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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:144128
- loss:TripletLoss
base_model: sentence-transformers/all-MiniLM-L12-v2
widget:
- source_sentence: ARKX, the ARK Space Exploration & Innovation ETF, is an actively-managed
fund focused on long-term capital growth by investing at least 80% of its assets
in domestic and foreign equity securities of companies engaged in space exploration
and innovation. The fund targets global companies that lead, enable, or benefit
from technologically advanced products and services beyond Earth's surface. It
includes sectors like orbital and suborbital aerospace, enabling technologies,
and industries benefiting from aerospace activities, such as agriculture, GPS,
and imaging. ARKX typically holds a concentrated portfolio of 40 to 55 securities,
selected through a proprietary methodology that integrates top-down economic analysis,
bottom-up fundamental and quantitative metrics, and ESG considerations. As a non-diversified
ETF, it offers a unique investment opportunity in the burgeoning space exploration
industry.
sentences:
- Northwest Pipe Company, together with its subsidiaries, manufactures and supplies
water related infrastructure products in North America. It operates in two segments,
Engineered Steel Pressure Pipe (SPP) and Precast Infrastructure and Engineered
Systems (Precast). The SPP segment offers large-diameter, high-pressure steel
pipeline systems for use in water infrastructure applications, which are primarily
related to drinking water systems. Its products are also used for hydroelectric
power systems, wastewater systems, and other applications. In addition, this segment
makes products for industrial plant piping systems and certain structural applications.
The Precast segment provides precast and reinforced concrete products, including
manholes, box culverts, vaults, catch basins, oil water separators, pump lift
stations, biofiltration, and other environmental and engineered solutions. The
company sells its water infrastructure products primarily to installation contractors.
Northwest Pipe Company was incorporated in 1966 and is headquartered in Vancouver,
Washington.
- Texas Instruments Incorporated designs, manufactures, and sells semiconductors
to electronics designers and manufacturers worldwide. It operates in two segments,
Analog and Embedded Processing. The Analog segment offers power products to manage
power requirements in various levels using battery-management solutions, DC/DC
switching regulators, AC/DC and isolated controllers and converters, power switches,
linear regulators, voltage supervisors, voltage references, and lighting products.
This segment also provides signal chain products that sense, condition, and measure
signals to allow information to be transferred or converted for further processing
and control for use in end markets, including amplifiers, data converters, interface
products, motor drives, clocks, and sensing products. The Embedded Processing
segment offers microcontrollers that are used in electronic equipment; digital
signal processors for mathematical computations; and applications processors for
specific computing activity. This segment offers products for use in various markets,
such as industrial, automotive, personal electronics, communications equipment,
enterprise systems, and calculators and other. The company also provides DLP products
primarily for use in projectors to create high-definition images; calculators;
and application-specific integrated circuits. It markets and sells its semiconductor
products through direct sales and distributors, as well as through its website.
Texas Instruments Incorporated was founded in 1930 and is headquartered in Dallas,
Texas.
- Rocket Lab USA, Inc., a space company, provides launch services and space systems
solutions for the space and defense industries. The company provides launch services,
spacecraft engineering and design services, spacecraft components, spacecraft
manufacturing, and other spacecraft and on-orbit management solutions; and constellation
management services, as well as designs and manufactures small and medium-class
rockets. It also designs, manufactures, and sells Electron small orbital launch
vehicles and the Photon satellite platforms, as well as developing the Neutron
8-ton payload class launch vehicle; conducts remote launch activities; and designs
and manufactures a range of components and subsystems for the Photon family of
spacecraft and broader merchant spacecraft components. The company serves commercial,
aerospace prime contractors, and government customers. The company was founded
in 2006 and is headquartered in Long Beach, California.
- source_sentence: ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively
managed fund focused on long-term capital growth by investing at least 80% of
its assets in domestic and foreign equity securities of companies involved in
autonomous technology and robotics. Emphasizing disruptive innovation, the fund
targets firms benefiting from advancements in automation, energy, and artificial
intelligence. ARKQ employs its own internal research to identify transformative
businesses, making pure-play portfolio implementation challenging. As a non-diversified
fund, it concentrates its investments in specific sectors, aiming to capitalize
on technological advancements that drive market development.
sentences:
- 'Magna International Inc. designs, engineers, and manufactures components, assemblies,
systems, subsystems, and modules for original equipment manufacturers of vehicles
and light trucks worldwide. It operates through four segments: Body Exteriors
& Structures, Power & Vision, Seating Systems, and Complete Vehicles. The Body
Exteriors & Structures segment provides body and chassis, exterior, and roof systems,
as well as battery enclosures and engineering and testing services, including
fascia and trims, front end modules, front integration panels, liftgate modules,
active aerodynamics, engineered glass, running boards, truck bed access products,
and side doors. The Power & Vision segment offers hybrid and electric drive systems,
motors, inverters, onboard chargers, and e-clutch; dedicated hybrid, dual and
hybrid dual, and manual transmissions; AWD/4WD products and rear drive modules;
transmission, engine, driveline components, engine drive plates, and accessories;
engineering services; advanced driver assistance systems and sensors, and electronic
control units; interior and exterior mirrors, camera and driver monitoring systems
and electronics, actuators, door handles, and overhead consoles; forward, rear,
and auxiliary lighting products; latching, door modules, window, power closure,
and hinges and wire forming systems; and modular and textile folding roofs, and
hard and soft tops. The Seating Systems segment provides seat structures, mechanism
and hardware solutions, and foam and trim products. The Complete Vehicles segment
offers vehicle engineering and manufacturing services. The company also designs,
engineers, and manufactures tooling products. Magna International Inc. was founded
in 1957 and is headquartered in Aurora, Canada.'
- Sony Group Corporation designs, develops, produces, and sells electronic equipment,
instruments, and devices for the consumer, professional, and industrial markets
in Japan, the United States, Europe, China, the Asia-Pacific, and internationally.
The company distributes software titles and add-on content through digital networks;
network services related to game, video, and music content; and home and portable
game consoles, packaged software, and peripheral devices. It also develops, produces,
markets, and distributes recorded music; publishes music; and produces and distributes
animation titles, game applications, and various services for music and visual
products. In addition, the company produces, acquires, and distributes live-action
and animated motion pictures for theatrical release, as well as scripted and animated
series, unscripted reality or light entertainment, daytime serials, game shows,
television movies, and miniseries and other television programs; operates a visual
effects and animation unit; manages a studio facility; and operates television
and digital networks, and post-production facilities. Further, it researches,
develops, designs, produces, markets, distributes, sells, and services televisions,
and video and sound products; interchangeable lens, compact digital, and consumer
and professional video cameras; projectors and medical equipment; mobile phones,
tablets, accessories, and applications; and metal oxide semiconductor image sensors,
charge-coupled devices, integration systems, and other semiconductors. Additionally,
it offers Internet broadband network services; recording media, and storage media
products; and life and non-life insurance, banking, and other services, as well
as creates and distributes content for PCs and mobile phones. The company was
formerly known as Sony Corporation and changed its name to Sony Group Corporation
in April 2021. Sony Group Corporation was incorporated in 1946 and is headquartered
in Tokyo, Japan.
- Dada Nexus Limited operates a platform of local on-demand retail and delivery
in the People's Republic of China. It operates Dada Now, a local on-demand delivery
platform that provides intra-city delivery and last-mile delivery services on
an on-demand basis to chain merchants, small- and medium-sized enterprise merchants,
and individual senders; and JDDJ, a local on-demand retail platform for consumers,
retailers, and brand owner. The company was incorporated in 2014 and is headquartered
in Shanghai, the People's Republic of China.
- source_sentence: ProShares Ultra Financials (UYG) is an ETF that seeks to deliver
twice the daily performance of the S&P Financial Select Sector Index, which is
a market cap-weighted index of financial companies within the S&P 500. This index
includes industries such as banks, financial services, consumer finance, capital
markets, mortgage REITs, and insurance, with constituents rebalanced quarterly.
UYG is designed for short-term trading, utilizing swap agreements and resetting
daily, which can lead to significant differences in long-term returns due to daily
compounding. The fund is non-diversified and not intended for long-term investment.
Prior to March 20, 2023, it tracked the Dow Jones US Financials Index.
sentences:
- 'Huntington Bancshares Incorporated operates as the bank holding company for The
Huntington National Bank that provides commercial, consumer, and mortgage banking
services in the United States. The company operates through four segments: Consumer
and Business Banking; Commercial Banking; Vehicle Finance; and Regional Banking
and The Huntington Private Client Group (RBHPCG). The Consumer and Business Banking
segment offers financial products and services, such as checking accounts, savings
accounts, money market accounts, certificates of deposit, credit cards, and consumer
and small business loans, as well as investment products. This segment also provides
mortgages, insurance, interest rate risk protection, foreign exchange, automated
teller machine, and treasury management services, as well as online, mobile, and
telephone banking services. It serves consumer and small business customers. The
Commercial Banking segment offers regional commercial banking solutions for middle
market businesses, government and public sector entities, and commercial real
estate developers/REITs; and specialty banking solutions for healthcare, technology
and telecommunications, franchise finance, sponsor finance, and global services
industries. It also provides asset finance services; capital raising solutions,
sales and trading, and corporate risk management products; institutional banking
services; and treasury management services. The Vehicle Finance segment provides
financing to consumers for the purchase of automobiles, light-duty trucks, recreational
vehicles, and marine craft at franchised and other select dealerships, as well
as to franchised dealerships for the acquisition of new and used inventory. The
RBHPCG segment offers private banking, wealth and investment management, and retirement
plan services. As of March 18, 2022, the company had approximately 1,000 branches
in 11 states. Huntington Bancshares Incorporated was founded in 1866 and is headquartered
in Columbus, Ohio.'
- 'DXP Enterprises, Inc., together with its subsidiaries, engages in distributing
maintenance, repair, and operating (MRO) products, equipment, and services to
the energy and industrial customers primarily in the United States and Canada.
It operates through three segments: Service Centers (SC), Supply Chain Services
(SCS), and Innovative Pumping Solutions (IPS). The SC segment offers MRO products,
equipment, and integrated services, including technical expertise and logistics
services. It offers a range of MRO products in the rotating equipment, bearing,
power transmission, hose, fluid power, metal working, fastener, industrial supply,
safety products, and safety services categories. This segment serves customers
in the oil and gas, food and beverage, petrochemical, transportation, other general
industrial, mining, construction, chemical, municipal, agriculture, and pulp and
paper industries. The SCS segment manages procurement and inventory management
solutions; and offers outsourced MRO solutions for sourcing MRO products, including
inventory optimization and management, store room management, transaction consolidation
and control, vendor oversight and procurement cost optimization, productivity
improvement, and customized reporting services. Its programs include SmartAgreement,
a procurement solution for various MRO categories; SmartBuy, an on-site or centralized
MRO procurement solution; SmartSource, an on-site procurement and storeroom management
solution; SmartStore, an e-Catalog solution; SmartVend, an industrial dispensing
solution; and SmartServ, an integrated service pump solution. The IPS segment
fabricates and assembles custom-made pump packages, remanufactures pumps, and
manufactures branded private label pumps. The company was founded in 1908 and
is based in Houston, Texas.'
- National Bank Holdings Corporation operates as the bank holding company for NBH
Bank that provides various banking products and financial services to commercial,
business, and consumer clients in the United States. It offers deposit products,
including checking, savings, money market, and other deposit accounts, including
fixed-rate and fixed maturity time deposits. The company also provides commercial
and industrial loans and leases, such as working capital loans, equipment loans,
lender finance loans, food and agriculture loans, government and non-profit loans,
owner occupied commercial real estate loans, and other commercial loans and leases;
non-owner occupied commercial real estate loans consisting of loans on commercial
properties, such as office buildings, warehouse/distribution buildings, multi-family,
hospitality, and retail buildings; small business administration loans to support
manufacturers, distributors, and service providers; term loans, line of credits,
and real estate secured loans; residential real estate loans; and consumer loans.
In addition, it offers treasury management solutions comprising online and mobile
banking, commercial credit card, wire transfer, automated clearing house, electronic
bill payment, lock box, remote deposit capture, merchant processing, cash vault,
controlled disbursements, and fraud prevention services, as well as other auxiliary
services, including account reconciliation, collections, repurchase accounts,
zero balance accounts, and sweep accounts. As of January 20, 2022, the company
operated through a network of 81 banking centers located in Colorado, the greater
Kansas City region, New Mexico, Utah, and Texas. It also operates 121 ATMs. The
company was formerly known as NBH Holdings Corp. and changed its name to National
Bank Holdings Corporation in March 2012. National Bank Holdings Corporation was
incorporated in 2009 and is headquartered in Greenwood Village, Colorado.
- source_sentence: Fidelity Real Estate Investment (FPRO) is an actively managed,
non-transparent ETF that seeks above-average income and long-term capital growth
by investing at least 80% of its assets in securities of companies primarily engaged
in the real estate industry, including both domestic and foreign issuers. Operating
under an exemptive order from the SEC, FPRO is not required to disclose its complete
portfolio holdings daily. Instead, it utilizes the Fidelity non-transparent model,
publishing a Tracking Basket and Tracking Basket Weight Overlap daily to approximate
the fund's performance without revealing its actual holdings, which are disclosed
monthly with a 30-day lag. The fund employs fundamental analysis to select securities,
focusing on financial condition, industry position, and broader market and economic
conditions, and is non-diversified.
sentences:
- Keyence Corporation, together with its subsidiaries, develops, manufactures, and
sells factory automation solutions worldwide. The company offers photoelectric,
fiber optic, laser, positioning, vision, and inductive proximity sensors, as well
as network communication units used for presence/absence and part differentiation
applications. It also provides measurement sensors, such as laser displacement
and profiler, optical/laser micrometer, 3D interference measurement, spectral
interference displacement, and contact displacement/LVDT sensors; and measurement
systems, including optical comparators, 3D scanners, and CMM/laser trackers. In
addition, the company offers safety products comprising safety laser scanners,
light curtains, interlock switches, and controllers to protect operators from
machine hazards; and pressure, flow, level, and temperature sensors for monitoring
equipment processes. Further, it provides static eliminators/ionizers and electrostatic
sensors which protect workers, machinery, and products from the damaging effects
of electrostatic charge; vision systems and sensors, and barcode scanners to perform
automatic inspection and part identification; and programmable logic controllers
and other controls that are used for machine control applications. Additionally,
the company offers laser marking systems/laser markers and industrial continuous
inkjet printers; digital, 3D laser scanning, and fluorescence microscopes, as
well as wide-area 3D measuring systems for industrial and life science applications;
and handheld mobile computers. It serves customers in automotive/chassis assembly,
metals/machining, FPD/glass, semiconductor/ICS, plastic/molding, food/pharmaceutical,
steel, and other industries. Keyence Corporation was founded in 1972 and is headquartered
in Osaka, Japan.
- 'EastGroup Properties, Inc. (NYSE: EGP), an S&P MidCap 400 company, is a self-administered
equity real estate investment trust focused on the development, acquisition and
operation of industrial properties in major Sunbelt markets throughout the United
States with an emphasis in the states of Florida, Texas, Arizona, California and
North Carolina. The Company''s goal is to maximize shareholder value by being
a leading provider in its markets of functional, flexible and quality business
distribution space for location sensitive customers (primarily in the 15,000 to
70,000 square foot range). The Company''s strategy for growth is based on ownership
of premier distribution facilities generally clustered near major transportation
features in supply-constrained submarkets. EastGroup''s portfolio, including development
projects and value-add acquisitions in lease-up and under construction, currently
includes approximately 45.8 million square feet.'
- National Retail Properties invests primarily in high-quality retail properties
subject generally to long-term, net leases. As of September 30, 2020, the company
owned 3,114 properties in 48 states with a gross leasable area of approximately
32.4 million square feet and with a weighted average remaining lease term of 10.7
years.
- source_sentence: Fidelity Real Estate Investment (FPRO) is an actively managed,
non-transparent ETF that seeks above-average income and long-term capital growth
by investing at least 80% of its assets in securities of companies primarily engaged
in the real estate industry, including both domestic and foreign issuers. Operating
under an exemptive order from the SEC, FPRO is not required to disclose its complete
portfolio holdings daily. Instead, it utilizes the Fidelity non-transparent model,
publishing a Tracking Basket and Tracking Basket Weight Overlap daily to approximate
the fund's performance without revealing its actual holdings, which are disclosed
monthly with a 30-day lag. The fund employs fundamental analysis to select securities,
focusing on financial condition, industry position, and broader market and economic
conditions, and is non-diversified.
sentences:
- Mapletree Commercial Trust is a Singapore-focused real estate investment trust
(REIT) that invests on a long-term basis, directly or indirectly, in a diversified
portfolio of income-producing real estate used primarily for office and/or retail
purposes, whether wholly or partially, in Singapore, as well as real estate related
assets. MCT's portfolio comprises VivoCity, MBC, PSA Building, Mapletree Anson
and MLHF. These five assets have a total NLA of 5.0 million square feet with a
total value of S$8.7 billion.
- FCPT, headquartered in Mill Valley, CA, is a real estate investment trust primarily
engaged in the acquisition and leasing of restaurant properties. The Company seeks
to grow its portfolio by acquiring additional real estate to lease, on a net basis,
for use in the restaurant and retail industries.
