CoolFace
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tsss1/expressvpn_embeddingmodel

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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README.md1118 linesDownload Raw Back to root
1---2language:3- en4license: apache-2.05tags:6- sentence-transformers7- sentence-similarity8- feature-extraction9- generated_from_trainer10- dataset_size:35711- loss:MatryoshkaLoss12- loss:MultipleNegativesRankingLoss13base_model: nomic-ai/nomic-embed-text-v2-moe14widget:15- source_sentence: 'Last updated: September 4, 202416 17 18    This guide will show you how to use the split tunneling feature on the ExpressVPN19    apps for Windows and Mac.20 21 22    Important: The split tunneling feature is not available on macOS 11 and above.23    Follow this guide to find out which version of macOS you are using.24 25    Note: Split tunneling is also not currently available on the ExpressVPN app for26    Windows 11 on ARM64.'27  sentences:28  - How to use Kodi with ExpressVPN on iOS29  - How to use the split tunneling feature30  - What’s new in ExpressVPN for Linux?31- source_sentence: 'Last updated: July 5, 202432 33 34    Need a VPN or DNS for your device?35 36    Get ExpressVPN Now37 38 39    Password Health is a feature in ExpressVPN Keys designed to help improve your40    overall account security. It offers an assessment of your password security through41    a security score, as well as tips and guidance on how to improve it, protecting42    you against password hacks.43 44 45    Your security score is calculated based on the strength of your passwords, whether46    you use the same password more than once, and whether the website URLs you stored47    are secure. Your score will improve as you resolve these issues.48 49 50    Your logins and passwords are assessed locally on your device—they never leave51    your device. Learn more about the privacy of Password Health.52 53 54    To access Password Health, add at least one login, then tap on the number icon55    at the top-right of the Keys screen.56 57 58    How to improve your security score?59 60 61    Learn more about the security issues that can be affecting your security score62    and ways to improve it below.63 64 65    Weak passwords66 67 68    Weak passwords can be easy to guess or crack easily by both humans and computers,69    making them vulnerable to password theft or compromise. They include common dictionary70    words, such as “apple” or “boy” or words that are easy to guess, such as place71    names or the names of your partner.72 73 74    To keep all your accounts safe, generate strong and unique passwords in ExpressVPN75    Keys.76 77 78    Reused passwords79 80 81    A reused password is a password you use across multiple services or accounts.82    If your password is compromised, attackers may gain unauthorized access to all83    these accounts with the compromised password. The more accounts you have using84    the same password, the higher the risks involved.85 86 87    To keep all your accounts secure, use strong and unique passwords for all your88    accounts.89 90 91    Logins using an unsecure URL92 93 94    Unsecure URLs start with http:// instead of https://. Any data passing between95    you and the website is not encrypted and can be read by third parties, including96    your passwords, usernames, email address, and credit card numbers.97 98 99    To keep all your accounts safe, use only https:// in your URLs:100 101 102    On the Keys login information screen, tap Help Me Fix at the top.103 104    Tap Use HTTPS.105 106    Exposed passwords107 108 109    A password is exposed if it has been found in a list of passwords online, often110    as part of data breaches. Attackers often attempt to sign in to services by trying111    all known exposed passwords available on the dark web. The more accounts you have112    using the same exposed password, the more vulnerable you are to being hacked.113 114 115    Data breaches potentially put your passwords at risk and are being reported at116    an accelerated rate, sometimes multiple times a week. To minimize the risk of117    exposed passwords, use strong and unique passwords for all your accounts and update118    any exposed password as soon as ExpressVPN Keys alerts you to do so.119 120 121    Two-factor authentication not enabled122 123 124    Two-factor authentication (2FA) adds an extra layer of protection to your online125    accounts, preventing unauthorized access even if your passwords are compromised.126 127 128    To keep your accounts safe, you should enable 2FA where possible. ExpressVPN Keys129    lets you add 2FA codes to compatible accounts on the ExpressVPN app for Android130    and iOS. Once set up, Keys can easily generate 2FA codes—also known as time-based131    one-time passwords (TOTPs)—for websites or apps with 2FA enabled.132 133 134    Important: You can only view and copy 2FA codes on the ExpressVPN Keys browser135    extension. You will be able to add 2FA codes on the browser extension at a later136    date.137 138 139    Need help? Contact the ExpressVPN Support Team for immediate assistance.140 141 142    Back to top143 144 145    Was this article helpful?146 147    Yes No'148  sentences:149  - what is batch size in one line150  - What is password health?151  - How to set up ExpressVPN on Amazon Fire tablet152- source_sentence: "Thanks for the clarification that I can provide information on\153    \ ExpressVPN. I can provide some general information on ExpressVPN, or help with\154    \ troubleshooting common issues. I can provide explanations on how to install\155    \ and set up ExpressVPN on various devices. \n\nSome potential areas to explore\156    \ could be:\n\n1. Troubleshooting common issues with ExpressVPN, such as connection\157    \ problems, slow speeds, or DNS leaks.