File size: 57,816 Bytes

522f0a4

---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:3221
- loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-small-en
widget:
- source_sentence: • 2 x AMD EPYC 7763 64-core processors
  sentences:
  - 'QuickSpecs

    HPE Cray XD670

    Configuration Information

    DA - 16896   Worldwide QuickSpecs — Version 16 — 10/7/2024

    Page  22'
  - 'HPE 1.8TB SAS 12G Mission Critical 10K SFF SC 3-year Warranty 512e Multi Vendor
    HDD 872481-H21

    Hard Drive Blank Kits  

    HPE Small Form Factor Hard Drive Blank Kit 666987-B21

    Notes:  Hard Drives require the selection of appropriate Drive Cage.  

     

    SSD Selection

    To streamline the configuration process for HPE ProLiant Gen10 servers and to
    provide the best product

    availability, HPE recommends SSDs from the list located here: http://www.hpe.com/products/recommend
    .

     

    All SSD options listed are compatible on both the XL675d and XL645d servers, except
    where explicitly

    marked.

    Read Intensive - 12G SAS - SFF - Solid State Drives  

    HPE 960GB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P36997-H21

    HPE 1.92TB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P36999-H21

    HPE 3.84TB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P37001-H21

    HPE 7.68TB SAS 12G Read Intensive SFF SC Value SAS Multi Vendor SSD P37003-H21

    Mixed Use - 12G SAS - SFF - Solid State Drives  

    HPE 960GB SAS 12G Mixed Use SFF SC Value SAS Multi Vendor SSD P37005-H21

    HPE 1.92TB SAS 12G Mixed Use SFF SC Value SAS Multi Vendor SSD P37011-H21

    HPE 3.84TB SAS 12G Mixed Use SFF SC Value SAS Multi Vendor SSD P37017-H21

    Mixed Use - 6G SATA - SFF - Solid State Drives  

    HPE 480GB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18432-H21

    HPE 960GB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18434-H21

    HPE 1.92TB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18436-H21

    HPE 3.84TB SATA 6G Mixed Use SFF SC Multi Vendor SSD P18438-H21

    Read Intensive - 6G SATA - SFF - Solid State Drives  

    HPE 240GB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18420-H21

    HPE 480GB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18422-H21

    HPE 960GB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18424-H21

    HPE 1.92TB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18426-H21

    HPE 3.84TB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18428-H21

    HPE 7.68TB SATA 6G Read Intensive SFF SC Multi Vendor SSD P18430-H21

     

    Read Intensive - NVMe - SFF - Solid State Drives  

    HPE 480GB NVMe Gen3 Mainstream Performance Read Intensive M.2 Multi Vendor SSD
    P40513-H21

    HPE 960GB NVMe Gen3 Mainstream Performance Read Intensive M.2 Multi Vendor SSD
    P40514-H21

    HPE 1.92TB NVMe Gen3 Mainstream Performance Read Intensive M.2 Multi Vendor SSD
    P40515-H21

    HPE 3.84TB NVMe Gen4 Mainstream Performance Read Intensive SFF SC U.3 Static V2

    Multi Vendor SSD

    P64845-H21

    HPE 480GB NVMe Gen4 Mainstream Performance Read Intensive M.2 PM9A3 SSD P69543-H21

    Mixed Use - NVMe - SFF - Solid State Drives  

    HPE 1.6TB NVMe Gen4 Mainstream Performance Mixed Use SFF SC U.3 Static V2 Multi

    Vendor SSD

    P65003-H21

    QuickSpecs

    HPE Apollo 6500 Gen10 Plus System

    Additional Options

    DA - 16700   Worldwide QuickSpecs — Version 25 — 6/3/2024

    Page  45'
  - 'Intel Xeon-Gold 6434 3.7GHz 8-core 195W Processor Kit for HPE Cray XD

    P56395-

    B21

    Intel Xeon-Gold 5415+ 2.9GHz 8-core 150W Processor Kit for HPE Cray XD

    P56391-

    B21

     

    Notes:

    −  "HPE Cray XD220v CPU 1 Rear FIO Heat Sink Kit" (P49855-B21) must be ordered
    for 1st

    Processor.

    −  "HPE Cray XD220v CPU 2 Front Heat Sink Kit" (P49854-B21) must be ordered for
    2nd

    Processor.'
- source_sentence: '- 2 x 16 GB DDR4-2933-MHz memory modules'
  sentences:
  - 'HPE Performance Cluster Manager 1 Node 3yr 24x7 Support Perpetual LTU Q9V60A

    Notes:

    −  One license per node.

    −  Includes three years of support.

    −  This is a perpetual license. The software will continue working even when the
    support term ends.

    HPE Performance Cluster Manager FIO Software Q9V61A

    Notes:

    −  This SKU does not include the license. Please order with Q9V60AAE.

    −  Order one per node

    HPE Performance Cluster Manager Media Kit Q9V62A

    Notes:  One media kit per solution.