- Alamo Group Inc. designs, manufactures, distributes, and services vegetation management
and infrastructure maintenance equipment for governmental, industrial, and agricultural
uses worldwide. Its Vegetation Management Division segment offers hydraulically-powered
and tractor-mounted mowers, other cutters and replacement parts for heavy-duty
and intensive uses and heavy duty applications, tractor- and truck-mounted mowing
and vegetation maintenance equipment, and replacement parts. This segment also
provides rotary and finishing mowers, flail and disc mowers, front-end loaders,
backhoes, rotary tillers, posthole diggers, scraper blades and replacement parts,
zero turn radius mowers, cutting parts, plain and hard-faced replacement tillage
tools, disc blades, and fertilizer application components; aftermarket agricultural
parts, heavy-duty mechanical rotary mowers, snow blowers, rock removal equipment,
replacement parts, tractor attachments, agricultural implements, hydraulic and
boom-mounted hedge and grass cutters, tractor attachments and implements, hedgerow
cutters, industrial grass mowers, agricultural seedbed preparation cultivators,
self-propelled sprayers and multi-drive load-carrying vehicles, cutting blades,
and hydraulic and mechanical boom mowers. The company's Industrial Equipment Division
segment offers truck-mounted air vacuum, mechanical broom, and regenerative air
sweepers, pothole patchers, leaf collection equipment and replacement brooms,
parking lot and street sweepers, excavators, catch basin cleaners, and roadway
debris vacuum systems, as well as truck-mounted vacuum machines, combination sewer
cleaners, and hydro excavators. This segment also offers ice control products,
snowplows and heavy duty snow removal equipment, hitches, attachments, and graders;
and public works and runway maintenance products, parts, and services, and high
pressure cleaning systems and trenchers. The company was founded in 1955 and is
headquartered in Seguin, Texas.
datasets:
- suhwan3/fine_tuning_stage2
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
# SentenceTransformer based on sentence-transformers/all-MiniLM-L12-v2
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) on the [fine_tuning_stage2](https://huggingface.co/datasets/suhwan3/fine_tuning_stage2) dataset. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
## Model Details
### Model Description
- **Model Type:** Sentence Transformer
- **Base model:** [sentence-transformers/all-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2) <!-- at revision c004d8e3e901237d8fa7e9fff12774962e391ce5 -->
- **Maximum Sequence Length:** 128 tokens
- **Output Dimensionality:** 384 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
- [fine_tuning_stage2](https://huggingface.co/datasets/suhwan3/fine_tuning_stage2)
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
### Full Model Architecture
```
SentenceTransformer(
(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
"Fidelity Real Estate Investment (FPRO) is an actively managed, non-transparent ETF that seeks above-average income and long-term capital growth by investing at least 80% of its assets in securities of companies primarily engaged in the real estate industry, including both domestic and foreign issuers. Operating under an exemptive order from the SEC, FPRO is not required to disclose its complete portfolio holdings daily. Instead, it utilizes the Fidelity non-transparent model, publishing a Tracking Basket and Tracking Basket Weight Overlap daily to approximate the fund's performance without revealing its actual holdings, which are disclosed monthly with a 30-day lag. The fund employs fundamental analysis to select securities, focusing on financial condition, industry position, and broader market and economic conditions, and is non-diversified.",
'FCPT, headquartered in Mill Valley, CA, is a real estate investment trust primarily engaged in the acquisition and leasing of restaurant properties. The Company seeks to grow its portfolio by acquiring additional real estate to lease, on a net basis, for use in the restaurant and retail industries.',
"Mapletree Commercial Trust is a Singapore-focused real estate investment trust (REIT) that invests on a long-term basis, directly or indirectly, in a diversified portfolio of income-producing real estate used primarily for office and/or retail purposes, whether wholly or partially, in Singapore, as well as real estate related assets. MCT's portfolio comprises VivoCity, MBC, PSA Building, Mapletree Anson and MLHF. These five assets have a total NLA of 5.0 million square feet with a total value of S$8.7 billion.",
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Dataset
#### fine_tuning_stage2
* Dataset: [fine_tuning_stage2](https://huggingface.co/datasets/suhwan3/fine_tuning_stage2) at [b16a8c0](https://huggingface.co/datasets/suhwan3/fine_tuning_stage2/tree/b16a8c01da80ad9f68712d932d9bb0aaf3af913d)
* Size: 144,128 training samples
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
| | anchor | positive | negative |
|:--------|:--------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
| type | string | string | string |
| details | <ul><li>min: 123 tokens</li><li>mean: 126.64 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 53 tokens</li><li>mean: 121.14 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 21 tokens</li><li>mean: 121.09 tokens</li><li>max: 128 tokens</li></ul> |
* Samples:
| anchor | positive | negative |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.</code> | <code>3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...</code> | <code>OSI Systems, Inc. designs and manufactures electronic systems and components worldwide. It operates in three segments: Security, Healthcare, and Optoelectronics and Manufacturing. The Security segment offers baggage and parcel inspection, cargo and vehicle inspection, hold baggage and people screening, radiation detection, and explosive and narcotics trace detection systems under the Rapiscan Systems, AS&E, and Gatekeeper names. It also provides site design, installation, training, and technical support services; and security screening solutions under the S2 name. The Healthcare segment offers patient monitoring and diagnostic cardiology systems, and related supplies and accessories under the Spacelabs name for use in critical care, emergency, and perioperative areas within hospitals, physicians' offices, medical clinics, and ambulatory surgery centers. The Optoelectronics and Manufacturing segment provides optoelectronic devices under the OSI Optoelectronics, OSI LaserDiode, OSI Laser...</code> |
| <code>ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.</code> | <code>3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...</code> | <code>Ubisoft Entertainment SA produce, publishes, and distributes video games for consoles, PC, smartphones, and tablets in both physical and digital formats in Europe, North America, and internationally. The company designs and develops software, including scenarios, animation, gameplay, layouts, and game rules, as well as develops design tools and game engines. It is also involved in the development in the area of online and mobile gaming; and film business. The company was incorporated in 1986 and is headquartered in Saint-Mandé, France.</code> |
| <code>ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.</code> | <code>3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...</code> | <code>Genpact Limited provides business process outsourcing and information technology (IT) services in India, rest of Asia, North and Latin America, and Europe. It operates through three segments: Banking, Capital Markets and Insurance; Consumer Goods, Retail, Life Sciences and Healthcare; and High Tech, Manufacturing and Services. The company offers CFO advisory services; and environmental, social, and governance (ESG) services, such as data management, carbon accounting, human rights assessment, sustainability diligence, and ESG reporting. It also provides finance and accounting services, which include accounts payable, such as document management, invoice processing, approval and resolution management, and travel and expense processing; invoice-to-cash services, including customer master data management, credit and contract management, fulfillment, billing, collections, and dispute management services; record to report services comprising accounting, treasury, tax, product cost accountin...</code> |
* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
```json
{
"distance_metric": "TripletDistanceMetric.COSINE",
"triplet_margin": 0.5
}
```
### Evaluation Dataset
#### fine_tuning_stage2
* Dataset: [fine_tuning_stage2](https://huggingface.co/datasets/suhwan3/fine_tuning_stage2) at [b16a8c0](https://huggingface.co/datasets/suhwan3/fine_tuning_stage2/tree/b16a8c01da80ad9f68712d932d9bb0aaf3af913d)
* Size: 36,032 evaluation samples
* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
* Approximate statistics based on the first 1000 samples:
| | anchor | positive | negative |
|:--------|:--------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
| type | string | string | string |
| details | <ul><li>min: 123 tokens</li><li>mean: 127.66 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 53 tokens</li><li>mean: 124.04 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 15 tokens</li><li>mean: 120.49 tokens</li><li>max: 128 tokens</li></ul> |
* Samples:
| anchor | positive | negative |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.</code> | <code>3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...</code> | <code>DXC Technology Company, together with its subsidiaries, provides information technology services and solutions primarily in North America, Europe, Asia, and Australia. It operates in two segments, Global Business Services (GBS) and Global Infrastructure Services (GIS). The GBS segment offers a portfolio of analytics services and extensive partner ecosystem that help its customers to gain rapid insights, automate operations, and accelerate their digital transformation journeys; and software engineering, consulting, and data analytics solutions that enable businesses to run and manage their mission-critical functions, transform their operations, and develop new ways of doing business. It also uses various technologies and methods to accelerate the creation, modernization, delivery, and maintenance of secure applications allowing customers to innovate faster while reducing risk, time to market, and total cost of ownership. In addition, this segment offers business process services, which ...</code> |
| <code>ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.</code> | <code>3D Systems Corporation, through its subsidiaries, provides 3D printing and digital manufacturing solutions in the Americas, Europe, the Middle East, Africa, and the Asia Pacific. The company offers 3D printers, such as stereolithography, selective laser sintering, direct metal printing, multi jet printing, color jet printing, and extrusion and SLA based bioprinting that transform digital data input generated by 3D design software, computer aided design (CAD) software, or other 3D design tools into printed parts. It also develops, blends, and markets various print materials, such as plastic, nylon, metal, composite, elastomeric, wax, polymeric dental, and bio-compatible materials. In addition, the company provides digital design tools, including software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows under the Geomag...</code> | <code>CGI Inc., together with its subsidiaries, provides information technology (IT) and business process services in Canada; Western, Southern, Central, and Eastern Europe; Australia; Scandinavia; Finland, Poland, and Baltics; the United States; the United Kingdom; and the Asia Pacific. Its services include the management of IT and business outsourcing, systems integration and consulting, and software solutions selling activities. The company also offers application development, integration and maintenance, testing, portfolio management, and modernization services; business consulting; and a suite of business process services designed to address the needs of specific industries, as well as IT infrastructure services. It serves clients operating in government, banking and capital market, health, utility, communication and media, oil and gas, retail, consumer and services, space, manufacturing, insurance, life sciences, retail and consumer service, and transportation and logistics sectors. Th...</code> |
