Add new SentenceTransformer model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "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
+}

README.md

@@ -0,0 +1,1118 @@
+---
+language:
+- en
+license: apache-2.0
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:357
+- loss:MatryoshkaLoss
+- loss:MultipleNegativesRankingLoss
+base_model: nomic-ai/nomic-embed-text-v2-moe
+widget:
+- source_sentence: 'Last updated: September 4, 2024
+
+
+    This guide will show you how to use the split tunneling feature on the ExpressVPN
+    apps for Windows and Mac.
+
+
+    Important: The split tunneling feature is not available on macOS 11 and above.
+    Follow this guide to find out which version of macOS you are using.
+
+    Note: Split tunneling is also not currently available on the ExpressVPN app for
+    Windows 11 on ARM64.'
+  sentences:
+  - How to use Kodi with ExpressVPN on iOS
+  - How to use the split tunneling feature
+  - What’s new in ExpressVPN for Linux?
+- source_sentence: 'Last updated: July 5, 2024
+
+
+    Need a VPN or DNS for your device?
+
+    Get ExpressVPN Now
+
+
+    Password Health is a feature in ExpressVPN Keys designed to help improve your
+    overall account security. It offers an assessment of your password security through
+    a security score, as well as tips and guidance on how to improve it, protecting
+    you against password hacks.
+
+
+    Your security score is calculated based on the strength of your passwords, whether
+    you use the same password more than once, and whether the website URLs you stored
+    are secure. Your score will improve as you resolve these issues.
+
+
+    Your logins and passwords are assessed locally on your device—they never leave
+    your device. Learn more about the privacy of Password Health.
+
+
+    To access Password Health, add at least one login, then tap on the number icon
+    at the top-right of the Keys screen.
+
+
+    How to improve your security score?
+
+
+    Learn more about the security issues that can be affecting your security score
+    and ways to improve it below.
+
+
+    Weak passwords
+
+
+    Weak passwords can be easy to guess or crack easily by both humans and computers,
+    making them vulnerable to password theft or compromise. They include common dictionary
+    words, such as “apple” or “boy” or words that are easy to guess, such as place
+    names or the names of your partner.
+
+
+    To keep all your accounts safe, generate strong and unique passwords in ExpressVPN
+    Keys.
+
+
+    Reused passwords
+
+
+    A reused password is a password you use across multiple services or accounts.
+    If your password is compromised, attackers may gain unauthorized access to all
+    these accounts with the compromised password. The more accounts you have using
+    the same password, the higher the risks involved.
+
+
+    To keep all your accounts secure, use strong and unique passwords for all your
+    accounts.
+
+
+    Logins using an unsecure URL
+
+
+    Unsecure URLs start with http:// instead of https://. Any data passing between
+    you and the website is not encrypted and can be read by third parties, including
+    your passwords, usernames, email address, and credit card numbers.
+
+
+    To keep all your accounts safe, use only https:// in your URLs:
+
+
+    On the Keys login information screen, tap Help Me Fix at the top.
+
+    Tap Use HTTPS.
+
+    Exposed passwords
+
+
+    A password is exposed if it has been found in a list of passwords online, often
+    as part of data breaches. Attackers often attempt to sign in to services by trying
+    all known exposed passwords available on the dark web. The more accounts you have
+    using the same exposed password, the more vulnerable you are to being hacked.
+
+
+    Data breaches potentially put your passwords at risk and are being reported at
+    an accelerated rate, sometimes multiple times a week. To minimize the risk of
+    exposed passwords, use strong and unique passwords for all your accounts and update
+    any exposed password as soon as ExpressVPN Keys alerts you to do so.
+
+
+    Two-factor authentication not enabled
+
+
+    Two-factor authentication (2FA) adds an extra layer of protection to your online
+    accounts, preventing unauthorized access even if your passwords are compromised.
+
+
+    To keep your accounts safe, you should enable 2FA where possible. ExpressVPN Keys
+    lets you add 2FA codes to compatible accounts on the ExpressVPN app for Android
+    and iOS. Once set up, Keys can easily generate 2FA codes—also known as time-based
+    one-time passwords (TOTPs)—for websites or apps with 2FA enabled.