\n2. Providing step-by-step instructions\158    \ on how to install and set up ExpressVPN on different devices, such as Windows,\159    \ macOS, Android, iOS, or routers.\n3. Explaining ExpressVPN's features, such\160    \ as split tunneling, kill switch, and server locations.\n4. Discussing ExpressVPN's\161    \ pricing plans, refund policy, and customer support.\n\nWhat would you like to\162    \ know about ExpressVPN, or what type of issue would you like to troubleshoot?"163  sentences:164  - "What are the features of ExpressVPN?\n\nExpressVPN is known for its high-speed\165    \ performance and wide range of servers. Some of its key features include:\n\n\166    1. 128-bit AES encryption, \n2.  256-bit encryption,\n3.  128-bit Blowfish encryption,\n\167    4. 256-bit encryption,\n5.  AES encryption,\n6.  AES-256,\n7.  AES 256-bit encryption.\n\168    \nNote: The encryption methods are not as stated. \n\n"169  - I can provide information on ExpressVPN. What do you need help with?170  - "I'm trying to use the ExpressVPN app on my Windows 10 computer, but the VPN connection\171    \ isn't working. I've checked the account credentials, and they seem to be correct.\172    \ I've also tried restarting the Windows 10 computer and restarting the ExpressVPN\173    \ app. \n\n"174- source_sentence: 'Last updated: November 7, 2024175 176 177    Need a VPN or DNS for your device?178 179    Get ExpressVPN Now180 181 182    This guide will show you how to reset your recovery code for your ExpressVPN Keys183    account. You should reset your recovery code if you have lost it or believe it184    may have been compromised.185 186 187    To reset your recovery code, you will need your primary password. You can reset188    your recovery code using the ExpressVPN app for Android or the ExpressVPN Keys189    Chrome extension. This functionality is not available in the ExpressVPN app for190    iOS.191 192 193    ExpressVPN for Android194 195    In the ExpressVPN app for Android, tap Options.196 197    Tap Other Settings > Security > Reset your recovery code.198 199    Tap RESET RECOVERY CODE.200 201    Enter your primary password.202 203    Store your new recovery code in a safe place.204 205    ExpressVPN Keys Chrome extension206 207    In the ExpressVPN Keys Chrome extension, click Options.208 209    Go to Settings > Security > Reset Recovery Code.210 211    Click Reset Recovery Code.212 213    Enter your primary password.214 215    Store your new recovery code in a safe place.216 217 218    If you have lost both your primary password and your recovery code, contact the219    ExpressVPN Support Team to reset your password manager account.220 221 222    Back to top223 224 225    Was this article helpful?226 227    Yes No'228  sentences:229  - How is my ExpressVPN Keys data managed?230  - How to reset your recovery code231  - How to set up ExpressVPN on ASUSTOR with OpenVPN232- source_sentence: 'Last updated: October 21, 2024233 234 235    This guide is for users who are having issues streaming Max (formerly HBO Max)236    while connected to the VPN.237 238 239    To comply with the Max Terms of Use and ExpressVPN Terms of Service, you should240    connect to a server location that matches the country where you are currently241    located.242 243 244    Jump to…245 246 247    1. Change to a different VPN server location248 249    2. Sign out of the Max app, then sign in again250 251    3. Watch Max using your browser252 253    4. Contact ExpressVPN Support254 255 256    1. Change to a different VPN server location257 258 259    If you are a U.S. user having issues streaming Max, try changing to these VPN260    server locations in the following order:261 262 263    USA – San Francisco264 265    USA – Washington DC266 267    USA – New York268 269    USA – Los Angeles – 1270 271 272    Below are instructions for changing your VPN server location on:273 274 275    Windows276 277    Mac278 279    iOS280 281    Android282 283    Android TV284 285    Apple TV286 287    Linux288 289    Routers290 291    If you are streaming via the Max app, you should force-close it and reopen it292    each time you change location. Below are instructions for force-closing an app293    on:iOS: Swipe up from the bottom of the homescreen, keeping your finger pressed294    until app previews appear at left. Swipe to find the Max app preview, then swipe295    up to close the app.296 297 298    Android: On your Android device, open your multitasking interface. The way to299    do this varies depending on your device:300 301 302    If your device has three icons at the bottom of the screen, tap either the three303    vertical lines icon or the square icon.304 305    If your device features a single horizontal line at the bottom of the screen,306    swipe up from the bottom to the middle of the screen, hold for a second, then307    release.308 309 310    Next, swipe to find the Max app preview, then swipe to force-close the app. The311    direction you need to swipe will vary depending on your device.312 313 314    Android TV: Go to Settings, select Apps, and scroll to find the Max app. Select315    the app, then select Force Stop.316 317 318    Fire TV/Fire Stick: Go to Settings, select Applications, select Manage Installed319    Applications. Scroll to find the Max app. Select the app, then select Force Stop.320 321 322    Apple TV: Double-click the TV icon on your remote to see the apps currently running.323    Swipe to find the Max app preview, then swipe up to close the app.324 325 326    If you are a non-U.S. user having issues streaming Max, proceed to the next step.327 328 329    Need help? Contact the ExpressVPN Support Team for immediate assistance.330 331 332    Back to top333 334 335    2. Sign out of the Max app, then sign in again336 337 338    If you are using the Max app, sign out of it, restart your device, and then sign339    back in.340 341 342    Need help? Contact the