| <code>ARKQ, the ARK Autonomous Technology & Robotics ETF, is an actively managed fund focused on long-term capital growth by investing at least 80% of its assets in domestic and foreign equity securities of companies involved in autonomous technology and robotics. Emphasizing disruptive innovation, the fund targets firms benefiting from advancements in automation, energy, and artificial intelligence. ARKQ employs its own internal research to identify transformative businesses, making pure-play portfolio implementation challenging. As a non-diversified fund, it concentrates its investments in specific sectors, aiming to capitalize on technological advancements that drive market development.</code> | <code>ANSYS, Inc. develops and markets engineering simulation software and services worldwide. It offers ANSYS Workbench, a framework upon which its multiphysics engineering simulation technologies are built and enables engineers to simulate the interactions between structures, heat transfer, fluids, electronics, and optical elements in a unified engineering simulation environment; high-performance computing product suite; power analysis and optimization software suite that manages the power budget, power delivery integrity, and power-induced noise in an electronic design; and structural analysis product suite that provides simulation tools for product design and optimization. The company also provides electronics product suite that offers field simulation software for designing electronic and electromechanical products; SCADE product suite, a solution for embedded software simulation, code production, and automated certification; fluids product suite that enables modeling of fluid flow and ...</code> | <code>KRAFTON, Inc. develops, produces, and sells household video games in South Korea and internationally. It offers PC, mobile, and console games. The company was formerly known as Bluehole Studio Inc. and changed its name to KRAFTON, Inc. in November 2018. The company was founded in 2007 and is based in Seongnam, South Korea.</code> |
* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
```json
{
"distance_metric": "TripletDistanceMetric.COSINE",
"triplet_margin": 0.5
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 64
- `per_device_eval_batch_size`: 64
- `num_train_epochs`: 10
- `warmup_ratio`: 0.1
- `bf16`: True
- `dataloader_drop_last`: True
- `load_best_model_at_end`: True
- `batch_sampler`: no_duplicates
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 64
- `per_device_eval_batch_size`: 64
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 10
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: True
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: True
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `tp_size`: 0
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: no_duplicates
- `multi_dataset_batch_sampler`: proportional
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | Validation Loss |
|:----------:|:---------:|:-------------:|:---------------:|
| 0.0044 | 10 | 0.4716 | - |
| 0.0089 | 20 | 0.4638 | - |
| 0.0133 | 30 | 0.4614 | - |
| 0.0178 | 40 | 0.4572 | - |
| 0.0222 | 50 | 0.4616 | - |
| 0.0266 | 60 | 0.4539 | - |
| 0.0311 | 70 | 0.4368 | - |
| 0.0355 | 80 | 0.442 | - |
| 0.0400 | 90 | 0.4469 | - |
| 0.0444 | 100 | 0.4273 | - |
| 0.0488 | 110 | 0.4062 | - |
| 0.0533 | 120 | 0.4032 | - |
| 0.0577 | 130 | 0.4019 | - |
| 0.0622 | 140 | 0.3902 | - |
| 0.0666 | 150 | 0.379 | - |
| 0.0710 | 160 | 0.3466 | - |
| 0.0755 | 170 | 0.3463 | - |
| 0.0799 | 180 | 0.3347 | - |
| 0.0844 | 190 | 0.3085 | - |
| 0.0888 | 200 | 0.3207 | - |
| 0.0933 | 210 | 0.3116 | - |
| 0.0977 | 220 | 0.3003 | - |
| 0.1021 | 230 | 0.2872 | - |
| 0.1066 | 240 | 0.2858 | - |
| 0.1110 | 250 | 0.2752 | - |
| 0.1155 | 260 | 0.2758 | - |
| 0.1199 | 270 | 0.2969 | - |
| 0.1243 | 280 | 0.2599 | - |
| 0.1288 | 290 | 0.2545 | - |
| 0.1332 | 300 | 0.2599 | - |
| 0.1377 | 310 | 0.2583 | - |
| 0.1421 | 320 | 0.2539 | - |
| 0.1465 | 330 | 0.2396 | - |
| 0.1510 | 340 | 0.2267 | - |
| 0.1554 | 350 | 0.234 | - |
| 0.1599 | 360 | 0.2324 | - |
| 0.1643 | 370 | 0.2219 | - |
| 0.1687 | 380 | 0.2188 | - |
| 0.1732 | 390 | 0.2375 | - |
| 0.1776 | 400 | 0.2181 | - |
| 0.1821 | 410 | 0.2175 | - |
| 0.1865 | 420 | 0.2235 | - |
| 0.1909 | 430 | 0.2025 | - |
| 0.1954 | 440 | 0.2183 | - |
| 0.1998 | 450 | 0.2163 | - |
| 0.2043 | 460 | 0.2055 | - |
| 0.2087 | 470 | 0.2038 | - |
| 0.2131 | 480 | 0.2074 | - |
| 0.2176 | 490 | 0.215 | - |
| 0.2220 | 500 | 0.2249 | - |
| 0.2265 | 510 | 0.1963 | - |
| 0.2309 | 520 | 0.1975 | - |
| 0.2353 | 530 | 0.1902 | - |
| 0.2398 | 540 | 0.2077 | - |
| 0.2442 | 550 | 0.2044 | - |
| 0.2487 | 560 | 0.2085 | - |
| 0.2531 | 570 | 0.1919 | - |
| 0.2575 | 580 | 0.1999 | - |
| 0.2620 | 590 | 0.1947 | - |
| 0.2664 | 600 | 0.2078 | - |
| 0.2709 | 610 | 0.2032 | - |
| 0.2753 | 620 | 0.1825 | - |
| 0.2798 | 630 | 0.2026 | - |
| 0.2842 | 640 | 0.1798 | - |
| 0.2886 | 650 | 0.1945 | - |
| 0.2931 | 660 | 0.1864 | - |
| 0.2975 | 670 | 0.1844 | - |
| 0.3020 | 680 | 0.1826 | - |
| 0.3064 | 690 | 0.1799 | - |
| 0.3108 | 700 | 0.1881 | - |
| 0.3153 | 710 | 0.1869 | - |
| 0.3197 | 720 | 0.1758 | - |
| 0.3242 | 730 | 0.1568 | - |
| 0.3286 | 740 | 0.1711 | - |
| 0.3330 | 750 | 0.1687 | - |
| 0.3375 | 760 | 0.1616 | - |
| 0.3419 | 770 | 0.1503 | - |
| 0.3464 | 780 | 0.1694 | - |
| 0.3508 | 790 | 0.1678 | - |
| 0.3552 | 800 | 0.1638 | - |
| 0.3597 | 810 | 0.1562 | - |
| 0.3641 | 820 | 0.1629 | - |
| 0.3686 | 830 | 0.139 | - |
| 0.3730 | 840 | 0.1395 | - |
| 0.3774 | 850 | 0.1721 | - |
| 0.3819 | 860 | 0.1601 | - |
| 0.3863 | 870 | 0.1685 | - |
| 0.3908 | 880 | 0.1655 | - |
| 0.3952 | 890 | 0.1517 | - |
| 0.3996 | 900 | 0.1313 | - |
| 0.4041 | 910 | 0.1804 | - |
| 0.4085 | 920 | 0.161 | - |
| 0.4130 | 930 | 0.1381 | - |
| 0.4174 | 940 | 0.1407 | - |
| 0.4218 | 950 | 0.1557 | - |
| 0.4263 | 960 | 0.1392 | - |
| 0.4307 | 970 | 0.1522 | - |
| 0.4352 | 980 | 0.1483 | - |
| 0.4396 | 990 | 0.1429 | - |
| 0.4440 | 1000 | 0.1384 | 0.1443 |
| 0.4485 | 1010 | 0.1643 | - |
| 0.4529 | 1020 | 0.141 | - |
| 0.4574 | 1030 | 0.1539 | - |
| 0.4618 | 1040 | 0.1468 | - |
| 0.4663 | 1050 | 0.1426 | - |
| 0.4707 | 1060 | 0.1461 | - |
| 0.4751 | 1070 | 0.1637 | - |
| 0.4796 | 1080 | 0.1491 | - |
| 0.4840 | 1090 | 0.1328 | - |
| 0.4885 | 1100 | 0.1307 | - |
| 0.4929 | 1110 | 0.1406 | - |
| 0.4973 | 1120 | 0.1503 | - |
| 0.5018 | 1130 | 0.1436 | - |
| 0.5062 | 1140 | 0.1395 | - |
| 0.5107 | 1150 | 0.1298 | - |
| 0.5151 | 1160 | 0.1218 | - |
| 0.5195 | 1170 | 0.1272 | - |
| 0.5240 | 1180 | 0.1435 | - |
| 0.5284 | 1190 | 0.1302 | - |
| 0.5329 | 1200 | 0.131 | - |
| 0.5373 | 1210 | 0.1432 | - |
| 0.5417 | 1220 | 0.1432 | - |
| 0.5462 | 1230 | 0.1219 | - |
| 0.5506 | 1240 | 0.1291 | - |
| 0.5551 | 1250 | 0.1453 | - |
| 0.5595 | 1260 | 0.1311 | - |
| 0.5639 | 1270 | 0.1395 | - |
| 0.5684 | 1280 | 0.1219 | - |
| 0.5728 | 1290 | 0.1282 | - |
| 0.5773 | 1300 | 0.125 | - |
| 0.5817 | 1310 | 0.1087 | - |
| 0.5861 | 1320 | 0.1272 | - |
| 0.5906 | 1330 | 0.1325 | - |
| 0.5950 | 1340 | 0.115 | - |
| 0.5995 | 1350 | 0.1262 | - |
| 0.6039 | 1360 | 0.1132 | - |
| 0.6083 | 1370 | 0.1064 | - |
| 0.6128 | 1380 | 0.1343 | - |
| 0.6172 | 1390 | 0.1294 | - |
| 0.6217 | 1400 | 0.1182 | - |
| 0.6261 | 1410 | 0.1207 | - |
| 0.6306 | 1420 | 0.1048 | - |
| 0.6350 | 1430 | 0.1236 | - |
| 0.6394 | 1440 | 0.123 | - |
| 0.6439 | 1450 | 0.1113 | - |
| 0.6483 | 1460 | 0.1086 | - |
| 0.6528 | 1470 | 0.1164 | - |
| 0.6572 | 1480 | 0.1096 | - |
| 0.6616 | 1490 | 0.117 | - |
| 0.6661 | 1500 | 0.1386 | - |
| 0.6705 | 1510 | 0.1016 | - |
| 0.6750 | 1520 | 0.1199 | - |
| 0.6794 | 1530 | 0.1135 | - |
| 0.6838 | 1540 | 0.1142 | - |
| 0.6883 | 1550 | 0.1201 | - |
| 0.6927 | 1560 | 0.1206 | - |
| 0.6972 | 1570 | 0.1119 | - |
| 0.7016 | 1580 | 0.1041 | - |
| 0.7060 | 1590 | 0.1194 | - |
| 0.7105 | 1600 | 0.1194 | - |
| 0.7149 | 1610 | 0.1106 | - |
| 0.7194 | 1620 | 0.1015 | - |
| 0.7238 | 1630 | 0.1114 | - |
| 0.7282 | 1640 | 0.1163 | - |
| 0.7327 | 1650 | 0.107 | - |
| 0.7371 | 1660 | 0.1141 | - |
| 0.7416 | 1670 | 0.1 | - |
| 0.7460 | 1680 | 0.1242 | - |
| 0.7504 | 1690 | 0.1048 | - |
| 0.7549 | 1700 | 0.1192 | - |
| 0.7593 | 1710 | 0.1197 | - |
| 0.7638 | 1720 | 0.1059 | - |
| 0.7682 | 1730 | 0.1054 | - |
| 0.7726 | 1740 | 0.1041 | - |
| 0.7771 | 1750 | 0.1069 | - |
| 0.7815 | 1760 | 0.0988 | - |
| 0.7860 | 1770 | 0.1058 | - |
| 0.7904 | 1780 | 0.1237 | - |
| 0.7948 | 1790 | 0.1165 | - |
| 0.7993 | 1800 | 0.1083 | - |
| 0.8037 | 1810 | 0.107 | - |
| 0.8082 | 1820 | 0.121 | - |
| 0.8126 | 1830 | 0.1115 | - |
| 0.8171 | 1840 | 0.1058 | - |
| 0.8215 | 1850 | 0.1013 | - |
| 0.8259 | 1860 | 0.1052 | - |
| 0.8304 | 1870 | 0.1155 | - |
| 0.8348 | 1880 | 0.1257 | - |
| 0.8393 | 1890 | 0.0886 | - |
| 0.8437 | 1900 | 0.0993 | - |
| 0.8481 | 1910 | 0.1065 | - |
| 0.8526 | 1920 | 0.1021 | - |
| 0.8570 | 1930 | 0.1 | - |
| 0.8615 | 1940 | 0.1139 | - |
| 0.8659 | 1950 | 0.0951 | - |
| 0.8703 | 1960 | 0.1039 | - |
| 0.8748 | 1970 | 0.104 | - |
| 0.8792 | 1980 | 0.0943 | - |
| 0.8837 | 1990 | 0.1014 | - |
| 0.8881 | 2000 | 0.0991 | 0.0990 |
| 0.8925 | 2010 | 0.1029 | - |
| 0.8970 | 2020 | 0.0904 | - |
| 0.9014 | 2030 | 0.1073 | - |
| 0.9059 | 2040 | 0.09 | - |
| 0.9103 | 2050 | 0.1038 | - |
| 0.9147 | 2060 | 0.1102 | - |
| 0.9192 | 2070 | 0.0906 | - |
| 0.9236 | 2080 | 0.0967 | - |
| 0.9281 | 2090 | 0.101 | - |
| 0.9325 | 2100 | 0.101 | - |
| 0.9369 | 2110 | 0.111 | - |
| 0.9414 | 2120 | 0.1108 | - |
| 0.9458 | 2130 | 0.1087 | - |
| 0.9503 | 2140 | 0.1 | - |
| 0.9547 | 2150 | 0.1014 | - |
| 0.9591 | 2160 | 0.1036 | - |
| 0.9636 | 2170 | 0.1049 | - |
| 0.9680 | 2180 | 0.1103 | - |
| 0.9725 | 2190 | 0.1001 | - |
| 0.9769 | 2200 | 0.1012 | - |
| 0.9813 | 2210 | 0.0931 | - |
| 0.9858 | 2220 | 0.094 | - |
| 0.9902 | 2230 | 0.1094 | - |
| 0.9947 | 2240 | 0.0974 | - |
| 0.9991 | 2250 | 0.0994 | - |
| 1.0040 | 2260 | 0.0852 | - |
| 1.0084 | 2270 | 0.0857 | - |
| 1.0129 | 2280 | 0.0961 | - |
| 1.0173 | 2290 | 0.0866 | - |
| 1.0218 | 2300 | 0.0727 | - |
| 1.0262 | 2310 | 0.072 | - |
| 1.0306 | 2320 | 0.0908 | - |
| 1.0351 | 2330 | 0.0842 | - |
| 1.0395 | 2340 | 0.1031 | - |
| 1.0440 | 2350 | 0.0996 | - |
| 1.0484 | 2360 | 0.089 | - |
| 1.0528 | 2370 | 0.1021 | - |
| 1.0573 | 2380 | 0.0938 | - |
| 1.0617 | 2390 | 0.097 | - |
| 1.0662 | 2400 | 0.09 | - |
| 1.0706 | 2410 | 0.0709 | - |
| 1.0750 | 2420 | 0.1024 | - |
| 1.0795 | 2430 | 0.0868 | - |
| 1.0839 | 2440 | 0.0853 | - |
| 1.0884 | 2450 | 0.0857 | - |
| 1.0928 | 2460 | 0.089 | - |
| 1.0972 | 2470 | 0.0843 | - |
| 1.1017 | 2480 | 0.1059 | - |
| 1.1061 | 2490 | 0.0868 | - |
| 1.1106 | 2500 | 0.0872 | - |
| 1.1150 | 2510 | 0.0787 | - |
| 1.1194 | 2520 | 0.0855 | - |
| 1.1239 | 2530 | 0.0954 | - |
| 1.1283 | 2540 | 0.0909 | - |
| 1.1328 | 2550 | 0.0833 | - |
| 1.1372 | 2560 | 0.0932 | - |
| 1.1417 | 2570 | 0.0891 | - |
| 1.1461 | 2580 | 0.0875 | - |
| 1.1505 | 2590 | 0.1109 | - |
| 1.1550 | 2600 | 0.095 | - |
| 1.1594 | 2610 | 0.0877 | - |
| 1.1639 | 2620 | 0.0896 | - |
| 1.1683 | 2630 | 0.0827 | - |
| 1.1727 | 2640 | 0.0918 | - |
| 1.1772 | 2650 | 0.0856 | - |
| 1.1816 | 2660 | 0.0956 | - |
| 1.1861 | 2670 | 0.0979 | - |
| 1.1905 | 2680 | 0.0899 | - |
| 1.1949 | 2690 | 0.0812 | - |
| 1.1994 | 2700 | 0.0801 | - |
| 1.2038 | 2710 | 0.0884 | - |
| 1.2083 | 2720 | 0.0858 | - |
| 1.2127 | 2730 | 0.0876 | - |
| 1.2171 | 2740 | 0.0676 | - |
| 1.2216 | 2750 | 0.0771 | - |
| 1.2260 | 2760 | 0.0822 | - |
| 1.2305 | 2770 | 0.1003 | - |
| 1.2349 | 2780 | 0.0743 | - |
| 1.2393 | 2790 | 0.0695 | - |
| 1.2438 | 2800 | 0.0969 | - |
| 1.2482 | 2810 | 0.0719 | - |
| 1.2527 | 2820 | 0.0925 | - |
| 1.2571 | 2830 | 0.0771 | - |
| 1.2615 | 2840 | 0.0822 | - |
| 1.2660 | 2850 | 0.0872 | - |
| 1.2704 | 2860 | 0.0825 | - |
| 1.2749 | 2870 | 0.0894 | - |
| 1.2793 | 2880 | 0.082 | - |
| 1.2837 | 2890 | 0.0875 | - |
| 1.2882 | 2900 | 0.0956 | - |
| 1.2926 | 2910 | 0.0644 | - |
| 1.2971 | 2920 | 0.0769 | - |
| 1.3015 | 2930 | 0.0892 | - |
| 1.3060 | 2940 | 0.0749 | - |
| 1.3104 | 2950 | 0.0896 | - |
| 1.3148 | 2960 | 0.0813 | - |
| 1.3193 | 2970 | 0.0856 | - |
| 1.3237 | 2980 | 0.0649 | - |
| 1.3282 | 2990 | 0.0701 | - |
| 1.3326 | 3000 | 0.0744 | 0.0767 |
| 1.3370 | 3010 | 0.0837 | - |