+
+
+    Important: You can only view and copy 2FA codes on the ExpressVPN Keys browser
+    extension. You will be able to add 2FA codes on the browser extension at a later
+    date.
+
+
+    Need help? Contact the ExpressVPN Support Team for immediate assistance.
+
+
+    Back to top
+
+
+    Was this article helpful?
+
+    Yes No'
+  sentences:
+  - what is batch size in one line
+  - What is password health?
+  - How to set up ExpressVPN on Amazon Fire tablet
+- source_sentence: "Thanks for the clarification that I can provide information on\
+    \ ExpressVPN. I can provide some general information on ExpressVPN, or help with\
+    \ troubleshooting common issues. I can provide explanations on how to install\
+    \ and set up ExpressVPN on various devices. \n\nSome potential areas to explore\
+    \ could be:\n\n1. Troubleshooting common issues with ExpressVPN, such as connection\
+    \ problems, slow speeds, or DNS leaks.\n2. Providing step-by-step instructions\
+    \ on how to install and set up ExpressVPN on different devices, such as Windows,\
+    \ macOS, Android, iOS, or routers.\n3. Explaining ExpressVPN's features, such\
+    \ as split tunneling, kill switch, and server locations.\n4. Discussing ExpressVPN's\
+    \ pricing plans, refund policy, and customer support.\n\nWhat would you like to\
+    \ know about ExpressVPN, or what type of issue would you like to troubleshoot?"
+  sentences:
+  - "What are the features of ExpressVPN?\n\nExpressVPN is known for its high-speed\
+    \ performance and wide range of servers. Some of its key features include:\n\n\
+    1. 128-bit AES encryption, \n2.  256-bit encryption,\n3.  128-bit Blowfish encryption,\n\
+    4. 256-bit encryption,\n5.  AES encryption,\n6.  AES-256,\n7.  AES 256-bit encryption.\n\
+    \nNote: The encryption methods are not as stated. \n\n"
+  - I can provide information on ExpressVPN. What do you need help with?
+  - "I'm trying to use the ExpressVPN app on my Windows 10 computer, but the VPN connection\
+    \ isn't working. I've checked the account credentials, and they seem to be correct.\
+    \ I've also tried restarting the Windows 10 computer and restarting the ExpressVPN\
+    \ app. \n\n"
+- source_sentence: 'Last updated: November 7, 2024
+
+
+    Need a VPN or DNS for your device?
+
+    Get ExpressVPN Now
+
+
+    This guide will show you how to reset your recovery code for your ExpressVPN Keys
+    account. You should reset your recovery code if you have lost it or believe it
+    may have been compromised.
+
+
+    To reset your recovery code, you will need your primary password. You can reset
+    your recovery code using the ExpressVPN app for Android or the ExpressVPN Keys
+    Chrome extension. This functionality is not available in the ExpressVPN app for
+    iOS.
+
+
+    ExpressVPN for Android
+
+    In the ExpressVPN app for Android, tap Options.
+
+    Tap Other Settings > Security > Reset your recovery code.
+
+    Tap RESET RECOVERY CODE.
+
+    Enter your primary password.
+
+    Store your new recovery code in a safe place.
+
+    ExpressVPN Keys Chrome extension
+
+    In the ExpressVPN Keys Chrome extension, click Options.
+
+    Go to Settings > Security > Reset Recovery Code.
+
+    Click Reset Recovery Code.
+
+    Enter your primary password.
+
+    Store your new recovery code in a safe place.
+
+
+    If you have lost both your primary password and your recovery code, contact the
+    ExpressVPN Support Team to reset your password manager account.
+
+
+    Back to top
+
+
+    Was this article helpful?
+
+    Yes No'
+  sentences:
+  - How is my ExpressVPN Keys data managed?