ExpressVPN Support Team for immediate assistance.343 344 345    Back to top346 347 348    3. Watch Max on your browser349 350 351    Try streaming Max via your browser by going to https://www.max.com/login and signing352    in with your Max account details.353 354 355    If you are having issues streaming Max from your browser while connected to the356    VPN:357 358 359    Get the ExpressVPN browser extension (available for Windows, Mac, and Linux).360    To use the browser extension, you must also have the ExpressVPN app installed361    on your computer.362 363    U.S. users should try connecting to these server locations in the following order:364 365    USA – San Francisco366 367    USA – Washington DC368 369    USA – New York370 371    USA – Los Angeles – 1372 373 374    Non-U.S. users should proceed to the next step.375 376 377    Try using a different browser. The ExpressVPN browser extension is available on378    Windows, Mac, and Linux, and it works with Chrome, Firefox, Vivaldi, Chromium,379    Brave, and Microsoft Edge. The ExpressVPN app must also be installed.380 381 382    Need help? Contact the ExpressVPN Support Team for immediate assistance.383 384 385    Back to top386 387 388    4. Contact Support389 390 391    If you are still unable to stream Max while connected to the VPN, contact the392    ExpressVPN Support Team.393 394 395    Back to top396 397 398    ExpressVPN is optimized to work with Max so you can enjoy online privacy and security399    all the time, without the VPN interfering. It should never be used as a means400    of copyright circumvention, which is strictly against our Terms of Service. As401    we cannot see or control what you do while connected to our VPN, you are responsible402    at all times for complying with our terms, the Max Terms of Use, and any applicable403    laws. Compliance requires you to be located in the U.S. while streaming Max with404    ExpressVPN.405 406    Was this article helpful?407 408    Yes No'409  sentences:410  - Troubleshooting steps for streaming Max411  - "I can help you with various questions and issues related to ExpressVPN. What\412    \ do you need assistance with: \n\n"413  - How to choose the appropriate Wi-Fi settings on a router running ExpressVPN414pipeline_tag: sentence-similarity415library_name: sentence-transformers416metrics:417- cosine_accuracy@1418- cosine_accuracy@3419- cosine_accuracy@5420- cosine_accuracy@10421- cosine_precision@1422- cosine_precision@3423- cosine_precision@5424- cosine_precision@10425- cosine_recall@1426- cosine_recall@3427- cosine_recall@5428- cosine_recall@10429- cosine_ndcg@10430- cosine_mrr@10431- cosine_map@100432model-index:433- name: ModernBERT Embed base Legal Matryoshka434  results:435  - task:436      type: information-retrieval437      name: Information Retrieval438    dataset:439      name: dim 768440      type: dim_768441    metrics:442    - type: cosine_accuracy@1443      value: 0.6444      name: Cosine Accuracy@1445    - type: cosine_accuracy@3446      value: 0.775447      name: Cosine Accuracy@3448    - type: cosine_accuracy@5449      value: 0.825450      name: Cosine Accuracy@5451    - type: cosine_accuracy@10452      value: 0.875453      name: Cosine Accuracy@10454    - type: cosine_precision@1455      value: 0.6456      name: Cosine Precision@1457    - type: cosine_precision@3458      value: 0.26666666666666666459      name: Cosine Precision@3460    - type: cosine_precision@5461      value: 0.17462      name: Cosine Precision@5463    - type: cosine_precision@10464      value: 0.09465      name: Cosine Precision@10466    - type: cosine_recall@1467      value: 0.5875468      name: Cosine Recall@1469    - type: cosine_recall@3470      value: 0.775471      name: Cosine Recall@3472    - type: cosine_recall@5473      value: 0.825474      name: Cosine Recall@5475    - type: cosine_recall@10476      value: 0.875477      name: Cosine Recall@10478    - type: cosine_ndcg@10479      value: 0.7464836502947895480      name: Cosine Ndcg@10481    - type: cosine_mrr@10482      value: 0.7041666666666667483      name: Cosine Mrr@10484    - type: cosine_map@100485      value: 0.7103005547084493486      name: Cosine Map@100487  - task:488      type: information-retrieval489      name: Information Retrieval490    dataset:491      name: dim 512492      type: dim_512493    metrics:494    - type: cosine_accuracy@1495      value: 0.6496      name: Cosine Accuracy@1497    - type: cosine_accuracy@3498      value: 0.775499      name: Cosine Accuracy@3500    - type: cosine_accuracy@5501      value: 0.875502      name: Cosine Accuracy@5503    - type: cosine_accuracy@10504      value: 0.9505      name: Cosine Accuracy@10506    - type: cosine_precision@1507      value: 0.6508      name: Cosine Precision@1509    - type: cosine_precision@3510      value: 0.26666666666666666511      name: Cosine Precision@3512    - type: cosine_precision@5513      value: 0.18514      name: Cosine Precision@5515    - type: cosine_precision@10516      value: 0.0925517      name: Cosine Precision@10518    - type: cosine_recall@1519      value: 0.5875520      name: Cosine Recall@1521    - type: cosine_recall@3522      value: 0.775523      name: Cosine Recall@3524    - type: cosine_recall@5525      value: 0.875526      name: Cosine Recall@5527    - type: cosine_recall@10528      value: 0.9529      name: Cosine Recall@10530    - type: cosine_ndcg@10531      value: 0.7552425519590626532      name: Cosine Ndcg@10533    - type: cosine_mrr@10534      value: 0.7083333333333333535      name: Cosine Mrr@10536    - type: cosine_map@100537      value: 0.7123785914060513538      name: Cosine Map@100539  - task:540      type: information-retrieval541      name: Information Retrieval542    dataset:543      name: dim 256544      type: dim_256545    metrics:546    - type: cosine_accuracy@1547      value: 0.625548      name: Cosine Accuracy@1549    - type: cosine_accuracy@3550      value: 0.775551      name: Cosine Accuracy@3552    - type: cosine_accuracy@5553      value: 0.85554      name: Cosine Accuracy@5555    - type: cosine_accuracy@10556      value: 0.875557      name: Cosine Accuracy@10558    - type: cosine_precision@1559      value: 0.625560      name: Cosine Precision@1561    - type: cosine_precision@3562      value: 0.26666666666666666563      name: Cosine Precision@3564    - type: cosine_precision@5565      value: 0.175566      name: Cosine Precision@5567    - type: cosine_precision@10568      value: 0.09569      name: Cosine Precision@10570    - type: cosine_recall@1571      value: 0.6125572      name: Cosine Recall@1573    - type: cosine_recall@3574      value: 0.775575      name: Cosine Recall@3576    - type: cosine_recall@5577      value: 0.85578      name: Cosine Recall@5579    - type: cosine_recall@10580      value: 0.875581      name: Cosine Recall@10582    - type: cosine_ndcg@10583      value: 0.751012115577437584      name: Cosine Ndcg@10585    - type: cosine_mrr@10586      value: 0.7108333333333333587      name: Cosine Mrr@10588    - type: cosine_map@100589      value: 0.7160762727610553590      name: Cosine Map@100591  - task:592      type: information-retrieval593      name: Information Retrieval594    dataset:595      name: dim 128596      type: dim_128597    metrics:598    - type: cosine_accuracy@1599      value: 0.625600      name: Cosine Accuracy@1601    - type: cosine_accuracy@3602      value: 0.725603      name: Cosine Accuracy@3604    - type: cosine_accuracy@5605      value: 0.775606      name: Cosine Accuracy@5607    - type: cosine_accuracy@10608      value: 0.875609      name: Cosine Accuracy@10610    - type: cosine_precision@1611      value: 0.625612      name: Cosine Precision@1613    - type: cosine_precision@3614      value: 0.25615      name: Cosine Precision@3616    - type: cosine_precision@5617      value: 0.16618      name: Cosine Precision@5619    - type: cosine_precision@10620      value: 0.09621      name: Cosine Precision@10622    - type: cosine_recall@1623      value: 0.6125624      name: Cosine Recall@1625    - type: cosine_recall@3626      value: 0.725627      name: Cosine Recall@3628    - type: cosine_recall@5629      value: 0.775630      name: Cosine Recall@5631    - type: cosine_recall@10632      value: 0.875633      name: Cosine Recall@10634    - type: cosine_ndcg@10635      value: 0.7406583468855168636      name: Cosine Ndcg@10637    - type: cosine_mrr@10638      value: 0.6992361111111112639      name: Cosine Mrr@10640    - type: cosine_map@100641      value: 0.7050551531801532642      name: Cosine Map@100643  - task:644      type: information-retrieval645      name: Information Retrieval646    dataset:647      name: dim 64648      type: dim_64649    metrics:650    - type: cosine_accuracy@1651      value: 0.625652      name: Cosine Accuracy@1653    - type: cosine_accuracy@3654      value: 0.7655      name: Cosine Accuracy@3656    - type: cosine_accuracy@5657      value: 0.75658      name: Cosine Accuracy@5659    - type: cosine_accuracy@10660      value: 0.8661      name: Cosine Accuracy@10662    - type: cosine_precision@1663      value: 0.625664      name: Cosine Precision@1665    - type: cosine_precision@3666      value: 0.24166666666666664667      name: Cosine Precision@3668    - type: cosine_precision@5669      value: 0.15500000000000003670      name: Cosine Precision@5671    - type: cosine_precision@10672      value: 0.08249999999999999673      name: Cosine Precision@10674    - type: cosine_recall@1675      value: 0.6125676      name: Cosine Recall@1677    - type: cosine_recall@3678      value: 0.7679      name: Cosine Recall@3680    - type: cosine_recall@5681      value: 0.75682      name: Cosine Recall@5683    - type: cosine_recall@10684      value: 0.8685      name: Cosine Recall@10686    - type: cosine_ndcg@10687      value: 0.7078094654337568688      name: Cosine Ndcg@10689    - type: cosine_mrr@10690      value: 0.6793055555555555691      name: Cosine Mrr@10692    - type: cosine_map@100693      value: 0.6907221236895149694      name: Cosine Map@100695---696 697# ModernBERT Embed base Legal Matryoshka698 699This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [nomic-ai/nomic-embed-text-v2-moe](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) on the json dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.700 701## Model Details702 703### Model Description704- **Model Type:** Sentence Transformer705- **Base model:** [nomic-ai/nomic-embed-text-v2-moe](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) <!-- at revision f6a8873b415144a69ffc529ec1e234d1e00ee765 -->706- **Maximum Sequence Length:** 512 tokens707- **Output Dimensionality:** 768 dimensions708- **Similarity Function:** Cosine Similarity709- **Training Dataset:**710    - json711- **Language:** en712- **License:** apache-2.0713 714### Model Sources715 716- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)717- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)718- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)719 720### Full Model Architecture721 722```723SentenceTransformer(724  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: NomicBertModel 725  (1): Pooling({'word_embedding_dimension': 768, '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})726  (2): Normalize()727)728```729 730## Usage731 732### Direct Usage (Sentence Transformers)733 734First install the Sentence Transformers library:735 736```bash737pip install -U sentence-transformers738```739 740Then you can load this model and run inference.741```python742from sentence_transformers import SentenceTransformer743 744# Download from the 🤗 Hub745model = SentenceTransformer("tsss1/expressvpn_embeddingmodel")746# Run inference747sentences = [748    'Last updated: October 21, 2024\n\nThis guide is for users who are having issues streaming Max (formerly HBO Max) while connected to the VPN.