| 1.3415 | 3020 | 0.0853 | - |
| 1.3459 | 3030 | 0.0738 | - |
| 1.3504 | 3040 | 0.0967 | - |
| 1.3548 | 3050 | 0.0704 | - |
| 1.3592 | 3060 | 0.0676 | - |
| 1.3637 | 3070 | 0.0874 | - |
| 1.3681 | 3080 | 0.0779 | - |
| 1.3726 | 3090 | 0.0656 | - |
| 1.3770 | 3100 | 0.0907 | - |
| 1.3814 | 3110 | 0.0921 | - |
| 1.3859 | 3120 | 0.0746 | - |
| 1.3903 | 3130 | 0.0782 | - |
| 1.3948 | 3140 | 0.0711 | - |
| 1.3992 | 3150 | 0.0816 | - |
| 1.4036 | 3160 | 0.0836 | - |
| 1.4081 | 3170 | 0.0741 | - |
| 1.4125 | 3180 | 0.0693 | - |
| 1.4170 | 3190 | 0.076 | - |
| 1.4214 | 3200 | 0.0831 | - |
| 1.4258 | 3210 | 0.072 | - |
| 1.4303 | 3220 | 0.0715 | - |
| 1.4347 | 3230 | 0.0875 | - |
| 1.4392 | 3240 | 0.0868 | - |
| 1.4436 | 3250 | 0.06 | - |
| 1.4480 | 3260 | 0.0751 | - |
| 1.4525 | 3270 | 0.0948 | - |
| 1.4569 | 3280 | 0.0764 | - |
| 1.4614 | 3290 | 0.0726 | - |
| 1.4658 | 3300 | 0.0793 | - |
| 1.4702 | 3310 | 0.0782 | - |
| 1.4747 | 3320 | 0.0846 | - |
| 1.4791 | 3330 | 0.0729 | - |
| 1.4836 | 3340 | 0.0777 | - |
| 1.4880 | 3350 | 0.0821 | - |
| 1.4925 | 3360 | 0.073 | - |
| 1.4969 | 3370 | 0.0691 | - |
| 1.5013 | 3380 | 0.0838 | - |
| 1.5058 | 3390 | 0.0838 | - |
| 1.5102 | 3400 | 0.0727 | - |
| 1.5147 | 3410 | 0.0912 | - |
| 1.5191 | 3420 | 0.0727 | - |
| 1.5235 | 3430 | 0.0798 | - |
| 1.5280 | 3440 | 0.0821 | - |
| 1.5324 | 3450 | 0.0709 | - |
| 1.5369 | 3460 | 0.073 | - |
| 1.5413 | 3470 | 0.0809 | - |
| 1.5457 | 3480 | 0.0793 | - |
| 1.5502 | 3490 | 0.0746 | - |
| 1.5546 | 3500 | 0.0726 | - |
| 1.5591 | 3510 | 0.0758 | - |
| 1.5635 | 3520 | 0.0692 | - |
| 1.5679 | 3530 | 0.0729 | - |
| 1.5724 | 3540 | 0.0647 | - |
| 1.5768 | 3550 | 0.0702 | - |
| 1.5813 | 3560 | 0.0628 | - |
| 1.5857 | 3570 | 0.071 | - |
| 1.5901 | 3580 | 0.0766 | - |
| 1.5946 | 3590 | 0.0854 | - |
| 1.5990 | 3600 | 0.0643 | - |
| 1.6035 | 3610 | 0.0642 | - |
| 1.6079 | 3620 | 0.0754 | - |
| 1.6123 | 3630 | 0.0712 | - |
| 1.6168 | 3640 | 0.0793 | - |
| 1.6212 | 3650 | 0.0681 | - |
| 1.6257 | 3660 | 0.0751 | - |
| 1.6301 | 3670 | 0.0696 | - |
| 1.6345 | 3680 | 0.0803 | - |
| 1.6390 | 3690 | 0.0685 | - |
| 1.6434 | 3700 | 0.064 | - |
| 1.6479 | 3710 | 0.0677 | - |
| 1.6523 | 3720 | 0.0729 | - |
| 1.6567 | 3730 | 0.0647 | - |
| 1.6612 | 3740 | 0.0857 | - |
| 1.6656 | 3750 | 0.0789 | - |
| 1.6701 | 3760 | 0.075 | - |
| 1.6745 | 3770 | 0.0688 | - |
| 1.6790 | 3780 | 0.0768 | - |
| 1.6834 | 3790 | 0.0588 | - |
| 1.6878 | 3800 | 0.0795 | - |
| 1.6923 | 3810 | 0.0587 | - |
| 1.6967 | 3820 | 0.0704 | - |
| 1.7012 | 3830 | 0.0666 | - |
| 1.7056 | 3840 | 0.0705 | - |
| 1.7100 | 3850 | 0.0826 | - |
| 1.7145 | 3860 | 0.0622 | - |
| 1.7189 | 3870 | 0.0723 | - |
| 1.7234 | 3880 | 0.0656 | - |
| 1.7278 | 3890 | 0.0717 | - |
| 1.7322 | 3900 | 0.0665 | - |
| 1.7367 | 3910 | 0.0634 | - |
| 1.7411 | 3920 | 0.0683 | - |
| 1.7456 | 3930 | 0.0704 | - |
| 1.75 | 3940 | 0.0643 | - |
| 1.7544 | 3950 | 0.0703 | - |
| 1.7589 | 3960 | 0.0714 | - |
| 1.7633 | 3970 | 0.0713 | - |
| 1.7678 | 3980 | 0.0653 | - |
| 1.7722 | 3990 | 0.0801 | - |
| 1.7766 | 4000 | 0.0612 | 0.0663 |
| 1.7811 | 4010 | 0.0636 | - |
| 1.7855 | 4020 | 0.0721 | - |
| 1.7900 | 4030 | 0.075 | - |
| 1.7944 | 4040 | 0.0763 | - |
| 1.7988 | 4050 | 0.073 | - |
| 1.8033 | 4060 | 0.0721 | - |
| 1.8077 | 4070 | 0.065 | - |
| 1.8122 | 4080 | 0.0708 | - |
| 1.8166 | 4090 | 0.0646 | - |
| 1.8210 | 4100 | 0.0714 | - |
| 1.8255 | 4110 | 0.0876 | - |
| 1.8299 | 4120 | 0.0647 | - |
| 1.8344 | 4130 | 0.0513 | - |
| 1.8388 | 4140 | 0.0568 | - |
| 1.8433 | 4150 | 0.0813 | - |
| 1.8477 | 4160 | 0.0667 | - |
| 1.8521 | 4170 | 0.0604 | - |
| 1.8566 | 4180 | 0.0586 | - |
| 1.8610 | 4190 | 0.0622 | - |
| 1.8655 | 4200 | 0.0606 | - |
| 1.8699 | 4210 | 0.0733 | - |
| 1.8743 | 4220 | 0.0676 | - |
| 1.8788 | 4230 | 0.0751 | - |
| 1.8832 | 4240 | 0.0702 | - |
| 1.8877 | 4250 | 0.0699 | - |
| 1.8921 | 4260 | 0.0677 | - |
| 1.8965 | 4270 | 0.0648 | - |
| 1.9010 | 4280 | 0.0593 | - |
| 1.9054 | 4290 | 0.0578 | - |
| 1.9099 | 4300 | 0.062 | - |
| 1.9143 | 4310 | 0.0752 | - |
| 1.9187 | 4320 | 0.0742 | - |
| 1.9232 | 4330 | 0.0617 | - |
| 1.9276 | 4340 | 0.0718 | - |
| 1.9321 | 4350 | 0.0734 | - |
| 1.9365 | 4360 | 0.056 | - |
| 1.9409 | 4370 | 0.068 | - |
| 1.9454 | 4380 | 0.0646 | - |
| 1.9498 | 4390 | 0.0671 | - |
| 1.9543 | 4400 | 0.0585 | - |
| 1.9587 | 4410 | 0.067 | - |
| 1.9631 | 4420 | 0.0527 | - |
| 1.9676 | 4430 | 0.0654 | - |
| 1.9720 | 4440 | 0.0624 | - |
| 1.9765 | 4450 | 0.0482 | - |
| 1.9809 | 4460 | 0.0535 | - |
| 1.9853 | 4470 | 0.0699 | - |
| 1.9898 | 4480 | 0.0521 | - |
| 1.9942 | 4490 | 0.0728 | - |
| 1.9987 | 4500 | 0.0667 | - |
| 2.0036 | 4510 | 0.0574 | - |
| 2.0080 | 4520 | 0.0653 | - |
| 2.0124 | 4530 | 0.0624 | - |
| 2.0169 | 4540 | 0.0589 | - |
| 2.0213 | 4550 | 0.0545 | - |
| 2.0258 | 4560 | 0.0628 | - |
| 2.0302 | 4570 | 0.0511 | - |
| 2.0346 | 4580 | 0.0546 | - |
| 2.0391 | 4590 | 0.0446 | - |
| 2.0435 | 4600 | 0.0549 | - |
| 2.0480 | 4610 | 0.0529 | - |
| 2.0524 | 4620 | 0.0531 | - |
| 2.0568 | 4630 | 0.0559 | - |
| 2.0613 | 4640 | 0.0539 | - |
| 2.0657 | 4650 | 0.0459 | - |
| 2.0702 | 4660 | 0.0602 | - |
| 2.0746 | 4670 | 0.0665 | - |
| 2.0790 | 4680 | 0.0617 | - |
| 2.0835 | 4690 | 0.0485 | - |
| 2.0879 | 4700 | 0.0555 | - |
| 2.0924 | 4710 | 0.0697 | - |
| 2.0968 | 4720 | 0.055 | - |
| 2.1012 | 4730 | 0.0602 | - |
| 2.1057 | 4740 | 0.0533 | - |
| 2.1101 | 4750 | 0.0558 | - |
| 2.1146 | 4760 | 0.0448 | - |
| 2.1190 | 4770 | 0.0612 | - |
| 2.1234 | 4780 | 0.0636 | - |
| 2.1279 | 4790 | 0.0497 | - |
| 2.1323 | 4800 | 0.0568 | - |
| 2.1368 | 4810 | 0.0575 | - |
| 2.1412 | 4820 | 0.056 | - |
| 2.1456 | 4830 | 0.06 | - |
| 2.1501 | 4840 | 0.0544 | - |
| 2.1545 | 4850 | 0.0569 | - |
| 2.1590 | 4860 | 0.0558 | - |
| 2.1634 | 4870 | 0.0582 | - |
| 2.1679 | 4880 | 0.0529 | - |
| 2.1723 | 4890 | 0.0667 | - |
| 2.1767 | 4900 | 0.0496 | - |
| 2.1812 | 4910 | 0.0583 | - |
| 2.1856 | 4920 | 0.0551 | - |
| 2.1901 | 4930 | 0.0554 | - |
| 2.1945 | 4940 | 0.0629 | - |
| 2.1989 | 4950 | 0.0639 | - |
| 2.2034 | 4960 | 0.0524 | - |
| 2.2078 | 4970 | 0.0587 | - |
| 2.2123 | 4980 | 0.0625 | - |
| 2.2167 | 4990 | 0.0654 | - |
| 2.2211 | 5000 | 0.047 | 0.0565 |
| 2.2256 | 5010 | 0.0581 | - |
| 2.2300 | 5020 | 0.053 | - |
| 2.2345 | 5030 | 0.0627 | - |
| 2.2389 | 5040 | 0.0625 | - |
| 2.2433 | 5050 | 0.0498 | - |
| 2.2478 | 5060 | 0.0641 | - |
| 2.2522 | 5070 | 0.0555 | - |
| 2.2567 | 5080 | 0.0628 | - |
| 2.2611 | 5090 | 0.0508 | - |
| 2.2655 | 5100 | 0.048 | - |
| 2.2700 | 5110 | 0.0662 | - |
| 2.2744 | 5120 | 0.0601 | - |
| 2.2789 | 5130 | 0.0527 | - |
| 2.2833 | 5140 | 0.0523 | - |
| 2.2877 | 5150 | 0.0609 | - |
| 2.2922 | 5160 | 0.0601 | - |
| 2.2966 | 5170 | 0.0504 | - |
| 2.3011 | 5180 | 0.0587 | - |
| 2.3055 | 5190 | 0.0568 | - |
| 2.3099 | 5200 | 0.054 | - |
| 2.3144 | 5210 | 0.0601 | - |
| 2.3188 | 5220 | 0.0582 | - |
| 2.3233 | 5230 | 0.0567 | - |
| 2.3277 | 5240 | 0.0419 | - |
| 2.3321 | 5250 | 0.0534 | - |
| 2.3366 | 5260 | 0.0634 | - |
| 2.3410 | 5270 | 0.0634 | - |
| 2.3455 | 5280 | 0.0478 | - |
| 2.3499 | 5290 | 0.0637 | - |
| 2.3544 | 5300 | 0.0661 | - |
| 2.3588 | 5310 | 0.0571 | - |
| 2.3632 | 5320 | 0.059 | - |
| 2.3677 | 5330 | 0.0605 | - |
| 2.3721 | 5340 | 0.0586 | - |
| 2.3766 | 5350 | 0.055 | - |
| 2.3810 | 5360 | 0.0566 | - |
| 2.3854 | 5370 | 0.0584 | - |
| 2.3899 | 5380 | 0.0478 | - |
| 2.3943 | 5390 | 0.0562 | - |
| 2.3988 | 5400 | 0.0534 | - |
| 2.4032 | 5410 | 0.0521 | - |
| 2.4076 | 5420 | 0.0615 | - |
| 2.4121 | 5430 | 0.0503 | - |
| 2.4165 | 5440 | 0.0448 | - |
| 2.4210 | 5450 | 0.0634 | - |
| 2.4254 | 5460 | 0.0551 | - |
| 2.4298 | 5470 | 0.0542 | - |
| 2.4343 | 5480 | 0.0538 | - |
| 2.4387 | 5490 | 0.0567 | - |
| 2.4432 | 5500 | 0.0441 | - |
| 2.4476 | 5510 | 0.0495 | - |
| 2.4520 | 5520 | 0.0535 | - |
| 2.4565 | 5530 | 0.0518 | - |
| 2.4609 | 5540 | 0.0646 | - |
| 2.4654 | 5550 | 0.0523 | - |
| 2.4698 | 5560 | 0.0539 | - |
| 2.4742 | 5570 | 0.0514 | - |
| 2.4787 | 5580 | 0.0556 | - |
| 2.4831 | 5590 | 0.0472 | - |
| 2.4876 | 5600 | 0.0383 | - |
| 2.4920 | 5610 | 0.0547 | - |
| 2.4964 | 5620 | 0.0574 | - |
| 2.5009 | 5630 | 0.0504 | - |
| 2.5053 | 5640 | 0.0469 | - |
| 2.5098 | 5650 | 0.0495 | - |
| 2.5142 | 5660 | 0.0515 | - |
| 2.5187 | 5670 | 0.0571 | - |
| 2.5231 | 5680 | 0.062 | - |
| 2.5275 | 5690 | 0.0529 | - |
| 2.5320 | 5700 | 0.0512 | - |
| 2.5364 | 5710 | 0.0544 | - |
| 2.5409 | 5720 | 0.044 | - |
| 2.5453 | 5730 | 0.0555 | - |
| 2.5497 | 5740 | 0.0614 | - |
| 2.5542 | 5750 | 0.0623 | - |
| 2.5586 | 5760 | 0.0482 | - |
| 2.5631 | 5770 | 0.0609 | - |
| 2.5675 | 5780 | 0.054 | - |
| 2.5719 | 5790 | 0.0572 | - |
| 2.5764 | 5800 | 0.0582 | - |
| 2.5808 | 5810 | 0.0418 | - |
| 2.5853 | 5820 | 0.0593 | - |
| 2.5897 | 5830 | 0.0561 | - |
| 2.5941 | 5840 | 0.0567 | - |
| 2.5986 | 5850 | 0.0514 | - |
| 2.6030 | 5860 | 0.0506 | - |
| 2.6075 | 5870 | 0.0535 | - |
| 2.6119 | 5880 | 0.0554 | - |
| 2.6163 | 5890 | 0.0514 | - |
| 2.6208 | 5900 | 0.0475 | - |
| 2.6252 | 5910 | 0.0578 | - |
| 2.6297 | 5920 | 0.0582 | - |
| 2.6341 | 5930 | 0.0523 | - |
| 2.6385 | 5940 | 0.0475 | - |
| 2.6430 | 5950 | 0.0484 | - |
| 2.6474 | 5960 | 0.0482 | - |
| 2.6519 | 5970 | 0.0595 | - |
| 2.6563 | 5980 | 0.0521 | - |
| 2.6607 | 5990 | 0.0546 | - |
| 2.6652 | 6000 | 0.0565 | 0.0508 |
| 2.6696 | 6010 | 0.0503 | - |
| 2.6741 | 6020 | 0.0497 | - |
| 2.6785 | 6030 | 0.0528 | - |
| 2.6829 | 6040 | 0.0599 | - |
| 2.6874 | 6050 | 0.0588 | - |
| 2.6918 | 6060 | 0.0591 | - |
| 2.6963 | 6070 | 0.0561 | - |
| 2.7007 | 6080 | 0.0493 | - |
| 2.7052 | 6090 | 0.0539 | - |
| 2.7096 | 6100 | 0.052 | - |
| 2.7140 | 6110 | 0.0579 | - |
| 2.7185 | 6120 | 0.041 | - |
| 2.7229 | 6130 | 0.0502 | - |
| 2.7274 | 6140 | 0.0484 | - |
| 2.7318 | 6150 | 0.0469 | - |
| 2.7362 | 6160 | 0.0544 | - |
| 2.7407 | 6170 | 0.0553 | - |
| 2.7451 | 6180 | 0.0515 | - |
| 2.7496 | 6190 | 0.0482 | - |
| 2.7540 | 6200 | 0.052 | - |
| 2.7584 | 6210 | 0.0623 | - |
| 2.7629 | 6220 | 0.0544 | - |
| 2.7673 | 6230 | 0.0589 | - |
| 2.7718 | 6240 | 0.0516 | - |
| 2.7762 | 6250 | 0.0482 | - |
| 2.7806 | 6260 | 0.0659 | - |
| 2.7851 | 6270 | 0.0505 | - |
| 2.7895 | 6280 | 0.0609 | - |
| 2.7940 | 6290 | 0.047 | - |
| 2.7984 | 6300 | 0.0422 | - |
| 2.8028 | 6310 | 0.0528 | - |
| 2.8073 | 6320 | 0.0576 | - |
| 2.8117 | 6330 | 0.0551 | - |
| 2.8162 | 6340 | 0.0461 | - |
| 2.8206 | 6350 | 0.0589 | - |
| 2.8250 | 6360 | 0.0537 | - |
| 2.8295 | 6370 | 0.0531 | - |
| 2.8339 | 6380 | 0.0425 | - |
| 2.8384 | 6390 | 0.0562 | - |
| 2.8428 | 6400 | 0.0509 | - |
| 2.8472 | 6410 | 0.049 | - |
| 2.8517 | 6420 | 0.0487 | - |
| 2.8561 | 6430 | 0.0523 | - |
| 2.8606 | 6440 | 0.0511 | - |
| 2.8650 | 6450 | 0.0515 | - |
| 2.8694 | 6460 | 0.0627 | - |
| 2.8739 | 6470 | 0.0546 | - |
| 2.8783 | 6480 | 0.0519 | - |
| 2.8828 | 6490 | 0.0476 | - |
| 2.8872 | 6500 | 0.0476 | - |
| 2.8917 | 6510 | 0.0539 | - |
| 2.8961 | 6520 | 0.0432 | - |
| 2.9005 | 6530 | 0.0462 | - |
| 2.9050 | 6540 | 0.0492 | - |
| 2.9094 | 6550 | 0.0372 | - |
| 2.9139 | 6560 | 0.049 | - |
| 2.9183 | 6570 | 0.053 | - |
| 2.9227 | 6580 | 0.0462 | - |
| 2.9272 | 6590 | 0.052 | - |
| 2.9316 | 6600 | 0.0552 | - |
| 2.9361 | 6610 | 0.0487 | - |
| 2.9405 | 6620 | 0.0527 | - |
| 2.9449 | 6630 | 0.0545 | - |
| 2.9494 | 6640 | 0.0558 | - |
| 2.9538 | 6650 | 0.0458 | - |
| 2.9583 | 6660 | 0.0474 | - |
| 2.9627 | 6670 | 0.0509 | - |
| 2.9671 | 6680 | 0.0561 | - |
| 2.9716 | 6690 | 0.0444 | - |
| 2.9760 | 6700 | 0.0494 | - |
| 2.9805 | 6710 | 0.0441 | - |
| 2.9849 | 6720 | 0.0479 | - |
| 2.9893 | 6730 | 0.0508 | - |
| 2.9938 | 6740 | 0.0469 | - |
| 2.9982 | 6750 | 0.048 | - |
| 3.0031 | 6760 | 0.0455 | - |
| 3.0075 | 6770 | 0.0388 | - |
| 3.0120 | 6780 | 0.0458 | - |
| 3.0164 | 6790 | 0.0465 | - |
| 3.0209 | 6800 | 0.0452 | - |
| 3.0253 | 6810 | 0.0417 | - |
| 3.0298 | 6820 | 0.0476 | - |
| 3.0342 | 6830 | 0.0465 | - |
| 3.0386 | 6840 | 0.0516 | - |
| 3.0431 | 6850 | 0.0372 | - |
| 3.0475 | 6860 | 0.0448 | - |
| 3.0520 | 6870 | 0.0437 | - |
| 3.0564 | 6880 | 0.0524 | - |
| 3.0608 | 6890 | 0.0423 | - |
| 3.0653 | 6900 | 0.0403 | - |
| 3.0697 | 6910 | 0.0408 | - |
| 3.0742 | 6920 | 0.0496 | - |
| 3.0786 | 6930 | 0.0416 | - |
| 3.0830 | 6940 | 0.0419 | - |
| 3.0875 | 6950 | 0.0402 | - |
| 3.0919 | 6960 | 0.0477 | - |
| 3.0964 | 6970 | 0.0339 | - |
| 3.1008 | 6980 | 0.0439 | - |
| 3.1052 | 6990 | 0.0427 | - |
| 3.1097 | 7000 | 0.0413 | 0.0464 |
| 3.1141 | 7010 | 0.0451 | - |
| 3.1186 | 7020 | 0.0435 | - |
| 3.1230 | 7030 | 0.0396 | - |
| 3.1274 | 7040 | 0.0494 | - |
