metadata
language:
- en
license: apache-2.0
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- generated_from_trainer
- dataset_size:45000
- loss:MatryoshkaLoss
- loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-base-en-v1.5
widget:
- source_sentence: |-
Remote sales job with CRM experience
Business development specialist job description
Commission-based sales role with flexible schedule
sentences:
- >-
Marketing Plans & Research
Insight to Inform your Strategy
Your buyer is our preoccupation. So when we work together to develop
plans for new marketing or product launches, we help you research how
your buyers discover and decide about solutions like yours. We also help
you align overall company goals such as revenue growth and customer
retention with more specific marketing objectives. This yields action
oriented, measurable, flexible plans that are aligned to results that
matter to everyone in the organization.
- Marketing / Promotion Plan Development
- Vertical Market Research
- Competitor Research
- Persona Development
Let's Make Something Great Together!Contact Us
We capture internal and external perceptions from stakeholders,
customers and prospects.
To understand the market and predicted trends, we incorporate relevant
3rd party research into the shaping of any strategy.
Analysis and insight
We provide highly relevant, easy to implement knowledge to help further
important marketing decisions.
- >-
Handpicked Sales and Hot New Products for Busy Women
Building your Summer Wardrobe with the Basics
Posts contain affiliate links where I earn a small amount commission on
purchases through links.
This post is sponsored by JCPenney but all thoughts are my own!
Summer is here and that means it is time for a little wardrobe refresh!
One thing I am doing this year is buying basic pieces that I can mix,
match and style with others. I teamed up with JCPenney for this post to
show you that JCPenney is a one stop destination for affordable fashion
and home items.
- >-
Hello, Business Developers!
My name is Nate Ginsburg and I am a serial entrepreneur. I’m the founder
of Premier Media, host of the Ecom Exits Podcast, and partner in a
handful of other online businesses.
About the role:
As a Business Development Specialist, with a strong background in sales,
you will be responsible for identifying, pursuing, and nurturing
business opportunities, fostering strong client relationships, and
expanding our client base. This role plays a crucial part in achieving
our business objectives by driving revenue growth and ensuring we meet
our client’s talent acquisition needs.
This is a Remote Part-Time or Full-Time (commission-based) position.
- Bachelor’s degree in business, marketing, or a related field
(preferred).
- Previous experience in a recruitment agency or the human resources
industry, with a demonstrated track record of successful sales and
client acquisition.
- Should be able to work independently, from acquiring clients to
managing relationships with them, ensuring their requirements are met by
the back-end team.
- Should be able to generate leads independently and attend client
meetings.
- Excellent communication and interpersonal skills.
- Strong negotiation and persuasion abilities.
- Self-motivated and results-oriented with a high degree of initiative.
- Ability to work independently and as part of a collaborative team.
- Proficiency in using CRM software and other relevant sales and
marketing tools.
- Identify and engage with potential clients to understand their
staffing and recruitment requirements.
- Develop and maintain a comprehensive understanding of the industries
and sectors in which the agency operates.
- Build and maintain a robust sales pipeline to meet and exceed monthly,
quarterly, and annual revenue targets.
- Collaborate with our recruitment team to customize solutions that
align with client needs and deliver value-added services.
- Prepare and deliver compelling sales presentations to prospective
clients.
- Negotiate and finalize client agreements, contracts, and service-level
agreements.
- Stay up-to-date on industry trends, market dynamics, and competitive
landscape.
- Provide regular reports and updates to the management team on business
development progress and client acquisition efforts.
- Work with an existing talented team
- Completely remote and flexible schedule
- Location independence
- You’ll be joining a high-level and fast-paced team, working with
exciting projects
Please note that you’ll be joining a fast-paced and high-achieving team.
You’ll be held to high expectations and challenged. And you’ll also be
supported in your growth in this role professionally as well as
personally.
If this sounds interesting to you, please proceed with the application.