\n\nTo comply with the Max Terms of Use and ExpressVPN Terms of Service, you should connect to a server location that matches the country where you are currently located.\n\nJump to…\n\n1. Change to a different VPN server location\n2. Sign out of the Max app, then sign in again\n3. Watch Max using your browser\n4. Contact ExpressVPN Support\n\n1. Change to a different VPN server location\n\nIf you are a U.S. user having issues streaming Max, try changing to these VPN server locations in the following order:\n\nUSA – San Francisco\nUSA – Washington DC\nUSA – New York\nUSA – Los Angeles – 1\n\nBelow are instructions for changing your VPN server location on:\n\nWindows\nMac\niOS\nAndroid\nAndroid TV\nApple TV\nLinux\nRouters\nIf you are streaming via the Max app, you should force-close it and reopen it each time you change location. Below are instructions for force-closing an app on:iOS: Swipe up from the bottom of the homescreen, keeping your finger pressed until app previews appear at left. Swipe to find the Max app preview, then swipe up to close the app.\n\nAndroid: On your Android device, open your multitasking interface. The way to do this varies depending on your device:\n\nIf your device has three icons at the bottom of the screen, tap either the three vertical lines icon or the square icon.\nIf your device features a single horizontal line at the bottom of the screen, swipe up from the bottom to the middle of the screen, hold for a second, then release.\n\nNext, swipe to find the Max app preview, then swipe to force-close the app. The direction you need to swipe will vary depending on your device.\n\nAndroid TV: Go to Settings, select Apps, and scroll to find the Max app. Select the app, then select Force Stop.\n\nFire TV/Fire Stick: Go to Settings, select Applications, select Manage Installed Applications. Scroll to find the Max app. Select the app, then select Force Stop.\n\nApple TV: Double-click the TV icon on your remote to see the apps currently running. Swipe to find the Max app preview, then swipe up to close the app.\n\nIf you are a non-U.S. user having issues streaming Max, proceed to the next step.\n\nNeed help?\xa0Contact the ExpressVPN Support Team for immediate assistance.\n\nBack to top\n\n2. Sign out of the Max app, then sign in again\n\nIf you are using the Max app, sign out of it, restart your device, and then sign back in.\n\nNeed help?\xa0Contact the ExpressVPN Support Team for immediate assistance.\n\nBack to top\n\n3. Watch Max on your browser\n\nTry streaming Max via your browser by going to https://www.max.com/login and signing in with your Max account details.\n\nIf you are having issues streaming Max from your browser while connected to the VPN:\n\nGet the ExpressVPN browser extension (available for Windows, Mac, and Linux). To use the browser extension, you must also have the ExpressVPN app installed on your computer.\nU.S. users should try connecting to these server locations in the following order:\nUSA – San Francisco\nUSA – Washington DC\nUSA – New York\nUSA – Los Angeles – 1\n\nNon-U.S. users should proceed to the next step.\n\nTry using a different browser. The ExpressVPN browser extension is available on Windows, Mac, and Linux, and it works with Chrome, Firefox, Vivaldi, Chromium, Brave, and Microsoft Edge. The ExpressVPN app must also be installed.\n\nNeed help?\xa0Contact the ExpressVPN Support Team for immediate assistance.\n\nBack to top\n\n4. Contact Support\n\nIf you are still unable to stream Max while connected to the VPN, contact the ExpressVPN Support Team.\n\nBack to top\n\nExpressVPN is optimized to work with Max so you can enjoy online privacy and security all the time, without the VPN interfering. It should never be used as a means of copyright circumvention, which is strictly against our Terms of Service. As we cannot see or control what you do while connected to our VPN, you are responsible at all times for complying with our terms, the Max Terms of Use, and any applicable laws. Compliance requires you to be located in the U.S. while streaming Max with ExpressVPN.\nWas this article helpful?\nYes No',749    'Troubleshooting steps for streaming Max',750    'I can help you with various questions and issues related to ExpressVPN. What do you need assistance with: \n\n',751]752embeddings = model.encode(sentences)753print(embeddings.shape)754# [3, 768]755 756# Get the similarity scores for the embeddings757similarities = model.similarity(embeddings, embeddings)758print(similarities.shape)759# [3, 3]760```761 762<!--763### Direct Usage (Transformers)764 765<details><summary>Click to see the direct usage in Transformers</summary>766 767</details>768-->769 770<!--771### Downstream Usage (Sentence Transformers)772 773You can finetune this model on your own dataset.774 775<details><summary>Click to expand</summary>776 777</details>778-->779 780<!--781### Out-of-Scope Use782 783*List how the model may foreseeably be misused and address what users ought not to do with the model.