+  - How to reset your recovery code
+  - How to set up ExpressVPN on ASUSTOR with OpenVPN
+- source_sentence: 'Last updated: October 21, 2024
+
+
+    This guide is for users who are having issues streaming Max (formerly HBO Max)
+    while connected to the VPN.
+
+
+    To 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.
+
+
+    Jump to…
+
+
+    1. Change to a different VPN server location
+
+    2. Sign out of the Max app, then sign in again
+
+    3. Watch Max using your browser
+
+    4. Contact ExpressVPN Support
+
+
+    1. Change to a different VPN server location
+
+
+    If you are a U.S. user having issues streaming Max, try changing to these VPN
+    server locations in the following order:
+
+
+    USA – San Francisco
+
+    USA – Washington DC
+
+    USA – New York
+
+    USA – Los Angeles – 1
+
+
+    Below are instructions for changing your VPN server location on:
+
+
+    Windows
+
+    Mac
+
+    iOS
+
+    Android
+
+    Android TV
+
+    Apple TV
+
+    Linux
+
+    Routers
+
+    If 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.
+
+
+    Android: On your Android device, open your multitasking interface. The way to
+    do this varies depending on your device:
+
+
+    If your device has three icons at the bottom of the screen, tap either the three
+    vertical lines icon or the square icon.
+
+    If 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.
+
+
+    Next, 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.
+
+
+    Android TV: Go to Settings, select Apps, and scroll to find the Max app. Select
+    the app, then select Force Stop.
+
+
+    Fire 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.
+
+
+    Apple 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.
+
+
+    If you are a non-U.S. user having issues streaming Max, proceed to the next step.
+
+
+    Need help? Contact the ExpressVPN Support Team for immediate assistance.
+
+
+    Back to top
+
+
+    2. Sign out of the Max app, then sign in again
+
+
+    If you are using the Max app, sign out of it, restart your device, and then sign
+    back in.
+
+
+    Need help? Contact the ExpressVPN Support Team for immediate assistance.
+
+
+    Back to top
+
+
+    3. Watch Max on your browser
+
+
+    Try streaming Max via your browser by going to https://www.max.com/login and signing
+    in with your Max account details.
+
+
+    If you are having issues streaming Max from your browser while connected to the
+    VPN:
+
+
+    Get 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.
+
+    U.S. users should try connecting to these server locations in the following order:
+
+    USA – San Francisco
+
+    USA – Washington DC
+
+    USA – New York
+
+    USA – Los Angeles – 1
+
+
+    Non-U.S. users should proceed to the next step.
+
+
+    Try 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.
+
+
+    Need help? Contact the ExpressVPN Support Team for immediate assistance.
+
+
+    Back to top
+
+
+    4. Contact Support
+
+
+    If you are still unable to stream Max while connected to the VPN, contact the
+    ExpressVPN Support Team.
+
+
+    Back to top
+
+
+    ExpressVPN 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.
+
+    Was this article helpful?
+
+    Yes No'
+  sentences:
+  - Troubleshooting steps for streaming Max
+  - "I can help you with various questions and issues related to ExpressVPN. What\
+    \ do you need assistance with: \n\n"
+  - How to choose the appropriate Wi-Fi settings on a router running ExpressVPN
+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
+model-index:
+- name: ModernBERT Embed base Legal Matryoshka
+  results:
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: dim 768
+      type: dim_768
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.6
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.775
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.825
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 0.875
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.6
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.26666666666666666
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.17
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.09
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.5875
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.775
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.825
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 0.875
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.7464836502947895
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.7041666666666667
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.7103005547084493
+      name: Cosine Map@100
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: dim 512
+      type: dim_512
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.6
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.775
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.875
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 0.9
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.6
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.26666666666666666
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.18
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.0925
