기타소품'</li><li>' / 서재 / 유아동가구 / 책상 / 컴퓨터책상'</li></ul> |
72
+ | 8 | <ul><li>'건강식품 / 홍삼 / 다이어트 > 영양제'</li><li>'식품 > 과자 / 초콜릿 / 시리얼 > 육포 / 원물간식 > 김스낵'</li><li>'식품 > 건강 / 다이어트식품 > 건강환 / 분말 > 건강분말'</li></ul> |
73
+ | 16 | <ul><li>'럭셔리 > 여성 > 액세서리 > 아이웨어'</li><li>' / 여성명품 / 시계 / 쥬얼리 / 목걸이'</li><li>'패션잡화 > ��션로드샵 > 여성가방 > 크로스백'</li></ul> |
74
+ | 5 | <ul><li>'뷰티 > 스킨케어 > 스킨케어 > 스킨케어세트'</li><li>'뷰티 > 뷰티기기 > 헤어왁스'</li><li>'라이프스타일 > 헤어케어'</li></ul> |
75
+ | 14 | <ul><li>'ssg > 유아동 > 유아동용품 / 출산 / 임신 > 유아동침구'</li><li>'ssg > 주식회사유니토아브랜드스토어 > 출산 / 육아용품 > 수유용품 > 치아발육기'</li><li>'분유 > 국내분유 > 남양유업 > 아기사랑수'</li></ul> |
76
+ | 10 | <ul><li>'생활 / 건강 > 자동차용품 > 세차용품 > 유리세정제'</li><li>'한국타이어 > 키너지올웨더h750 > 16인치'</li><li>'자동차 > 타이어·실외용품 > 장착형·스프레이체인 > 스노우체인'</li></ul> |
77
+ | 15 | <ul><li>'신생아 / 유아패션 > 점퍼 / 자켓 / 코트 > 패딩 / 다운'</li><li>' / 여성명품 / 상의 / 블라우스 / 셔츠'</li><li>'남성패션 > 의류 > 후드집업 / 집업류'</li></ul> |
78
+ | 1 | <ul><li>'생활용품 > 건강 / 의료용품 > 마스크 > 특수마스크'</li><li>'가전디지털 > 건강가전 > 건강측정 / 의료기 > 체중 / 체지방 / 신장계'</li><li>'출산 / 육아용품 > 건강 / 위생용품 > 기타건강용품'</li></ul> |
79
+ | 13 | <ul><li>'lil > 디바이스'</li><li>'전자담배세트'</li><li>'일회용전자담배'</li></ul> |
80
+ | 2 | <ul><li>'도서 / 음반 / dvd > 종교 > 기독교(천주교) > 묵상 / 영성'</li><li>'도서 / 음반 / dvd > 해외도서 > 문학 / 소설 > 전기'</li><li>'도서 / 음반 / dvd > 해외도서 > 유아동 > 학습 / 교육 > 참고서'</li></ul> |
81
+ | 0 | <ul><li>' / 서비스 / 헤어샵이용권 / 염색'</li><li>' / 서비스 / 이사 / 클리닝 / 일반 / 포장이사'</li><li>'ssg > e쿠폰 / 취미 > 서비스 > 헤어샵이용권'</li></ul> |
82
+ | 9 | <ul><li>' / 여행 / 여행용품 / 편의용품'</li><li>'여행 > 해외패키지 > 기타'</li><li>' / 여행 / 유심 / 와이파이 / 유심'</li></ul> |
83
+
84
+ ## Evaluation
85
+
86
+ ### Metrics
87
+ | Label | Metric |
88
+ |:--------|:-------|
89
+ | **all** | 0.9616 |
90
+
91
+ ## Uses
92
+
93
+ ### Direct Use for Inference
94
+
95
+ First install the SetFit library:
96
+
97
+ ```bash
98
+ pip install setfit
99
+ ```
100
+
101
+ Then you can load this model and run inference.
102
+
103
+ ```python
104
+ from setfit import SetFitModel
105
+
106
+ # Download from the 🤗 Hub
107
+ model = SetFitModel.from_pretrained("setfit_model_id")
108
+ # Run inference
109
+ preds = model("뷰티 > 스킨케어 > 클렌징 / 필링 > 클렌징")
110
+ ```
111
+
112
+ <!--
113
+ ### Downstream Use
114
+
115
+ *List how someone could finetune this model on their own dataset.*
116
+ -->
117
+
118
+ <!--
119
+ ### Out-of-Scope Use
120
+
121
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
122
+ -->
123
+
124
+ <!--
125
+ ## Bias, Risks and Limitations
126
+
127
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
128
+ -->
129
+
130
+ <!--
131
+ ### Recommendations
132
+
133
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
134
+ -->
135
+
136
+ ## Training Details
137
+
138
+ ### Training Set Metrics
139
+ | Training set | Min | Median | Max |
140
+ |:-------------|:----|:-------|:----|
141
+ | Word count | 1 | 6.3702 | 27 |
142
+
143
+ | Label | Training Sample Count |
144
+ |:------|:----------------------|
145
+ | 0 | 49 |
146
+ | 1 | 372 |
147
+ | 2 | 335 |
148
+ | 3 | 475 |
149
+ | 4 | 4903 |
150
+ | 5 | 3531 |
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+ | 6 | 3423 |
152
+ | 7 | 1947 |
153
+ | 8 | 3559 |
154
+ | 9 | 19 |
155
+ | 10 | 788 |
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+ | 11 | 20823 |
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+ | 12 | 2119 |
158
+ | 13 | 103 |
159
+ | 14 | 984 |
160
+ | 15 | 1542 |
161
+ | 16 | 1594 |
162
+ | 17 | 831 |
163
+
164
+ ### Training Hyperparameters
165
+ - batch_size: (256, 256)
166
+ - num_epochs: (10, 10)
167
+ - max_steps: -1
168
+ - sampling_strategy: oversampling
169
+ - num_iterations: 20
170
+ - body_learning_rate: (2e-05, 2e-05)
171
+ - head_learning_rate: 2e-05
172
+ - loss: CosineSimilarityLoss
173
+ - distance_metric: cosine_distance
174
+ - margin: 0.25
175
+ - end_to_end: False
176
+ - use_amp: False
177
+ - warmup_proportion: 0.1
178
+ - seed: 42
179
+ - eval_max_steps: -1
180
+ - load_best_model_at_end: False
181
+
182
+ ### Training Results
183
+ | Epoch | Step | Training Loss | Validation Loss |
184
+ |:------:|:-----:|:-------------:|:---------------:|
185
+ | 0.0001 | 1 | 0.2673 | - |
186
+ | 0.0068 | 50 | 0.2725 | - |
187
+ | 0.0135 | 100 | 0.2508 | - |
188
+ | 0.0203 | 150 | 0.2025 | - |
189
+ | 0.0270 | 200 | 0.1736 | - |
190
+ | 0.0338 | 250 | 0.118 | - |
191
+ | 0.0405 | 300 | 0.1014 | - |
192
+ | 0.0473 | 350 | 0.0761 | - |
193
+ | 0.0540 | 400 | 0.0807 | - |
194
+ | 0.0608 | 450 | 0.0902 | - |
195
+ | 0.0675 | 500 | 0.0512 | - |
196
+ | 0.0743 | 550 | 0.0594 | - |
197
+ | 0.0810 | 600 | 0.0547 | - |
198
+ | 0.0878 | 650 | 0.0387 | - |
199
+ | 0.0945 | 700 | 0.063 | - |
200
+ | 0.1013 | 750 | 0.0628 | - |
201
+ | 0.1080 | 800 | 0.0558 | - |
202
+ | 0.1148 | 850 | 0.0372 | - |
203
+ | 0.1215 | 900 | 0.0427 | - |
204
+ | 0.1283 | 950 | 0.0346 | - |
205
+ | 0.1350 | 1000 | 0.0285 | - |
206
+ | 0.1418 | 1050 | 0.045 | - |
207
+ | 0.1485 | 1100 | 0.0378 | - |
208
+ | 0.1553 | 1150 | 0.0312 | - |
209
+ | 0.1620 | 1200 | 0.0283 | - |
210
+ | 0.1688 | 1250 | 0.0369 | - |
211
+ | 0.1755 | 1300 | 0.0334 | - |
212
+ | 0.1823 | 1350 | 0.0387 | - |
213
+ | 0.1890 | 1400 | 0.0263 | - |
214
+ | 0.1958 | 1450 | 0.0405 | - |
215
+ | 0.2025 | 1500 | 0.0297 | - |
216
+ | 0.2093 | 1550 | 0.0265 | - |
217
+ | 0.2160 | 1600 | 0.0303 | - |
218
+ | 0.2228 | 1650 | 0.0214 | - |
219
+ | 0.2295 | 1700 | 0.024 | - |
220
+ | 0.2363 | 1750 | 0.0274 | - |
221
+ | 0.2430 | 1800 | 0.0249 | - |
222
+ | 0.2498 | 1850 | 0.0118 | - |
223
+ | 0.2565 | 1900 | 0.0202 | - |
224
+ | 0.2633 | 1950 | 0.0168 | - |
225
+ | 0.2701 | 2000 | 0.0245 | - |
226
+ | 0.2768 | 2050 | 0.0254 | - |
227
+ | 0.2836 | 2100 | 0.0207 | - |
228
+ | 0.2903 | 2150 | 0.0201 | - |
229
+ | 0.2971 | 2200 | 0.0187 | - |
230
+ | 0.3038 | 2250 | 0.0063 | - |
231
+ | 0.3106 | 2300 | 0.0375 | - |
232
+ | 0.3173 | 2350 | 0.0123 | - |
233
+ | 0.3241 | 2400 | 0.0149 | - |
234
+ | 0.3308 | 2450 | 0.0051 | - |
235
+ | 0.3376 | 2500 | 0.0303 | - |
236
+ | 0.3443 | 2550 | 0.0163 | - |
237
+ | 0.3511 | 2600 | 0.0175 | - |
238
+ | 0.3578 | 2650 | 0.0276 | - |
239
+ | 0.3646 | 2700 | 0.015 | - |
240
+ | 0.3713 | 2750 | 0.0114 | - |
241
+ | 0.3781 | 2800 | 0.0156 | - |
242
+ | 0.3848 | 2850 | 0.0155 | - |
243
+ | 0.3916 | 2900 | 0.0117 | - |
244
+ | 0.3983 | 2950 | 0.0107 | - |
245
+ | 0.4051 | 3000 | 0.0186 | - |
246
+ | 0.4118 | 3050 | 0.009 | - |
247
+ | 0.4186 | 3100 | 0.0189 | - |
248
+ | 0.4253 | 3150 | 0.0184 | - |
249
+ | 0.4321 | 3200 | 0.023 | - |
250
+ | 0.4388 | 3250 | 0.0253 | - |
251
+ | 0.4456 | 3300 | 0.018 | - |
252
+ | 0.4523 | 3350 | 0.0042 | - |
253
+ | 0.4591 | 3400 | 0.0159 | - |
254
+ | 0.4658 | 3450 | 0.0083 | - |
255
+ | 0.4726 | 3500 | 0.0066 | - |
256
+ | 0.4793 | 3550 | 0.012 | - |
257
+ | 0.4861 | 3600 | 0.0114 | - |
258
+ | 0.4928 | 3650 | 0.0172 | - |
259
+ | 0.4996 | 3700 | 0.0034 | - |
260
+ | 0.5063 | 3750 | 0.0106 | - |
261
+ | 0.5131 | 3800 | 0.0205 | - |
262
+ | 0.5198 | 3850 | 0.0056 | - |
263
+ | 0.5266 | 3900 | 0.0056 | - |
264
+ | 0.5334 | 3950 | 0.0069 | - |
265
+ | 0.5401 | 4000 | 0.0056 | - |
266
+ | 0.5469 | 4050 | 0.0069 | - |
267
+ | 0.5536 | 4100 | 0.0135 | - |
268
+ | 0.5604 | 4150 | 0.0162 | - |
269
+ | 0.5671 | 4200 | 0.0147 | - |
270
+ | 0.5739 | 4250 | 0.0127 | - |
271
+ | 0.5806 | 4300 | 0.0088 | - |
272
+ | 0.5874 | 4350 | 0.0073 | - |
273
+ | 0.5941 | 4400 | 0.0156 | - |
274
+ | 0.6009 | 4450 | 0.0064 | - |
275
+ | 0.6076 | 4500 | 0.0033 | - |
276
+ | 0.6144 | 4550 | 0.0081 | - |
277
+ | 0.6211 | 4600 | 0.0137 | - |
278
+ | 0.6279 | 4650 | 0.0063 | - |
279
+ | 0.6346 | 4700 | 0.0106 | - |
280
+ | 0.6414 | 4750 | 0.0086 | - |
281
+ | 0.6481 | 4800 | 0.008 | - |
282
+ | 0.6549 | 4850 | 0.0135 | - |
283
+ | 0.6616 | 4900 | 0.0117 | - |
284
+ | 0.6684 | 4950 | 0.0093 | - |
285
+ | 0.6751 | 5000 | 0.0094 | - |
286
+ | 0.6819 | 5050 | 0.0107 | - |
287
+ | 0.6886 | 5100 | 0.011 | - |
288
+ | 0.6954 | 5150 | 0.0227 | - |
289
+ | 0.7021 | 5200 | 0.003 | - |
290
+ | 0.7089 | 5250 | 0.0023 | - |
291
+ | 0.7156 | 5300 | 0.013 | - |
292
+ | 0.7224 | 5350 | 0.0086 | - |
293
+ | 0.7291 | 5400 | 0.0152 | - |
294
+ | 0.7359 | 5450 | 0.0152 | - |
295
+ | 0.7426 | 5500 | 0.015 | - |
296
+ | 0.7494 | 5550 | 0.0079 | - |
297
+ | 0.7561 | 5600 | 0.0165 | - |