     

     

    HPE Power Distribution Units

    Power Distribution Units (PDUs) are an integral piece to this data center solution
    and HPE offers several

    types. Basic PDUs provide reliable power with 0U or 1U installation options. Metered
    PDUs have added

    intelligence to precisely track power usage and switched PDUs provide both local
    and remote power

    management. There are additional metered PDUs that are recommended for this solution
    that are not part

    of the mainstream PDU product offering. They are as follows:

    HPE Switched 3-phase 66.5kVA/60309 5-wire 100A/277V 21-breaker Vertical NA PDU
    R8P19A

    HPE Metered 3Ph 66.5kVA/60309 100A 5-wire 480/277V Outlets (21) SDG23/Vertical
    NA

    PDU

    879034-B21

    HPE Metered 3Ph 39.9kVA/60309 60A 5-wire 480/277V Outlets (21) SDG23/Vertical
    NA

    PDU  

    880459-B21

    HPE Metered 3Ph 57.6kVA/60309 100A 5-wire 80A/230V Outlets (3) C13 (18) C19/Vertical

    NA PDU

    880460-B21

    HPE Metered 3Ph 34.5kVA/60309 60A 5-wire 48A/230V Outlets (3) C13 (18) C19/Vertical
    NA

    FIO PDU

    880461-B21

    HPE Cray Supercomputer 60A 415V 3 Phase 24 CX PDU R4N30A

    HPE Mtrd 3P 69.1kVA 125A 96A230V FIO PDU 880462-B21

    HPE Metered 3Ph 45.1kVA/60309 63A 5-wire 63A/230V Outlets (3) C13 (18) C19/Vertical

    INTL FIO PDU

    880463-B21

    HPE Cray Supercomputer 63A 400V 3 Phase 24 CX PDU   R4N29A

    HPE G2 Metered/Switched 3Ph 17.3kVA/60309 4-wire 48A/208V Out (12) C13 (12)

    C19/Vertical NA/JP PDU

    P9S22A

    HPE G2 Metered 3Ph 17.3kVA/60309 60A 4-wire 48A/208V Outlets (12) C13 (12)

    C19/Vertical NA/JP PDU

    P9R86A

    HPE G2 Metered Modular 3Ph 17.3kVA/60309 60A 4-wire 48A/208V Outlets (6) C19/1U

    Horizontal NA/JP PDU

    P9R80A

    QuickSpecs

    HPE Cray XD2000

    Configuration Information

    DA - 16905   Worldwide QuickSpecs — Version 20 — 10/7/2024

    Page  28'
  - 'World''s most secure industry standard server using HPE iLO5

     

    HPE ProLiant XL675d Gen10 Plus - Front Panel View

    1. Serial number / iLO Information pull tab 4. Chassis front door lever button

    2. Power Switch module 5. Drive Box 2

    3. Drive Box 1 6. Dedicated iLO management port

     

    QuickSpecs

    HPE Apollo 6500 Gen10 Plus System

    Overview

    DA - 16700   Worldwide QuickSpecs — Version 25 — 6/3/2024

    Page  2'
  - '8SFF Front View - 8 SFF + optional Universal Media Bay, optical Drive, Display
    Port, USB2.0, and

    SATA Drive shown  

       

    1. Quick removal access panel 9. Health LED  

    2. Serial number/iLO information pull tab 10. NIC Status  1  

    3. Display Port (optional - shown) 11. Unit ID Button/LED  

    4. Universal Media Bay (optional): 12. USB 3.2 Gen1 port  

      Option1: Optical drive bay + Display port &

    USB 2.0 port kit (shown)

    13. Drive bays; backplanes options  

      Option1: 8SFF x1 Tri-Mode 24G U.3 BC

    Backplane  Option2: 2 SFF x4 Tri-Mode 24G U.3 BC

    Drive Cage  

    5. USB 3.2 Gen1 port (optional - shown)   Option2: 8SFF x4 Tri-Mode 24G U.3

    BC

    Backplane

     

    6. Optical Drive (optional- shown)

    7. iLO Service Port 14. Drive support label

    8. Power On / Standby button and system power LED      

    Notes:  1 Front NIC LED display doesn''t support NIC LED ACT/LINK indication from
    ALOM/PCIE/FLOM

    NIC''s

     

    12 LFF Front View - 12 LFF + SAS drives shown  

       

    1. Serial number/iLO information pull tab 6. NIC Status  1  

    2. USB 3.2 Gen1 Port 7. Unit ID Button/LED  

    3. iLO Service Port 8. SAS/SATA drive bays  

    QuickSpecs

    HPE ProLiant DL320 Gen11

    Overview

    DA - 16919   Worldwide QuickSpecs — Version 28 — 10/7/2024

    Page  2'
- source_sentence: '*   2 x PCIe x4 slots for HPE iLO 5 management per node'
  sentences:
  - "HPE ProLiant XL645d System Block Diagrams  - PCIe GPU Configuration \n \nQuickSpecs\n\
    HPE Apollo 6500 Gen10 Plus System\nStandard Features\nDA - 16700   Worldwide QuickSpecs\
    \ — Version 25 — 6/3/2024\nPage  18"
  - 'Date Version

    History

    Action Description of Change

    03-Jun-2024 Version 24 Changed Additional Options section was updated.

    Obsolete SKUs were removed

    04-Mar-2024 Version 23 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    04-Dec-2023 Version 22 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    06-Nov-2023 Version 21 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    05-Sep-2023 Version 20 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    10-Jul-2023 Version 19 Changed Standard Features section was updated.

    20-Jun-2023 Version 18 Changed Overview section was updated

    03-Apr-2023 Version 17 Changed Optional Features and Configuration Information
    sections

    were updated

    06-Feb-2023 Version 16 Changed Overview and Configuration Information sections
    were

    updated

    05-Dec-2022 Version 15 Changed Core Options section was updated

    07-Nov-2022 Version 14 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    01-Aug-2022 Version 13 Changed Configuration Information section was updated

    05-Jul-2022 Version 12 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    16-May-2022 Version 11 Changed Configuration Information section was updated

    Obsolete SKUs were removed

    21-Mar-2022 Version 10 Changed Standard Features and Configuration Information
    were

    removed.

    07-Feb-2022 Version 9 Changed Configuration Information section was updated

    10-Jan-2022 Version 8 Changed Additional Options section was updated.