- source_sentence: |-
Dock-it Springfield OH contact information
Dock-it business services Springfield Ohio
Anthony Young Dock-it phone number
sentences:
- >-
VMware testing servers-by-the-minute cloud
vCloud Air joins the come-and-get-it cloud caper
Journalists who cover cloud have a recurring nightmare: leaving the “l”
out of “public cloud” and copping a caning in the comments for their
somewhat Freudian slip.
But one vendor that operates a cloud that isn't entirely public is
VMware: Virtzilla's vCloud Air has hitherto been sold as a by-the-month
affair.
The company has, however, signalled it's keen to get into the “hand me
your credit card and run up virtual machines for an hour” caper, and has
now announced that it's testing just such a service. You – yes even YOU
– can apply to be a test pilot by signing up here.
VMware's calling this vCloud air service “self-provision on-demand” for
now, and promises access with “nothing more than a browser and a credit
card.” Usage will be metered by the minute and billed monthly in
arrears.
The company's talking up the usual vision of vSphere and vCenter
everywhere, for a One Control Freak To Rule Them All rig that behaves
the same whether servers are under your desk or on VMware's
largely-rented bit barns.
The announcement of the test pilot program is noteworthy because
VMware's talking up the chance to access “a virtually unlimited pool of
resources.”
That's a bold statement because compared to the likes of AWS, Google and
Microsoft, VMware doesn't have enormous amounts of money to spend on bit
barns. With even the likes of Rackspace walking away from
come-and-get-it public cloud, VMware heading in that direction bespeaks
either cunning ways of scaling or a big reservoir of bucks to throw at
the market. ®
- >-
Click-Through Rate (CTR) is a simple metric that shows that rate at
which an ad impression receives a click. It’s a core measurement in
Search Engine Marketing and yet, slightly misunderstood on the surface.
Let’s look at this major ad performance metric.
What is Click-Through Rate?
Whenever and however you generate traffic to your app or website — be it
through any channel (social, organic, referral, paid, display, email) —
your links, banners, or ads will have impressions (views) and clicks.
Impressions are the number of times a link or ad was seen, or rather
available on the screen to be seen. Clicks are, well, people who clicked
the link or ad. Click-Through Rate is the percentage of people who saw
the impression and clicked it.
A little fictional case study to better understand CTR
To better understand CTR, let’s look at an example of a ‘Search Network’
campaign in Google Adwords. Since I live in wine country, we’ll be using
my, fictional, Milani Winery. First, a little context on how Google
Adwords works.
In general, ‘search network’ campaigns through Adwords charge on a
cost-per-click (aka. pay-per-click) model. Essentially, you’re showing
ads at the top of Google search results pages for targeted keyword
searches. You determine how to show your impressions based on factors
like geotarget, keyword selection and keyword match type. The larger the
geotarget and the broader the keyword, the larger the pool and likely
the lower the Click-Through Rate. The tighter the geotarget and more
specific the keyword (think niche), the more targeted and smaller the
pool and thus a likely higher CTR.
Branding campaigns usually generate a lot of impressions to a wide
audience, so expect a lower CTR. A Call-to-Action campaign will be more
targeted and you’ll want to hit a higher CTR.
Adwords & CTR: Winery Example
(while I am related to the Sebastiani’s and Mondavi’s, my winery is
fictional…for now)
Milani Winery, runs an Adwords campaign to drive visits to their tasting
room in Northern California. They run three ad groups in a campaign
targeting California. The first ad group is titled “wine,” and the
keywords are ‘broad’ matched to the term “wine”. The second ad group is
titled “winery,” and targets keywords using broad match modifiers,
phrases, and exact match keywords. Finally, the third ad group in this
campaign is titled “tasting room,” and keywords are phrase match and
exact match only. Which do you think will have the highest Click-Through
Rate?