298
+ | 0.7629 | 5650 | 0.0078 | - |
299
+ | 0.7696 | 5700 | 0.0075 | - |
300
+ | 0.7764 | 5750 | 0.0087 | - |
301
+ | 0.7831 | 5800 | 0.0029 | - |
302
+ | 0.7899 | 5850 | 0.0058 | - |
303
+ | 0.7967 | 5900 | 0.0148 | - |
304
+ | 0.8034 | 5950 | 0.0072 | - |
305
+ | 0.8102 | 6000 | 0.007 | - |
306
+ | 0.8169 | 6050 | 0.007 | - |
307
+ | 0.8237 | 6100 | 0.015 | - |
308
+ | 0.8304 | 6150 | 0.0115 | - |
309
+ | 0.8372 | 6200 | 0.0049 | - |
310
+ | 0.8439 | 6250 | 0.0164 | - |
311
+ | 0.8507 | 6300 | 0.013 | - |
312
+ | 0.8574 | 6350 | 0.0115 | - |
313
+ | 0.8642 | 6400 | 0.0135 | - |
314
+ | 0.8709 | 6450 | 0.0081 | - |
315
+ | 0.8777 | 6500 | 0.0047 | - |
316
+ | 0.8844 | 6550 | 0.0136 | - |
317
+ | 0.8912 | 6600 | 0.0072 | - |
318
+ | 0.8979 | 6650 | 0.0106 | - |
319
+ | 0.9047 | 6700 | 0.0042 | - |
320
+ | 0.9114 | 6750 | 0.0104 | - |
321
+ | 0.9182 | 6800 | 0.0075 | - |
322
+ | 0.9249 | 6850 | 0.0063 | - |
323
+ | 0.9317 | 6900 | 0.0087 | - |
324
+ | 0.9384 | 6950 | 0.0034 | - |
325
+ | 0.9452 | 7000 | 0.0057 | - |
326
+ | 0.9519 | 7050 | 0.0108 | - |
327
+ | 0.9587 | 7100 | 0.0131 | - |
328
+ | 0.9654 | 7150 | 0.0065 | - |
329
+ | 0.9722 | 7200 | 0.0051 | - |
330
+ | 0.9789 | 7250 | 0.005 | - |
331
+ | 0.9857 | 7300 | 0.0072 | - |
332
+ | 0.9924 | 7350 | 0.0019 | - |
333
+ | 0.9992 | 7400 | 0.0047 | - |
334
+ | 1.0059 | 7450 | 0.0048 | - |
335
+ | 1.0127 | 7500 | 0.0126 | - |
336
+ | 1.0194 | 7550 | 0.0049 | - |
337
+ | 1.0262 | 7600 | 0.0029 | - |
338
+ | 1.0329 | 7650 | 0.0078 | - |
339
+ | 1.0397 | 7700 | 0.0043 | - |
340
+ | 1.0464 | 7750 | 0.0064 | - |
341
+ | 1.0532 | 7800 | 0.0115 | - |
342
+ | 1.0600 | 7850 | 0.0071 | - |
343
+ | 1.0667 | 7900 | 0.0094 | - |
344
+ | 1.0735 | 7950 | 0.0046 | - |
345
+ | 1.0802 | 8000 | 0.0052 | - |
346
+ | 1.0870 | 8050 | 0.0123 | - |
347
+ | 1.0937 | 8100 | 0.0029 | - |
348
+ | 1.1005 | 8150 | 0.0094 | - |
349
+ | 1.1072 | 8200 | 0.0096 | - |
350
+ | 1.1140 | 8250 | 0.0057 | - |
351
+ | 1.1207 | 8300 | 0.0029 | - |
352
+ | 1.1275 | 8350 | 0.0044 | - |
353
+ | 1.1342 | 8400 | 0.0088 | - |
354
+ | 1.1410 | 8450 | 0.0097 | - |
355
+ | 1.1477 | 8500 | 0.0042 | - |
356
+ | 1.1545 | 8550 | 0.0079 | - |
357
+ | 1.1612 | 8600 | 0.0082 | - |
358
+ | 1.1680 | 8650 | 0.0039 | - |
359
+ | 1.1747 | 8700 | 0.0071 | - |
360
+ | 1.1815 | 8750 | 0.0089 | - |
361
+ | 1.1882 | 8800 | 0.0056 | - |
362
+ | 1.1950 | 8850 | 0.0075 | - |
363
+ | 1.2017 | 8900 | 0.0124 | - |
364
+ | 1.2085 | 8950 | 0.0058 | - |
365
+ | 1.2152 | 9000 | 0.007 | - |
366
+ | 1.2220 | 9050 | 0.0018 | - |
367
+ | 1.2287 | 9100 | 0.0072 | - |
368
+ | 1.2355 | 9150 | 0.0088 | - |
369
+ | 1.2422 | 9200 | 0.0116 | - |
370
+ | 1.2490 | 9250 | 0.0132 | - |
371
+ | 1.2557 | 9300 | 0.0095 | - |
372
+ | 1.2625 | 9350 | 0.0154 | - |
373
+ | 1.2692 | 9400 | 0.0043 | - |
374
+ | 1.2760 | 9450 | 0.0036 | - |
375
+ | 1.2827 | 9500 | 0.0101 | - |
376
+ | 1.2895 | 9550 | 0.0036 | - |
377
+ | 1.2962 | 9600 | 0.0041 | - |
378
+ | 1.3030 | 9650 | 0.0127 | - |
379
+ | 1.3097 | 9700 | 0.0077 | - |
380
+ | 1.3165 | 9750 | 0.0085 | - |
381
+ | 1.3233 | 9800 | 0.009 | - |
382
+ | 1.3300 | 9850 | 0.0035 | - |
383
+ | 1.3368 | 9900 | 0.0108 | - |
384
+ | 1.3435 | 9950 | 0.004 | - |
385
+ | 1.3503 | 10000 | 0.0083 | - |
386
+ | 1.3570 | 10050 | 0.0123 | - |
387
+ | 1.3638 | 10100 | 0.0026 | - |
388
+ | 1.3705 | 10150 | 0.016 | - |
389
+ | 1.3773 | 10200 | 0.0124 | - |
390
+ | 1.3840 | 10250 | 0.0083 | - |
391
+ | 1.3908 | 10300 | 0.0028 | - |
392
+ | 1.3975 | 10350 | 0.0132 | - |
393
+ | 1.4043 | 10400 | 0.003 | - |
394
+ | 1.4110 | 10450 | 0.0103 | - |
395
+ | 1.4178 | 10500 | 0.0191 | - |
396
+ | 1.4245 | 10550 | 0.0066 | - |
397
+ | 1.4313 | 10600 | 0.0062 | - |
398
+ | 1.4380 | 10650 | 0.0044 | - |
399
+ | 1.4448 | 10700 | 0.0035 | - |
400
+ | 1.4515 | 10750 | 0.0021 | - |
401
+ | 1.4583 | 10800 | 0.0054 | - |
402
+ | 1.4650 | 10850 | 0.006 | - |
403
+ | 1.4718 | 10900 | 0.0025 | - |
404
+ | 1.4785 | 10950 | 0.0059 | - |
405
+ | 1.4853 | 11000 | 0.0017 | - |
406
+ | 1.4920 | 11050 | 0.0115 | - |
407
+ | 1.4988 | 11100 | 0.0003 | - |
408
+ | 1.5055 | 11150 | 0.0045 | - |
409
+ | 1.5123 | 11200 | 0.0127 | - |
410
+ | 1.5190 | 11250 | 0.0139 | - |
411
+ | 1.5258 | 11300 | 0.0078 | - |
412
+ | 1.5325 | 11350 | 0.0068 | - |
413
+ | 1.5393 | 11400 | 0.0013 | - |
414
+ | 1.5460 | 11450 | 0.0017 | - |
415
+ | 1.5528 | 11500 | 0.0105 | - |
416
+ | 1.5595 | 11550 | 0.0075 | - |
417
+ | 1.5663 | 11600 | 0.0029 | - |
418
+ | 1.5730 | 11650 | 0.0065 | - |
419
+ | 1.5798 | 11700 | 0.0087 | - |
420
+ | 1.5866 | 11750 | 0.0114 | - |
421
+ | 1.5933 | 11800 | 0.0193 | - |
422
+ | 1.6001 | 11850 | 0.0094 | - |
423
+ | 1.6068 | 11900 | 0.0028 | - |
424
+ | 1.6136 | 11950 | 0.0059 | - |
425
+ | 1.6203 | 12000 | 0.0043 | - |
426
+ | 1.6271 | 12050 | 0.0059 | - |
427
+ | 1.6338 | 12100 | 0.0058 | - |
428
+ | 1.6406 | 12150 | 0.0068 | - |
429
+ | 1.6473 | 12200 | 0.0032 | - |
430
+ | 1.6541 | 12250 | 0.0028 | - |
431
+ | 1.6608 | 12300 | 0.003 | - |
432
+ | 1.6676 | 12350 | 0.002 | - |
433
+ | 1.6743 | 12400 | 0.0043 | - |
434
+ | 1.6811 | 12450 | 0.0008 | - |
435
+ | 1.6878 | 12500 | 0.0027 | - |
436
+ | 1.6946 | 12550 | 0.0022 | - |
437
+ | 1.7013 | 12600 | 0.0046 | - |
438
+ | 1.7081 | 12650 | 0.005 | - |
439
+ | 1.7148 | 12700 | 0.006 | - |
440
+ | 1.7216 | 12750 | 0.0118 | - |
441
+ | 1.7283 | 12800 | 0.0014 | - |
442
+ | 1.7351 | 12850 | 0.0023 | - |
443
+ | 1.7418 | 12900 | 0.0016 | - |
444
+ | 1.7486 | 12950 | 0.0038 | - |
445
+ | 1.7553 | 13000 | 0.007 | - |
446
+ | 1.7621 | 13050 | 0.0033 | - |
447
+ | 1.7688 | 13100 | 0.0093 | - |
448
+ | 1.7756 | 13150 | 0.0017 | - |
449
+ | 1.7823 | 13200 | 0.0027 | - |
450
+ | 1.7891 | 13250 | 0.0036 | - |
451
+ | 1.7958 | 13300 | 0.0039 | - |
452
+ | 1.8026 | 13350 | 0.0112 | - |
453
+ | 1.8093 | 13400 | 0.0015 | - |
454
+ | 1.8161 | 13450 | 0.0115 | - |
455
+ | 1.8228 | 13500 | 0.0016 | - |
456
+ | 1.8296 | 13550 | 0.0069 | - |
457
+ | 1.8363 | 13600 | 0.0037 | - |
458
+ | 1.8431 | 13650 | 0.003 | - |
459
+ | 1.8499 | 13700 | 0.0059 | - |
460
+ | 1.8566 | 13750 | 0.0019 | - |
461
+ | 1.8634 | 13800 | 0.0107 | - |
462
+ | 1.8701 | 13850 | 0.0074 | - |
463
+ | 1.8769 | 13900 | 0.002 | - |
464
+ | 1.8836 | 13950 | 0.0079 | - |
465
+ | 1.8904 | 14000 | 0.0071 | - |
466
+ | 1.8971 | 14050 | 0.0067 | - |
467
+ | 1.9039 | 14100 | 0.0046 | - |
468
+ | 1.9106 | 14150 | 0.0111 | - |
469
+ | 1.9174 | 14200 | 0.0093 | - |
470
+ | 1.9241 | 14250 | 0.0067 | - |
471
+ | 1.9309 | 14300 | 0.0023 | - |
472
+ | 1.9376 | 14350 | 0.0016 | - |
473
+ | 1.9444 | 14400 | 0.0055 | - |
474
+ | 1.9511 | 14450 | 0.003 | - |
475
+ | 1.9579 | 14500 | 0.0059 | - |
476
+ | 1.9646 | 14550 | 0.0001 | - |
477
+ | 1.9714 | 14600 | 0.0026 | - |
478
+ | 1.9781 | 14650 | 0.0051 | - |
479
+ | 1.9849 | 14700 | 0.0022 | - |
480
+ | 1.9916 | 14750 | 0.0007 | - |
481
+ | 1.9984 | 14800 | 0.0125 | - |
482
+ | 2.0051 | 14850 | 0.014 | - |
483
+ | 2.0119 | 14900 | 0.0021 | - |
484
+ | 2.0186 | 14950 | 0.0074 | - |
485
+ | 2.0254 | 15000 | 0.0093 | - |
486
+ | 2.0321 | 15050 | 0.0078 | - |
487
+ | 2.0389 | 15100 | 0.0006 | - |
488
+ | 2.0456 | 15150 | 0.0056 | - |
489
+ | 2.0524 | 15200 | 0.0051 | - |
490
+ | 2.0591 | 15250 | 0.0025 | - |
491
+ | 2.0659 | 15300 | 0.0059 | - |
492
+ | 2.0726 | 15350 | 0.0001 | - |
493
+ | 2.0794 | 15400 | 0.0061 | - |
494
+ | 2.0861 | 15450 | 0.0027 | - |
495
+ | 2.0929 | 15500 | 0.0195 | - |
496
+ | 2.0996 | 15550 | 0.0041 | - |
497
+ | 2.1064 | 15600 | 0.0065 | - |
498
+ | 2.1132 | 15650 | 0.0033 | - |
499
+ | 2.1199 | 15700 | 0.0035 | - |
500
+ | 2.1267 | 15750 | 0.007 | - |
501
+ | 2.1334 | 15800 | 0.0075 | - |
502
+ | 2.1402 | 15850 | 0.0048 | - |
503
+ | 2.1469 | 15900 | 0.0056 | - |
504
+ | 2.1537 | 15950 | 0.0044 | - |
505
+ | 2.1604 | 16000 | 0.0044 | - |
506
+ | 2.1672 | 16050 | 0.0057 | - |
507
+ | 2.1739 | 16100 | 0.009 | - |
508
+ | 2.1807 | 16150 | 0.0057 | - |
509
+ | 2.1874 | 16200 | 0.0021 | - |
510
+ | 2.1942 | 16250 | 0.0051 | - |
511
+ | 2.2009 | 16300 | 0.0055 | - |
512
+ | 2.2077 | 16350 | 0.0092 | - |
513
+ | 2.2144 | 16400 | 0.0029 | - |
514
+ | 2.2212 | 16450 | 0.0067 | - |
515
+ | 2.2279 | 16500 | 0.0104 | - |
516