    Obsolete SKUs were removed

    01-Nov-2021 Version 7 Changed Added Software Development Tools

    Overview, Standard features and Additional Options sections

    were updated.

    Obsolete SKUs were removed

    07-Sep-2021 Version 6 Changed Additional Options section was updated.

    Obsolete SKUs were removed

    02-Aug-2021 Version 5 Changed Obsolete SKUs were removed

    04-May-2021 Version 4 Changed Overview, Standard Features, Optional Features,

    Configuration Information and Additional Options were

    removed.

    06-Apr-2021 Version 3 Changed Standard Features, Configuration Information, Additional

    Options and Technical Specifications sections were updated.

    01-Feb-2021 Version 2 Changed Overview, Standard Features, Configuration Information,

    Additional Options and Technical Specifications sections were

    updated.

    Obsolete SKUs were removed

    QuickSpecs

    HPE Apollo 6500 Gen10 Plus System

    Summary of Changes

    DA - 16700   Worldwide QuickSpecs — Version 25 — 6/3/2024

    Page  52'
  - 'Storage Controller Cable Kits

    HPE XL22xn Gen10+ E208ip/P408ip Cbl Kit

    HPE XL225n Gen10+ SATA Cbl Kit

    Notes:  By default, Embedded Controller will work in AHCI Mode. If "P28417-B21
    - HPE SR100i Gen10+

    Software RAID" is selected, then Embedded Controller will work in SR100i Mode.

    Maximum Internal StoragePer node

    Drive Capacity Configuration

    Hot Plug SFF SATA SSD 46TB 6 x 7.68TB

    Hot Plug SFF SAS SSD 91TB 6 x 15.3TB

    Hot Plug NVMe SSD (AMD) 30TB 2x 15.3TB

    Hot Plug NVMe SSD (Intel) 92TB 6x 15.3TB

     

    Notes:  NVMe is x2 for Intel

    Internal Storage Devices

    Optional USB Mezz Riser Kit

     

    Interfaces

    KVM Serial USB Video Port (SUV)

    USB Ports 3 external USB ports via SUV (2 regular USB, 1

    USB management); 1 USB 3.2 Gen1 Type A Port

    (external)

    HPE iLO Remote Management Network Port NIC/Shares iLO network port (AMD only)
    Separate

    NIC and iLO ports on Intel node

    Health LED 1

    Power 1

    UID 1

    Do not remove LED 1

    Industry Standard Compliance

    ACPI 6.3 Compliant

    PCIe 4.0 Compliant

    WOL Support

    Microsoft® Logo certifications

    PXE Support

    USB 3.0 Compliant (internal); USB 2 .0 compliant (external ports via SUV)

    SMBIOS 3.2

    UEFI 2.8

    Redfish API

    European Union Erp Lot 9 Regulation European Union (EU) eco-design regulations
    for server and

    storage products, known as Lot 9, establishes power thresholds for idle state,
    as well as efficiency

    and performance in active state which vary among configurations. HPE ProLiant
    Gen10 Plus servers

    QuickSpecs

    HPE Apollo 2000 Gen10 Plus System

    Standard Features

    DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024

    Page  14'
- source_sentence: What type of processors are supported by the HPE Cray XD665 System?
  sentences:
  - 'HPE Cray XD675 Server Top View

    Item Description    

    1. 8x AMD MI300X OAM Accelerator    

     

    QuickSpecs

    HPE Cray XD675

    Overview

    DA - 17239   Worldwide QuickSpecs — Version 4 — 8/19/2024

    Page  2'
  - 'HPE Cray XD665

    HPE is bringing the power of supercomputing to datacenters of any size with the
    HPE Cray XD665 System .

    HPE Cray XD665 System is a top-performing GPU-accelerated server, delivering mixed-HPC/AI
    workload

    solutions to rack-scale, in a rack and roll fashion.  

    HPE Cray XD665 System is a 4U chassis system that contains a single 2x CPU node
    with 4x Nvidia H100

    Tensor Core SXM5 GPUs. It offers a complete, scalable solution for AI & HPC customers
    everywhere, with

    flexibility of fabric, memory, storage and operating system. HPE Cray XD665 System
    provides maximum

    performance for advanced HPC Simulations, AI Training and Deep Learning.  

    Built with Exascale-ready networking technologies, integrated storage, extensive
    software portfolio and

    management tools, HPE Cray XD665 Systems can enable customers to innovate and
    prepare for tomorrow''s

    challenges.

    HPE Cray XD665 Server System Key Features

    4U Single-Node Chassis (Air & Liquid-Cooled)

    GPUs: 4x NVIDIA® H100 Tensor Core SXM5 GPUs providing leadership performance for
    AI Training,

    Deep Learning and advanced HPC simulations. PCIe GPUs are not supported on Cray
    XD665.

    CPUs: Support for 4 th  Generation AMD® EPYC® Scalable Processors: "Genoa"

    DRAM: Support for up to 24x DDR5 4800MT/s DIMMs

    High-Speed Fabric: 5x PCIe Gen 5.0 Half-Height, Half-Length slots supporting Slingshot
    11, Infiband

    NDR and Ethernet, providing direct switchable connections between High-Speed Fabric,
    GPUs, NVMe

    drives and CPUs.

    Storage: Up to 8 SFF NVME U.3 and 2 M.2 RAID SSDs

    Power Supplies: 6x 3,000-Watt capacity per server system, providing full N+N redundancy.