| 3.1319 | 7050 | 0.0479 | - |
| 3.1363 | 7060 | 0.0574 | - |
| 3.1408 | 7070 | 0.0386 | - |
| 3.1452 | 7080 | 0.0469 | - |
| 3.1496 | 7090 | 0.0488 | - |
| 3.1541 | 7100 | 0.0362 | - |
| 3.1585 | 7110 | 0.0463 | - |
| 3.1630 | 7120 | 0.0548 | - |
| 3.1674 | 7130 | 0.0487 | - |
| 3.1718 | 7140 | 0.0471 | - |
| 3.1763 | 7150 | 0.0418 | - |
| 3.1807 | 7160 | 0.0479 | - |
| 3.1852 | 7170 | 0.0432 | - |
| 3.1896 | 7180 | 0.0467 | - |
| 3.1940 | 7190 | 0.0385 | - |
| 3.1985 | 7200 | 0.0482 | - |
| 3.2029 | 7210 | 0.0458 | - |
| 3.2074 | 7220 | 0.0435 | - |
| 3.2118 | 7230 | 0.0447 | - |
| 3.2163 | 7240 | 0.0431 | - |
| 3.2207 | 7250 | 0.0405 | - |
| 3.2251 | 7260 | 0.0452 | - |
| 3.2296 | 7270 | 0.0495 | - |
| 3.2340 | 7280 | 0.0455 | - |
| 3.2385 | 7290 | 0.0432 | - |
| 3.2429 | 7300 | 0.047 | - |
| 3.2473 | 7310 | 0.0456 | - |
| 3.2518 | 7320 | 0.0503 | - |
| 3.2562 | 7330 | 0.0458 | - |
| 3.2607 | 7340 | 0.0477 | - |
| 3.2651 | 7350 | 0.047 | - |
| 3.2695 | 7360 | 0.0449 | - |
| 3.2740 | 7370 | 0.0409 | - |
| 3.2784 | 7380 | 0.031 | - |
| 3.2829 | 7390 | 0.0482 | - |
| 3.2873 | 7400 | 0.0414 | - |
| 3.2917 | 7410 | 0.0456 | - |
| 3.2962 | 7420 | 0.0404 | - |
| 3.3006 | 7430 | 0.0413 | - |
| 3.3051 | 7440 | 0.0557 | - |
| 3.3095 | 7450 | 0.0481 | - |
| 3.3139 | 7460 | 0.039 | - |
| 3.3184 | 7470 | 0.0463 | - |
| 3.3228 | 7480 | 0.0472 | - |
| 3.3273 | 7490 | 0.0471 | - |
| 3.3317 | 7500 | 0.0446 | - |
| 3.3361 | 7510 | 0.0394 | - |
| 3.3406 | 7520 | 0.0461 | - |
| 3.3450 | 7530 | 0.0477 | - |
| 3.3495 | 7540 | 0.046 | - |
| 3.3539 | 7550 | 0.0503 | - |
| 3.3583 | 7560 | 0.0336 | - |
| 3.3628 | 7570 | 0.0518 | - |
| 3.3672 | 7580 | 0.0473 | - |
| 3.3717 | 7590 | 0.0425 | - |
| 3.3761 | 7600 | 0.0518 | - |
| 3.3806 | 7610 | 0.0493 | - |
| 3.3850 | 7620 | 0.0482 | - |
| 3.3894 | 7630 | 0.0388 | - |
| 3.3939 | 7640 | 0.0412 | - |
| 3.3983 | 7650 | 0.0381 | - |
| 3.4028 | 7660 | 0.0357 | - |
| 3.4072 | 7670 | 0.0485 | - |
| 3.4116 | 7680 | 0.0485 | - |
| 3.4161 | 7690 | 0.0461 | - |
| 3.4205 | 7700 | 0.045 | - |
| 3.4250 | 7710 | 0.0379 | - |
| 3.4294 | 7720 | 0.0493 | - |
| 3.4338 | 7730 | 0.0443 | - |
| 3.4383 | 7740 | 0.0343 | - |
| 3.4427 | 7750 | 0.0484 | - |
| 3.4472 | 7760 | 0.0407 | - |
| 3.4516 | 7770 | 0.0413 | - |
| 3.4560 | 7780 | 0.0337 | - |
| 3.4605 | 7790 | 0.0477 | - |
| 3.4649 | 7800 | 0.0414 | - |
| 3.4694 | 7810 | 0.0396 | - |
| 3.4738 | 7820 | 0.04 | - |
| 3.4782 | 7830 | 0.052 | - |
| 3.4827 | 7840 | 0.0389 | - |
| 3.4871 | 7850 | 0.0447 | - |
| 3.4916 | 7860 | 0.039 | - |
| 3.4960 | 7870 | 0.0504 | - |
| 3.5004 | 7880 | 0.0435 | - |
| 3.5049 | 7890 | 0.0387 | - |
| 3.5093 | 7900 | 0.0417 | - |
| 3.5138 | 7910 | 0.0406 | - |
| 3.5182 | 7920 | 0.0429 | - |
| 3.5226 | 7930 | 0.046 | - |
| 3.5271 | 7940 | 0.0419 | - |
| 3.5315 | 7950 | 0.0457 | - |
| 3.5360 | 7960 | 0.0538 | - |
| 3.5404 | 7970 | 0.0487 | - |
| 3.5448 | 7980 | 0.0472 | - |
| 3.5493 | 7990 | 0.0431 | - |
| 3.5537 | 8000 | 0.0407 | 0.0438 |
| 3.5582 | 8010 | 0.0355 | - |
| 3.5626 | 8020 | 0.0431 | - |
| 3.5671 | 8030 | 0.0417 | - |
| 3.5715 | 8040 | 0.0439 | - |
| 3.5759 | 8050 | 0.0383 | - |
| 3.5804 | 8060 | 0.0464 | - |
| 3.5848 | 8070 | 0.0506 | - |
| 3.5893 | 8080 | 0.0512 | - |
| 3.5937 | 8090 | 0.0418 | - |
| 3.5981 | 8100 | 0.0428 | - |
| 3.6026 | 8110 | 0.0468 | - |
| 3.6070 | 8120 | 0.0444 | - |
| 3.6115 | 8130 | 0.0419 | - |
| 3.6159 | 8140 | 0.0387 | - |
| 3.6203 | 8150 | 0.0397 | - |
| 3.6248 | 8160 | 0.0421 | - |
| 3.6292 | 8170 | 0.0481 | - |
| 3.6337 | 8180 | 0.0414 | - |
| 3.6381 | 8190 | 0.0414 | - |
| 3.6425 | 8200 | 0.0487 | - |
| 3.6470 | 8210 | 0.0413 | - |
| 3.6514 | 8220 | 0.0349 | - |
| 3.6559 | 8230 | 0.0428 | - |
| 3.6603 | 8240 | 0.0446 | - |
| 3.6647 | 8250 | 0.0573 | - |
| 3.6692 | 8260 | 0.0498 | - |
| 3.6736 | 8270 | 0.0374 | - |
| 3.6781 | 8280 | 0.0445 | - |
| 3.6825 | 8290 | 0.0431 | - |
| 3.6869 | 8300 | 0.0395 | - |
| 3.6914 | 8310 | 0.0395 | - |
| 3.6958 | 8320 | 0.0332 | - |
| 3.7003 | 8330 | 0.041 | - |
| 3.7047 | 8340 | 0.0396 | - |
| 3.7091 | 8350 | 0.0416 | - |
| 3.7136 | 8360 | 0.0402 | - |
| 3.7180 | 8370 | 0.0407 | - |
| 3.7225 | 8380 | 0.0373 | - |
| 3.7269 | 8390 | 0.0385 | - |
| 3.7313 | 8400 | 0.0451 | - |
| 3.7358 | 8410 | 0.0466 | - |
| 3.7402 | 8420 | 0.0439 | - |
| 3.7447 | 8430 | 0.0271 | - |
| 3.7491 | 8440 | 0.0447 | - |
| 3.7536 | 8450 | 0.0426 | - |
| 3.7580 | 8460 | 0.0346 | - |
| 3.7624 | 8470 | 0.0373 | - |
| 3.7669 | 8480 | 0.0479 | - |
| 3.7713 | 8490 | 0.0377 | - |
| 3.7758 | 8500 | 0.0394 | - |
| 3.7802 | 8510 | 0.0365 | - |
| 3.7846 | 8520 | 0.0362 | - |
| 3.7891 | 8530 | 0.0455 | - |
| 3.7935 | 8540 | 0.0545 | - |
| 3.7980 | 8550 | 0.0411 | - |
| 3.8024 | 8560 | 0.0396 | - |
| 3.8068 | 8570 | 0.0491 | - |
| 3.8113 | 8580 | 0.0525 | - |
| 3.8157 | 8590 | 0.0415 | - |
| 3.8202 | 8600 | 0.0416 | - |
| 3.8246 | 8610 | 0.0445 | - |
| 3.8290 | 8620 | 0.045 | - |
| 3.8335 | 8630 | 0.0406 | - |
| 3.8379 | 8640 | 0.0413 | - |
| 3.8424 | 8650 | 0.0484 | - |
| 3.8468 | 8660 | 0.036 | - |
| 3.8512 | 8670 | 0.041 | - |
| 3.8557 | 8680 | 0.0398 | - |
| 3.8601 | 8690 | 0.0413 | - |
| 3.8646 | 8700 | 0.0386 | - |
| 3.8690 | 8710 | 0.0362 | - |
| 3.8734 | 8720 | 0.044 | - |
| 3.8779 | 8730 | 0.034 | - |
| 3.8823 | 8740 | 0.0384 | - |
| 3.8868 | 8750 | 0.0449 | - |
| 3.8912 | 8760 | 0.047 | - |
| 3.8956 | 8770 | 0.0447 | - |
| 3.9001 | 8780 | 0.0375 | - |
| 3.9045 | 8790 | 0.0344 | - |
| 3.9090 | 8800 | 0.0375 | - |
| 3.9134 | 8810 | 0.0417 | - |
| 3.9179 | 8820 | 0.0407 | - |
| 3.9223 | 8830 | 0.0381 | - |
| 3.9267 | 8840 | 0.0428 | - |
| 3.9312 | 8850 | 0.0378 | - |
| 3.9356 | 8860 | 0.035 | - |
| 3.9401 | 8870 | 0.0452 | - |
| 3.9445 | 8880 | 0.0378 | - |
| 3.9489 | 8890 | 0.04 | - |
| 3.9534 | 8900 | 0.032 | - |
| 3.9578 | 8910 | 0.0436 | - |
| 3.9623 | 8920 | 0.0433 | - |
| 3.9667 | 8930 | 0.0355 | - |
| 3.9711 | 8940 | 0.0437 | - |
| 3.9756 | 8950 | 0.0331 | - |
| 3.9800 | 8960 | 0.0437 | - |
| 3.9845 | 8970 | 0.0466 | - |
| 3.9889 | 8980 | 0.0373 | - |
| 3.9933 | 8990 | 0.0346 | - |
| 3.9978 | 9000 | 0.0354 | 0.0419 |
| 4.0027 | 9010 | 0.0416 | - |
| 4.0071 | 9020 | 0.0393 | - |
| 4.0115 | 9030 | 0.036 | - |
| 4.0160 | 9040 | 0.0361 | - |
| 4.0204 | 9050 | 0.0337 | - |
| 4.0249 | 9060 | 0.0417 | - |
| 4.0293 | 9070 | 0.0362 | - |
| 4.0337 | 9080 | 0.0369 | - |
| 4.0382 | 9090 | 0.0344 | - |
| 4.0426 | 9100 | 0.0314 | - |
| 4.0471 | 9110 | 0.0392 | - |
| 4.0515 | 9120 | 0.0344 | - |
| 4.0560 | 9130 | 0.0364 | - |
| 4.0604 | 9140 | 0.0376 | - |
| 4.0648 | 9150 | 0.0305 | - |
| 4.0693 | 9160 | 0.0385 | - |
| 4.0737 | 9170 | 0.0288 | - |
| 4.0782 | 9180 | 0.0339 | - |
| 4.0826 | 9190 | 0.0382 | - |
| 4.0870 | 9200 | 0.0313 | - |
| 4.0915 | 9210 | 0.0332 | - |
| 4.0959 | 9220 | 0.0333 | - |
| 4.1004 | 9230 | 0.0313 | - |
| 4.1048 | 9240 | 0.0326 | - |
| 4.1092 | 9250 | 0.042 | - |
| 4.1137 | 9260 | 0.0302 | - |
| 4.1181 | 9270 | 0.0384 | - |
| 4.1226 | 9280 | 0.035 | - |
| 4.1270 | 9290 | 0.0369 | - |
| 4.1314 | 9300 | 0.041 | - |
| 4.1359 | 9310 | 0.0366 | - |
| 4.1403 | 9320 | 0.0422 | - |
| 4.1448 | 9330 | 0.037 | - |
| 4.1492 | 9340 | 0.037 | - |
| 4.1536 | 9350 | 0.0446 | - |
| 4.1581 | 9360 | 0.0374 | - |
| 4.1625 | 9370 | 0.0337 | - |
| 4.1670 | 9380 | 0.0327 | - |
| 4.1714 | 9390 | 0.032 | - |
| 4.1758 | 9400 | 0.0322 | - |
| 4.1803 | 9410 | 0.0454 | - |
| 4.1847 | 9420 | 0.0294 | - |
| 4.1892 | 9430 | 0.0368 | - |
| 4.1936 | 9440 | 0.0395 | - |
| 4.1980 | 9450 | 0.0362 | - |
| 4.2025 | 9460 | 0.0368 | - |
| 4.2069 | 9470 | 0.0412 | - |
| 4.2114 | 9480 | 0.033 | - |
| 4.2158 | 9490 | 0.0379 | - |
| 4.2202 | 9500 | 0.0375 | - |
| 4.2247 | 9510 | 0.0333 | - |
| 4.2291 | 9520 | 0.0391 | - |
| 4.2336 | 9530 | 0.0313 | - |
| 4.2380 | 9540 | 0.0374 | - |
| 4.2425 | 9550 | 0.0382 | - |
| 4.2469 | 9560 | 0.0342 | - |
| 4.2513 | 9570 | 0.0363 | - |
| 4.2558 | 9580 | 0.0374 | - |
| 4.2602 | 9590 | 0.0359 | - |
| 4.2647 | 9600 | 0.0299 | - |
| 4.2691 | 9610 | 0.0358 | - |
| 4.2735 | 9620 | 0.0375 | - |
| 4.2780 | 9630 | 0.033 | - |
| 4.2824 | 9640 | 0.0394 | - |
| 4.2869 | 9650 | 0.035 | - |
| 4.2913 | 9660 | 0.0325 | - |
| 4.2957 | 9670 | 0.0352 | - |
| 4.3002 | 9680 | 0.0341 | - |
| 4.3046 | 9690 | 0.0331 | - |
| 4.3091 | 9700 | 0.0357 | - |
| 4.3135 | 9710 | 0.0399 | - |
| 4.3179 | 9720 | 0.0395 | - |
| 4.3224 | 9730 | 0.0378 | - |
| 4.3268 | 9740 | 0.0346 | - |
| 4.3313 | 9750 | 0.036 | - |
| 4.3357 | 9760 | 0.0384 | - |
| 4.3401 | 9770 | 0.0364 | - |
| 4.3446 | 9780 | 0.0368 | - |
| 4.3490 | 9790 | 0.0323 | - |
| 4.3535 | 9800 | 0.04 | - |
| 4.3579 | 9810 | 0.0313 | - |
| 4.3623 | 9820 | 0.0336 | - |
| 4.3668 | 9830 | 0.0354 | - |
| 4.3712 | 9840 | 0.0373 | - |
| 4.3757 | 9850 | 0.0346 | - |
| 4.3801 | 9860 | 0.0393 | - |
| 4.3845 | 9870 | 0.034 | - |
| 4.3890 | 9880 | 0.04 | - |
| 4.3934 | 9890 | 0.0343 | - |
| 4.3979 | 9900 | 0.0341 | - |
| 4.4023 | 9910 | 0.0281 | - |
| 4.4067 | 9920 | 0.0314 | - |
| 4.4112 | 9930 | 0.0318 | - |
| 4.4156 | 9940 | 0.0446 | - |
| 4.4201 | 9950 | 0.039 | - |
| 4.4245 | 9960 | 0.0362 | - |
| 4.4290 | 9970 | 0.0386 | - |
| 4.4334 | 9980 | 0.0294 | - |
| 4.4378 | 9990 | 0.0366 | - |
| 4.4423 | 10000 | 0.0384 | 0.0402 |
| 4.4467 | 10010 | 0.0387 | - |
| 4.4512 | 10020 | 0.037 | - |
| 4.4556 | 10030 | 0.0335 | - |
| 4.4600 | 10040 | 0.044 | - |
| 4.4645 | 10050 | 0.0357 | - |
| 4.4689 | 10060 | 0.0365 | - |
| 4.4734 | 10070 | 0.0374 | - |
| 4.4778 | 10080 | 0.0366 | - |
| 4.4822 | 10090 | 0.0325 | - |
| 4.4867 | 10100 | 0.0341 | - |
| 4.4911 | 10110 | 0.0403 | - |
| 4.4956 | 10120 | 0.0381 | - |
| 4.5 | 10130 | 0.0396 | - |
| 4.5044 | 10140 | 0.0524 | - |
| 4.5089 | 10150 | 0.0343 | - |
| 4.5133 | 10160 | 0.0334 | - |
| 4.5178 | 10170 | 0.0341 | - |
| 4.5222 | 10180 | 0.0372 | - |
| 4.5266 | 10190 | 0.0343 | - |
| 4.5311 | 10200 | 0.0353 | - |
| 4.5355 | 10210 | 0.0374 | - |
| 4.5400 | 10220 | 0.0319 | - |
| 4.5444 | 10230 | 0.0442 | - |
| 4.5488 | 10240 | 0.0358 | - |
| 4.5533 | 10250 | 0.0331 | - |
| 4.5577 | 10260 | 0.0284 | - |
| 4.5622 | 10270 | 0.038 | - |
| 4.5666 | 10280 | 0.0372 | - |
| 4.5710 | 10290 | 0.0317 | - |
| 4.5755 | 10300 | 0.037 | - |
| 4.5799 | 10310 | 0.0358 | - |
| 4.5844 | 10320 | 0.0368 | - |
| 4.5888 | 10330 | 0.0463 | - |
| 4.5933 | 10340 | 0.0365 | - |
| 4.5977 | 10350 | 0.0382 | - |
| 4.6021 | 10360 | 0.0347 | - |
| 4.6066 | 10370 | 0.0377 | - |
| 4.6110 | 10380 | 0.0331 | - |
| 4.6155 | 10390 | 0.032 | - |
| 4.6199 | 10400 | 0.0363 | - |
| 4.6243 | 10410 | 0.0424 | - |
| 4.6288 | 10420 | 0.0361 | - |
| 4.6332 | 10430 | 0.0347 | - |
| 4.6377 | 10440 | 0.0394 | - |
| 4.6421 | 10450 | 0.0381 | - |
| 4.6465 | 10460 | 0.0294 | - |
| 4.6510 | 10470 | 0.0361 | - |
| 4.6554 | 10480 | 0.0342 | - |
| 4.6599 | 10490 | 0.0398 | - |
| 4.6643 | 10500 | 0.0396 | - |
| 4.6687 | 10510 | 0.0367 | - |
| 4.6732 | 10520 | 0.0294 | - |
| 4.6776 | 10530 | 0.0318 | - |
| 4.6821 | 10540 | 0.0398 | - |
| 4.6865 | 10550 | 0.0379 | - |
| 4.6909 | 10560 | 0.0328 | - |
| 4.6954 | 10570 | 0.0307 | - |
| 4.6998 | 10580 | 0.0415 | - |
| 4.7043 | 10590 | 0.0343 | - |
| 4.7087 | 10600 | 0.0367 | - |
| 4.7131 | 10610 | 0.0406 | - |
| 4.7176 | 10620 | 0.0384 | - |
| 4.7220 | 10630 | 0.0345 | - |
| 4.7265 | 10640 | 0.0445 | - |
| 4.7309 | 10650 | 0.0433 | - |
| 4.7353 | 10660 | 0.0438 | - |
| 4.7398 | 10670 | 0.0364 | - |
| 4.7442 | 10680 | 0.0397 | - |
| 4.7487 | 10690 | 0.0362 | - |
| 4.7531 | 10700 | 0.0312 | - |
| 4.7575 | 10710 | 0.0283 | - |
| 4.7620 | 10720 | 0.0417 | - |
| 4.7664 | 10730 | 0.037 | - |
| 4.7709 | 10740 | 0.0371 | - |
| 4.7753 | 10750 | 0.0344 | - |
| 4.7798 | 10760 | 0.0308 | - |
| 4.7842 | 10770 | 0.0404 | - |
| 4.7886 | 10780 | 0.0405 | - |
| 4.7931 | 10790 | 0.0342 | - |
| 4.7975 | 10800 | 0.0401 | - |
| 4.8020 | 10810 | 0.0355 | - |
| 4.8064 | 10820 | 0.0455 | - |
| 4.8108 | 10830 | 0.0442 | - |
| 4.8153 | 10840 | 0.0391 | - |
| 4.8197 | 10850 | 0.038 | - |
| 4.8242 | 10860 | 0.0367 | - |
| 4.8286 | 10870 | 0.0394 | - |
| 4.8330 | 10880 | 0.0488 | - |
| 4.8375 | 10890 | 0.0377 | - |
| 4.8419 | 10900 | 0.0343 | - |
| 4.8464 | 10910 | 0.0422 | - |
| 4.8508 | 10920 | 0.0383 | - |
| 4.8552 | 10930 | 0.0332 | - |
| 4.8597 | 10940 | 0.038 | - |
| 4.8641 | 10950 | 0.0483 | - |
| 4.8686 | 10960 | 0.0414 | - |
| 4.8730 | 10970 | 0.0419 | - |
| 4.8774 | 10980 | 0.0369 | - |
| 4.8819 | 10990 | 0.0313 | - |
| 4.8863 | 11000 | 0.039 | 0.0375 |
| 4.8908 | 11010 | 0.034 | - |
| 4.8952 | 11020 | 0.0385 | - |
| 4.8996 | 11030 | 0.0401 | - |