+ | 2.2347 | 16550 | 0.0028 | - |
517
+ | 2.2414 | 16600 | 0.0068 | - |
518
+ | 2.2482 | 16650 | 0.0068 | - |
519
+ | 2.2549 | 16700 | 0.0016 | - |
520
+ | 2.2617 | 16750 | 0.0034 | - |
521
+ | 2.2684 | 16800 | 0.0045 | - |
522
+ | 2.2752 | 16850 | 0.0067 | - |
523
+ | 2.2819 | 16900 | 0.0085 | - |
524
+ | 2.2887 | 16950 | 0.0059 | - |
525
+ | 2.2954 | 17000 | 0.0044 | - |
526
+ | 2.3022 | 17050 | 0.0083 | - |
527
+ | 2.3089 | 17100 | 0.0065 | - |
528
+ | 2.3157 | 17150 | 0.0031 | - |
529
+ | 2.3224 | 17200 | 0.002 | - |
530
+ | 2.3292 | 17250 | 0.0025 | - |
531
+ | 2.3359 | 17300 | 0.0025 | - |
532
+ | 2.3427 | 17350 | 0.0068 | - |
533
+ | 2.3494 | 17400 | 0.0106 | - |
534
+ | 2.3562 | 17450 | 0.003 | - |
535
+ | 2.3629 | 17500 | 0.0073 | - |
536
+ | 2.3697 | 17550 | 0.0015 | - |
537
+ | 2.3765 | 17600 | 0.0074 | - |
538
+ | 2.3832 | 17650 | 0.006 | - |
539
+ | 2.3900 | 17700 | 0.0031 | - |
540
+ | 2.3967 | 17750 | 0.0077 | - |
541
+ | 2.4035 | 17800 | 0.0074 | - |
542
+ | 2.4102 | 17850 | 0.0017 | - |
543
+ | 2.4170 | 17900 | 0.0067 | - |
544
+ | 2.4237 | 17950 | 0.0042 | - |
545
+ | 2.4305 | 18000 | 0.0017 | - |
546
+ | 2.4372 | 18050 | 0.0033 | - |
547
+ | 2.4440 | 18100 | 0.012 | - |
548
+ | 2.4507 | 18150 | 0.0069 | - |
549
+ | 2.4575 | 18200 | 0.0018 | - |
550
+ | 2.4642 | 18250 | 0.0035 | - |
551
+ | 2.4710 | 18300 | 0.0028 | - |
552
+ | 2.4777 | 18350 | 0.0049 | - |
553
+ | 2.4845 | 18400 | 0.0079 | - |
554
+ | 2.4912 | 18450 | 0.001 | - |
555
+ | 2.4980 | 18500 | 0.0032 | - |
556
+ | 2.5047 | 18550 | 0.0015 | - |
557
+ | 2.5115 | 18600 | 0.0088 | - |
558
+ | 2.5182 | 18650 | 0.0045 | - |
559
+ | 2.5250 | 18700 | 0.0086 | - |
560
+ | 2.5317 | 18750 | 0.0011 | - |
561
+ | 2.5385 | 18800 | 0.004 | - |
562
+ | 2.5452 | 18850 | 0.0006 | - |
563
+ | 2.5520 | 18900 | 0.0037 | - |
564
+ | 2.5587 | 18950 | 0.0042 | - |
565
+ | 2.5655 | 19000 | 0.0032 | - |
566
+ | 2.5722 | 19050 | 0.0015 | - |
567
+ | 2.5790 | 19100 | 0.0036 | - |
568
+ | 2.5857 | 19150 | 0.002 | - |
569
+ | 2.5925 | 19200 | 0.0065 | - |
570
+ | 2.5992 | 19250 | 0.0052 | - |
571
+ | 2.6060 | 19300 | 0.0033 | - |
572
+ | 2.6127 | 19350 | 0.0036 | - |
573
+ | 2.6195 | 19400 | 0.0068 | - |
574
+ | 2.6262 | 19450 | 0.0046 | - |
575
+ | 2.6330 | 19500 | 0.0041 | - |
576
+ | 2.6398 | 19550 | 0.0081 | - |
577
+ | 2.6465 | 19600 | 0.0006 | - |
578
+ | 2.6533 | 19650 | 0.0077 | - |
579
+ | 2.6600 | 19700 | 0.0045 | - |
580
+ | 2.6668 | 19750 | 0.002 | - |
581
+ | 2.6735 | 19800 | 0.0049 | - |
582
+ | 2.6803 | 19850 | 0.0016 | - |
583
+ | 2.6870 | 19900 | 0.0075 | - |
584
+ | 2.6938 | 19950 | 0.0037 | - |
585
+ | 2.7005 | 20000 | 0.0006 | - |
586
+ | 2.7073 | 20050 | 0.0025 | - |
587
+ | 2.7140 | 20100 | 0.0103 | - |
588
+ | 2.7208 | 20150 | 0.0094 | - |
589
+ | 2.7275 | 20200 | 0.0068 | - |
590
+ | 2.7343 | 20250 | 0.0024 | - |
591
+ | 2.7410 | 20300 | 0.0069 | - |
592
+ | 2.7478 | 20350 | 0.0053 | - |
593
+ | 2.7545 | 20400 | 0.0023 | - |
594
+ | 2.7613 | 20450 | 0.006 | - |
595
+ | 2.7680 | 20500 | 0.0007 | - |
596
+ | 2.7748 | 20550 | 0.0023 | - |
597
+ | 2.7815 | 20600 | 0.0033 | - |
598
+ | 2.7883 | 20650 | 0.0073 | - |
599
+ | 2.7950 | 20700 | 0.0004 | - |
600
+ | 2.8018 | 20750 | 0.0036 | - |
601
+ | 2.8085 | 20800 | 0.0006 | - |
602
+ | 2.8153 | 20850 | 0.0075 | - |
603
+ | 2.8220 | 20900 | 0.0028 | - |
604
+ | 2.8288 | 20950 | 0.002 | - |
605
+ | 2.8355 | 21000 | 0.0024 | - |
606
+ | 2.8423 | 21050 | 0.0003 | - |
607
+ | 2.8490 | 21100 | 0.0044 | - |
608
+ | 2.8558 | 21150 | 0.0045 | - |
609
+ | 2.8625 | 21200 | 0.0102 | - |
610
+ | 2.8693 | 21250 | 0.0017 | - |
611
+ | 2.8760 | 21300 | 0.0089 | - |
612
+ | 2.8828 | 21350 | 0.0041 | - |
613
+ | 2.8895 | 21400 | 0.0047 | - |
614
+ | 2.8963 | 21450 | 0.0103 | - |
615
+ | 2.9031 | 21500 | 0.0104 | - |
616
+ | 2.9098 | 21550 | 0.0032 | - |
617
+ | 2.9166 | 21600 | 0.0038 | - |
618
+ | 2.9233 | 21650 | 0.0093 | - |
619
+ | 2.9301 | 21700 | 0.0033 | - |
620
+ | 2.9368 | 21750 | 0.0053 | - |
621
+ | 2.9436 | 21800 | 0.0117 | - |
622
+ | 2.9503 | 21850 | 0.0025 | - |
623
+ | 2.9571 | 21900 | 0.007 | - |
624
+ | 2.9638 | 21950 | 0.0006 | - |
625
+ | 2.9706 | 22000 | 0.0069 | - |
626
+ | 2.9773 | 22050 | 0.004 | - |
627
+ | 2.9841 | 22100 | 0.0064 | - |
628
+ | 2.9908 | 22150 | 0.0081 | - |
629
+ | 2.9976 | 22200 | 0.0031 | - |
630
+ | 3.0043 | 22250 | 0.0043 | - |
631
+ | 3.0111 | 22300 | 0.0006 | - |
632
+ | 3.0178 | 22350 | 0.0028 | - |
633
+ | 3.0246 | 22400 | 0.0058 | - |
634
+ | 3.0313 | 22450 | 0.0057 | - |
635
+ | 3.0381 | 22500 | 0.0076 | - |
636
+ | 3.0448 | 22550 | 0.0028 | - |
637
+ | 3.0516 | 22600 | 0.0093 | - |
638
+ | 3.0583 | 22650 | 0.0031 | - |
639
+ | 3.0651 | 22700 | 0.0046 | - |
640
+ | 3.0718 | 22750 | 0.0045 | - |
641
+ | 3.0786 | 22800 | 0.0046 | - |
642
+ | 3.0853 | 22850 | 0.0019 | - |
643
+ | 3.0921 | 22900 | 0.004 | - |
644
+ | 3.0988 | 22950 | 0.0024 | - |
645
+ | 3.1056 | 23000 | 0.0065 | - |
646
+ | 3.1123 | 23050 | 0.0065 | - |
647
+ | 3.1191 | 23100 | 0.0026 | - |
648
+ | 3.1258 | 23150 | 0.0105 | - |
649
+ | 3.1326 | 23200 | 0.0028 | - |
650
+ | 3.1393 | 23250 | 0.0029 | - |
651
+ | 3.1461 | 23300 | 0.0052 | - |
652
+ | 3.1528 | 23350 | 0.0068 | - |
653
+ | 3.1596 | 23400 | 0.006 | - |
654
+ | 3.1664 | 23450 | 0.0049 | - |
655
+ | 3.1731 | 23500 | 0.0087 | - |
656
+ | 3.1799 | 23550 | 0.0103 | - |
657
+ | 3.1866 | 23600 | 0.0045 | - |
658
+ | 3.1934 | 23650 | 0.0054 | - |
659
+ | 3.2001 | 23700 | 0.0018 | - |
660
+ | 3.2069 | 23750 | 0.0083 | - |
661
+ | 3.2136 | 23800 | 0.005 | - |
662
+ | 3.2204 | 23850 | 0.0041 | - |
663
+ | 3.2271 | 23900 | 0.0054 | - |
664
+ | 3.2339 | 23950 | 0.0062 | - |
665
+ | 3.2406 | 24000 | 0.0038 | - |
666
+ | 3.2474 | 24050 | 0.0047 | - |
667
+ | 3.2541 | 24100 | 0.0025 | - |
668
+ | 3.2609 | 24150 | 0.0074 | - |
669
+ | 3.2676 | 24200 | 0.0027 | - |
670
+ | 3.2744 | 24250 | 0.0007 | - |
671
+ | 3.2811 | 24300 | 0.0038 | - |
672
+ | 3.2879 | 24350 | 0.0004 | - |
673
+ | 3.2946 | 24400 | 0.006 | - |
674
+ | 3.3014 | 24450 | 0.0001 | - |
675
+ | 3.3081 | 24500 | 0.0085 | - |
676
+ | 3.3149 | 24550 | 0.0053 | - |
677
+ | 3.3216 | 24600 | 0.0079 | - |
678
+ | 3.3284 | 24650 | 0.0036 | - |
679
+ | 3.3351 | 24700 | 0.0026 | - |
680
+ | 3.3419 | 24750 | 0.0056 | - |
681
+ | 3.3486 | 24800 | 0.0044 | - |
682
+ | 3.3554 | 24850 | 0.0076 | - |
683
+ | 3.3621 | 24900 | 0.005 | - |
684
+ | 3.3689 | 24950 | 0.0071 | - |
685
+ | 3.3756 | 25000 | 0.0044 | - |
686
+ | 3.3824 | 25050 | 0.0022 | - |
687
+ | 3.3891 | 25100 | 0.0068 | - |
688
+ | 3.3959 | 25150 | 0.0007 | - |
689
+ | 3.4026 | 25200 | 0.0028 | - |
690
+ | 3.4094 | 25250 | 0.0102 | - |
691
+ | 3.4161 | 25300 | 0.0016 | - |
692
+ | 3.4229 | 25350 | 0.0006 | - |
693
+ | 3.4297 | 25400 | 0.0061 | - |
694
+ | 3.4364 | 25450 | 0.0077 | - |
695
+ | 3.4432 | 25500 | 0.0117 | - |
696
+ | 3.4499 | 25550 | 0.0052 | - |
697
+ | 3.4567 | 25600 | 0.0034 | - |
698
+ | 3.4634 | 25650 | 0.0052 | - |
699
+ | 3.4702 | 25700 | 0.0031 | - |
700
+ | 3.4769 | 25750 | 0.0009 | - |
701
+ | 3.4837 | 25800 | 0.0024 | - |
702
+ | 3.4904 | 25850 | 0.0022 | - |
703
+ | 3.4972 | 25900 | 0.0033 | - |
704
+ | 3.5039 | 25950 | 0.0058 | - |
705
+ | 3.5107 | 26000 | 0.0034 | - |
706
+ | 3.5174 | 26050 | 0.002 | - |
707
+ | 3.5242 | 26100 | 0.0043 | - |
708
+ | 3.5309 | 26150 | 0.0043 | - |
709
+ | 3.5377 | 26200 | 0.0065 | - |
710
+ | 3.5444 | 26250 | 0.0035 | - |
711
+ | 3.5512 | 26300 | 0.0093 | - |
712
+ | 3.5579 | 26350 | 0.0037 | - |
713
+ | 3.5647 | 26400 | 0.0008 | - |
714
+ | 3.5714 | 26450 | 0.0048 | - |
715
+ | 3.5782 | 26500 | 0.0031 | - |
716
+ | 3.5849 | 26550 | 0.0074 | - |
717
+ | 3.5917 | 26600 | 0.0073 | - |
718
+ | 3.5984 | 26650 | 0.0107 | - |
719
+ | 3.6052 | 26700 | 0.0066 | - |
720
+ | 3.6119 | 26750 | 0.0028 | - |
721
+ | 3.6187 | 26800 | 0.0022 | - |
722
+ | 3.6254 | 26850 | 0.0033 | - |
723
+ | 3.6322 | 26900 | 0.0076 | - |
724
+ | 3.6389 | 26950 | 0.0062 | - |
725
+ | 3.6457 | 27000 | 0.0078 | - |
726
+ | 3.6524 | 27050 | 0.0097 | - |
727
+ | 3.6592 | 27100 | 0.0112 | - |
728
+ | 3.6659 | 27150 | 0.0042 | - |
729
+ | 3.6727 | 27200 | 0.001 | - |
730
+ | 3.6794 | 27250 | 0.0085 | - |
731
+ | 3.6862 | 27300 | 0.0036 | - |
732