    PCIe Expansion: 1x HHHL PCIe 5.0, 1x OCP 3.0 expansion slot with embedded 2-port
    10G Base-T

    (RJ45), 1 1GbE NIC, 1x BMC Port, 1x VGA, 1x USB3.0, PWR Button/Reset/ID Button/Status
    LEDs  

    NVIDIA and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation
    in the U.S. and

    other countries. All third-party marks are the property of their respective owners.
     

    AMD and EPYC are trademarks and/or registered trademarks of Advanced Micro Devices,
    Inc. in the U.S.

    and other countries. All third-party marks are property of their respective owners

     

    QuickSpecs

    HPE Cray Supercomputing XD665 System

    Overview

    DA - 17114   Worldwide QuickSpecs — Version 9 — 10/21/2024

    Page  1'
  - "EPYC\n7543P\n32 2.8GHz 3.7GHz 2TB 225 256MB 3200MT/s\nEPYC\n7443P\n24 2.85GHs\
    \ 4.0GHz 2TB 200 128 MB 3200MT/s\nEPYC\n7313P\n16 3.0GHz 3.7GHz 2TB 155 128MB\
    \ 3200MT/s\nIntel Xeon \nProcessor\nCores Base\nFrequency\nMax\nFrequenc\ny\n\
    Max\nMemory\nWattage Cache\n1.5MB/cor\ne\nMemory\nXeon 8380 40 2.3GHz 3.4GHz 6TB/socket\
    \ 270 60MB 3200MT/s\nXeon 8368 38 2.4GHz 3.4GHz 6TB/socket 270 57MB 3200MT/s\n\
    Xeon\n8360Y\n36 2.4GHz 3.5GHz 6TB/socket 250 54MB 3200MT/s\nXeon 8358 32 2.6GHZ\
    \ 3.4GHz 6TB/socket 250 48MB 3200MT/s\nXeon\n8352Y\n32 2.2GHz 3.4GHz 6TB/socket\
    \ 205 48MB 3200MT/s\nXeon 6354 18 3.0GHz 3.6GHz 6TB/socket 205 39MB 3200MT/s\n\
    Xeon 6348 28 2.6GHz 3.5GHz 6TB/socket 235 42MB 3200MT/s\nXeon 6346 16 3.1GHz 3.6GHz\
    \ 6TB/socket 205 36MB 3200MT/s\nXeon 6338 32 2.0GHz 3.2GHz 6TB/socket 205 48MB\
    \ 3200MT/s\nXeon 6330 28 2.0GHZ 3.1GHz 6TB/socket 205 42MB 3200MT/s\nXeon 6342\
    \ 24 2.8GHZ 3.5GHz 6TB/socket 230 36MB 3200MT/s\nXeon\n4309Y\n8 2.8GHz 3.6GHz\
    \ 6TB/socket 105 12MB 3200MT/s\nXeon 4310 12 2.1GHz 3.3GHz 6TB/socket 120 18MB\
    \ 3200MT/s\nXeon 4314 16 2.4GHz 3.4GHz 6TB/socket 135 24MB 3200MT/s\nXeon 4316\
    \ 20 2.3GHz 3.4GHz 6TB/socket 150 30MB 3200MT/s\nXeon\n5318Y\n24 2.1GHz 3.4GHz\
    \ 6TB/socket 165 36MB 3200MT/s\nXeon 5320 26 2.2GHz 3.4GHz 6TB/socket 185 39MB\
    \ 3200MT/s\nXeon\n6336Y\n24 2.4GHz 3.6GHz 6TB/socket 185 36MB 3200MT/s\nXeon\n\
    5115Y\n8 3.2GHz 3.6GHz 6TB/socket 140 12MB 3200MT/s\nXeon 5317 12 3.0GHz 3.6GHZ\
    \ 6TB/socket 150 18MB 3200MT/s\nXeon 6326 16 2.9GHz 3.5GHz 6TB/socket 185 24MB\
    \ 3200MT/s\nXeon 6334 8 3.6GHz 3.7GHz 6TB/socket 165 18MB 3200MT/s\nChipset\n\
    No Chipset - System on Chip (SoC) design\nOn System Management Chipset\nHPE iLO\
    \ 5 ASIC\nRead and learn more in the  iLO  QuickSpecs\nQuickSpecs\nHPE Apollo\
    \ 2000 Gen10 Plus System\nStandard Features\nDA - 16526   Worldwide QuickSpecs\
    \ — Version 41 — 7/1/2024\nPage  9"
- source_sentence: What is the website to find services for customers purchasing from
    a commercial reseller?
  sentences:
  - 'HPE Cray XD675 Server Top View

    Item Description    

    1. 8x AMD MI300X OAM Accelerator    

     

    QuickSpecs

    HPE Cray XD675

    Overview

    DA - 17239   Worldwide QuickSpecs — Version 4 — 8/19/2024

    Page  2'
  - 'AMD EPYC 7443P 2.85GHz 24-core 200W FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus

    P38737-L21

    AMD EPYC 7313P 3.0GHz 16-core 155W FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus

    P38736-L21

    AMD EPYC 7552 (2.2GHz/48-core/200W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24258-L21

    AMD EPYC 7542 (2.9GHz/32-core/225W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24259-L21

    AMD EPYC 7502 (2.5GHz/32-core/180W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24260-L21

    AMD EPYC 7452 (2.35GHz/32-core/155W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24261-L21

    AMD EPYC 7402 (2.8GHz/24-core/180W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24262-L21

    AMD EPYC 7352 (2.3GHz/24-core/155W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24263-L21

    AMD EPYC 7302 (3.0GHz/16-core/155W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24264-L21

    AMD EPYC 7702P (2.0GHz/64-core/200W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24266-L21