| 4.9041 | 11040 | 0.0389 | - |
| 4.9085 | 11050 | 0.0304 | - |
| 4.9130 | 11060 | 0.0415 | - |
| 4.9174 | 11070 | 0.0369 | - |
| 4.9218 | 11080 | 0.0432 | - |
| 4.9263 | 11090 | 0.0308 | - |
| 4.9307 | 11100 | 0.0302 | - |
| 4.9352 | 11110 | 0.0435 | - |
| 4.9396 | 11120 | 0.0491 | - |
| 4.9440 | 11130 | 0.0386 | - |
| 4.9485 | 11140 | 0.0361 | - |
| 4.9529 | 11150 | 0.0409 | - |
| 4.9574 | 11160 | 0.0345 | - |
| 4.9618 | 11170 | 0.0372 | - |
| 4.9663 | 11180 | 0.0399 | - |
| 4.9707 | 11190 | 0.0394 | - |
| 4.9751 | 11200 | 0.0451 | - |
| 4.9796 | 11210 | 0.0311 | - |
| 4.9840 | 11220 | 0.0296 | - |
| 4.9885 | 11230 | 0.0256 | - |
| 4.9929 | 11240 | 0.0337 | - |
| 4.9973 | 11250 | 0.0308 | - |
| 5.0022 | 11260 | 0.0315 | - |
| 5.0067 | 11270 | 0.0296 | - |
| 5.0111 | 11280 | 0.0333 | - |
| 5.0155 | 11290 | 0.0279 | - |
| 5.0200 | 11300 | 0.0255 | - |
| 5.0244 | 11310 | 0.0321 | - |
| 5.0289 | 11320 | 0.0327 | - |
| 5.0333 | 11330 | 0.0271 | - |
| 5.0377 | 11340 | 0.0334 | - |
| 5.0422 | 11350 | 0.0313 | - |
| 5.0466 | 11360 | 0.026 | - |
| 5.0511 | 11370 | 0.0223 | - |
| 5.0555 | 11380 | 0.0323 | - |
| 5.0599 | 11390 | 0.0354 | - |
| 5.0644 | 11400 | 0.0244 | - |
| 5.0688 | 11410 | 0.0338 | - |
| 5.0733 | 11420 | 0.0186 | - |
| 5.0777 | 11430 | 0.0274 | - |
| 5.0821 | 11440 | 0.029 | - |
| 5.0866 | 11450 | 0.0289 | - |
| 5.0910 | 11460 | 0.024 | - |
| 5.0955 | 11470 | 0.0268 | - |
| 5.0999 | 11480 | 0.0281 | - |
| 5.1044 | 11490 | 0.0232 | - |
| 5.1088 | 11500 | 0.0273 | - |
| 5.1132 | 11510 | 0.0288 | - |
| 5.1177 | 11520 | 0.0283 | - |
| 5.1221 | 11530 | 0.0351 | - |
| 5.1266 | 11540 | 0.0314 | - |
| 5.1310 | 11550 | 0.0398 | - |
| 5.1354 | 11560 | 0.0316 | - |
| 5.1399 | 11570 | 0.0351 | - |
| 5.1443 | 11580 | 0.0374 | - |
| 5.1488 | 11590 | 0.0242 | - |
| 5.1532 | 11600 | 0.0315 | - |
| 5.1576 | 11610 | 0.0339 | - |
| 5.1621 | 11620 | 0.0261 | - |
| 5.1665 | 11630 | 0.0361 | - |
| 5.1710 | 11640 | 0.0256 | - |
| 5.1754 | 11650 | 0.0246 | - |
| 5.1798 | 11660 | 0.0291 | - |
| 5.1843 | 11670 | 0.0316 | - |
| 5.1887 | 11680 | 0.031 | - |
| 5.1932 | 11690 | 0.03 | - |
| 5.1976 | 11700 | 0.0323 | - |
| 5.2020 | 11710 | 0.0394 | - |
| 5.2065 | 11720 | 0.0309 | - |
| 5.2109 | 11730 | 0.0363 | - |
| 5.2154 | 11740 | 0.0341 | - |
| 5.2198 | 11750 | 0.0296 | - |
| 5.2242 | 11760 | 0.0305 | - |
| 5.2287 | 11770 | 0.0329 | - |
| 5.2331 | 11780 | 0.0316 | - |
| 5.2376 | 11790 | 0.0305 | - |
| 5.2420 | 11800 | 0.0394 | - |
| 5.2464 | 11810 | 0.0313 | - |
| 5.2509 | 11820 | 0.0303 | - |
| 5.2553 | 11830 | 0.028 | - |
| 5.2598 | 11840 | 0.0315 | - |
| 5.2642 | 11850 | 0.0276 | - |
| 5.2687 | 11860 | 0.0266 | - |
| 5.2731 | 11870 | 0.0305 | - |
| 5.2775 | 11880 | 0.0373 | - |
| 5.2820 | 11890 | 0.0315 | - |
| 5.2864 | 11900 | 0.0339 | - |
| 5.2909 | 11910 | 0.0314 | - |
| 5.2953 | 11920 | 0.0354 | - |
| 5.2997 | 11930 | 0.0307 | - |
| 5.3042 | 11940 | 0.0333 | - |
| 5.3086 | 11950 | 0.0448 | - |
| 5.3131 | 11960 | 0.028 | - |
| 5.3175 | 11970 | 0.0311 | - |
| 5.3219 | 11980 | 0.0271 | - |
| 5.3264 | 11990 | 0.0296 | - |
| 5.3308 | 12000 | 0.0203 | 0.0358 |
| 5.3353 | 12010 | 0.0282 | - |
| 5.3397 | 12020 | 0.0267 | - |
| 5.3441 | 12030 | 0.0299 | - |
| 5.3486 | 12040 | 0.0301 | - |
| 5.3530 | 12050 | 0.0316 | - |
| 5.3575 | 12060 | 0.0295 | - |
| 5.3619 | 12070 | 0.0321 | - |
| 5.3663 | 12080 | 0.0357 | - |
| 5.3708 | 12090 | 0.0356 | - |
| 5.3752 | 12100 | 0.0302 | - |
| 5.3797 | 12110 | 0.0345 | - |
| 5.3841 | 12120 | 0.0319 | - |
| 5.3885 | 12130 | 0.0311 | - |
| 5.3930 | 12140 | 0.0323 | - |
| 5.3974 | 12150 | 0.0311 | - |
| 5.4019 | 12160 | 0.0266 | - |
| 5.4063 | 12170 | 0.0303 | - |
| 5.4107 | 12180 | 0.0284 | - |
| 5.4152 | 12190 | 0.0315 | - |
| 5.4196 | 12200 | 0.0288 | - |
| 5.4241 | 12210 | 0.0287 | - |
| 5.4285 | 12220 | 0.0397 | - |
| 5.4329 | 12230 | 0.0284 | - |
| 5.4374 | 12240 | 0.0374 | - |
| 5.4418 | 12250 | 0.0306 | - |
| 5.4463 | 12260 | 0.0331 | - |
| 5.4507 | 12270 | 0.0331 | - |
| 5.4552 | 12280 | 0.0325 | - |
| 5.4596 | 12290 | 0.0339 | - |
| 5.4640 | 12300 | 0.0285 | - |
| 5.4685 | 12310 | 0.0267 | - |
| 5.4729 | 12320 | 0.0362 | - |
| 5.4774 | 12330 | 0.0303 | - |
| 5.4818 | 12340 | 0.0352 | - |
| 5.4862 | 12350 | 0.0364 | - |
| 5.4907 | 12360 | 0.0305 | - |
| 5.4951 | 12370 | 0.0393 | - |
| 5.4996 | 12380 | 0.0283 | - |
| 5.5040 | 12390 | 0.0275 | - |
| 5.5084 | 12400 | 0.0384 | - |
| 5.5129 | 12410 | 0.0333 | - |
| 5.5173 | 12420 | 0.0274 | - |
| 5.5218 | 12430 | 0.0267 | - |
| 5.5262 | 12440 | 0.0299 | - |
| 5.5306 | 12450 | 0.0324 | - |
| 5.5351 | 12460 | 0.0329 | - |
| 5.5395 | 12470 | 0.0243 | - |
| 5.5440 | 12480 | 0.0236 | - |
| 5.5484 | 12490 | 0.0321 | - |
| 5.5528 | 12500 | 0.0258 | - |
| 5.5573 | 12510 | 0.0322 | - |
| 5.5617 | 12520 | 0.0319 | - |
| 5.5662 | 12530 | 0.0317 | - |
| 5.5706 | 12540 | 0.0367 | - |
| 5.5750 | 12550 | 0.0308 | - |
| 5.5795 | 12560 | 0.0371 | - |
| 5.5839 | 12570 | 0.0325 | - |
| 5.5884 | 12580 | 0.0372 | - |
| 5.5928 | 12590 | 0.0355 | - |
| 5.5972 | 12600 | 0.0275 | - |
| 5.6017 | 12610 | 0.0339 | - |
| 5.6061 | 12620 | 0.0249 | - |
| 5.6106 | 12630 | 0.0341 | - |
| 5.6150 | 12640 | 0.0304 | - |
| 5.6194 | 12650 | 0.0315 | - |
| 5.6239 | 12660 | 0.0278 | - |
| 5.6283 | 12670 | 0.0287 | - |
| 5.6328 | 12680 | 0.0356 | - |
| 5.6372 | 12690 | 0.0366 | - |
| 5.6417 | 12700 | 0.0281 | - |
| 5.6461 | 12710 | 0.0291 | - |
| 5.6505 | 12720 | 0.0344 | - |
| 5.6550 | 12730 | 0.031 | - |
| 5.6594 | 12740 | 0.0341 | - |
| 5.6639 | 12750 | 0.0308 | - |
| 5.6683 | 12760 | 0.0271 | - |
| 5.6727 | 12770 | 0.0268 | - |
| 5.6772 | 12780 | 0.0348 | - |
| 5.6816 | 12790 | 0.0281 | - |
| 5.6861 | 12800 | 0.028 | - |
| 5.6905 | 12810 | 0.0289 | - |
| 5.6949 | 12820 | 0.0318 | - |
| 5.6994 | 12830 | 0.0344 | - |
| 5.7038 | 12840 | 0.0312 | - |
| 5.7083 | 12850 | 0.0351 | - |
| 5.7127 | 12860 | 0.0341 | - |
| 5.7171 | 12870 | 0.0267 | - |
| 5.7216 | 12880 | 0.0294 | - |
| 5.7260 | 12890 | 0.0297 | - |
| 5.7305 | 12900 | 0.0404 | - |
| 5.7349 | 12910 | 0.0282 | - |
| 5.7393 | 12920 | 0.0304 | - |
| 5.7438 | 12930 | 0.0346 | - |
| 5.7482 | 12940 | 0.0327 | - |
| 5.7527 | 12950 | 0.0275 | - |
| 5.7571 | 12960 | 0.0347 | - |
| 5.7615 | 12970 | 0.0346 | - |
| 5.7660 | 12980 | 0.0257 | - |
| 5.7704 | 12990 | 0.0337 | - |
| 5.7749 | 13000 | 0.0348 | 0.0337 |
| 5.7793 | 13010 | 0.0246 | - |
| 5.7837 | 13020 | 0.033 | - |
| 5.7882 | 13030 | 0.0297 | - |
| 5.7926 | 13040 | 0.0282 | - |
| 5.7971 | 13050 | 0.0249 | - |
| 5.8015 | 13060 | 0.0279 | - |
| 5.8060 | 13070 | 0.0323 | - |
| 5.8104 | 13080 | 0.03 | - |
| 5.8148 | 13090 | 0.0321 | - |
| 5.8193 | 13100 | 0.028 | - |
| 5.8237 | 13110 | 0.0372 | - |
| 5.8282 | 13120 | 0.0345 | - |
| 5.8326 | 13130 | 0.0334 | - |
| 5.8370 | 13140 | 0.033 | - |
| 5.8415 | 13150 | 0.0296 | - |
| 5.8459 | 13160 | 0.0299 | - |
| 5.8504 | 13170 | 0.0309 | - |
| 5.8548 | 13180 | 0.0322 | - |
| 5.8592 | 13190 | 0.0342 | - |
| 5.8637 | 13200 | 0.0275 | - |
| 5.8681 | 13210 | 0.0313 | - |
| 5.8726 | 13220 | 0.0287 | - |
| 5.8770 | 13230 | 0.0238 | - |
| 5.8814 | 13240 | 0.0339 | - |
| 5.8859 | 13250 | 0.0269 | - |
| 5.8903 | 13260 | 0.0274 | - |
| 5.8948 | 13270 | 0.0284 | - |
| 5.8992 | 13280 | 0.031 | - |
| 5.9036 | 13290 | 0.025 | - |
| 5.9081 | 13300 | 0.0333 | - |
| 5.9125 | 13310 | 0.029 | - |
| 5.9170 | 13320 | 0.0303 | - |
| 5.9214 | 13330 | 0.0273 | - |
| 5.9258 | 13340 | 0.03 | - |
| 5.9303 | 13350 | 0.0333 | - |
| 5.9347 | 13360 | 0.0319 | - |
| 5.9392 | 13370 | 0.0353 | - |
| 5.9436 | 13380 | 0.0263 | - |
| 5.9480 | 13390 | 0.0289 | - |
| 5.9525 | 13400 | 0.0319 | - |
| 5.9569 | 13410 | 0.0319 | - |
| 5.9614 | 13420 | 0.031 | - |
| 5.9658 | 13430 | 0.0345 | - |
| 5.9702 | 13440 | 0.0283 | - |
| 5.9747 | 13450 | 0.0323 | - |
| 5.9791 | 13460 | 0.0374 | - |
| 5.9836 | 13470 | 0.0301 | - |
| 5.9880 | 13480 | 0.0314 | - |
| 5.9925 | 13490 | 0.0282 | - |
| 5.9969 | 13500 | 0.0296 | - |
| 6.0018 | 13510 | 0.0293 | - |
| 6.0062 | 13520 | 0.0219 | - |
| 6.0107 | 13530 | 0.0233 | - |
| 6.0151 | 13540 | 0.0269 | - |
| 6.0195 | 13550 | 0.0282 | - |
| 6.0240 | 13560 | 0.0287 | - |
| 6.0284 | 13570 | 0.0265 | - |
| 6.0329 | 13580 | 0.0272 | - |
| 6.0373 | 13590 | 0.0232 | - |
| 6.0417 | 13600 | 0.0261 | - |
| 6.0462 | 13610 | 0.0289 | - |
| 6.0506 | 13620 | 0.0281 | - |
| 6.0551 | 13630 | 0.0279 | - |
| 6.0595 | 13640 | 0.0227 | - |
| 6.0639 | 13650 | 0.0254 | - |
| 6.0684 | 13660 | 0.024 | - |
| 6.0728 | 13670 | 0.0266 | - |
| 6.0773 | 13680 | 0.0272 | - |
| 6.0817 | 13690 | 0.0277 | - |
| 6.0861 | 13700 | 0.0232 | - |
| 6.0906 | 13710 | 0.0263 | - |
| 6.0950 | 13720 | 0.026 | - |
| 6.0995 | 13730 | 0.0217 | - |
| 6.1039 | 13740 | 0.0237 | - |
| 6.1083 | 13750 | 0.0305 | - |
| 6.1128 | 13760 | 0.0319 | - |
| 6.1172 | 13770 | 0.0221 | - |
| 6.1217 | 13780 | 0.0287 | - |
| 6.1261 | 13790 | 0.0302 | - |
| 6.1306 | 13800 | 0.0285 | - |
| 6.1350 | 13810 | 0.0239 | - |
| 6.1394 | 13820 | 0.0256 | - |
| 6.1439 | 13830 | 0.0238 | - |
| 6.1483 | 13840 | 0.0239 | - |
| 6.1528 | 13850 | 0.0227 | - |
| 6.1572 | 13860 | 0.0308 | - |
| 6.1616 | 13870 | 0.0289 | - |
| 6.1661 | 13880 | 0.0278 | - |
| 6.1705 | 13890 | 0.0256 | - |
| 6.1750 | 13900 | 0.0254 | - |
| 6.1794 | 13910 | 0.0252 | - |
| 6.1838 | 13920 | 0.0255 | - |
| 6.1883 | 13930 | 0.0293 | - |
| 6.1927 | 13940 | 0.0229 | - |
| 6.1972 | 13950 | 0.0258 | - |
| 6.2016 | 13960 | 0.025 | - |
| 6.2060 | 13970 | 0.026 | - |
| 6.2105 | 13980 | 0.0237 | - |
| 6.2149 | 13990 | 0.025 | - |
| 6.2194 | 14000 | 0.0365 | 0.0324 |
| 6.2238 | 14010 | 0.0279 | - |
| 6.2282 | 14020 | 0.0297 | - |
| 6.2327 | 14030 | 0.0288 | - |
| 6.2371 | 14040 | 0.0238 | - |
| 6.2416 | 14050 | 0.0291 | - |
| 6.2460 | 14060 | 0.0282 | - |
| 6.2504 | 14070 | 0.0281 | - |
| 6.2549 | 14080 | 0.0268 | - |
| 6.2593 | 14090 | 0.0314 | - |
| 6.2638 | 14100 | 0.0213 | - |
| 6.2682 | 14110 | 0.02 | - |
| 6.2726 | 14120 | 0.0266 | - |
| 6.2771 | 14130 | 0.0239 | - |
| 6.2815 | 14140 | 0.0232 | - |
| 6.2860 | 14150 | 0.0277 | - |
| 6.2904 | 14160 | 0.0225 | - |
| 6.2948 | 14170 | 0.0208 | - |
| 6.2993 | 14180 | 0.0277 | - |
| 6.3037 | 14190 | 0.0289 | - |
| 6.3082 | 14200 | 0.0238 | - |
| 6.3126 | 14210 | 0.0275 | - |
| 6.3171 | 14220 | 0.0253 | - |
| 6.3215 | 14230 | 0.0293 | - |
| 6.3259 | 14240 | 0.03 | - |
| 6.3304 | 14250 | 0.0338 | - |
| 6.3348 | 14260 | 0.0314 | - |
| 6.3393 | 14270 | 0.0316 | - |
| 6.3437 | 14280 | 0.0309 | - |
| 6.3481 | 14290 | 0.0302 | - |
| 6.3526 | 14300 | 0.0317 | - |
| 6.3570 | 14310 | 0.0334 | - |
| 6.3615 | 14320 | 0.027 | - |
| 6.3659 | 14330 | 0.0262 | - |
| 6.3703 | 14340 | 0.0315 | - |
| 6.3748 | 14350 | 0.0311 | - |
| 6.3792 | 14360 | 0.0285 | - |
| 6.3837 | 14370 | 0.0226 | - |
| 6.3881 | 14380 | 0.0322 | - |
| 6.3925 | 14390 | 0.0268 | - |
| 6.3970 | 14400 | 0.031 | - |
| 6.4014 | 14410 | 0.0312 | - |
| 6.4059 | 14420 | 0.026 | - |
| 6.4103 | 14430 | 0.0235 | - |
| 6.4147 | 14440 | 0.0313 | - |
| 6.4192 | 14450 | 0.0275 | - |
| 6.4236 | 14460 | 0.0281 | - |
| 6.4281 | 14470 | 0.0255 | - |
| 6.4325 | 14480 | 0.0279 | - |
| 6.4369 | 14490 | 0.02 | - |
| 6.4414 | 14500 | 0.0271 | - |
| 6.4458 | 14510 | 0.0275 | - |
| 6.4503 | 14520 | 0.0279 | - |
| 6.4547 | 14530 | 0.0232 | - |
| 6.4591 | 14540 | 0.0269 | - |
| 6.4636 | 14550 | 0.0198 | - |
| 6.4680 | 14560 | 0.0263 | - |
| 6.4725 | 14570 | 0.0314 | - |
| 6.4769 | 14580 | 0.0286 | - |
| 6.4813 | 14590 | 0.0302 | - |
| 6.4858 | 14600 | 0.0276 | - |
| 6.4902 | 14610 | 0.0256 | - |
| 6.4947 | 14620 | 0.0218 | - |
| 6.4991 | 14630 | 0.0332 | - |
| 6.5036 | 14640 | 0.0286 | - |
| 6.5080 | 14650 | 0.0224 | - |
| 6.5124 | 14660 | 0.0308 | - |
| 6.5169 | 14670 | 0.0189 | - |
| 6.5213 | 14680 | 0.0227 | - |
| 6.5258 | 14690 | 0.0259 | - |
| 6.5302 | 14700 | 0.0258 | - |
| 6.5346 | 14710 | 0.0229 | - |
| 6.5391 | 14720 | 0.0219 | - |
| 6.5435 | 14730 | 0.0253 | - |
| 6.5480 | 14740 | 0.0303 | - |
| 6.5524 | 14750 | 0.0313 | - |
| 6.5568 | 14760 | 0.0228 | - |
| 6.5613 | 14770 | 0.0278 | - |
| 6.5657 | 14780 | 0.0306 | - |
| 6.5702 | 14790 | 0.0202 | - |
| 6.5746 | 14800 | 0.0269 | - |
| 6.5790 | 14810 | 0.0251 | - |
| 6.5835 | 14820 | 0.0277 | - |
| 6.5879 | 14830 | 0.0254 | - |
| 6.5924 | 14840 | 0.0233 | - |
| 6.5968 | 14850 | 0.0244 | - |
| 6.6012 | 14860 | 0.0237 | - |
| 6.6057 | 14870 | 0.0267 | - |
| 6.6101 | 14880 | 0.0295 | - |
| 6.6146 | 14890 | 0.0299 | - |
| 6.6190 | 14900 | 0.03 | - |
| 6.6234 | 14910 | 0.0213 | - |
| 6.6279 | 14920 | 0.0232 | - |