+ | 3.6930 | 27350 | 0.0098 | - |
733
+ | 3.6997 | 27400 | 0.0046 | - |
734
+ | 3.7065 | 27450 | 0.014 | - |
735
+ | 3.7132 | 27500 | 0.0009 | - |
736
+ | 3.7200 | 27550 | 0.0017 | - |
737
+ | 3.7267 | 27600 | 0.0039 | - |
738
+ | 3.7335 | 27650 | 0.0031 | - |
739
+ | 3.7402 | 27700 | 0.0039 | - |
740
+ | 3.7470 | 27750 | 0.0037 | - |
741
+ | 3.7537 | 27800 | 0.0054 | - |
742
+ | 3.7605 | 27850 | 0.0022 | - |
743
+ | 3.7672 | 27900 | 0.0073 | - |
744
+ | 3.7740 | 27950 | 0.0109 | - |
745
+ | 3.7807 | 28000 | 0.0077 | - |
746
+ | 3.7875 | 28050 | 0.004 | - |
747
+ | 3.7942 | 28100 | 0.0023 | - |
748
+ | 3.8010 | 28150 | 0.0059 | - |
749
+ | 3.8077 | 28200 | 0.0016 | - |
750
+ | 3.8145 | 28250 | 0.0026 | - |
751
+ | 3.8212 | 28300 | 0.0057 | - |
752
+ | 3.8280 | 28350 | 0.0005 | - |
753
+ | 3.8347 | 28400 | 0.0024 | - |
754
+ | 3.8415 | 28450 | 0.0042 | - |
755
+ | 3.8482 | 28500 | 0.0076 | - |
756
+ | 3.8550 | 28550 | 0.0017 | - |
757
+ | 3.8617 | 28600 | 0.0102 | - |
758
+ | 3.8685 | 28650 | 0.0065 | - |
759
+ | 3.8752 | 28700 | 0.007 | - |
760
+ | 3.8820 | 28750 | 0.0042 | - |
761
+ | 3.8887 | 28800 | 0.0023 | - |
762
+ | 3.8955 | 28850 | 0.0101 | - |
763
+ | 3.9022 | 28900 | 0.0054 | - |
764
+ | 3.9090 | 28950 | 0.002 | - |
765
+ | 3.9157 | 29000 | 0.0017 | - |
766
+ | 3.9225 | 29050 | 0.0134 | - |
767
+ | 3.9292 | 29100 | 0.0079 | - |
768
+ | 3.9360 | 29150 | 0.0122 | - |
769
+ | 3.9427 | 29200 | 0.0016 | - |
770
+ | 3.9495 | 29250 | 0.0038 | - |
771
+ | 3.9563 | 29300 | 0.0031 | - |
772
+ | 3.9630 | 29350 | 0.0069 | - |
773
+ | 3.9698 | 29400 | 0.0047 | - |
774
+ | 3.9765 | 29450 | 0.0028 | - |
775
+ | 3.9833 | 29500 | 0.007 | - |
776
+ | 3.9900 | 29550 | 0.0056 | - |
777
+ | 3.9968 | 29600 | 0.0092 | - |
778
+ | 4.0035 | 29650 | 0.0034 | - |
779
+ | 4.0103 | 29700 | 0.0042 | - |
780
+ | 4.0170 | 29750 | 0.0067 | - |
781
+ | 4.0238 | 29800 | 0.0019 | - |
782
+ | 4.0305 | 29850 | 0.0036 | - |
783
+ | 4.0373 | 29900 | 0.0018 | - |
784
+ | 4.0440 | 29950 | 0.0015 | - |
785
+ | 4.0508 | 30000 | 0.0048 | - |
786
+ | 4.0575 | 30050 | 0.0049 | - |
787
+ | 4.0643 | 30100 | 0.0033 | - |
788
+ | 4.0710 | 30150 | 0.0016 | - |
789
+ | 4.0778 | 30200 | 0.0058 | - |
790
+ | 4.0845 | 30250 | 0.0043 | - |
791
+ | 4.0913 | 30300 | 0.0089 | - |
792
+ | 4.0980 | 30350 | 0.002 | - |
793
+ | 4.1048 | 30400 | 0.002 | - |
794
+ | 4.1115 | 30450 | 0.0054 | - |
795
+ | 4.1183 | 30500 | 0.0066 | - |
796
+ | 4.1250 | 30550 | 0.002 | - |
797
+ | 4.1318 | 30600 | 0.0058 | - |
798
+ | 4.1385 | 30650 | 0.0069 | - |
799
+ | 4.1453 | 30700 | 0.0067 | - |
800
+ | 4.1520 | 30750 | 0.007 | - |
801
+ | 4.1588 | 30800 | 0.0041 | - |
802
+ | 4.1655 | 30850 | 0.0078 | - |
803
+ | 4.1723 | 30900 | 0.0065 | - |
804
+ | 4.1790 | 30950 | 0.0046 | - |
805
+ | 4.1858 | 31000 | 0.0002 | - |
806
+ | 4.1925 | 31050 | 0.0048 | - |
807
+ | 4.1993 | 31100 | 0.0043 | - |
808
+ | 4.2060 | 31150 | 0.0033 | - |
809
+ | 4.2128 | 31200 | 0.0022 | - |
810
+ | 4.2196 | 31250 | 0.0027 | - |
811
+ | 4.2263 | 31300 | 0.0016 | - |
812
+ | 4.2331 | 31350 | 0.0041 | - |
813
+ | 4.2398 | 31400 | 0.0017 | - |
814
+ | 4.2466 | 31450 | 0.0 | - |
815
+ | 4.2533 | 31500 | 0.0067 | - |
816
+ | 4.2601 | 31550 | 0.0037 | - |
817
+ | 4.2668 | 31600 | 0.0024 | - |
818
+ | 4.2736 | 31650 | 0.0012 | - |
819
+ | 4.2803 | 31700 | 0.0073 | - |
820
+ | 4.2871 | 31750 | 0.005 | - |
821
+ | 4.2938 | 31800 | 0.0143 | - |
822
+ | 4.3006 | 31850 | 0.0064 | - |
823
+ | 4.3073 | 31900 | 0.0042 | - |
824
+ | 4.3141 | 31950 | 0.0076 | - |
825
+ | 4.3208 | 32000 | 0.0063 | - |
826
+ | 4.3276 | 32050 | 0.0103 | - |
827
+ | 4.3343 | 32100 | 0.009 | - |
828
+ | 4.3411 | 32150 | 0.0042 | - |
829
+ | 4.3478 | 32200 | 0.0063 | - |
830
+ | 4.3546 | 32250 | 0.0015 | - |
831
+ | 4.3613 | 32300 | 0.0009 | - |
832
+ | 4.3681 | 32350 | 0.0031 | - |
833
+ | 4.3748 | 32400 | 0.0056 | - |
834
+ | 4.3816 | 32450 | 0.0089 | - |
835
+ | 4.3883 | 32500 | 0.0035 | - |
836
+ | 4.3951 | 32550 | 0.0046 | - |
837
+ | 4.4018 | 32600 | 0.0008 | - |
838
+ | 4.4086 | 32650 | 0.0059 | - |
839
+ | 4.4153 | 32700 | 0.0034 | - |
840
+ | 4.4221 | 32750 | 0.0057 | - |
841
+ | 4.4288 | 32800 | 0.0084 | - |
842
+ | 4.4356 | 32850 | 0.0075 | - |
843
+ | 4.4423 | 32900 | 0.0067 | - |
844
+ | 4.4491 | 32950 | 0.0017 | - |
845
+ | 4.4558 | 33000 | 0.0077 | - |
846
+ | 4.4626 | 33050 | 0.005 | - |
847
+ | 4.4693 | 33100 | 0.0097 | - |
848
+ | 4.4761 | 33150 | 0.0052 | - |
849
+ | 4.4829 | 33200 | 0.005 | - |
850
+ | 4.4896 | 33250 | 0.0025 | - |
851
+ | 4.4964 | 33300 | 0.0073 | - |
852
+ | 4.5031 | 33350 | 0.004 | - |
853
+ | 4.5099 | 33400 | 0.003 | - |
854
+ | 4.5166 | 33450 | 0.0086 | - |
855
+ | 4.5234 | 33500 | 0.0056 | - |
856
+ | 4.5301 | 33550 | 0.0071 | - |
857
+ | 4.5369 | 33600 | 0.0008 | - |
858
+ | 4.5436 | 33650 | 0.0045 | - |
859
+ | 4.5504 | 33700 | 0.014 | - |
860
+ | 4.5571 | 33750 | 0.0022 | - |
861
+ | 4.5639 | 33800 | 0.0057 | - |
862
+ | 4.5706 | 33850 | 0.0035 | - |
863
+ | 4.5774 | 33900 | 0.0014 | - |
864
+ | 4.5841 | 33950 | 0.0036 | - |
865
+ | 4.5909 | 34000 | 0.0005 | - |
866
+ | 4.5976 | 34050 | 0.0037 | - |
867
+ | 4.6044 | 34100 | 0.0008 | - |
868
+ | 4.6111 | 34150 | 0.0081 | - |
869
+ | 4.6179 | 34200 | 0.0017 | - |
870
+ | 4.6246 | 34250 | 0.009 | - |
871
+ | 4.6314 | 34300 | 0.0046 | - |
872
+ | 4.6381 | 34350 | 0.0016 | - |
873
+ | 4.6449 | 34400 | 0.0016 | - |
874
+ | 4.6516 | 34450 | 0.007 | - |
875
+ | 4.6584 | 34500 | 0.0034 | - |
876
+ | 4.6651 | 34550 | 0.0032 | - |
877
+ | 4.6719 | 34600 | 0.0 | - |
878
+ | 4.6786 | 34650 | 0.0003 | - |
879
+ | 4.6854 | 34700 | 0.0035 | - |
880
+ | 4.6921 | 34750 | 0.0067 | - |
881
+ | 4.6989 | 34800 | 0.0006 | - |
882
+ | 4.7056 | 34850 | 0.0033 | - |
883
+ | 4.7124 | 34900 | 0.0068 | - |
884
+ | 4.7191 | 34950 | 0.0018 | - |
885
+ | 4.7259 | 35000 | 0.0021 | - |
886
+ | 4.7326 | 35050 | 0.0025 | - |
887
+ | 4.7394 | 35100 | 0.0043 | - |
888
+ | 4.7462 | 35150 | 0.0112 | - |
889
+ | 4.7529 | 35200 | 0.0081 | - |
890
+ | 4.7597 | 35250 | 0.0001 | - |
891
+ | 4.7664 | 35300 | 0.0021 | - |
892
+ | 4.7732 | 35350 | 0.0011 | - |
893
+ | 4.7799 | 35400 | 0.0015 | - |
894
+ | 4.7867 | 35450 | 0.0013 | - |
895
+ | 4.7934 | 35500 | 0.0025 | - |
896
+ | 4.8002 | 35550 | 0.0031 | - |
897
+ | 4.8069 | 35600 | 0.0034 | - |
898
+ | 4.8137 | 35650 | 0.0 | - |
899
+ | 4.8204 | 35700 | 0.0044 | - |
900
+ | 4.8272 | 35750 | 0.0032 | - |
901
+ | 4.8339 | 35800 | 0.0053 | - |
902
+ | 4.8407 | 35850 | 0.0025 | - |
903
+ | 4.8474 | 35900 | 0.0034 | - |
904
+ | 4.8542 | 35950 | 0.0031 | - |
905
+ | 4.8609 | 36000 | 0.0022 | - |
906
+ | 4.8677 | 36050 | 0.0022 | - |
907
+ | 4.8744 | 36100 | 0.0069 | - |
908
+ | 4.8812 | 36150 | 0.0012 | - |
909
+ | 4.8879 | 36200 | 0.0034 | - |
910
+ | 4.8947 | 36250 | 0.0031 | - |
911
+ | 4.9014 | 36300 | 0.0066 | - |
912
+ | 4.9082 | 36350 | 0.0042 | - |
913
+ | 4.9149 | 36400 | 0.0025 | - |
914
+ | 4.9217 | 36450 | 0.0036 | - |
915
+ | 4.9284 | 36500 | 0.0096 | - |
916
+ | 4.9352 | 36550 | 0.011 | - |
917
+ | 4.9419 | 36600 | 0.0043 | - |
918
+ | 4.9487 | 36650 | 0.005 | - |
919
+ | 4.9554 | 36700 | 0.0042 | - |
920
+ | 4.9622 | 36750 | 0.0041 | - |
921
+ | 4.9689 | 36800 | 0.0018 | - |
922
+ | 4.9757 | 36850 | 0.0012 | - |
923
+ | 4.9824 | 36900 | 0.0095 | - |
924
+ | 4.9892 | 36950 | 0.0006 | - |
925
+ | 4.9959 | 37000 | 0.002 | - |
926
+ | 5.0027 | 37050 | 0.0055 | - |
927
+ | 5.0095 | 37100 | 0.0078 | - |
928
+ | 5.0162 | 37150 | 0.0072 | - |
929
+ | 5.0230 | 37200 | 0.0079 | - |
930
+ | 5.0297 | 37250 | 0.0047 | - |
931
+ | 5.0365 | 37300 | 0.0038 | - |
932
+ | 5.0432 | 37350 | 0.0104 | - |
933
+ | 5.0500 | 37400 | 0.0031 | - |
934
+ | 5.0567 | 37450 | 0.0035 | - |
935
+ | 5.0635 | 37500 | 0.0067 | - |
936
+ | 5.0702 | 37550 | 0.005 | - |
937
+ | 5.0770 | 37600 | 0.0033 | - |
938
+ | 5.0837 | 37650 | 0.0033 | - |
939
+ | 5.0905 | 37700 | 0.0061 | - |
940
+ | 5.0972 | 37750 | 0.0019 | - |
941
+ | 5.1040 | 37800 | 0.0008 | - |
942
+ | 5.1107 | 37850 | 0.0127 | - |
943
+ | 5.1175 | 37900 | 0.0097 | - |
944
+ | 5.1242 | 37950 | 0.0026 | - |
945
+ | 5.1310 | 38000 | 0.002 | - |
946
+ | 5.1377 | 38050 | 0.0063 | - |
947
+ | 5.1445 | 38100 | 0.0053 | - |
948
+ | 5.1512 | 38150 | 0.0034 | - |