    AMD EPYC 7402P (2.8GHz/24-core/180W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24268-L21

    AMD EPYC 7302P (3.0GHz/16-core/155W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24269-L21

    AMD EPYC 7662 (2.0GHz/64-core/225W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24392-L21

    AMD EPYC 7642 (2.3GHz/48-core/225W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24393-L21

    AMD EPYC 7252 (3.1GHz/8-core/120W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus P24397-L21

    AMD EPYC 7F32 (3.7GHz/8-core/180W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus

    P26686-L21

    AMD EPYC 7F52 (3.5GHz/16-core/240W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus

    P26687-L21

    AMD EPYC 7F72 (3.2GHz/24-core/240W) FIO Processor Kit for HPE ProLiant XL225n

    Gen10 Plus

    P26688-L21

     

     

    Intel Processors - Factory Integrated Processor Kit for XL220n & XL290n

    Intel Xeon-Platinum 8380 2.3GHz 40-core 270W FIO Processor Kit for HPE ProLiant

    XL2x0n Gen10 Plus P36816-L21

    Intel Xeon-Platinum 8368 2.4GHz 38-core 270W FIO Processor Kit for HPE ProLiant

    XL2x0n Gen10 Plus P36815-L21

    QuickSpecs

    HPE Apollo 2000 Gen10 Plus System

    Additional Options

    DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024

    Page  33'
  - 'Parts and Materials

    HPE will provide HPE-supported replacement parts and materials necessary to maintain
    the covered hardware

    product in operating condition, including parts and materials for available and
    recommended engineering

    improvements.  

    Parts and components that have reached their maximum supported lifetime and/or
    the maximum usage

    limitations as set forth in the manufacturer''s operating manual, product quick-specs,
    or the technical product

    data sheet will not be provided, repaired, or replaced as part of these services.

     

    How to Purchase Services

    Services are sold by Hewlett Packard Enterprise and Hewlett Packard Enterprise
    Authorized Service Partners:

    Services for customers purchasing from HPE or an enterprise reseller are quoted
    using HPE order

    configuration tools.

    Customers purchasing from a commercial reseller can find services at

    https://ssc.hpe.com/portal/site/ssc/

     

    AI Powered and Digitally Enabled Support Experience

    Achieve faster time to resolution with access to product-specific resources and
    expertise through a digital and

    data driven customer experience  

    Sign into the HPE Support Center experience, featuring streamlined self-serve
    case creation and

    management capabilities with inline knowledge recommendations. You will also find
    personalized task alerts

    and powerful troubleshooting support through an intelligent virtual agent with
    seamless transition when needed

    to a live support agent.  

    https://support.hpe.com/hpesc/public/home/signin

    Consume IT On Your Terms

    HPE GreenLake  edge-to-cloud platform brings the cloud experience directly to
    your apps and data wherever

    they are-the edge, colocations, or your data center. It delivers cloud services
    for on-premises IT infrastructure

    specifically tailored to your most demanding workloads. With a pay-per-use, scalable,
    point-and-click self-

    service experience that is managed for you, HPE GreenLake edge-to-cloud platform
    accelerates digital

    transformation in a distributed, edge-to-cloud world.

    Get faster time to market

    Save on TCO, align costs to business

    Scale quickly, meet unpredictable demand

    Simplify IT operations across your data centers and clouds

    To learn more about HPE Services, please contact your Hewlett Packard Enterprise
    sales representative or

    Hewlett Packard Enterprise Authorized Channel Partner.   Contact information for
    a representative in your area

