metadata
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.
Some potential areas to explore could be:
1. Troubleshooting common issues with ExpressVPN, such as connection
problems, slow speeds, or DNS leaks.
2. Providing step-by-step instructions on how to install and set up
ExpressVPN on different devices, such as Windows, macOS, Android, iOS, or
routers.
3. Explaining ExpressVPN's features, such as split tunneling, kill switch,
and server locations.
4. Discussing ExpressVPN's pricing plans, refund policy, and customer
support.
What would you like to know about ExpressVPN, or what type of issue would
you like to troubleshoot?
sentences:
- >+
What are the features of ExpressVPN?
ExpressVPN is known for its high-speed performance and wide range of
servers. Some of its key features include:
1. 128-bit AES encryption,
2. 256-bit encryption,
3. 128-bit Blowfish encryption,
4. 256-bit encryption,
5. AES encryption,
6. AES-256,
7. AES 256-bit encryption.
Note: The encryption methods are not as stated.
- 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.
- source_sentence: "Last updated: November 7, 2024\n\nNeed a VPN or DNS for your device?\nGet ExpressVPN Now\n\nThis 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.\n\nTo 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.\n\nExpressVPN for Android\nIn the ExpressVPN app for Android, tap Options.\nTap Other Settings > Security > Reset your recovery code.\nTap RESET RECOVERY CODE.\nEnter your primary password.\nStore your new recovery code in a safe place.\nExpressVPN Keys Chrome extension\nIn the ExpressVPN Keys Chrome extension, click Options.\nGo to Settings > Security > Reset Recovery Code.\nClick Reset Recovery Code.\nEnter your primary password.\nStore your new recovery code in a safe place.\n\nIf you have lost both your primary password and your recovery code, contact the ExpressVPN Support Team\_to reset your password manager account.\n\nBack to top\n\nWas this article helpful?\nYes 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\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?\_Contact 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?\_Contact 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?\_Contact 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"
sentences:
- Troubleshooting steps for streaming Max
- >+
I can help you with various questions and issues related to ExpressVPN.
What do you need assistance with:
- >-
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 model finetuned from 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
- 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
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
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:
pip install -U sentence-transformers
Then you can load this model and run inference.
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]
Evaluation
Metrics
Information Retrieval
- Datasets:
dim_768,dim_512,dim_256,dim_128anddim_64 - Evaluated with
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 |
Training Details
Training Dataset
json
- Dataset: json
- Size: 357 training samples
- Columns:
positiveandanchor - Approximate statistics based on the first 357 samples:
positive anchor type string string details - min: 21 tokens
- mean: 322.47 tokens
- max: 512 tokens
- min: 6 tokens
- mean: 32.25 tokens
- max: 512 tokens
- Samples:
positive anchor I'd like to discuss common issues that users face when using ExpressVPN.
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Which one of these topics would you like to discuss further, or is there something else you'd like to bring up?I'd be happy to help with any questions or concerns you have about ExpressVPN. What would you like to know or discuss?I'd like to provide information about ExpressVPN, but I think it would be more helpful to get some assistance from you.
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?I can help you with any question you have about ExpressVPN. What is it that you need help with?Last updated: January 11, 2023
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MatryoshkaLosswith these parameters:{ "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: epochper_device_train_batch_size: 2per_device_eval_batch_size: 2gradient_accumulation_steps: 4learning_rate: 2e-05num_train_epochs: 7lr_scheduler_type: cosinewarmup_ratio: 0.1bf16: Truetf32: Falseload_best_model_at_end: Trueoptim: adamw_torch_fusedbatch_sampler: no_duplicates
All Hyperparameters
Click to expand
overwrite_output_dir: Falsedo_predict: Falseeval_strategy: epochprediction_loss_only: Trueper_device_train_batch_size: 2per_device_eval_batch_size: 2per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 4eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 2e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1.0num_train_epochs: 7max_steps: -1lr_scheduler_type: cosinelr_scheduler_kwargs: {}warmup_ratio: 0.1warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Truefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Falselocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Trueignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torch_fusedoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Nonehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseinclude_for_metrics: []eval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Nonedispatch_batches: Nonesplit_batches: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falseuse_liger_kernel: Falseeval_use_gather_object: Falseaverage_tokens_across_devices: Falseprompts: Nonebatch_sampler: no_duplicatesmulti_dataset_batch_sampler: proportional
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
@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
@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
@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}
}