949
+ | 5.1580 | 38200 | 0.0096 | - |
950
+ | 5.1647 | 38250 | 0.006 | - |
951
+ | 5.1715 | 38300 | 0.0098 | - |
952
+ | 5.1782 | 38350 | 0.0047 | - |
953
+ | 5.1850 | 38400 | 0.0038 | - |
954
+ | 5.1917 | 38450 | 0.0052 | - |
955
+ | 5.1985 | 38500 | 0.0116 | - |
956
+ | 5.2052 | 38550 | 0.0014 | - |
957
+ | 5.2120 | 38600 | 0.003 | - |
958
+ | 5.2187 | 38650 | 0.0044 | - |
959
+ | 5.2255 | 38700 | 0.0013 | - |
960
+ | 5.2322 | 38750 | 0.0023 | - |
961
+ | 5.2390 | 38800 | 0.0038 | - |
962
+ | 5.2457 | 38850 | 0.0047 | - |
963
+ | 5.2525 | 38900 | 0.0007 | - |
964
+ | 5.2592 | 38950 | 0.0114 | - |
965
+ | 5.2660 | 39000 | 0.0045 | - |
966
+ | 5.2728 | 39050 | 0.0095 | - |
967
+ | 5.2795 | 39100 | 0.0042 | - |
968
+ | 5.2863 | 39150 | 0.0043 | - |
969
+ | 5.2930 | 39200 | 0.0029 | - |
970
+ | 5.2998 | 39250 | 0.0018 | - |
971
+ | 5.3065 | 39300 | 0.0042 | - |
972
+ | 5.3133 | 39350 | 0.0005 | - |
973
+ | 5.3200 | 39400 | 0.0057 | - |
974
+ | 5.3268 | 39450 | 0.0009 | - |
975
+ | 5.3335 | 39500 | 0.004 | - |
976
+ | 5.3403 | 39550 | 0.0052 | - |
977
+ | 5.3470 | 39600 | 0.0021 | - |
978
+ | 5.3538 | 39650 | 0.0043 | - |
979
+ | 5.3605 | 39700 | 0.0016 | - |
980
+ | 5.3673 | 39750 | 0.0014 | - |
981
+ | 5.3740 | 39800 | 0.0024 | - |
982
+ | 5.3808 | 39850 | 0.0048 | - |
983
+ | 5.3875 | 39900 | 0.002 | - |
984
+ | 5.3943 | 39950 | 0.0033 | - |
985
+ | 5.4010 | 40000 | 0.0098 | - |
986
+ | 5.4078 | 40050 | 0.0009 | - |
987
+ | 5.4145 | 40100 | 0.0053 | - |
988
+ | 5.4213 | 40150 | 0.0019 | - |
989
+ | 5.4280 | 40200 | 0.0036 | - |
990
+ | 5.4348 | 40250 | 0.0014 | - |
991
+ | 5.4415 | 40300 | 0.0007 | - |
992
+ | 5.4483 | 40350 | 0.0053 | - |
993
+ | 5.4550 | 40400 | 0.0022 | - |
994
+ | 5.4618 | 40450 | 0.002 | - |
995
+ | 5.4685 | 40500 | 0.0068 | - |
996
+ | 5.4753 | 40550 | 0.0035 | - |
997
+ | 5.4820 | 40600 | 0.0018 | - |
998
+ | 5.4888 | 40650 | 0.0013 | - |
999
+ | 5.4955 | 40700 | 0.0022 | - |
1000
+ | 5.5023 | 40750 | 0.0101 | - |
1001
+ | 5.5090 | 40800 | 0.0069 | - |
1002
+ | 5.5158 | 40850 | 0.0066 | - |
1003
+ | 5.5225 | 40900 | 0.0061 | - |
1004
+ | 5.5293 | 40950 | 0.0037 | - |
1005
+ | 5.5361 | 41000 | 0.006 | - |
1006
+ | 5.5428 | 41050 | 0.0028 | - |
1007
+ | 5.5496 | 41100 | 0.0063 | - |
1008
+ | 5.5563 | 41150 | 0.0031 | - |
1009
+ | 5.5631 | 41200 | 0.0047 | - |
1010
+ | 5.5698 | 41250 | 0.0008 | - |
1011
+ | 5.5766 | 41300 | 0.0033 | - |
1012
+ | 5.5833 | 41350 | 0.0077 | - |
1013
+ | 5.5901 | 41400 | 0.0051 | - |
1014
+ | 5.5968 | 41450 | 0.0009 | - |
1015
+ | 5.6036 | 41500 | 0.0027 | - |
1016
+ | 5.6103 | 41550 | 0.0102 | - |
1017
+ | 5.6171 | 41600 | 0.0028 | - |
1018
+ | 5.6238 | 41650 | 0.0087 | - |
1019
+ | 5.6306 | 41700 | 0.0063 | - |
1020
+ | 5.6373 | 41750 | 0.0024 | - |
1021
+ | 5.6441 | 41800 | 0.0044 | - |
1022
+ | 5.6508 | 41850 | 0.0066 | - |
1023
+ | 5.6576 | 41900 | 0.0089 | - |
1024
+ | 5.6643 | 41950 | 0.0049 | - |
1025
+ | 5.6711 | 42000 | 0.0065 | - |
1026
+ | 5.6778 | 42050 | 0.001 | - |
1027
+ | 5.6846 | 42100 | 0.0062 | - |
1028
+ | 5.6913 | 42150 | 0.0053 | - |
1029
+ | 5.6981 | 42200 | 0.0044 | - |
1030
+ | 5.7048 | 42250 | 0.0054 | - |
1031
+ | 5.7116 | 42300 | 0.0046 | - |
1032
+ | 5.7183 | 42350 | 0.0047 | - |
1033
+ | 5.7251 | 42400 | 0.0037 | - |
1034
+ | 5.7318 | 42450 | 0.0024 | - |
1035
+ | 5.7386 | 42500 | 0.0044 | - |
1036
+ | 5.7453 | 42550 | 0.0079 | - |
1037
+ | 5.7521 | 42600 | 0.0052 | - |
1038
+ | 5.7588 | 42650 | 0.0014 | - |
1039
+ | 5.7656 | 42700 | 0.0058 | - |
1040
+ | 5.7723 | 42750 | 0.0015 | - |
1041
+ | 5.7791 | 42800 | 0.0053 | - |
1042
+ | 5.7858 | 42850 | 0.0037 | - |
1043
+ | 5.7926 | 42900 | 0.0056 | - |
1044
+ | 5.7994 | 42950 | 0.0028 | - |
1045
+ | 5.8061 | 43000 | 0.0037 | - |
1046
+ | 5.8129 | 43050 | 0.0084 | - |
1047
+ | 5.8196 | 43100 | 0.0036 | - |
1048
+ | 5.8264 | 43150 | 0.001 | - |
1049
+ | 5.8331 | 43200 | 0.0053 | - |
1050
+ | 5.8399 | 43250 | 0.0071 | - |
1051
+ | 5.8466 | 43300 | 0.0017 | - |
1052
+ | 5.8534 | 43350 | 0.0026 | - |
1053
+ | 5.8601 | 43400 | 0.0001 | - |
1054
+ | 5.8669 | 43450 | 0.0049 | - |
1055
+ | 5.8736 | 43500 | 0.0052 | - |
1056
+ | 5.8804 | 43550 | 0.0043 | - |
1057
+ | 5.8871 | 43600 | 0.0045 | - |
1058
+ | 5.8939 | 43650 | 0.0005 | - |
1059
+ | 5.9006 | 43700 | 0.0029 | - |
1060
+ | 5.9074 | 43750 | 0.004 | - |
1061
+ | 5.9141 | 43800 | 0.0031 | - |
1062
+ | 5.9209 | 43850 | 0.0058 | - |
1063
+ | 5.9276 | 43900 | 0.0037 | - |
1064
+ | 5.9344 | 43950 | 0.0034 | - |
1065
+ | 5.9411 | 44000 | 0.0028 | - |
1066
+ | 5.9479 | 44050 | 0.003 | - |
1067
+ | 5.9546 | 44100 | 0.0056 | - |
1068
+ | 5.9614 | 44150 | 0.0033 | - |
1069
+ | 5.9681 | 44200 | 0.0016 | - |
1070
+ | 5.9749 | 44250 | 0.0052 | - |
1071
+ | 5.9816 | 44300 | 0.0004 | - |
1072
+ | 5.9884 | 44350 | 0.0019 | - |
1073
+ | 5.9951 | 44400 | 0.0014 | - |
1074
+ | 6.0019 | 44450 | 0.0077 | - |
1075
+ | 6.0086 | 44500 | 0.0008 | - |
1076
+ | 6.0154 | 44550 | 0.0057 | - |
1077
+ | 6.0221 | 44600 | 0.0033 | - |
1078
+ | 6.0289 | 44650 | 0.0026 | - |
1079
+ | 6.0356 | 44700 | 0.0036 | - |
1080
+ | 6.0424 | 44750 | 0.0005 | - |
1081
+ | 6.0491 | 44800 | 0.0086 | - |
1082
+ | 6.0559 | 44850 | 0.0056 | - |
1083
+ | 6.0627 | 44900 | 0.0038 | - |
1084
+ | 6.0694 | 44950 | 0.0074 | - |
1085
+ | 6.0762 | 45000 | 0.0035 | - |
1086
+ | 6.0829 | 45050 | 0.0033 | - |
1087
+ | 6.0897 | 45100 | 0.0078 | - |
1088
+ | 6.0964 | 45150 | 0.0032 | - |
1089
+ | 6.1032 | 45200 | 0.0047 | - |
1090
+ | 6.1099 | 45250 | 0.0016 | - |
1091
+ | 6.1167 | 45300 | 0.0034 | - |
1092
+ | 6.1234 | 45350 | 0.0011 | - |
1093
+ | 6.1302 | 45400 | 0.0052 | - |
1094
+ | 6.1369 | 45450 | 0.0064 | - |
1095
+ | 6.1437 | 45500 | 0.0045 | - |
1096
+ | 6.1504 | 45550 | 0.001 | - |
1097
+ | 6.1572 | 45600 | 0.0053 | - |
1098
+ | 6.1639 | 45650 | 0.0038 | - |
1099
+ | 6.1707 | 45700 | 0.0032 | - |
1100
+ | 6.1774 | 45750 | 0.0037 | - |
1101
+ | 6.1842 | 45800 | 0.0023 | - |
1102
+ | 6.1909 | 45850 | 0.0025 | - |
1103
+ | 6.1977 | 45900 | 0.0038 | - |
1104
+ | 6.2044 | 45950 | 0.0043 | - |
1105
+ | 6.2112 | 46000 | 0.0058 | - |
1106
+ | 6.2179 | 46050 | 0.0006 | - |
1107
+ | 6.2247 | 46100 | 0.0054 | - |
1108
+ | 6.2314 | 46150 | 0.0073 | - |
1109
+ | 6.2382 | 46200 | 0.0086 | - |
1110
+ | 6.2449 | 46250 | 0.0012 | - |
1111
+ | 6.2517 | 46300 | 0.0032 | - |
1112
+ | 6.2584 | 46350 | 0.0054 | - |
1113
+ | 6.2652 | 46400 | 0.0112 | - |
1114
+ | 6.2719 | 46450 | 0.0035 | - |
1115
+ | 6.2787 | 46500 | 0.0047 | - |
1116
+ | 6.2854 | 46550 | 0.0048 | - |
1117
+ | 6.2922 | 46600 | 0.0021 | - |
1118
+ | 6.2989 | 46650 | 0.005 | - |
1119
+ | 6.3057 | 46700 | 0.0012 | - |
1120
+ | 6.3124 | 46750 | 0.0032 | - |
1121
+ | 6.3192 | 46800 | 0.0013 | - |
1122
+ | 6.3260 | 46850 | 0.0011 | - |
1123
+ | 6.3327 | 46900 | 0.0097 | - |
1124
+ | 6.3395 | 46950 | 0.0026 | - |
1125
+ | 6.3462 | 47000 | 0.0018 | - |
1126
+ | 6.3530 | 47050 | 0.0044 | - |
1127
+ | 6.3597 | 47100 | 0.0044 | - |
1128
+ | 6.3665 | 47150 | 0.0037 | - |
1129
+ | 6.3732 | 47200 | 0.0038 | - |
1130
+ | 6.3800 | 47250 | 0.0016 | - |
1131
+ | 6.3867 | 47300 | 0.0053 | - |
1132
+ | 6.3935 | 47350 | 0.0015 | - |
1133
+ | 6.4002 | 47400 | 0.0017 | - |
1134
+ | 6.4070 | 47450 | 0.0033 | - |
1135
+ | 6.4137 | 47500 | 0.0077 | - |
1136
+ | 6.4205 | 47550 | 0.0096 | - |
1137
+ | 6.4272 | 47600 | 0.0026 | - |
1138
+ | 6.4340 | 47650 | 0.0022 | - |
1139
+ | 6.4407 | 47700 | 0.0016 | - |
1140
+ | 6.4475 | 47750 | 0.0005 | - |
1141
+ | 6.4542 | 47800 | 0.0032 | - |
1142
+ | 6.4610 | 47850 | 0.009 | - |
1143
+ | 6.4677 | 47900 | 0.0026 | - |
1144
+ | 6.4745 | 47950 | 0.0043 | - |
1145
+ | 6.4812 | 48000 | 0.0041 | - |
1146
+ | 6.4880 | 48050 | 0.0093 | - |
1147
+ | 6.4947 | 48100 | 0.0036 | - |
1148
+ | 6.5015 | 48150 | 0.0068 | - |
1149
+ | 6.5082 | 48200 | 0.0033 | - |
1150
+ | 6.5150 | 48250 | 0.0043 | - |
1151
+ | 6.5217 | 48300 | 0.0013 | - |
1152
+ | 6.5285 | 48350 | 0.0071 | - |
1153
+ | 6.5352 | 48400 | 0.0035 | - |
1154
+ | 6.5420 | 48450 | 0.0 | - |
1155
+ | 6.5487 | 48500 | 0.0058 | - |
1156
+ | 6.5555 | 48550 | 0.0056 | - |
1157
+ | 6.5622 | 48600 | 0.0081 | - |
1158
+ | 6.5690 | 48650 | 0.0048 | - |
1159
+ | 6.5757 | 48700 | 0.0078 | - |
1160