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.5875
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.775
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.875
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 0.9
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.7552425519590626
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.7083333333333333
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.7123785914060513
+      name: Cosine Map@100
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: dim 256
+      type: dim_256
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.625
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.775
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.85
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 0.875
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.625
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.26666666666666666
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.175
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.09
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.6125
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.775
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.85
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 0.875
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.751012115577437
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.7108333333333333
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.7160762727610553
+      name: Cosine Map@100
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: dim 128
+      type: dim_128
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.625
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.725
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.775
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 0.875
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.625
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.25
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.16
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.09
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.6125
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.725
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.775
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 0.875
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.7406583468855168
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.6992361111111112
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.7050551531801532
+      name: Cosine Map@100
+  - task:
+      type: information-retrieval
+      name: Information Retrieval
+    dataset:
+      name: dim 64
+      type: dim_64
+    metrics:
+    - type: cosine_accuracy@1
+      value: 0.625
+      name: Cosine Accuracy@1
+    - type: cosine_accuracy@3
+      value: 0.7
+      name: Cosine Accuracy@3
+    - type: cosine_accuracy@5
+      value: 0.75
+      name: Cosine Accuracy@5
+    - type: cosine_accuracy@10
+      value: 0.8
+      name: Cosine Accuracy@10
+    - type: cosine_precision@1
+      value: 0.625
+      name: Cosine Precision@1
+    - type: cosine_precision@3
+      value: 0.24166666666666664
+      name: Cosine Precision@3
+    - type: cosine_precision@5
+      value: 0.15500000000000003
+      name: Cosine Precision@5
+    - type: cosine_precision@10
+      value: 0.08249999999999999
+      name: Cosine Precision@10
+    - type: cosine_recall@1
+      value: 0.6125
+      name: Cosine Recall@1
+    - type: cosine_recall@3
+      value: 0.7
+      name: Cosine Recall@3
+    - type: cosine_recall@5
+      value: 0.75
+      name: Cosine Recall@5
+    - type: cosine_recall@10
+      value: 0.8
+      name: Cosine Recall@10
+    - type: cosine_ndcg@10
+      value: 0.7078094654337568
+      name: Cosine Ndcg@10
+    - type: cosine_mrr@10
+      value: 0.6793055555555555
+      name: Cosine Mrr@10
+    - type: cosine_map@100
+      value: 0.6907221236895149
+      name: Cosine Map@100
+---
+
+# ModernBERT Embed base Legal Matryoshka
+
+This 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.
+
+## Model Details
+
+### Model Description
+- **Model Type:** Sentence Transformer
+- **Base model:** [nomic-ai/nomic-embed-text-v2-moe](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) <!-- at revision f6a8873b415144a69ffc529ec1e234d1e00ee765 -->
+- **Maximum Sequence Length:** 512 tokens
+- **Output Dimensionality:** 768 dimensions
+- **Similarity Function:** Cosine Similarity
+- **Training Dataset:**
+    - json
+- **Language:** en
+- **License:** apache-2.0
+
+### 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': False}) with Transformer model: NomicBertModel 
+  (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})
+  (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("tsss1/expressvpn_embeddingmodel")
+# Run inference
+sentences = [
+    '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',
+    'Troubleshooting steps for streaming Max',
+    'I can help you with various questions and issues related to ExpressVPN. What do you need assistance with: \n\n',
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 768]
+
+# 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
+
+* Datasets: `dim_768`, `dim_512`, `dim_256`, `dim_128` and `dim_64`
+* Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
+
+| Metric              | dim_768    | dim_512    | dim_256   | dim_128    | dim_64     |
+|:--------------------|:-----------|:-----------|:----------|:-----------|:-----------|
+| cosine_accuracy@1   | 0.6        | 0.6        | 0.625     | 0.625      | 0.625      |
+| cosine_accuracy@3   | 0.775      | 0.775      | 0.775     | 0.725      | 0.7        |
+| cosine_accuracy@5   | 0.825      | 0.875      | 0.85      | 0.775      | 0.75       |
+| cosine_accuracy@10  | 0.875      | 0.9        | 0.875     | 0.875      | 0.8        |
+| cosine_precision@1  | 0.6        | 0.6        | 0.625     | 0.625      | 0.625      |
+| cosine_precision@3  | 0.2667     | 0.2667     | 0.2667    | 0.25       | 0.2417     |
+| cosine_precision@5  | 0.17       | 0.18       | 0.175     | 0.16       | 0.155      |
+| cosine_precision@10 | 0.09       | 0.0925     | 0.09      | 0.09       | 0.0825     |
+| cosine_recall@1     | 0.5875     | 0.5875     | 0.6125    | 0.6125     | 0.6125     |
+| cosine_recall@3     | 0.775      | 0.775      | 0.775     | 0.725      | 0.7        |
+| cosine_recall@5     | 0.825      | 0.875      | 0.85      | 0.775      | 0.75       |
+| cosine_recall@10    | 0.875      | 0.9        | 0.875     | 0.875      | 0.8        |
+| **cosine_ndcg@10**  | **0.7465** | **0.7552** | **0.751** | **0.7407** | **0.7078** |
+| cosine_mrr@10       | 0.7042     | 0.7083     | 0.7108    | 0.6992     | 0.6793     |
+| cosine_map@100      | 0.7103     | 0.7124     | 0.7161    | 0.7051     | 0.6907     |
+
+<!--
+## 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
+
+#### json
+
+* Dataset: json
+* Size: 357 training samples
+* Columns: <code>positive</code> and <code>anchor</code>
+* Approximate statistics based on the first 357 samples:
+  |         | positive                                                                             | anchor                                                                             |
+  |:--------|:-------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
+  | type    | string                                                                               | string                                                                             |
+  | 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> |
+* Samples:
+  | positive                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | anchor                                                                                                                              |
+  |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------|
+  | <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> |
+  | <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>                        |
+  | <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>                                                                     |
+* Loss: [<code>MatryoshkaLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#matryoshkaloss) with these parameters:
+  ```json
+  {
+      "loss": "MultipleNegativesRankingLoss",
+      "matryoshka_dims": [
+          768,
+          512,
+          256,
+          128,
+          64
+      ],
+      "matryoshka_weights": [
+          1,
+          1,
+          1,
+          1,
+          1
+      ],
+      "n_dims_per_step": -1
+  }
+  ```
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `eval_strategy`: epoch
+- `per_device_train_batch_size`: 2
+- `per_device_eval_batch_size`: 2
+- `gradient_accumulation_steps`: 4
+- `learning_rate`: 2e-05
+- `num_train_epochs`: 7
+- `lr_scheduler_type`: cosine
+- `warmup_ratio`: 0.1
+- `bf16`: True
+- `tf32`: False
+- `load_best_model_at_end`: True
+- `optim`: adamw_torch_fused
+- `batch_sampler`: no_duplicates
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: epoch
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 2
+- `per_device_eval_batch_size`: 2
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `gradient_accumulation_steps`: 4
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 2e-05
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1.0
+- `num_train_epochs`: 7
+- `max_steps`: -1
+- `lr_scheduler_type`: cosine
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.1
+- `warmup_steps`: 0
+- `log_level`: passive
+- `log_level_replica`: warning
+- `log_on_each_node`: True
+- `logging_nan_inf_filter`: True
+- `save_safetensors`: True
+- `save_on_each_node`: False
+- `save_only_model`: False
+- `restore_callback_states_from_checkpoint`: False
+- `no_cuda`: False
+- `use_cpu`: False
+- `use_mps_device`: False
+- `seed`: 42
+- `data_seed`: None
+- `jit_mode_eval`: False
+- `use_ipex`: False
+- `bf16`: True
+- `fp16`: False
+- `fp16_opt_level`: O1
+- `half_precision_backend`: auto
+- `bf16_full_eval`: False
+- `fp16_full_eval`: False
+- `tf32`: False
+- `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`: True
+- `ignore_data_skip`: False
+- `fsdp`: []
+- `fsdp_min_num_params`: 0
+- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
+- `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_fused
+- `optim_args`: None
+- `adafactor`: False
+- `group_by_length`: False
+- `length_column_name`: length
+- `ddp_find_unused_parameters`: None