    can be found at "Contact HPE"  https://www.hpe.com/us/en/contact-hpe.html  

    For more information

    http://www.hpe.com/services

    QuickSpecs

    HPE Cray XD675

    Service and Support

    DA - 17239   Worldwide QuickSpecs — Version 4 — 8/19/2024

    Page  13'
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- cosine_accuracy@1
- cosine_accuracy@3
- cosine_accuracy@5
- cosine_accuracy@10
- cosine_precision@1
- cosine_precision@3
- cosine_precision@5
- cosine_precision@10
- cosine_recall@1
- cosine_recall@3
- cosine_recall@5
- cosine_recall@10
- cosine_ndcg@10
- cosine_mrr@10
- cosine_map@100
- dot_accuracy@1
- dot_accuracy@3
- dot_accuracy@5
- dot_accuracy@10
- dot_precision@1
- dot_precision@3
- dot_precision@5
- dot_precision@10
- dot_recall@1
- dot_recall@3
- dot_recall@5
- dot_recall@10
- dot_ndcg@10
- dot_mrr@10
- dot_map@100
model-index:
- name: SentenceTransformer based on BAAI/bge-small-en
  results:
  - task:
      type: information-retrieval
      name: Information Retrieval
    dataset:
      name: Unknown
      type: unknown
    metrics:
    - type: cosine_accuracy@1
      value: 0.4857142857142857
      name: Cosine Accuracy@1
    - type: cosine_accuracy@3
      value: 0.8047619047619048
      name: Cosine Accuracy@3
    - type: cosine_accuracy@5
      value: 0.861904761904762
      name: Cosine Accuracy@5
    - type: cosine_accuracy@10
      value: 0.9095238095238095
      name: Cosine Accuracy@10
    - type: cosine_precision@1
      value: 0.4857142857142857
      name: Cosine Precision@1
    - type: cosine_precision@3
      value: 0.26825396825396824
      name: Cosine Precision@3
    - type: cosine_precision@5
      value: 0.17238095238095236
      name: Cosine Precision@5
    - type: cosine_precision@10
      value: 0.09095238095238094
      name: Cosine Precision@10
    - type: cosine_recall@1
      value: 0.4857142857142857
      name: Cosine Recall@1
    - type: cosine_recall@3
      value: 0.8047619047619048
      name: Cosine Recall@3
    - type: cosine_recall@5
      value: 0.861904761904762
      name: Cosine Recall@5
    - type: cosine_recall@10
      value: 0.9095238095238095
      name: Cosine Recall@10
    - type: cosine_ndcg@10
      value: 0.718420116457893
      name: Cosine Ndcg@10
    - type: cosine_mrr@10
      value: 0.6551719576719578
      name: Cosine Mrr@10
    - type: cosine_map@100
      value: 0.6598918961837339
      name: Cosine Map@100
    - type: dot_accuracy@1
      value: 0.4857142857142857
      name: Dot Accuracy@1
    - type: dot_accuracy@3
      value: 0.8047619047619048
      name: Dot Accuracy@3
    - type: dot_accuracy@5
      value: 0.861904761904762
      name: Dot Accuracy@5
    - type: dot_accuracy@10
      value: 0.9095238095238095
      name: Dot Accuracy@10
    - type: dot_precision@1
      value: 0.4857142857142857
      name: Dot Precision@1
    - type: dot_precision@3
      value: 0.26825396825396824
      name: Dot Precision@3
    - type: dot_precision@5
      value: 0.17238095238095236
      name: Dot Precision@5
    - type: dot_precision@10
      value: 0.09095238095238094
      name: Dot Precision@10
    - type: dot_recall@1
      value: 0.4857142857142857
      name: Dot Recall@1
    - type: dot_recall@3
      value: 0.8047619047619048
      name: Dot Recall@3
    - type: dot_recall@5
      value: 0.861904761904762
      name: Dot Recall@5
    - type: dot_recall@10
      value: 0.9095238095238095
      name: Dot Recall@10
    - type: dot_ndcg@10
      value: 0.718420116457893
      name: Dot Ndcg@10
    - type: dot_mrr@10
      value: 0.6551719576719578
      name: Dot Mrr@10
    - type: dot_map@100
      value: 0.6598918961837339
      name: Dot Map@100
---

# SentenceTransformer based on BAAI/bge-small-en

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en). 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:** [BAAI/bge-small-en](https://huggingface.co/BAAI/bge-small-en) <!-- at revision 2275a7bdee235e9b4f01fa73aa60d3311983cfea -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 384 tokens
- **Similarity Function:** Cosine Similarity
<!-- - **Training Dataset:** Unknown -->
<!-- - **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': 512, 'do_lower_case': True}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, '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 = [
    'What is the website to find services for customers purchasing from a commercial reseller?',
    'Parts and Materials\nHPE will provide HPE-supported replacement parts and materials necessary to maintain the covered hardware\nproduct in operating condition, including parts and materials for available and recommended engineering\nimprovements. \xa0\nParts and components that have reached their maximum supported lifetime and/or the maximum usage\nlimitations as set forth in the manufacturer\'s operating manual, product quick-specs, or the technical product\ndata sheet will not be provided, repaired, or replaced as part of these services.\n\xa0\nHow to Purchase Services\nServices are sold by Hewlett Packard Enterprise and Hewlett Packard Enterprise Authorized Service Partners:\nServices for customers purchasing from HPE or an enterprise reseller are quoted using HPE order\nconfiguration tools.\nCustomers purchasing from a commercial reseller can find services at\nhttps://ssc.hpe.com/portal/site/ssc/\n\xa0\nAI Powered and Digitally Enabled Support Experience\nAchieve faster time to resolution with access to product-specific resources and expertise through a digital and\ndata driven customer experience \xa0\nSign into the HPE Support Center experience, featuring streamlined self-serve case creation and\nmanagement capabilities with inline knowledge recommendations. You will also find personalized task alerts\nand powerful troubleshooting support through an intelligent virtual agent with seamless transition when needed\nto a live support agent. \xa0\nhttps://support.hpe.com/hpesc/public/home/signin\nConsume IT On Your Terms\nHPE GreenLake  edge-to-cloud platform brings the cloud experience directly to your apps and data wherever\nthey are-the edge, colocations, or your data center. It delivers cloud services for on-premises IT infrastructure\nspecifically tailored to your most demanding workloads. With a pay-per-use, scalable, point-and-click self-\nservice experience that is managed for you, HPE GreenLake edge-to-cloud platform accelerates digital\ntransformation in a distributed, edge-to-cloud world.\nGet faster time to market\nSave on TCO, align costs to business\nScale quickly, meet unpredictable demand\nSimplify IT operations across your data centers and clouds\nTo learn more about HPE Services, please contact your Hewlett Packard Enterprise sales representative or\nHewlett Packard Enterprise Authorized Channel Partner. \xa0 Contact information for a representative in your area\ncan be found at "Contact HPE"  https://www.hpe.com/us/en/contact-hpe.html \xa0\nFor more information\nhttp://www.hpe.com/services\nQuickSpecs\nHPE Cray XD675\nService and Support\nDA - 17239\xa0\xa0\xa0Worldwide QuickSpecs — Version 4 — 8/19/2024\nPage\xa0 13',
    'HPE Cray XD675 Server Top View\nItem Description \xa0 \xa0\n1. 8x AMD MI300X OAM Accelerator \xa0 \xa0\n\xa0\nQuickSpecs\nHPE Cray XD675\nOverview\nDA - 17239\xa0\xa0\xa0Worldwide QuickSpecs — Version 4 — 8/19/2024\nPage\xa0 2',
]
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.*
-->