+ | 6.5825 | 48750 | 0.0044 | - |
1161
+ | 6.5893 | 48800 | 0.0039 | - |
1162
+ | 6.5960 | 48850 | 0.0053 | - |
1163
+ | 6.6028 | 48900 | 0.001 | - |
1164
+ | 6.6095 | 48950 | 0.0061 | - |
1165
+ | 6.6163 | 49000 | 0.0006 | - |
1166
+ | 6.6230 | 49050 | 0.0055 | - |
1167
+ | 6.6298 | 49100 | 0.01 | - |
1168
+ | 6.6365 | 49150 | 0.0091 | - |
1169
+ | 6.6433 | 49200 | 0.0012 | - |
1170
+ | 6.6500 | 49250 | 0.0037 | - |
1171
+ | 6.6568 | 49300 | 0.0054 | - |
1172
+ | 6.6635 | 49350 | 0.0071 | - |
1173
+ | 6.6703 | 49400 | 0.0059 | - |
1174
+ | 6.6770 | 49450 | 0.0012 | - |
1175
+ | 6.6838 | 49500 | 0.0012 | - |
1176
+ | 6.6905 | 49550 | 0.009 | - |
1177
+ | 6.6973 | 49600 | 0.0072 | - |
1178
+ | 6.7040 | 49650 | 0.0056 | - |
1179
+ | 6.7108 | 49700 | 0.004 | - |
1180
+ | 6.7175 | 49750 | 0.007 | - |
1181
+ | 6.7243 | 49800 | 0.0053 | - |
1182
+ | 6.7310 | 49850 | 0.0009 | - |
1183
+ | 6.7378 | 49900 | 0.0079 | - |
1184
+ | 6.7445 | 49950 | 0.0055 | - |
1185
+ | 6.7513 | 50000 | 0.0017 | - |
1186
+ | 6.7580 | 50050 | 0.0093 | - |
1187
+ | 6.7648 | 50100 | 0.0013 | - |
1188
+ | 6.7715 | 50150 | 0.004 | - |
1189
+ | 6.7783 | 50200 | 0.0031 | - |
1190
+ | 6.7850 | 50250 | 0.0 | - |
1191
+ | 6.7918 | 50300 | 0.004 | - |
1192
+ | 6.7985 | 50350 | 0.0043 | - |
1193
+ | 6.8053 | 50400 | 0.002 | - |
1194
+ | 6.8120 | 50450 | 0.0059 | - |
1195
+ | 6.8188 | 50500 | 0.0063 | - |
1196
+ | 6.8255 | 50550 | 0.0006 | - |
1197
+ | 6.8323 | 50600 | 0.0061 | - |
1198
+ | 6.8390 | 50650 | 0.0026 | - |
1199
+ | 6.8458 | 50700 | 0.0031 | - |
1200
+ | 6.8526 | 50750 | 0.002 | - |
1201
+ | 6.8593 | 50800 | 0.0007 | - |
1202
+ | 6.8661 | 50850 | 0.003 | - |
1203
+ | 6.8728 | 50900 | 0.0052 | - |
1204
+ | 6.8796 | 50950 | 0.0063 | - |
1205
+ | 6.8863 | 51000 | 0.0012 | - |
1206
+ | 6.8931 | 51050 | 0.0034 | - |
1207
+ | 6.8998 | 51100 | 0.0083 | - |
1208
+ | 6.9066 | 51150 | 0.0027 | - |
1209
+ | 6.9133 | 51200 | 0.007 | - |
1210
+ | 6.9201 | 51250 | 0.0018 | - |
1211
+ | 6.9268 | 51300 | 0.0049 | - |
1212
+ | 6.9336 | 51350 | 0.0063 | - |
1213
+ | 6.9403 | 51400 | 0.0027 | - |
1214
+ | 6.9471 | 51450 | 0.0078 | - |
1215
+ | 6.9538 | 51500 | 0.0051 | - |
1216
+ | 6.9606 | 51550 | 0.0061 | - |
1217
+ | 6.9673 | 51600 | 0.0023 | - |
1218
+ | 6.9741 | 51650 | 0.0022 | - |
1219
+ | 6.9808 | 51700 | 0.0027 | - |
1220
+ | 6.9876 | 51750 | 0.0017 | - |
1221
+ | 6.9943 | 51800 | 0.0029 | - |
1222
+ | 7.0011 | 51850 | 0.0026 | - |
1223
+ | 7.0078 | 51900 | 0.0013 | - |
1224
+ | 7.0146 | 51950 | 0.0035 | - |
1225
+ | 7.0213 | 52000 | 0.0022 | - |
1226
+ | 7.0281 | 52050 | 0.0072 | - |
1227
+ | 7.0348 | 52100 | 0.0031 | - |
1228
+ | 7.0416 | 52150 | 0.0045 | - |
1229
+ | 7.0483 | 52200 | 0.0061 | - |
1230
+ | 7.0551 | 52250 | 0.0026 | - |
1231
+ | 7.0618 | 52300 | 0.0031 | - |
1232
+ | 7.0686 | 52350 | 0.0082 | - |
1233
+ | 7.0753 | 52400 | 0.0073 | - |
1234
+ | 7.0821 | 52450 | 0.0022 | - |
1235
+ | 7.0888 | 52500 | 0.0026 | - |
1236
+ | 7.0956 | 52550 | 0.0005 | - |
1237
+ | 7.1023 | 52600 | 0.0018 | - |
1238
+ | 7.1091 | 52650 | 0.0012 | - |
1239
+ | 7.1159 | 52700 | 0.0053 | - |
1240
+ | 7.1226 | 52750 | 0.002 | - |
1241
+ | 7.1294 | 52800 | 0.0058 | - |
1242
+ | 7.1361 | 52850 | 0.0025 | - |
1243
+ | 7.1429 | 52900 | 0.0016 | - |
1244
+ | 7.1496 | 52950 | 0.0005 | - |
1245
+ | 7.1564 | 53000 | 0.0056 | - |
1246
+ | 7.1631 | 53050 | 0.0022 | - |
1247
+ | 7.1699 | 53100 | 0.0048 | - |
1248
+ | 7.1766 | 53150 | 0.0124 | - |
1249
+ | 7.1834 | 53200 | 0.0065 | - |
1250
+ | 7.1901 | 53250 | 0.0079 | - |
1251
+ | 7.1969 | 53300 | 0.0077 | - |
1252
+ | 7.2036 | 53350 | 0.0009 | - |
1253
+ | 7.2104 | 53400 | 0.0039 | - |
1254
+ | 7.2171 | 53450 | 0.0045 | - |
1255
+ | 7.2239 | 53500 | 0.0036 | - |
1256
+ | 7.2306 | 53550 | 0.005 | - |
1257
+ | 7.2374 | 53600 | 0.0022 | - |
1258
+ | 7.2441 | 53650 | 0.0039 | - |
1259
+ | 7.2509 | 53700 | 0.007 | - |
1260
+ | 7.2576 | 53750 | 0.0032 | - |
1261
+ | 7.2644 | 53800 | 0.0083 | - |
1262
+ | 7.2711 | 53850 | 0.0042 | - |
1263
+ | 7.2779 | 53900 | 0.0073 | - |
1264
+ | 7.2846 | 53950 | 0.001 | - |
1265
+ | 7.2914 | 54000 | 0.0082 | - |
1266
+ | 7.2981 | 54050 | 0.0 | - |
1267
+ | 7.3049 | 54100 | 0.0034 | - |
1268
+ | 7.3116 | 54150 | 0.0015 | - |
1269
+ | 7.3184 | 54200 | 0.0009 | - |
1270
+ | 7.3251 | 54250 | 0.0051 | - |
1271
+ | 7.3319 | 54300 | 0.0024 | - |
1272
+ | 7.3386 | 54350 | 0.0042 | - |
1273
+ | 7.3454 | 54400 | 0.0058 | - |
1274
+ | 7.3521 | 54450 | 0.0038 | - |
1275
+ | 7.3589 | 54500 | 0.0055 | - |
1276
+ | 7.3656 | 54550 | 0.0027 | - |
1277
+ | 7.3724 | 54600 | 0.0008 | - |
1278
+ | 7.3792 | 54650 | 0.008 | - |
1279
+ | 7.3859 | 54700 | 0.0048 | - |
1280
+ | 7.3927 | 54750 | 0.0031 | - |
1281
+ | 7.3994 | 54800 | 0.0048 | - |
1282
+ | 7.4062 | 54850 | 0.0031 | - |
1283
+ | 7.4129 | 54900 | 0.0064 | - |
1284
+ | 7.4197 | 54950 | 0.0074 | - |
1285
+ | 7.4264 | 55000 | 0.0022 | - |
1286
+ | 7.4332 | 55050 | 0.0037 | - |
1287
+ | 7.4399 | 55100 | 0.0047 | - |
1288
+ | 7.4467 | 55150 | 0.0075 | - |
1289
+ | 7.4534 | 55200 | 0.0025 | - |
1290
+ | 7.4602 | 55250 | 0.0063 | - |
1291
+ | 7.4669 | 55300 | 0.0036 | - |
1292
+ | 7.4737 | 55350 | 0.0036 | - |
1293
+ | 7.4804 | 55400 | 0.0063 | - |
1294
+ | 7.4872 | 55450 | 0.0012 | - |
1295
+ | 7.4939 | 55500 | 0.0093 | - |
1296
+ | 7.5007 | 55550 | 0.0024 | - |
1297
+ | 7.5074 | 55600 | 0.002 | - |
1298
+ | 7.5142 | 55650 | 0.0009 | - |
1299
+ | 7.5209 | 55700 | 0.0062 | - |
1300
+ | 7.5277 | 55750 | 0.005 | - |
1301
+ | 7.5344 | 55800 | 0.0038 | - |
1302
+ | 7.5412 | 55850 | 0.0068 | - |
1303
+ | 7.5479 | 55900 | 0.0028 | - |
1304
+ | 7.5547 | 55950 | 0.005 | - |
1305
+ | 7.5614 | 56000 | 0.0026 | - |
1306
+ | 7.5682 | 56050 | 0.0045 | - |
1307
+ | 7.5749 | 56100 | 0.0043 | - |
1308
+ | 7.5817 | 56150 | 0.0013 | - |
1309
+ | 7.5884 | 56200 | 0.0018 | - |
1310
+ | 7.5952 | 56250 | 0.0008 | - |
1311
+ | 7.6019 | 56300 | 0.0003 | - |
1312
+ | 7.6087 | 56350 | 0.0056 | - |
1313
+ | 7.6154 | 56400 | 0.0068 | - |
1314
+ | 7.6222 | 56450 | 0.0074 | - |
1315
+ | 7.6289 | 56500 | 0.0041 | - |
1316
+ | 7.6357 | 56550 | 0.0046 | - |
1317
+ | 7.6425 | 56600 | 0.0029 | - |
1318
+ | 7.6492 | 56650 | 0.0056 | - |
1319
+ | 7.6560 | 56700 | 0.0021 | - |
1320
+ | 7.6627 | 56750 | 0.0038 | - |
1321
+ | 7.6695 | 56800 | 0.0046 | - |
1322
+ | 7.6762 | 56850 | 0.0013 | - |
1323
+ | 7.6830 | 56900 | 0.0033 | - |
1324
+ | 7.6897 | 56950 | 0.0038 | - |
1325
+ | 7.6965 | 57000 | 0.0045 | - |
1326
+ | 7.7032 | 57050 | 0.006 | - |
1327
+ | 7.7100 | 57100 | 0.0043 | - |
1328
+ | 7.7167 | 57150 | 0.0046 | - |
1329
+ | 7.7235 | 57200 | 0.001 | - |
1330
+ | 7.7302 | 57250 | 0.0084 | - |
1331
+ | 7.7370 | 57300 | 0.004 | - |
1332
+ | 7.7437 | 57350 | 0.0014 | - |
1333
+ | 7.7505 | 57400 | 0.0071 | - |
1334
+ | 7.7572 | 57450 | 0.0082 | - |
1335
+ | 7.7640 | 57500 | 0.0094 | - |
1336
+ | 7.7707 | 57550 | 0.0021 | - |
1337
+ | 7.7775 | 57600 | 0.0025 | - |
1338
+ | 7.7842 | 57650 | 0.007 | - |
1339
+ | 7.7910 | 57700 | 0.0031 | - |
1340
+ | 7.7977 | 57750 | 0.0041 | - |
1341
+ | 7.8045 | 57800 | 0.0042 | - |
1342
+ | 7.8112 | 57850 | 0.0029 | - |
1343
+ | 7.8180 | 57900 | 0.0077 | - |
1344
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1345
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1346
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1347
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1348
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1349
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1350
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1351
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1352
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1353
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1354
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1355
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1356
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1357
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1358
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1359
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1360
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1361
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1362