*784-->785 786## Evaluation787 788### Metrics789 790#### Information Retrieval791 792* Datasets: `dim_768`, `dim_512`, `dim_256`, `dim_128` and `dim_64`793* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)794 795| Metric              | dim_768    | dim_512    | dim_256   | dim_128    | dim_64     |796|:--------------------|:-----------|:-----------|:----------|:-----------|:-----------|797| cosine_accuracy@1   | 0.6        | 0.6        | 0.625     | 0.625      | 0.625      |798| cosine_accuracy@3   | 0.775      | 0.775      | 0.775     | 0.725      | 0.7        |799| cosine_accuracy@5   | 0.825      | 0.875      | 0.85      | 0.775      | 0.75       |800| cosine_accuracy@10  | 0.875      | 0.9        | 0.875     | 0.875      | 0.8        |801| cosine_precision@1  | 0.6        | 0.6        | 0.625     | 0.625      | 0.625      |802| cosine_precision@3  | 0.2667     | 0.2667     | 0.2667    | 0.25       | 0.2417     |803| cosine_precision@5  | 0.17       | 0.18       | 0.175     | 0.16       | 0.155      |804| cosine_precision@10 | 0.09       | 0.0925     | 0.09      | 0.09       | 0.0825     |805| cosine_recall@1     | 0.5875     | 0.5875     | 0.6125    | 0.6125     | 0.6125     |806| cosine_recall@3     | 0.775      | 0.775      | 0.775     | 0.725      | 0.7        |807| cosine_recall@5     | 0.825      | 0.875      | 0.85      | 0.775      | 0.75       |808| cosine_recall@10    | 0.875      | 0.9        | 0.875     | 0.875      | 0.8        |809| **cosine_ndcg@10**  | **0.7465** | **0.7552** | **0.751** | **0.7407** | **0.7078** |810| cosine_mrr@10       | 0.7042     | 0.7083     | 0.7108    | 0.6992     | 0.6793     |811| cosine_map@100      | 0.7103     | 0.7124     | 0.7161    | 0.7051     | 0.6907     |812 813<!--814## Bias, Risks and Limitations815 816*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*817-->818 819<!--820### Recommendations821 822*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*823-->824 825## Training Details826 827### Training Dataset828 829#### json830 831* Dataset: json832* Size: 357 training samples833* Columns: <code>positive</code> and <code>anchor</code>834* Approximate statistics based on the first 357 samples:835  |         | positive                                                                             | anchor                                                                             |836  |:--------|:-------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|837  | type    | string                                                                               | string                                                                             |838  | details | <ul><li>min: 21 tokens</li><li>mean: 322.47 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 6 tokens</li><li>mean: 32.25 tokens</li><li>max: 512 tokens</li></ul> |839* Samples:840  | positive                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | anchor                                                                                                                              |841  |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------|842  | <code>I'd like to discuss common issues that users face when using ExpressVPN. <br><br>1. Slow speeds and connectivity issues.<br>2. Difficulty in setting up ExpressVPN on various devices such as routers, smart TVs, and gaming consoles.<br>3. Issues with unblocking geo-restricted content on popular streaming services like Netflix, Hulu, and BBC iPlayer.<br>4. Troubleshooting failed connections and unable to connect to a VPN server.<br><br>Which one of these topics would you like to discuss further, or is there something else you'd like to bring up?</code> | <code>I'd be happy to help with any questions or concerns you have about ExpressVPN. What would you like to know or discuss?</code> |843  | <code>I'd like to provide information about ExpressVPN, but I think it would be more helpful to get some assistance from you. <br><br>I'd like to know more about the process of setting up ExpressVPN on a router. Could you explain the general steps to follow and any potential issues that users may encounter during the setup process? Additionally, are there any specific router models that are known to be compatible with ExpressVPN?</code>                                                                                                                          | <code>I can help you with any question you have about ExpressVPN. What is it that you need help with?</code>                        |844  | <code>Last updated: January 11, 2023<br><br>Important: If your ExpressVPN free trial or subscription was initiated via the iOS App Store, refer to this guide.<br><br>This guide will explain how to get or extend an ExpressVPN subscription for iOS users who did not get a free trial or subscription via the App Store.<br><br>Note: Upgrades and renewals are not currently available within the ExpressVPN app for iOS.</code>                                                                                                                                              | <code>ExpressVPN iOS free trial or subscription expiring</code>                                                                     |845* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:846  ```json847  {848      "loss": "MultipleNegativesRankingLoss",849      "matryoshka_dims": [850          768,851          512,852          256,853          128,854          64855      ],856      "matryoshka_weights": [857          1,858          1,859          1,860          1,861          1862      ],863      "n_dims_per_step": -1864  }865  ```866 867### Training Hyperparameters868#### Non-Default Hyperparameters869 870- `eval_strategy`: epoch871- `per_device_train_batch_size`: 2872- `per_device_eval_batch_size`: 2873- `gradient_accumulation_steps`: 4874- `learning_rate`: 2e-05875- `num_train_epochs`: 7876- `lr_scheduler_type`: cosine877- `warmup_ratio`: 0.1878- `bf16`: True879- `tf32`: False880- `load_best_model_at_end`: True881- `optim`: adamw_torch_fused882- `batch_sampler`: no_duplicates883 884#### All Hyperparameters885<details><summary>Click to expand</summary>886 887- `overwrite_output_dir`: False888- `do_predict`: False889- `eval_strategy`: epoch890- `prediction_loss_only`: True891- `per_device_train_batch_size`: 2892- `per_device_eval_batch_size`: 2893- `per_gpu_train_batch_size`: None894- `per_gpu_eval_batch_size`: None895- `gradient_accumulation_steps`: 4896- `eval_accumulation_steps`: None897- `torch_empty_cache_steps`: None898- `learning_rate`: 2e-05899- `weight_decay`: 0.0900- `adam_beta1`: 0.9901- `adam_beta2`: 0.999902- `adam_epsilon`: 1e-08903- `max_grad_norm`: 1.0904- `num_train_epochs`: 7905- `max_steps`: -1906- `lr_scheduler_type`: cosine907- `lr_scheduler_kwargs`: {}908- `warmup_ratio`: 0.1909- `warmup_steps`: 0910- `log_level`: passive911- `log_level_replica`: warning912- `log_on_each_node`: True913- `logging_nan_inf_filter`: True914- `save_safetensors`: True915- `save_on_each_node`: False916- `save_only_model`: False917- `restore_callback_states_from_checkpoint`: False918- `no_cuda`: False919- `use_cpu`: False920- `use_mps_device`: False921- `seed`: 42922- `data_seed`: None923- `jit_mode_eval`: False924- `use_ipex`: False925- `bf16`: True926- `fp16`: False927- `fp16_opt_level`: O1928- `half_precision_backend`: auto929- `bf16_full_eval`: False930- `fp16_full_eval`: False931- `tf32`: False932- `local_rank`: 0933- `ddp_backend`: None934- `tpu_num_cores`: None935- `tpu_metrics_debug`: False936- `debug`: []937- `dataloader_drop_last`: False938- `dataloader_num_workers`: 0939- `dataloader_prefetch_factor`: None940- `past_index`: -1941- `disable_tqdm`: False942- `remove_unused_columns`: True943- `label_names`: None944- `load_best_model_at_end`: True945- `ignore_data_skip`: False946- `fsdp`: []947- `fsdp_min_num_params`: 0948- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}949- `fsdp_transformer_layer_cls_to_wrap`: None950- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}951- `deepspeed`: None952- `label_smoothing_factor`: 0.0953- `optim`: adamw_torch_fused954- `optim_args`: None955- `adafactor`: False956- `group_by_length`: False957- `length_column_name`: length958- `ddp_find_unused_parameters`: None959- `ddp_bucket_cap_mb`: None960- `ddp_broadcast_buffers`: False961- `dataloader_pin_memory`: True962- `dataloader_persistent_workers`: False963- `skip_memory_metrics`: True964- `use_legacy_prediction_loop`: False965- `push_to_hub`: False966- `resume_from_checkpoint`: None967- `hub_model_id`: None968- `hub_strategy`: every_save969- `hub_private_repo`: None970- `hub_always_push`: False971- `gradient_checkpointing`: False972- `gradient_checkpointing_kwargs`: None973- `include_inputs_for_metrics`: False974- `include_for_metrics`: []975- `eval_do_concat_batches`: True976- `fp16_backend`: auto977- `push_to_hub_model_id`: None978- `push_to_hub_organization`: None979- `mp_parameters`: 980- `auto_find_batch_size`: False981- `full_determinism`: False982- `torchdynamo`: None983- `ray_scope`: last984- `ddp_timeout`: 1800985- `torch_compile`: False986- `torch_compile_backend`: None987- `torch_compile_mode`: None988- `dispatch_batches`: None989- `split_batches`: None990- `include_tokens_per_second`: False991- `include_num_input_tokens_seen`: False992- `neftune_noise_alpha`: None993- `optim_target_modules`: None994- `batch_eval_metrics`: False995- `eval_on_start`: False996- `use_liger_kernel`: False997- `eval_use_gather_object`: False998- `average_tokens_across_devices`: False999- `prompts`: None1000- `batch_sampler`: no_duplicates1001- `multi_dataset_batch_sampler`: proportional1002 1003</details>1004 1005### Training Logs1006| Epoch      | Step   | Training Loss | dim_768_cosine_ndcg@10 | dim_512_cosine_ndcg@10 | dim_256_cosine_ndcg@10 | dim_128_cosine_ndcg@10 | dim_64_cosine_ndcg@10 |1007|:----------:|:------:|:-------------:|:----------------------:|:----------------------:|:----------------------:|:----------------------:|:---------------------:|1008| 0.2235     | 10     | 2.9921        | -                      | -                      | -                      | -                      | -                     |1009| 0.4469     | 20     | 0.9824        | -                      | -                      | -                      | -                      | -                     |1010| 0.6704     | 30     | 0.6762        | -                      | -                      | -                      | -                      | -                     |1011| 0.8939     | 40     | 0.0133        | -                      | -                      | -                      | -                      | -                     |1012| 0.9832     | 44     | -             | 0.7669                 | 0.7701                 | -                      | -                      | -                     |1013| 0.2235     | 10     | 0.0179        | -                      | -                      | -                      | -                      | -                     |1014| 0.4469     | 20     | 0.2714        | -                      | -                      | -                      | -                      | -                     |1015| 0.6704     | 30     | 0.0104        | -                      | -                      | -                      | -                      | -                     |1016| 0.8939     | 40     | 0.0015        | -                      | -                      | -                      | -                      | -                     |1017| 0.9832     | 44     | -             | 0.7442                 | 0.7594                 | 0.7465                 | 0.7149                 | 0.7046                |1018| 1.1341     | 50     | 0.2207        | -                      | -                      | -                      | -                      | -                     |1019| 1.3575     | 60     | 0.48          | -                      | -                      | -                      | -                      | -                     |1020| 1.5810     | 70     | 0.003         | -                      | -                      | -                      | -                      | -                     |1021| 1.8045     | 80     | 0.2985        | -                      | -                      | -                      | -                      | -                     |1022| **1.9832** | **88** | **-**         | **0.7751**             | **0.774**              | **0.7821**             | **0.7746**             | **0.7365**            |1023| 2.0447     | 90     | 0.0168        | -                      | -                      | -                      | -                      | -                     |1024| 2.2682     | 100    | 0.0698        | -                      | -                      | -                      | -                      | -                     |1025| 2.4916     | 110    | 0.0054        | -                      | -                      | -                      | -                      | -                     |1026| 2.7151     | 120    | 0.0112        | -                      | -                      | -                      | -                      | -                     |1027| 2.9385     | 130    | 0.0031        | -                      | -                      | -                      | -                      | -                     |1028| 2.9832     | 132    | -             | 0.7569                 | 0.7537                 | 0.7565                 | 0.7588                 | 0.7251                |1029| 3.1788     | 140    | 0.1794        | -                      | -                      | -                      | -                      | -                     |1030| 3.4022     | 150    | 0.3266        | -                      | -                      | -                      | -                      | -                     |1031| 3.6257     | 160    | 0.0006        | -                      | -                      | -                      | -                      | -                     |1032| 3.8492     | 170    | 0.0003        | -                      | -                      | -                      | -                      | -                     |1033| 3.9832     | 176    | -             | 0.7491                 | 0.7613                 | 0.7526                 | 0.7513                 | 0.7206                |1034| 4.0894     | 180    | 0.2622        | -                      | -                      | -                      | -                      | -                     |1035| 4.3128     | 190    | 0.0004        | -                      | -                      | -                      | -                      | -                     |1036| 4.5363     | 200    | 0.0392        | -                      | -                      | -                      | -                      | -                     |1037| 4.7598     | 210    | 0.3312        | -                      | -                      | -                      | -                      | -                     |1038| 4.9832     | 220    | 0.0021        | 0.7548                 | 0.7527                 | 0.7466                 | 0.7568                 | 0.7101                |1039| 5.2235     | 230    | 0.7593        | -                      | -                      | -                      | -                      | -                     |1040| 5.4469     | 240    | 0.0004        | -                      | -                      | -                      | -                      | -                     |1041| 5.6704     | 250    | 0.0003        | -                      | -                      | -                      | -                      | -                     |1042| 5.8939     | 260    | 0.0154        | -                      | -                      | -                      | -                      | -                     |1043| 5.9832     | 264    | -             | 0.7498                 | 0.7545                 | 0.7510                 | 0.7407                 | 0.7147                |1044| 6.1341     | 270    | 0.0162        | -                      | -                      | -                      | -                      | -                     |1045| 6.3575     | 280    | 0.447         | -                      | -                      | -                      | -                      | -                     |1046| 6.5810     | 290    | 0.001         | -                      | -                      | -                      | -                      | -                     |1047| 6.8045     | 300    | 0.1628        | -                      | -                      | -                      | -                      | -                     |1048| 6.9832     | 308    | -             | 0.7465                 | 0.7552                 | 0.7510                 | 0.7407                 | 0.7078                |1049 1050* The bold row denotes the saved checkpoint.1051 1052### Framework Versions1053- Python: 3.11.111054- Sentence Transformers: 3.4.11055- Transformers: 4.48.31056- PyTorch: 2.3.1+cu1211057- Accelerate: 1.3.01058- Datasets: 3.3.21059- Tokenizers: 0.21.01060 1061## Citation1062 1063### BibTeX1064 1065#### Sentence Transformers1066```bibtex1067@inproceedings{reimers-2019-sentence-bert,1068    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",1069    author = "Reimers, Nils and Gurevych, Iryna",1070    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",1071    month = "11",1072    year = "2019",1073    publisher = "Association for Computational Linguistics",1074    url = "https://arxiv.org/abs/1908.10084",1075}1076```1077 1078#### MatryoshkaLoss1079```bibtex1080@misc{kusupati2024matryoshka,1081    title={Matryoshka Representation Learning},1082    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},1083    year={2024},1084    eprint={2205.13147},1085    archivePrefix={arXiv},1086    primaryClass={cs.LG}1087}1088```1089 1090#### MultipleNegativesRankingLoss1091```bibtex1092@misc{henderson2017efficient,1093    title={Efficient Natural Language Response Suggestion for Smart Reply},1094    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},1095    year={2017},1096    eprint={1705.00652},1097    archivePrefix={arXiv},1098    primaryClass={cs.CL}1099}1100```1101 1102<!--1103## Glossary1104 1105*Clearly define terms in order to be accessible across audiences.*1106-->1107 1108<!--1109## Model Card Authors1110 1111*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*1112-->1113 1114<!--1115## Model Card Contact1116 1117*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*1118-->