## Evaluation

### Metrics

#### Information Retrieval

* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)

| Metric              | Value      |
|:--------------------|:-----------|
| cosine_accuracy@1   | 0.4857     |
| cosine_accuracy@3   | 0.8048     |
| cosine_accuracy@5   | 0.8619     |
| cosine_accuracy@10  | 0.9095     |
| cosine_precision@1  | 0.4857     |
| cosine_precision@3  | 0.2683     |
| cosine_precision@5  | 0.1724     |
| cosine_precision@10 | 0.091      |
| cosine_recall@1     | 0.4857     |
| cosine_recall@3     | 0.8048     |
| cosine_recall@5     | 0.8619     |
| cosine_recall@10    | 0.9095     |
| cosine_ndcg@10      | 0.7184     |
| cosine_mrr@10       | 0.6552     |
| **cosine_map@100**  | **0.6599** |
| dot_accuracy@1      | 0.4857     |
| dot_accuracy@3      | 0.8048     |
| dot_accuracy@5      | 0.8619     |
| dot_accuracy@10     | 0.9095     |
| dot_precision@1     | 0.4857     |
| dot_precision@3     | 0.2683     |
| dot_precision@5     | 0.1724     |
| dot_precision@10    | 0.091      |
| dot_recall@1        | 0.4857     |
| dot_recall@3        | 0.8048     |
| dot_recall@5        | 0.8619     |
| dot_recall@10       | 0.9095     |
| dot_ndcg@10         | 0.7184     |
| dot_mrr@10          | 0.6552     |
| dot_map@100         | 0.6599     |