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1363
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1364
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1365
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1366
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1367
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1368
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1369
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1370
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1371
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1372
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1373
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1374
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1375
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1376
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1377
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1378
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1379
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1380
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1381
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1382
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1383
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1384
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1385
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1386
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1387
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1388
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1390
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1394
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1395
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1396
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1398
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1400
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1402
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1403
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1404
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1405
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1406
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1407
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1409
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1411
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1415
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1416
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1417
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1418
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1419
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1420
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1421
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1422
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1423
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1424
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1425
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1426
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1427
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1428
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1429
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1430
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1431
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1432
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1433
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1434
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1435
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1436
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1437
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1438
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1439
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1440
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1441
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1442
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1443
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1444
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1445
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1446
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1447
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1448
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1449
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1450
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1451
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1452
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1453
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1454
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1455
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1456
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1457
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1458
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1459
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1460
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1461
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1462
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1463
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1464
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1465
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1466
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1467
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1468
+ | 8.6619 | 64150 | 0.0013 | - |
1469
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1470
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1471
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1472
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1473
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1474
+ | 8.7024 | 64450 | 0.0009 | - |
1475
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1476
+ | 8.7159 | 64550 | 0.0017 | - |
1477
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1478
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1479
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1480
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1481
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1482
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1483
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1484
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1485
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1486
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1487
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1488
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1489
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1490
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1491
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1492
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1493
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1494
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1495
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1496
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1497
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1498
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1499
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1500
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1501
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1502
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1503
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1504
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1505
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1506
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1507
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1508
+ | 8.9319 | 66150 | 0.0001 | - |
1509
+ | 8.9387 | 66200 | 0.006 | - |
1510
+ | 8.9454 | 66250 | 0.0005 | - |
1511
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1512
+ | 8.9590 | 66350 | 0.002 | - |
1513
+ | 8.9657 | 66400 | 0.0032 | - |
1514
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1515
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1516
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1517
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1518