| 6.6323 | 14930 | 0.0253 | - |
| 6.6368 | 14940 | 0.0209 | - |
| 6.6412 | 14950 | 0.0272 | - |
| 6.6456 | 14960 | 0.0284 | - |
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| 6.6545 | 14980 | 0.0298 | - |
| 6.6590 | 14990 | 0.0268 | - |
| 6.6634 | 15000 | 0.0314 | 0.0312 |
| 6.6679 | 15010 | 0.0391 | - |
| 6.6723 | 15020 | 0.0251 | - |
| 6.6767 | 15030 | 0.0311 | - |
| 6.6812 | 15040 | 0.0239 | - |
| 6.6856 | 15050 | 0.0262 | - |
| 6.6901 | 15060 | 0.0379 | - |
| 6.6945 | 15070 | 0.0329 | - |
| 6.6989 | 15080 | 0.0285 | - |
| 6.7034 | 15090 | 0.0263 | - |
| 6.7078 | 15100 | 0.0301 | - |
| 6.7123 | 15110 | 0.028 | - |
| 6.7167 | 15120 | 0.0244 | - |
| 6.7211 | 15130 | 0.0215 | - |
| 6.7256 | 15140 | 0.0365 | - |
| 6.7300 | 15150 | 0.0244 | - |
| 6.7345 | 15160 | 0.0229 | - |
| 6.7389 | 15170 | 0.0276 | - |
| 6.7433 | 15180 | 0.0306 | - |
| 6.7478 | 15190 | 0.0274 | - |
| 6.7522 | 15200 | 0.024 | - |
| 6.7567 | 15210 | 0.0345 | - |
| 6.7611 | 15220 | 0.0254 | - |
| 6.7655 | 15230 | 0.0368 | - |
| 6.7700 | 15240 | 0.0291 | - |
| 6.7744 | 15250 | 0.0292 | - |
| 6.7789 | 15260 | 0.0273 | - |
| 6.7833 | 15270 | 0.0203 | - |
| 6.7877 | 15280 | 0.0289 | - |
| 6.7922 | 15290 | 0.0239 | - |
| 6.7966 | 15300 | 0.0287 | - |
| 6.8011 | 15310 | 0.0215 | - |
| 6.8055 | 15320 | 0.0282 | - |
| 6.8099 | 15330 | 0.0315 | - |
| 6.8144 | 15340 | 0.0236 | - |
| 6.8188 | 15350 | 0.0245 | - |
| 6.8233 | 15360 | 0.0276 | - |
| 6.8277 | 15370 | 0.0284 | - |
| 6.8321 | 15380 | 0.0202 | - |
| 6.8366 | 15390 | 0.0302 | - |
| 6.8410 | 15400 | 0.0238 | - |
| 6.8455 | 15410 | 0.0324 | - |
| 6.8499 | 15420 | 0.0257 | - |
| 6.8544 | 15430 | 0.028 | - |
| 6.8588 | 15440 | 0.0245 | - |
| 6.8632 | 15450 | 0.0338 | - |
| 6.8677 | 15460 | 0.0262 | - |
| 6.8721 | 15470 | 0.0222 | - |
| 6.8766 | 15480 | 0.0246 | - |
| 6.8810 | 15490 | 0.0247 | - |
| 6.8854 | 15500 | 0.0251 | - |
| 6.8899 | 15510 | 0.0219 | - |
| 6.8943 | 15520 | 0.024 | - |
| 6.8988 | 15530 | 0.0299 | - |
| 6.9032 | 15540 | 0.0292 | - |
| 6.9076 | 15550 | 0.0345 | - |
| 6.9121 | 15560 | 0.0275 | - |
| 6.9165 | 15570 | 0.0258 | - |
| 6.9210 | 15580 | 0.0277 | - |
| 6.9254 | 15590 | 0.0204 | - |
| 6.9298 | 15600 | 0.0201 | - |
| 6.9343 | 15610 | 0.0279 | - |
| 6.9387 | 15620 | 0.0291 | - |
| 6.9432 | 15630 | 0.0251 | - |
| 6.9476 | 15640 | 0.0346 | - |
| 6.9520 | 15650 | 0.0266 | - |
| 6.9565 | 15660 | 0.027 | - |
| 6.9609 | 15670 | 0.0201 | - |
| 6.9654 | 15680 | 0.0204 | - |
| 6.9698 | 15690 | 0.0305 | - |
| 6.9742 | 15700 | 0.0279 | - |
| 6.9787 | 15710 | 0.0277 | - |
| 6.9831 | 15720 | 0.0257 | - |
| 6.9876 | 15730 | 0.0234 | - |
| 6.9920 | 15740 | 0.0271 | - |
| 6.9964 | 15750 | 0.0254 | - |
| 7.0013 | 15760 | 0.0266 | - |
| 7.0058 | 15770 | 0.0248 | - |
| 7.0102 | 15780 | 0.0223 | - |
| 7.0147 | 15790 | 0.0239 | - |
| 7.0191 | 15800 | 0.0239 | - |
| 7.0235 | 15810 | 0.0199 | - |
| 7.0280 | 15820 | 0.0238 | - |
| 7.0324 | 15830 | 0.0226 | - |
| 7.0369 | 15840 | 0.0157 | - |
| 7.0413 | 15850 | 0.0204 | - |
| 7.0457 | 15860 | 0.0166 | - |
| 7.0502 | 15870 | 0.0208 | - |
| 7.0546 | 15880 | 0.0207 | - |
| 7.0591 | 15890 | 0.018 | - |
| 7.0635 | 15900 | 0.0268 | - |
| 7.0679 | 15910 | 0.0243 | - |
| 7.0724 | 15920 | 0.0321 | - |
| 7.0768 | 15930 | 0.0252 | - |
| 7.0813 | 15940 | 0.0221 | - |
| 7.0857 | 15950 | 0.0238 | - |
| 7.0901 | 15960 | 0.0196 | - |
| 7.0946 | 15970 | 0.0221 | - |
| 7.0990 | 15980 | 0.0243 | - |
| 7.1035 | 15990 | 0.0234 | - |
| 7.1079 | 16000 | 0.0257 | 0.0300 |
| 7.1123 | 16010 | 0.0235 | - |
| 7.1168 | 16020 | 0.0213 | - |
| 7.1212 | 16030 | 0.0246 | - |
| 7.1257 | 16040 | 0.0248 | - |
| 7.1301 | 16050 | 0.0214 | - |
| 7.1345 | 16060 | 0.0192 | - |
| 7.1390 | 16070 | 0.024 | - |
| 7.1434 | 16080 | 0.0228 | - |
| 7.1479 | 16090 | 0.0253 | - |
| 7.1523 | 16100 | 0.0264 | - |
| 7.1567 | 16110 | 0.0225 | - |
| 7.1612 | 16120 | 0.0278 | - |
| 7.1656 | 16130 | 0.0252 | - |
| 7.1701 | 16140 | 0.0183 | - |
| 7.1745 | 16150 | 0.0185 | - |
| 7.1790 | 16160 | 0.0206 | - |
| 7.1834 | 16170 | 0.0243 | - |
| 7.1878 | 16180 | 0.024 | - |
| 7.1923 | 16190 | 0.0281 | - |
| 7.1967 | 16200 | 0.0235 | - |
| 7.2012 | 16210 | 0.021 | - |
| 7.2056 | 16220 | 0.0245 | - |
| 7.2100 | 16230 | 0.0224 | - |
| 7.2145 | 16240 | 0.0169 | - |
| 7.2189 | 16250 | 0.0264 | - |
| 7.2234 | 16260 | 0.0221 | - |
| 7.2278 | 16270 | 0.0255 | - |
| 7.2322 | 16280 | 0.0224 | - |
| 7.2367 | 16290 | 0.0292 | - |
| 7.2411 | 16300 | 0.0239 | - |
| 7.2456 | 16310 | 0.0224 | - |
| 7.25 | 16320 | 0.0273 | - |
| 7.2544 | 16330 | 0.02 | - |
| 7.2589 | 16340 | 0.0234 | - |
| 7.2633 | 16350 | 0.0198 | - |
| 7.2678 | 16360 | 0.0244 | - |
| 7.2722 | 16370 | 0.0249 | - |
| 7.2766 | 16380 | 0.0183 | - |
| 7.2811 | 16390 | 0.0166 | - |
| 7.2855 | 16400 | 0.0236 | - |
| 7.2900 | 16410 | 0.0266 | - |
| 7.2944 | 16420 | 0.0273 | - |
| 7.2988 | 16430 | 0.0221 | - |
| 7.3033 | 16440 | 0.0254 | - |
| 7.3077 | 16450 | 0.0222 | - |
| 7.3122 | 16460 | 0.0232 | - |
| 7.3166 | 16470 | 0.0208 | - |
| 7.3210 | 16480 | 0.0219 | - |
| 7.3255 | 16490 | 0.0213 | - |
| 7.3299 | 16500 | 0.0191 | - |
| 7.3344 | 16510 | 0.0277 | - |
| 7.3388 | 16520 | 0.0232 | - |
| 7.3433 | 16530 | 0.0277 | - |
| 7.3477 | 16540 | 0.0216 | - |
| 7.3521 | 16550 | 0.0198 | - |
| 7.3566 | 16560 | 0.0179 | - |
| 7.3610 | 16570 | 0.0251 | - |
| 7.3655 | 16580 | 0.024 | - |
| 7.3699 | 16590 | 0.0245 | - |
| 7.3743 | 16600 | 0.0214 | - |
| 7.3788 | 16610 | 0.0233 | - |
| 7.3832 | 16620 | 0.0246 | - |
| 7.3877 | 16630 | 0.0176 | - |
| 7.3921 | 16640 | 0.0218 | - |
| 7.3965 | 16650 | 0.0194 | - |
| 7.4010 | 16660 | 0.0247 | - |
| 7.4054 | 16670 | 0.018 | - |
| 7.4099 | 16680 | 0.0212 | - |
| 7.4143 | 16690 | 0.0206 | - |
| 7.4187 | 16700 | 0.0249 | - |
| 7.4232 | 16710 | 0.0237 | - |
| 7.4276 | 16720 | 0.0217 | - |
| 7.4321 | 16730 | 0.0238 | - |
| 7.4365 | 16740 | 0.0241 | - |
| 7.4409 | 16750 | 0.0196 | - |
| 7.4454 | 16760 | 0.0242 | - |
| 7.4498 | 16770 | 0.0285 | - |
| 7.4543 | 16780 | 0.0144 | - |
| 7.4587 | 16790 | 0.0287 | - |
| 7.4631 | 16800 | 0.0241 | - |
| 7.4676 | 16810 | 0.0234 | - |
| 7.4720 | 16820 | 0.02 | - |
| 7.4765 | 16830 | 0.0226 | - |
| 7.4809 | 16840 | 0.0212 | - |
| 7.4853 | 16850 | 0.0236 | - |
| 7.4898 | 16860 | 0.0269 | - |
| 7.4942 | 16870 | 0.0269 | - |
| 7.4987 | 16880 | 0.0226 | - |
| 7.5031 | 16890 | 0.0193 | - |
| 7.5075 | 16900 | 0.0308 | - |
| 7.5120 | 16910 | 0.0289 | - |
| 7.5164 | 16920 | 0.0251 | - |
| 7.5209 | 16930 | 0.0283 | - |
| 7.5253 | 16940 | 0.0224 | - |
| 7.5298 | 16950 | 0.0237 | - |
| 7.5342 | 16960 | 0.0217 | - |
| 7.5386 | 16970 | 0.0195 | - |
| 7.5431 | 16980 | 0.0197 | - |
| 7.5475 | 16990 | 0.0289 | - |
| 7.5520 | 17000 | 0.0252 | 0.0294 |
| 7.5564 | 17010 | 0.019 | - |
| 7.5608 | 17020 | 0.0175 | - |
| 7.5653 | 17030 | 0.0235 | - |
| 7.5697 | 17040 | 0.0257 | - |
| 7.5742 | 17050 | 0.0202 | - |
| 7.5786 | 17060 | 0.0246 | - |
| 7.5830 | 17070 | 0.0221 | - |
| 7.5875 | 17080 | 0.0196 | - |
| 7.5919 | 17090 | 0.0157 | - |
| 7.5964 | 17100 | 0.0226 | - |
| 7.6008 | 17110 | 0.0227 | - |
| 7.6052 | 17120 | 0.023 | - |
| 7.6097 | 17130 | 0.0254 | - |
| 7.6141 | 17140 | 0.0213 | - |
| 7.6186 | 17150 | 0.026 | - |
| 7.6230 | 17160 | 0.0229 | - |
| 7.6274 | 17170 | 0.0247 | - |
| 7.6319 | 17180 | 0.0274 | - |
| 7.6363 | 17190 | 0.0259 | - |
| 7.6408 | 17200 | 0.0222 | - |
| 7.6452 | 17210 | 0.0218 | - |
| 7.6496 | 17220 | 0.0261 | - |
| 7.6541 | 17230 | 0.0275 | - |
| 7.6585 | 17240 | 0.0254 | - |
| 7.6630 | 17250 | 0.0223 | - |
| 7.6674 | 17260 | 0.0252 | - |
| 7.6718 | 17270 | 0.0275 | - |
| 7.6763 | 17280 | 0.0243 | - |
| 7.6807 | 17290 | 0.027 | - |
| 7.6852 | 17300 | 0.0216 | - |
| 7.6896 | 17310 | 0.0186 | - |
| 7.6940 | 17320 | 0.0213 | - |
| 7.6985 | 17330 | 0.0262 | - |
| 7.7029 | 17340 | 0.0165 | - |
| 7.7074 | 17350 | 0.0224 | - |
| 7.7118 | 17360 | 0.0254 | - |
| 7.7163 | 17370 | 0.0224 | - |
| 7.7207 | 17380 | 0.0313 | - |
| 7.7251 | 17390 | 0.0229 | - |
| 7.7296 | 17400 | 0.0194 | - |
| 7.7340 | 17410 | 0.0234 | - |
| 7.7385 | 17420 | 0.0207 | - |
| 7.7429 | 17430 | 0.0223 | - |
| 7.7473 | 17440 | 0.0231 | - |
| 7.7518 | 17450 | 0.0229 | - |
| 7.7562 | 17460 | 0.0227 | - |
| 7.7607 | 17470 | 0.0295 | - |
| 7.7651 | 17480 | 0.024 | - |
| 7.7695 | 17490 | 0.0231 | - |
| 7.7740 | 17500 | 0.0281 | - |
| 7.7784 | 17510 | 0.0245 | - |
| 7.7829 | 17520 | 0.0169 | - |
| 7.7873 | 17530 | 0.0295 | - |
| 7.7917 | 17540 | 0.0213 | - |
| 7.7962 | 17550 | 0.0242 | - |
| 7.8006 | 17560 | 0.0209 | - |
| 7.8051 | 17570 | 0.0238 | - |
| 7.8095 | 17580 | 0.0215 | - |
| 7.8139 | 17590 | 0.0255 | - |
| 7.8184 | 17600 | 0.0238 | - |
| 7.8228 | 17610 | 0.02 | - |
| 7.8273 | 17620 | 0.025 | - |
| 7.8317 | 17630 | 0.0255 | - |
| 7.8361 | 17640 | 0.0262 | - |
| 7.8406 | 17650 | 0.0187 | - |
| 7.8450 | 17660 | 0.0261 | - |
| 7.8495 | 17670 | 0.0196 | - |
| 7.8539 | 17680 | 0.0307 | - |
| 7.8583 | 17690 | 0.0243 | - |
| 7.8628 | 17700 | 0.0227 | - |
| 7.8672 | 17710 | 0.0277 | - |
| 7.8717 | 17720 | 0.0218 | - |
| 7.8761 | 17730 | 0.0289 | - |
| 7.8806 | 17740 | 0.0215 | - |
| 7.8850 | 17750 | 0.0242 | - |
| 7.8894 | 17760 | 0.0238 | - |
| 7.8939 | 17770 | 0.0237 | - |
| 7.8983 | 17780 | 0.0258 | - |
| 7.9028 | 17790 | 0.0231 | - |
| 7.9072 | 17800 | 0.024 | - |
| 7.9116 | 17810 | 0.0204 | - |
| 7.9161 | 17820 | 0.0255 | - |
| 7.9205 | 17830 | 0.031 | - |
| 7.9250 | 17840 | 0.0225 | - |
| 7.9294 | 17850 | 0.0296 | - |
| 7.9338 | 17860 | 0.0287 | - |
| 7.9383 | 17870 | 0.0207 | - |
| 7.9427 | 17880 | 0.0226 | - |
| 7.9472 | 17890 | 0.0193 | - |
| 7.9516 | 17900 | 0.022 | - |
| 7.9560 | 17910 | 0.0296 | - |
| 7.9605 | 17920 | 0.0252 | - |
| 7.9649 | 17930 | 0.022 | - |
| 7.9694 | 17940 | 0.0265 | - |
| 7.9738 | 17950 | 0.032 | - |
| 7.9782 | 17960 | 0.027 | - |
| 7.9827 | 17970 | 0.0228 | - |
| 7.9871 | 17980 | 0.0211 | - |
| 7.9916 | 17990 | 0.0211 | - |
| 7.9960 | 18000 | 0.0233 | 0.0278 |
| 8.0009 | 18010 | 0.0223 | - |
| 8.0053 | 18020 | 0.0202 | - |
| 8.0098 | 18030 | 0.0228 | - |
| 8.0142 | 18040 | 0.0222 | - |
| 8.0187 | 18050 | 0.0185 | - |
| 8.0231 | 18060 | 0.0184 | - |
| 8.0275 | 18070 | 0.0175 | - |
| 8.0320 | 18080 | 0.0177 | - |
| 8.0364 | 18090 | 0.0238 | - |
| 8.0409 | 18100 | 0.0211 | - |
| 8.0453 | 18110 | 0.0132 | - |
| 8.0497 | 18120 | 0.0191 | - |
| 8.0542 | 18130 | 0.0199 | - |
| 8.0586 | 18140 | 0.0184 | - |
| 8.0631 | 18150 | 0.0196 | - |
| 8.0675 | 18160 | 0.0173 | - |
| 8.0719 | 18170 | 0.0223 | - |
| 8.0764 | 18180 | 0.0174 | - |
| 8.0808 | 18190 | 0.0214 | - |
| 8.0853 | 18200 | 0.0176 | - |
| 8.0897 | 18210 | 0.0192 | - |
| 8.0941 | 18220 | 0.0205 | - |
| 8.0986 | 18230 | 0.0189 | - |
| 8.1030 | 18240 | 0.0178 | - |
| 8.1075 | 18250 | 0.0153 | - |
| 8.1119 | 18260 | 0.024 | - |
| 8.1163 | 18270 | 0.0178 | - |
| 8.1208 | 18280 | 0.017 | - |
| 8.1252 | 18290 | 0.0256 | - |
| 8.1297 | 18300 | 0.0182 | - |
| 8.1341 | 18310 | 0.0231 | - |
| 8.1385 | 18320 | 0.0202 | - |
| 8.1430 | 18330 | 0.023 | - |
| 8.1474 | 18340 | 0.0201 | - |
| 8.1519 | 18350 | 0.0222 | - |
| 8.1563 | 18360 | 0.0162 | - |
| 8.1607 | 18370 | 0.0195 | - |
| 8.1652 | 18380 | 0.0177 | - |
| 8.1696 | 18390 | 0.0198 | - |
| 8.1741 | 18400 | 0.0155 | - |
| 8.1785 | 18410 | 0.0222 | - |
| 8.1829 | 18420 | 0.0161 | - |
| 8.1874 | 18430 | 0.0247 | - |
| 8.1918 | 18440 | 0.022 | - |
| 8.1963 | 18450 | 0.0181 | - |
| 8.2007 | 18460 | 0.0166 | - |
| 8.2052 | 18470 | 0.0202 | - |
| 8.2096 | 18480 | 0.0213 | - |
| 8.2140 | 18490 | 0.0183 | - |
| 8.2185 | 18500 | 0.0221 | - |
| 8.2229 | 18510 | 0.0201 | - |
| 8.2274 | 18520 | 0.0185 | - |
| 8.2318 | 18530 | 0.0165 | - |
| 8.2362 | 18540 | 0.0169 | - |
| 8.2407 | 18550 | 0.0194 | - |
| 8.2451 | 18560 | 0.0204 | - |
| 8.2496 | 18570 | 0.022 | - |
| 8.2540 | 18580 | 0.0186 | - |
| 8.2584 | 18590 | 0.0231 | - |
| 8.2629 | 18600 | 0.0201 | - |
| 8.2673 | 18610 | 0.0199 | - |
| 8.2718 | 18620 | 0.0218 | - |
| 8.2762 | 18630 | 0.019 | - |
| 8.2806 | 18640 | 0.0209 | - |
| 8.2851 | 18650 | 0.0172 | - |
| 8.2895 | 18660 | 0.0214 | - |
| 8.2940 | 18670 | 0.0198 | - |
| 8.2984 | 18680 | 0.0198 | - |
| 8.3028 | 18690 | 0.0183 | - |
| 8.3073 | 18700 | 0.0209 | - |
| 8.3117 | 18710 | 0.0137 | - |
| 8.3162 | 18720 | 0.0215 | - |
| 8.3206 | 18730 | 0.0226 | - |
| 8.3250 | 18740 | 0.0224 | - |
| 8.3295 | 18750 | 0.0197 | - |
| 8.3339 | 18760 | 0.0263 | - |
| 8.3384 | 18770 | 0.0211 | - |
| 8.3428 | 18780 | 0.0189 | - |
| 8.3472 | 18790 | 0.0161 | - |
| 8.3517 | 18800 | 0.02 | - |
| 8.3561 | 18810 | 0.0225 | - |