+- `ddp_bucket_cap_mb`: None
+- `ddp_broadcast_buffers`: False
+- `dataloader_pin_memory`: True
+- `dataloader_persistent_workers`: False
+- `skip_memory_metrics`: True
+- `use_legacy_prediction_loop`: False
+- `push_to_hub`: False
+- `resume_from_checkpoint`: None
+- `hub_model_id`: None
+- `hub_strategy`: every_save
+- `hub_private_repo`: None
+- `hub_always_push`: False
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_inputs_for_metrics`: False
+- `include_for_metrics`: []
+- `eval_do_concat_batches`: True
+- `fp16_backend`: auto
+- `push_to_hub_model_id`: None
+- `push_to_hub_organization`: None
+- `mp_parameters`: 
+- `auto_find_batch_size`: False
+- `full_determinism`: False
+- `torchdynamo`: None
+- `ray_scope`: last
+- `ddp_timeout`: 1800
+- `torch_compile`: False
+- `torch_compile_backend`: None
+- `torch_compile_mode`: None
+- `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
+- `average_tokens_across_devices`: False
+- `prompts`: None
+- `batch_sampler`: no_duplicates
+- `multi_dataset_batch_sampler`: proportional
+
+</details>
+
+### Training Logs
+| 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 |
+|:----------:|:------:|:-------------:|:----------------------:|:----------------------:|:----------------------:|:----------------------:|:---------------------:|
+| 0.2235     | 10     | 2.9921        | -                      | -                      | -                      | -                      | -                     |
+| 0.4469     | 20     | 0.9824        | -                      | -                      | -                      | -                      | -                     |
+| 0.6704     | 30     | 0.6762        | -                      | -                      | -                      | -                      | -                     |
+| 0.8939     | 40     | 0.0133        | -                      | -                      | -                      | -                      | -                     |
+| 0.9832     | 44     | -             | 0.7669                 | 0.7701                 | -                      | -                      | -                     |
+| 0.2235     | 10     | 0.0179        | -                      | -                      | -                      | -                      | -                     |
+| 0.4469     | 20     | 0.2714        | -                      | -                      | -                      | -                      | -                     |
+| 0.6704     | 30     | 0.0104        | -                      | -                      | -                      | -                      | -                     |
+| 0.8939     | 40     | 0.0015        | -                      | -                      | -                      | -                      | -                     |
+| 0.9832     | 44     | -             | 0.7442                 | 0.7594                 | 0.7465                 | 0.7149                 | 0.7046                |
+| 1.1341     | 50     | 0.2207        | -                      | -                      | -                      | -                      | -                     |
+| 1.3575     | 60     | 0.48          | -                      | -                      | -                      | -                      | -                     |
+| 1.5810     | 70     | 0.003         | -                      | -                      | -                      | -                      | -                     |
+| 1.8045     | 80     | 0.2985        | -                      | -                      | -                      | -                      | -                     |
+| **1.9832** | **88** | **-**         | **0.7751**             | **0.774**              | **0.7821**             | **0.7746**             | **0.7365**            |
+| 2.0447     | 90     | 0.0168        | -                      | -                      | -                      | -                      | -                     |
+| 2.2682     | 100    | 0.0698        | -                      | -                      | -                      | -                      | -                     |
+| 2.4916     | 110    | 0.0054        | -                      | -                      | -                      | -                      | -                     |
+| 2.7151     | 120    | 0.0112        | -                      | -                      | -                      | -                      | -                     |
+| 2.9385     | 130    | 0.0031        | -                      | -                      | -                      | -                      | -                     |
+| 2.9832     | 132    | -             | 0.7569                 | 0.7537                 | 0.7565                 | 0.7588                 | 0.7251                |
+| 3.1788     | 140    | 0.1794        | -                      | -                      | -                      | -                      | -                     |
+| 3.4022     | 150    | 0.3266        | -                      | -                      | -                      | -                      | -                     |
+| 3.6257     | 160    | 0.0006        | -                      | -                      | -                      | -                      | -                     |