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1519
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1520
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1521
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1522
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1523
+ | 9.0332 | 66900 | 0.0026 | - |
1524
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1525
+ | 9.0467 | 67000 | 0.0009 | - |
1526
+ | 9.0535 | 67050 | 0.0005 | - |
1527
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1528
+ | 9.0670 | 67150 | 0.0003 | - |
1529
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1530
+ | 9.0805 | 67250 | 0.0004 | - |
1531
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1532
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1533
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1534
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1535
+ | 9.1142 | 67500 | 0.0029 | - |
1536
+ | 9.1210 | 67550 | 0.0027 | - |
1537
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1538
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1539
+ | 9.1412 | 67700 | 0.004 | - |
1540
+ | 9.1480 | 67750 | 0.0034 | - |
1541
+ | 9.1547 | 67800 | 0.0036 | - |
1542
+ | 9.1615 | 67850 | 0.0095 | - |
1543
+ | 9.1682 | 67900 | 0.0052 | - |
1544
+ | 9.1750 | 67950 | 0.0004 | - |
1545
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1546
+ | 9.1885 | 68050 | 0.0058 | - |
1547
+ | 9.1952 | 68100 | 0.005 | - |
1548
+ | 9.2020 | 68150 | 0.0004 | - |
1549
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1550
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1551
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1552
+ | 9.2290 | 68350 | 0.0007 | - |
1553
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1554
+ | 9.2425 | 68450 | 0.0016 | - |
1555
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1556
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1557
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1558
+ | 9.2695 | 68650 | 0.0045 | - |
1559
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1560
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1561
+ | 9.2898 | 68800 | 0.0025 | - |
1562
+ | 9.2965 | 68850 | 0.0036 | - |
1563
+ | 9.3033 | 68900 | 0.0039 | - |
1564
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1565
+ | 9.3168 | 69000 | 0.0026 | - |
1566
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1567
+ | 9.3303 | 69100 | 0.0094 | - |
1568
+ | 9.3370 | 69150 | 0.0028 | - |
1569
+ | 9.3438 | 69200 | 0.0045 | - |
1570
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1571
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1572
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1573
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1574
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1575
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1576
+ | 9.3910 | 69550 | 0.0035 | - |
1577
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1578
+ | 9.4045 | 69650 | 0.0022 | - |
1579
+ | 9.4113 | 69700 | 0.0044 | - |
1580
+ | 9.4180 | 69750 | 0.0016 | - |
1581
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1582
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1583
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1584
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1585
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1586
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1587
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1588
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1589
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1590
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1591
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1592
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1593
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1594
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1595
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1596
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1597
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1598
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1599
+ | 9.5463 | 70700 | 0.0007 | - |
1600
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1601
+ | 9.5598 | 70800 | 0.003 | - |
1602
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1603
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1604
+ | 9.5801 | 70950 | 0.0083 | - |
1605
+ | 9.5868 | 71000 | 0.003 | - |
1606
+ | 9.5936 | 71050 | 0.0036 | - |
1607
+ | 9.6003 | 71100 | 0.0031 | - |
1608
+ | 9.6071 | 71150 | 0.0013 | - |
1609
+ | 9.6138 | 71200 | 0.0047 | - |
1610
+ | 9.6206 | 71250 | 0.0036 | - |
1611
+ | 9.6273 | 71300 | 0.0051 | - |
1612
+ | 9.6341 | 71350 | 0.0015 | - |
1613
+ | 9.6408 | 71400 | 0.0025 | - |
1614
+ | 9.6476 | 71450 | 0.0079 | - |
1615
+ | 9.6543 | 71500 | 0.0033 | - |
1616
+ | 9.6611 | 71550 | 0.0018 | - |
1617
+ | 9.6678 | 71600 | 0.0055 | - |
1618
+ | 9.6746 | 71650 | 0.0064 | - |
1619
+ | 9.6813 | 71700 | 0.0076 | - |
1620
+ | 9.6881 | 71750 | 0.0035 | - |
1621
+ | 9.6948 | 71800 | 0.0044 | - |
1622
+ | 9.7016 | 71850 | 0.0 | - |
1623
+ | 9.7083 | 71900 | 0.0029 | - |
1624
+ | 9.7151 | 71950 | 0.0018 | - |
1625
+ | 9.7218 | 72000 | 0.0009 | - |
1626
+ | 9.7286 | 72050 | 0.0008 | - |
1627
+ | 9.7353 | 72100 | 0.0 | - |
1628
+ | 9.7421 | 72150 | 0.0008 | - |
1629
+ | 9.7489 | 72200 | 0.0067 | - |
1630
+ | 9.7556 | 72250 | 0.0032 | - |
1631
+ | 9.7624 | 72300 | 0.0022 | - |
1632
+ | 9.7691 | 72350 | 0.0052 | - |
1633
+ | 9.7759 | 72400 | 0.0018 | - |
1634
+ | 9.7826 | 72450 | 0.0073 | - |
1635
+ | 9.7894 | 72500 | 0.0044 | - |
1636
+ | 9.7961 | 72550 | 0.0039 | - |
1637
+ | 9.8029 | 72600 | 0.0005 | - |
1638
+ | 9.8096 | 72650 | 0.0066 | - |
1639
+ | 9.8164 | 72700 | 0.0026 | - |
1640
+ | 9.8231 | 72750 | 0.0072 | - |
1641
+ | 9.8299 | 72800 | 0.009 | - |
1642
+ | 9.8366 | 72850 | 0.0042 | - |
1643
+ | 9.8434 | 72900 | 0.0027 | - |
1644
+ | 9.8501 | 72950 | 0.0073 | - |
1645
+ | 9.8569 | 73000 | 0.0069 | - |
1646
+ | 9.8636 | 73050 | 0.0015 | - |
1647
+ | 9.8704 | 73100 | 0.009 | - |
1648
+ | 9.8771 | 73150 | 0.0049 | - |
1649
+ | 9.8839 | 73200 | 0.0038 | - |
1650
+ | 9.8906 | 73250 | 0.0044 | - |
1651
+ | 9.8974 | 73300 | 0.0041 | - |
1652
+ | 9.9041 | 73350 | 0.0044 | - |
1653
+ | 9.9109 | 73400 | 0.0053 | - |
1654
+ | 9.9176 | 73450 | 0.0021 | - |
1655
+ | 9.9244 | 73500 | 0.007 | - |
1656
+ | 9.9311 | 73550 | 0.0062 | - |
1657
+ | 9.9379 | 73600 | 0.0022 | - |
1658
+ | 9.9446 | 73650 | 0.0023 | - |
1659
+ | 9.9514 | 73700 | 0.007 | - |
1660
+ | 9.9581 | 73750 | 0.0032 | - |
1661
+ | 9.9649 | 73800 | 0.0079 | - |
1662
+ | 9.9716 | 73850 | 0.0007 | - |
1663
+ | 9.9784 | 73900 | 0.0063 | - |
1664
+ | 9.9851 | 73950 | 0.0003 | - |
1665
+ | 9.9919 | 74000 | 0.0114 | - |
1666
+ | 9.9986 | 74050 | 0.0068 | - |
1667
+
1668
+ ### Framework Versions
1669
+ - Python: 3.10.12
1670
+ - SetFit: 1.1.0.dev0
1671
+ - Sentence Transformers: 3.1.1
1672
+ - Transformers: 4.43.3
1673
+ - PyTorch: 2.4.1+cu121
1674
+ - Datasets: 2.20.0
1675
+ - Tokenizers: 0.19.1
1676
+
1677
+ ## Citation
1678
+
1679
+ ### BibTeX
1680
+ ```bibtex
1681
+ @article{https://doi.org/10.48550/arxiv.2209.11055,
1682
+ doi = {10.48550/ARXIV.2209.11055},
1683
+ url = {https://arxiv.org/abs/2209.11055},
1684
+ author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
1685
+ keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
1686
+ title = {Efficient Few-Shot Learning Without Prompts},
1687
+ publisher = {arXiv},
1688
+ year = {2022},
1689
+ copyright = {Creative Commons Attribution 4.0 International}
1690
+ }
1691
+ ```
1692
+
1693
+ <!--
1694
+ ## Glossary
1695
+
1696
+ *Clearly define terms in order to be accessible across audiences.*
1697
+ -->
1698
+
1699
+ <!--
1700
+ ## Model Card Authors
1701
+
1702
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
1703
+ -->
1704
+
1705
+ <!--
1706
+ ## Model Card Contact
1707
+
1708
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
1709
+ -->
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "klue/roberta-base",
3
+ "architectures": [
4
+ "RobertaModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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