| 8.3606 | 18820 | 0.0187 | - |
| 8.3650 | 18830 | 0.0271 | - |
| 8.3694 | 18840 | 0.0174 | - |
| 8.3739 | 18850 | 0.025 | - |
| 8.3783 | 18860 | 0.0168 | - |
| 8.3828 | 18870 | 0.0187 | - |
| 8.3872 | 18880 | 0.0199 | - |
| 8.3917 | 18890 | 0.0175 | - |
| 8.3961 | 18900 | 0.0184 | - |
| 8.4005 | 18910 | 0.0199 | - |
| 8.4050 | 18920 | 0.0251 | - |
| 8.4094 | 18930 | 0.0195 | - |
| 8.4139 | 18940 | 0.0226 | - |
| 8.4183 | 18950 | 0.0189 | - |
| 8.4227 | 18960 | 0.0201 | - |
| 8.4272 | 18970 | 0.0206 | - |
| 8.4316 | 18980 | 0.0188 | - |
| 8.4361 | 18990 | 0.0182 | - |
| 8.4405 | 19000 | 0.0195 | 0.0275 |
| 8.4449 | 19010 | 0.0204 | - |
| 8.4494 | 19020 | 0.0213 | - |
| 8.4538 | 19030 | 0.0206 | - |
| 8.4583 | 19040 | 0.0233 | - |
| 8.4627 | 19050 | 0.023 | - |
| 8.4671 | 19060 | 0.0242 | - |
| 8.4716 | 19070 | 0.0186 | - |
| 8.4760 | 19080 | 0.019 | - |
| 8.4805 | 19090 | 0.0196 | - |
| 8.4849 | 19100 | 0.0182 | - |
| 8.4893 | 19110 | 0.0268 | - |
| 8.4938 | 19120 | 0.0203 | - |
| 8.4982 | 19130 | 0.0169 | - |
| 8.5027 | 19140 | 0.0227 | - |
| 8.5071 | 19150 | 0.0242 | - |
| 8.5115 | 19160 | 0.024 | - |
| 8.5160 | 19170 | 0.0209 | - |
| 8.5204 | 19180 | 0.0204 | - |
| 8.5249 | 19190 | 0.0181 | - |
| 8.5293 | 19200 | 0.0236 | - |
| 8.5337 | 19210 | 0.0217 | - |
| 8.5382 | 19220 | 0.0221 | - |
| 8.5426 | 19230 | 0.0204 | - |
| 8.5471 | 19240 | 0.0208 | - |
| 8.5515 | 19250 | 0.0219 | - |
| 8.5560 | 19260 | 0.0229 | - |
| 8.5604 | 19270 | 0.0144 | - |
| 8.5648 | 19280 | 0.0185 | - |
| 8.5693 | 19290 | 0.0192 | - |
| 8.5737 | 19300 | 0.0256 | - |
| 8.5782 | 19310 | 0.0206 | - |
| 8.5826 | 19320 | 0.0258 | - |
| 8.5870 | 19330 | 0.0189 | - |
| 8.5915 | 19340 | 0.0215 | - |
| 8.5959 | 19350 | 0.0242 | - |
| 8.6004 | 19360 | 0.0169 | - |
| 8.6048 | 19370 | 0.021 | - |
| 8.6092 | 19380 | 0.0129 | - |
| 8.6137 | 19390 | 0.0169 | - |
| 8.6181 | 19400 | 0.0231 | - |
| 8.6226 | 19410 | 0.0225 | - |
| 8.6270 | 19420 | 0.027 | - |
| 8.6314 | 19430 | 0.0211 | - |
| 8.6359 | 19440 | 0.0217 | - |
| 8.6403 | 19450 | 0.0228 | - |
| 8.6448 | 19460 | 0.0177 | - |
| 8.6492 | 19470 | 0.0125 | - |
| 8.6536 | 19480 | 0.0199 | - |
| 8.6581 | 19490 | 0.0207 | - |
| 8.6625 | 19500 | 0.0172 | - |
| 8.6670 | 19510 | 0.021 | - |
| 8.6714 | 19520 | 0.024 | - |
| 8.6758 | 19530 | 0.0229 | - |
| 8.6803 | 19540 | 0.0214 | - |
| 8.6847 | 19550 | 0.0243 | - |
| 8.6892 | 19560 | 0.0236 | - |
| 8.6936 | 19570 | 0.021 | - |
| 8.6980 | 19580 | 0.0225 | - |
| 8.7025 | 19590 | 0.02 | - |
| 8.7069 | 19600 | 0.0254 | - |
| 8.7114 | 19610 | 0.0201 | - |
| 8.7158 | 19620 | 0.0193 | - |
| 8.7202 | 19630 | 0.0193 | - |
| 8.7247 | 19640 | 0.02 | - |
| 8.7291 | 19650 | 0.0186 | - |
| 8.7336 | 19660 | 0.0219 | - |
| 8.7380 | 19670 | 0.0244 | - |
| 8.7425 | 19680 | 0.0172 | - |
| 8.7469 | 19690 | 0.0186 | - |
| 8.7513 | 19700 | 0.0224 | - |
| 8.7558 | 19710 | 0.0169 | - |
| 8.7602 | 19720 | 0.025 | - |
| 8.7647 | 19730 | 0.0237 | - |
| 8.7691 | 19740 | 0.0182 | - |
| 8.7735 | 19750 | 0.0198 | - |
| 8.7780 | 19760 | 0.0206 | - |
| 8.7824 | 19770 | 0.0203 | - |
| 8.7869 | 19780 | 0.0187 | - |
| 8.7913 | 19790 | 0.0195 | - |
| 8.7957 | 19800 | 0.0186 | - |
| 8.8002 | 19810 | 0.021 | - |
| 8.8046 | 19820 | 0.0179 | - |
| 8.8091 | 19830 | 0.0226 | - |
| 8.8135 | 19840 | 0.0229 | - |
| 8.8179 | 19850 | 0.027 | - |
| 8.8224 | 19860 | 0.0237 | - |
| 8.8268 | 19870 | 0.0153 | - |
| 8.8313 | 19880 | 0.0195 | - |
| 8.8357 | 19890 | 0.0212 | - |
| 8.8401 | 19900 | 0.0202 | - |
| 8.8446 | 19910 | 0.0215 | - |
| 8.8490 | 19920 | 0.0201 | - |
| 8.8535 | 19930 | 0.0194 | - |
| 8.8579 | 19940 | 0.0259 | - |
| 8.8623 | 19950 | 0.0226 | - |
| 8.8668 | 19960 | 0.018 | - |
| 8.8712 | 19970 | 0.0226 | - |
| 8.8757 | 19980 | 0.0247 | - |
| 8.8801 | 19990 | 0.0214 | - |
| 8.8845 | 20000 | 0.0224 | 0.0268 |
| 8.8890 | 20010 | 0.0197 | - |
| 8.8934 | 20020 | 0.025 | - |
| 8.8979 | 20030 | 0.0174 | - |
| 8.9023 | 20040 | 0.0209 | - |
| 8.9067 | 20050 | 0.0196 | - |
| 8.9112 | 20060 | 0.0177 | - |
| 8.9156 | 20070 | 0.0181 | - |
| 8.9201 | 20080 | 0.0204 | - |
| 8.9245 | 20090 | 0.0193 | - |
| 8.9290 | 20100 | 0.0224 | - |
| 8.9334 | 20110 | 0.0173 | - |
| 8.9378 | 20120 | 0.0212 | - |
| 8.9423 | 20130 | 0.0193 | - |
| 8.9467 | 20140 | 0.0191 | - |
| 8.9512 | 20150 | 0.0172 | - |
| 8.9556 | 20160 | 0.0231 | - |
| 8.9600 | 20170 | 0.0189 | - |
| 8.9645 | 20180 | 0.0195 | - |
| 8.9689 | 20190 | 0.0174 | - |
| 8.9734 | 20200 | 0.0245 | - |
| 8.9778 | 20210 | 0.0194 | - |
| 8.9822 | 20220 | 0.0192 | - |
| 8.9867 | 20230 | 0.0188 | - |
| 8.9911 | 20240 | 0.0195 | - |
| 8.9956 | 20250 | 0.0237 | - |
| 9.0004 | 20260 | 0.0154 | - |
| 9.0049 | 20270 | 0.0178 | - |
| 9.0093 | 20280 | 0.0186 | - |
| 9.0138 | 20290 | 0.0188 | - |
| 9.0182 | 20300 | 0.0199 | - |
| 9.0226 | 20310 | 0.0207 | - |
| 9.0271 | 20320 | 0.0128 | - |
| 9.0315 | 20330 | 0.017 | - |
| 9.0360 | 20340 | 0.0215 | - |
| 9.0404 | 20350 | 0.0162 | - |
| 9.0448 | 20360 | 0.0195 | - |
| 9.0493 | 20370 | 0.0144 | - |
| 9.0537 | 20380 | 0.0189 | - |
| 9.0582 | 20390 | 0.0171 | - |
| 9.0626 | 20400 | 0.0162 | - |
| 9.0671 | 20410 | 0.015 | - |
| 9.0715 | 20420 | 0.021 | - |
| 9.0759 | 20430 | 0.0182 | - |
| 9.0804 | 20440 | 0.0197 | - |
| 9.0848 | 20450 | 0.015 | - |
| 9.0893 | 20460 | 0.0225 | - |
| 9.0937 | 20470 | 0.0174 | - |
| 9.0981 | 20480 | 0.0207 | - |
| 9.1026 | 20490 | 0.0192 | - |
| 9.1070 | 20500 | 0.0171 | - |
| 9.1115 | 20510 | 0.0157 | - |
| 9.1159 | 20520 | 0.0141 | - |
| 9.1203 | 20530 | 0.0166 | - |
| 9.1248 | 20540 | 0.0179 | - |
| 9.1292 | 20550 | 0.0143 | - |
| 9.1337 | 20560 | 0.0188 | - |
| 9.1381 | 20570 | 0.0158 | - |
| 9.1425 | 20580 | 0.0203 | - |
| 9.1470 | 20590 | 0.0208 | - |
| 9.1514 | 20600 | 0.0177 | - |
| 9.1559 | 20610 | 0.0127 | - |
| 9.1603 | 20620 | 0.0176 | - |
| 9.1647 | 20630 | 0.0161 | - |
| 9.1692 | 20640 | 0.0124 | - |
| 9.1736 | 20650 | 0.0177 | - |
| 9.1781 | 20660 | 0.0216 | - |
| 9.1825 | 20670 | 0.018 | - |
| 9.1869 | 20680 | 0.0169 | - |
| 9.1914 | 20690 | 0.0152 | - |
| 9.1958 | 20700 | 0.0169 | - |
| 9.2003 | 20710 | 0.0142 | - |
| 9.2047 | 20720 | 0.0183 | - |
| 9.2091 | 20730 | 0.017 | - |
| 9.2136 | 20740 | 0.0192 | - |
| 9.2180 | 20750 | 0.0118 | - |
| 9.2225 | 20760 | 0.0191 | - |
| 9.2269 | 20770 | 0.0175 | - |
| 9.2313 | 20780 | 0.0191 | - |
| 9.2358 | 20790 | 0.0161 | - |
| 9.2402 | 20800 | 0.0175 | - |
| 9.2447 | 20810 | 0.0173 | - |
| 9.2491 | 20820 | 0.021 | - |
| 9.2536 | 20830 | 0.0186 | - |
| 9.2580 | 20840 | 0.019 | - |
| 9.2624 | 20850 | 0.0147 | - |
| 9.2669 | 20860 | 0.0185 | - |
| 9.2713 | 20870 | 0.0183 | - |
| 9.2758 | 20880 | 0.0228 | - |
| 9.2802 | 20890 | 0.0192 | - |
| 9.2846 | 20900 | 0.0218 | - |
| 9.2891 | 20910 | 0.0151 | - |
| 9.2935 | 20920 | 0.0239 | - |
| 9.2980 | 20930 | 0.0178 | - |
| 9.3024 | 20940 | 0.0209 | - |
| 9.3068 | 20950 | 0.0153 | - |
| 9.3113 | 20960 | 0.0158 | - |
| 9.3157 | 20970 | 0.0152 | - |
| 9.3202 | 20980 | 0.0186 | - |
| 9.3246 | 20990 | 0.0147 | - |
| 9.3290 | 21000 | 0.0163 | 0.0263 |
| 9.3335 | 21010 | 0.0152 | - |
| 9.3379 | 21020 | 0.0216 | - |
| 9.3424 | 21030 | 0.0149 | - |
| 9.3468 | 21040 | 0.0193 | - |
| 9.3512 | 21050 | 0.0165 | - |
| 9.3557 | 21060 | 0.0207 | - |
| 9.3601 | 21070 | 0.0194 | - |
| 9.3646 | 21080 | 0.0219 | - |
| 9.3690 | 21090 | 0.0234 | - |
| 9.3734 | 21100 | 0.0179 | - |
| 9.3779 | 21110 | 0.018 | - |
| 9.3823 | 21120 | 0.0166 | - |
| 9.3868 | 21130 | 0.0182 | - |
| 9.3912 | 21140 | 0.0186 | - |
| 9.3956 | 21150 | 0.0201 | - |
| 9.4001 | 21160 | 0.0156 | - |
| 9.4045 | 21170 | 0.0187 | - |
| 9.4090 | 21180 | 0.0217 | - |
| 9.4134 | 21190 | 0.0158 | - |
| 9.4179 | 21200 | 0.015 | - |
| 9.4223 | 21210 | 0.0124 | - |
| 9.4267 | 21220 | 0.016 | - |
| 9.4312 | 21230 | 0.0125 | - |
| 9.4356 | 21240 | 0.0189 | - |
| 9.4401 | 21250 | 0.0125 | - |
| 9.4445 | 21260 | 0.0166 | - |
| 9.4489 | 21270 | 0.0143 | - |
| 9.4534 | 21280 | 0.0142 | - |
| 9.4578 | 21290 | 0.0192 | - |
| 9.4623 | 21300 | 0.0193 | - |
| 9.4667 | 21310 | 0.0171 | - |
| 9.4711 | 21320 | 0.0171 | - |
| 9.4756 | 21330 | 0.0238 | - |
| 9.4800 | 21340 | 0.0184 | - |
| 9.4845 | 21350 | 0.0154 | - |
| 9.4889 | 21360 | 0.0151 | - |
| 9.4933 | 21370 | 0.0174 | - |
| 9.4978 | 21380 | 0.0209 | - |
| 9.5022 | 21390 | 0.0196 | - |
| 9.5067 | 21400 | 0.0172 | - |
| 9.5111 | 21410 | 0.0122 | - |
| 9.5155 | 21420 | 0.0212 | - |
| 9.5200 | 21430 | 0.0167 | - |
| 9.5244 | 21440 | 0.014 | - |
| 9.5289 | 21450 | 0.0104 | - |
| 9.5333 | 21460 | 0.0192 | - |
| 9.5377 | 21470 | 0.0192 | - |
| 9.5422 | 21480 | 0.0164 | - |
| 9.5466 | 21490 | 0.0153 | - |
| 9.5511 | 21500 | 0.0179 | - |
| 9.5555 | 21510 | 0.0161 | - |
| 9.5599 | 21520 | 0.0162 | - |
| 9.5644 | 21530 | 0.0196 | - |
| 9.5688 | 21540 | 0.0172 | - |
| 9.5733 | 21550 | 0.0146 | - |
| 9.5777 | 21560 | 0.0134 | - |
| 9.5821 | 21570 | 0.0136 | - |
| 9.5866 | 21580 | 0.0196 | - |
| 9.5910 | 21590 | 0.0159 | - |
| 9.5955 | 21600 | 0.0191 | - |
| 9.5999 | 21610 | 0.0125 | - |
| 9.6044 | 21620 | 0.018 | - |
| 9.6088 | 21630 | 0.0228 | - |
| 9.6132 | 21640 | 0.0147 | - |
| 9.6177 | 21650 | 0.0196 | - |
| 9.6221 | 21660 | 0.0126 | - |
| 9.6266 | 21670 | 0.0176 | - |
| 9.6310 | 21680 | 0.0184 | - |
| 9.6354 | 21690 | 0.0188 | - |
| 9.6399 | 21700 | 0.0198 | - |
| 9.6443 | 21710 | 0.0177 | - |
| 9.6488 | 21720 | 0.0166 | - |
| 9.6532 | 21730 | 0.0194 | - |
| 9.6576 | 21740 | 0.0188 | - |
| 9.6621 | 21750 | 0.0187 | - |
| 9.6665 | 21760 | 0.0173 | - |
| 9.6710 | 21770 | 0.0183 | - |
| 9.6754 | 21780 | 0.0166 | - |
| 9.6798 | 21790 | 0.0186 | - |
| 9.6843 | 21800 | 0.0149 | - |
| 9.6887 | 21810 | 0.0159 | - |
| 9.6932 | 21820 | 0.0232 | - |
| 9.6976 | 21830 | 0.0194 | - |
| 9.7020 | 21840 | 0.0192 | - |
| 9.7065 | 21850 | 0.0141 | - |
| 9.7109 | 21860 | 0.0224 | - |
| 9.7154 | 21870 | 0.0192 | - |
| 9.7198 | 21880 | 0.0216 | - |
| 9.7242 | 21890 | 0.0127 | - |
| 9.7287 | 21900 | 0.0252 | - |
| 9.7331 | 21910 | 0.0161 | - |
| 9.7376 | 21920 | 0.0174 | - |
| 9.7420 | 21930 | 0.0223 | - |
| 9.7464 | 21940 | 0.019 | - |
| 9.7509 | 21950 | 0.0148 | - |
| 9.7553 | 21960 | 0.0137 | - |
| 9.7598 | 21970 | 0.0183 | - |
| 9.7642 | 21980 | 0.0173 | - |
| 9.7687 | 21990 | 0.0152 | - |
| **9.7731** | **22000** | **0.0191** | **0.0258** |
| 9.7775 | 22010 | 0.0175 | - |
| 9.7820 | 22020 | 0.0214 | - |
| 9.7864 | 22030 | 0.0211 | - |
| 9.7909 | 22040 | 0.0171 | - |
| 9.7953 | 22050 | 0.013 | - |
| 9.7997 | 22060 | 0.0177 | - |
| 9.8042 | 22070 | 0.0194 | - |
| 9.8086 | 22080 | 0.0193 | - |
| 9.8131 | 22090 | 0.0189 | - |
| 9.8175 | 22100 | 0.0236 | - |
| 9.8219 | 22110 | 0.0167 | - |
| 9.8264 | 22120 | 0.0199 | - |
| 9.8308 | 22130 | 0.0153 | - |
| 9.8353 | 22140 | 0.0201 | - |
| 9.8397 | 22150 | 0.0159 | - |
| 9.8441 | 22160 | 0.0206 | - |
| 9.8486 | 22170 | 0.0208 | - |
| 9.8530 | 22180 | 0.0132 | - |
| 9.8575 | 22190 | 0.0222 | - |
| 9.8619 | 22200 | 0.0169 | - |
| 9.8663 | 22210 | 0.017 | - |
| 9.8708 | 22220 | 0.0155 | - |
| 9.8752 | 22230 | 0.0138 | - |
| 9.8797 | 22240 | 0.0211 | - |
| 9.8841 | 22250 | 0.0188 | - |
| 9.8885 | 22260 | 0.0181 | - |
| 9.8930 | 22270 | 0.0202 | - |
| 9.8974 | 22280 | 0.0134 | - |
| 9.9019 | 22290 | 0.0166 | - |
| 9.9063 | 22300 | 0.0148 | - |
| 9.9107 | 22310 | 0.0186 | - |
| 9.9152 | 22320 | 0.0168 | - |
| 9.9196 | 22330 | 0.0154 | - |
| 9.9241 | 22340 | 0.0183 | - |
| 9.9285 | 22350 | 0.0211 | - |
| 9.9329 | 22360 | 0.0208 | - |
| 9.9374 | 22370 | 0.0192 | - |
| 9.9418 | 22380 | 0.0189 | - |
| 9.9463 | 22390 | 0.0183 | - |
| 9.9507 | 22400 | 0.0123 | - |
| 9.9552 | 22410 | 0.0217 | - |
| 9.9596 | 22420 | 0.02 | - |
| 9.9640 | 22430 | 0.0183 | - |
| 9.9685 | 22440 | 0.0169 | - |
| 9.9729 | 22450 | 0.02 | - |
| 9.9774 | 22460 | 0.0209 | - |
| 9.9818 | 22470 | 0.0211 | - |
| 9.9862 | 22480 | 0.0207 | - |
| 9.9907 | 22490 | 0.0209 | - |
| 9.9951 | 22500 | 0.0174 | - |
| 9.9996 | 22510 | 0.0162 | - |
* The bold row denotes the saved checkpoint.
</details>
### Framework Versions
- Python: 3.10.12
- Sentence Transformers: 4.0.2
- Transformers: 4.51.2
- PyTorch: 2.1.0+cu118
- Accelerate: 1.6.0
- Datasets: 3.5.0
- Tokenizers: 0.21.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### TripletLoss
```bibtex
@misc{hermans2017defense,
title={In Defense of the Triplet Loss for Person Re-Identification},
author={Alexander Hermans and Lucas Beyer and Bastian Leibe},
year={2017},
eprint={1703.07737},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
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