<!--
## 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

#### Unnamed Dataset


* Size: 3,221 training samples
* Columns: <code>sentence_0</code> and <code>sentence_1</code>
* Approximate statistics based on the first 1000 samples:
  |         | sentence_0                                                                        | sentence_1                                                                           |
  |:--------|:----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
  | type    | string                                                                            | string                                                                               |
  | details | <ul><li>min: 3 tokens</li><li>mean: 22.72 tokens</li><li>max: 80 tokens</li></ul> | <ul><li>min: 36 tokens</li><li>mean: 328.94 tokens</li><li>max: 512 tokens</li></ul> |
* Samples:
  | sentence_0                                                                                                                               | sentence_1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
  |:-----------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
  | <code>What is the maximum number of Apollo n2X00 series chassis that can fit in a 42U rack?</code>                                       | <code>HPE Apollo 2000 Gen10 Plus System  <br>HPE is bringing the power of supercomputing to datacenters of any size with the Apollo 2000 Gen10 Plus<br>system.  <br>The HPE Apollo 2000 Gen10 Plus System is a dense, multi-server platform that packs incredible<br>performance and workload flexibility into a small datacenter space, while delivering the efficiencies of a<br>shared infrastructure.  It is designed to provide a bridge to scale-out architecture for traditional data centers,<br>so enterprise and SME customers can achieve the space-saving value of density-optimized infrastructure in a<br>cost-effective and non-disruptive manner.   <br>The Apollo 2000 Gen10 Plus offers a density optimized, shared infrastructure with a flexible scale-out<br>architecture to support a variety of workloads from remote site systems to large HPC clusters and everything<br>in between. HPE iLO5 provides built-in firmware-level server security with silicon root of trust. It can be<br>deployed cost-effectively starting with a single 2U, shared infrastructure chassis and configured with a variety<br>of storage options to meet the configuration needs of a wide variety of scale-out workloads.<br> <br>The Apollo 2000 Gen10 Plus System delivers up to four times the density of a traditional rack mount server<br>with up to four ProLiant Gen10 Plus  independent servers per 2U mounted in standard racks with rear-aisle<br>serviceability access.  A 42U rack fits up to 20 Apollo n2X00 series chassis accommodating up to 80 servers<br>per rack.<br>What's New  <br>Support for up to four Xilinx Alveo U50 single wide  GPU's  in XL290n node.<br>Enables a robust stack of Intel 3 rd  generation Xeon Scalable Processors to increase your power density<br>and increase datacenter efficiency. Intel AVX-512 *  feature increases memory bandwidth, improves<br>frequency management to enable greater performance. Also Speed Select Technology (SST) allows<br>Core count and frequency flexibility *<br>The Direct Liquid Cooling (DLC) option for the Apollo 2000 Gen10 Plus System comes ready to plug and<br>play. Choose from either CPU only or CPU plus memory cooling options.<br>Enables flexible choices with Intel 3 rd  Generation Xeon Scalable Processors and AMD 2 nd  and 3 rd <br>generation EPYC Processors<br>New flexible infrastructure offers multiple storage options, 8 memory channels and 3200 MT/s memory,<br>PCIe Gen4 and support for processors over 250W for improved application performance.<br>Complete software portfolio for all customer workloads, for node to rack management, including<br>comprehensive integrated cluster management software<br>Secure from the start with firmware anchored into silicon with iLO5 and silicon root of trust for the<br>highest level of system security  <br>Notes:  *Available on select processors<br> <br>QuickSpecs<br>HPE Apollo 2000 Gen10 Plus System<br>Overview<br>DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024<br>Page  1</code> |
  | <code>What is the maximum number of independent servers that can be mounted in a single 2U Apollo 2000 Gen10 Plus System chassis?</code> | <code>HPE Apollo 2000 Gen10 Plus System  <br>HPE is bringing the power of supercomputing to datacenters of any size with the Apollo 2000 Gen10 Plus<br>system.  <br>The HPE Apollo 2000 Gen10 Plus System is a dense, multi-server platform that packs incredible<br>performance and workload flexibility into a small datacenter space, while delivering the efficiencies of a<br>shared infrastructure.  It is designed to provide a bridge to scale-out architecture for traditional data centers,<br>so enterprise and SME customers can achieve the space-saving value of density-optimized infrastructure in a<br>cost-effective and non-disruptive manner.   <br>The Apollo 2000 Gen10 Plus offers a density optimized, shared infrastructure with a flexible scale-out<br>architecture to support a variety of workloads from remote site systems to large HPC clusters and everything<br>in between. HPE iLO5 provides built-in firmware-level server security with silicon root of trust. It can be<br>deployed cost-effectively starting with a single 2U, shared infrastructure chassis and configured with a variety<br>of storage options to meet the configuration needs of a wide variety of scale-out workloads.<br> <br>The Apollo 2000 Gen10 Plus System delivers up to four times the density of a traditional rack mount server<br>with up to four ProLiant Gen10 Plus  independent servers per 2U mounted in standard racks with rear-aisle<br>serviceability access.  A 42U rack fits up to 20 Apollo n2X00 series chassis accommodating up to 80 servers<br>per rack.<br>What's New  <br>Support for up to four Xilinx Alveo U50 single wide  GPU's  in XL290n node.<br>Enables a robust stack of Intel 3 rd  generation Xeon Scalable Processors to increase your power density<br>and increase datacenter efficiency. Intel AVX-512 *  feature increases memory bandwidth, improves<br>frequency management to enable greater performance. Also Speed Select Technology (SST) allows<br>Core count and frequency flexibility *<br>The Direct Liquid Cooling (DLC) option for the Apollo 2000 Gen10 Plus System comes ready to plug and<br>play. Choose from either CPU only or CPU plus memory cooling options.<br>Enables flexible choices with Intel 3 rd  Generation Xeon Scalable Processors and AMD 2 nd  and 3 rd <br>generation EPYC Processors<br>New flexible infrastructure offers multiple storage options, 8 memory channels and 3200 MT/s memory,<br>PCIe Gen4 and support for processors over 250W for improved application performance.<br>Complete software portfolio for all customer workloads, for node to rack management, including<br>comprehensive integrated cluster management software<br>Secure from the start with firmware anchored into silicon with iLO5 and silicon root of trust for the<br>highest level of system security  <br>Notes:  *Available on select processors<br> <br>QuickSpecs<br>HPE Apollo 2000 Gen10 Plus System<br>Overview<br>DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024<br>Page  1</code> |
  | <code>What is the processor type supported by the HPE Apollo n2800 Gen10 Plus 24 SFF Flexible CTO chassis?</code>                        | <code>HPE Apollo n2600 Gen10 Plus SFF CTO Chassis supports both Intel and AMD based server nodes<br>HPE Apollo n2800 Gen10 Plus 24 SFF Flexible CTO chassis supports Intel based server nodes<br>Backplane selection determines number and type of drives supported<br>Item Description Item Description<br>1 SFF hot-plug drives 3 Health LED<br>2 Serial number/iLO information pull tab 4 UID button LED<br> <br>Chassis Rear Panel Components - 4 x 1U nodes<br>Item Description Item Description<br>1 Server 3 & 4 4 iLO Ports<br>2 HPE Apollo Platform Manager (APM) 2.0 port 5 Server 1 & 2<br>3 Power supply 1 & 2 6 Optional Rack Consolidation Module (RCM)<br> <br> <br>QuickSpecs<br>HPE Apollo 2000 Gen10 Plus System<br>Overview<br>DA - 16526   Worldwide QuickSpecs — Version 41 — 7/1/2024<br>Page  2</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
  ```json
  {
      "scale": 20.0,
      "similarity_fct": "cos_sim"
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: steps
- `per_device_train_batch_size`: 256
- `per_device_eval_batch_size`: 256
- `num_train_epochs`: 20
- `multi_dataset_batch_sampler`: round_robin

#### 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`: 256
- `per_device_eval_batch_size`: 256
- `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
- `num_train_epochs`: 20
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.0
- `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`: False
- `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`: False
- `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`: False
- `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}
- `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`: False
- `hub_always_push`: False
- `gradient_checkpointing`: False
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `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
- `dispatch_batches`: None
- `split_batches`: 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
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: round_robin

</details>

### Training Logs
| Epoch   | Step | cosine_map@100 |
|:-------:|:----:|:--------------:|
| 1.0     | 7    | 0.4864         |
| 2.0     | 14   | 0.5209         |
| 3.0     | 21   | 0.5131         |
| 4.0     | 28   | 0.5047         |
| 5.0     | 35   | 0.5480         |
| 6.0     | 42   | 0.5808         |
| 7.0     | 49   | 0.5950         |
| 7.1429  | 50   | 0.5975         |
| 8.0     | 56   | 0.6145         |
| 9.0     | 63   | 0.6268         |
| 10.0    | 70   | 0.6292         |
| 11.0    | 77   | 0.6385         |
| 12.0    | 84   | 0.6445         |
| 13.0    | 91   | 0.6279         |
| 14.0    | 98   | 0.6296         |
| 14.2857 | 100  | 0.6321         |
| 15.0    | 105  | 0.6317         |
| 16.0    | 112  | 0.6401         |
| 17.0    | 119  | 0.6590         |
| 18.0    | 126  | 0.6562         |
| 19.0    | 133  | 0.6599         |


### Framework Versions
- Python: 3.11.8
- Sentence Transformers: 3.1.1
- Transformers: 4.45.2
- PyTorch: 2.2.2+cu121
- Accelerate: 1.1.1
- Datasets: 3.1.0
- Tokenizers: 0.20.3

## 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",
}
```

#### MultipleNegativesRankingLoss
```bibtex
@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```

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