+| 3.8492     | 170    | 0.0003        | -                      | -                      | -                      | -                      | -                     |
+| 3.9832     | 176    | -             | 0.7491                 | 0.7613                 | 0.7526                 | 0.7513                 | 0.7206                |
+| 4.0894     | 180    | 0.2622        | -                      | -                      | -                      | -                      | -                     |
+| 4.3128     | 190    | 0.0004        | -                      | -                      | -                      | -                      | -                     |
+| 4.5363     | 200    | 0.0392        | -                      | -                      | -                      | -                      | -                     |
+| 4.7598     | 210    | 0.3312        | -                      | -                      | -                      | -                      | -                     |
+| 4.9832     | 220    | 0.0021        | 0.7548                 | 0.7527                 | 0.7466                 | 0.7568                 | 0.7101                |
+| 5.2235     | 230    | 0.7593        | -                      | -                      | -                      | -                      | -                     |
+| 5.4469     | 240    | 0.0004        | -                      | -                      | -                      | -                      | -                     |
+| 5.6704     | 250    | 0.0003        | -                      | -                      | -                      | -                      | -                     |
+| 5.8939     | 260    | 0.0154        | -                      | -                      | -                      | -                      | -                     |
+| 5.9832     | 264    | -             | 0.7498                 | 0.7545                 | 0.7510                 | 0.7407                 | 0.7147                |
+| 6.1341     | 270    | 0.0162        | -                      | -                      | -                      | -                      | -                     |
+| 6.3575     | 280    | 0.447         | -                      | -                      | -                      | -                      | -                     |
+| 6.5810     | 290    | 0.001         | -                      | -                      | -                      | -                      | -                     |
+| 6.8045     | 300    | 0.1628        | -                      | -                      | -                      | -                      | -                     |
+| 6.9832     | 308    | -             | 0.7465                 | 0.7552                 | 0.7510                 | 0.7407                 | 0.7078                |
+
+* The bold row denotes the saved checkpoint.
+
+### Framework Versions
+- Python: 3.11.11
+- Sentence Transformers: 3.4.1
+- Transformers: 4.48.3
+- PyTorch: 2.3.1+cu121
+- Accelerate: 1.3.0
+- Datasets: 3.3.2
+- Tokenizers: 0.21.0
+
+## 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",
+}
+```
+
+#### MatryoshkaLoss
+```bibtex
+@misc{kusupati2024matryoshka,
+    title={Matryoshka Representation Learning},
+    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},
+    year={2024},
+    eprint={2205.13147},
+    archivePrefix={arXiv},
+    primaryClass={cs.LG}
+}
+```
+
+#### 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}
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

config.json

@@ -0,0 +1,74 @@
+{
+  "_name_or_path": "nomic-ai/nomic-embed-text-v2-moe",
+  "activation_function": "gelu",
+  "add_pooling_layer": false,
+  "architectures": [
+    "NomicBertModel"
+  ],
+  "attn_pdrop": 0.0,
+  "auto_map": {
+    "AutoConfig": "nomic-ai/nomic-bert-2048--configuration_hf_nomic_bert.NomicBertConfig",
+    "AutoModel": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertModel",
+    "AutoModelForMaskedLM": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForPreTraining",
+    "AutoModelForMultipleChoice": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForMultipleChoice",
+    "AutoModelForQuestionAnswering": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForQuestionAnswering",
+    "AutoModelForSequenceClassification": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForSequenceClassification",
+    "AutoModelForTokenClassification": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForTokenClassification"
+  },
+  "bos_token_id": null,
+  "causal": false,
+  "dense_seq_output": true,
+  "embd_pdrop": 0.1,
+  "eos_token_id": null,
+  "expert_choice_router": false,
+  "ffn_div": 1,
+  "fused_bias_fc": true,
+  "fused_dropout_add_ln": true,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_trained_positions": 2048,
+  "mlp_fc1_bias": true,
+  "mlp_fc2_bias": true,
+  "model_type": "nomic_bert",
+  "moe_every_n_layers": 2,
+  "moe_impl": "megablocks",
+  "moe_normalize_expert_weights": false,
+  "moe_resid_pdrop": 0.0,
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config_sentence_transformers.json

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sentence_bert_config.json

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