Keywords for Ad Group 1: “Wine”
Keywords for Ad Group 2: “Winery”
Keywords for Ad Group 3: “Tasting Room”
[tasting room near me]
[near me tasting room]
+best +tasting +room
+tasting +room +visit
+tasting +room location
Ad group 1: “Wine” is just too broad and would generate the lowest
Click-Through Rate (probably around a 0.1%-0.7%). It would return
results for things like “Red Red Wine” or “How to remove wine stains” —
both of which aren’t relevant. Google would likely decrease your Quality
Score, because of the broadness of the term, and your ads probably would
show much of the time.
Ad Group 2: “Winery” is getting closer. Winery is a good search term for
increasing traffic to a tasting room, but it’s not a bulls-eye match to
your target audience. Your CTR is likely to be higher here, but not that
much more significant. I’d probably estimate a Click-Through Rate of
around 1%-2.5%. Advertising for this keyword could be seen more as a
brand awareness campaign.
Ad group 3: “Tasting Room” is just about right! People searching for
tasting rooms are likely going to see your ad and find it relevant,
especially if your ad is enticing or delivering an offer. At this level
of targeting expect to see upwards of 5-6% and up to maybe 8% in CTR.
The volume might be smaller but the relevancy and quality is high!
Anything higher than 10% and you are targeted your audience at level of
CTR that is usually found when targeting your brand keyword terms, like
“Milani Winery.” Great Merlot btw!
* Note, CTR can vary quite a bit depending on bid, landing page quality,
and ad copy. So, my estimates above assume you have great quality in
those three categories.
The Click-Through Rate Deception
We’ve now seen an example of CTR in action — targeting broad and
delivering low CTR, versus tactical targeting generating high CTR. Now
we need to talk about when the number can lie and why it’s important
pair CTR with a quality metric.
I was once handed an account to optimize that had been running for over
a year. The previous company had been delivering a very low
Cost-Per-Click and a high Click-Through Rate. Sounds great on the
surface, but as I dove into the data I found that they had delivered 98%
of the previous years’ clicks and budget on a single broad match term
that was included in their brand. The keyword was also synonymous with
the name of a county. To top it off, they were not even measuring the
quality of visits. Over that previous year, they likely blew $60,000 on
irrelevant CTR — even though they had great “ad performance” numbers.
Don’t always believe great ad performance metrics without measuring
quality, or viewing actual search terms.
A performance without quality metrics is the really the pitfall of
Adwords in general. You must have some quality metrics in there that you
are tracking. Google Analytics by default will import Bounce Rate, Ave.
Session Duration, Pages Per Session, and % of New Sessions. You should
also import your goals from GA to best optimize your keyword CTA’s. If
for some reason, you can’t access Google Analytics and quality metrics,
then you can still get an idea of the quality by looking at the actual
search term data report on the keyword tab of Adwords. That will at
least tell you if you are hitting a close target.
Don’t want to manage Adwords yourself? Contact me
- >-
Dock-it is a Business Services (Unclassified) business in Springfield,
OH.
Dock-it classified under Business Services (Unclassified), with
principal employer Anthony Young Full Name Report is located in 1938
Broadway, Springfield, Ohio OH 45504. For sales, support, account
inquiries, and how to be an affiliate, the best way to get in touch is
through numbers: (937) 340-1110 Full Phone Report.
It has been operating since , boasting total quality assurance, and an
annual revenue of Unknown. Their Single Location can be reached with the
use of the following coordinates: 39.93067,-83.84218. They currently
have 1 to 4 employees, and you can learn more about their offerings at .
You can also view their clients’ testimonials, government compliance and
annual reports through their website. Dock-it aims to strengthen their
B2B relationships through advertisements and brand promotion.
Registered codes from Standard Industrial Classification is , and from
North American Industrial Classification System. Customer feedback is
highly appreciated; be sure to leave your comments on their website
through survey forms. These are necessary for company service
improvements.
|Categorized In:||Business Services (Unclassified)|
|Address:||1938 Broadway, Springfield, OH 45504|
|Phone Number:||(937) 340-1110 Full Phone Report|
|Contact Person:||Anthony Young Full Name Report|
|Business Type:||B2B (Business to Business)|
|Employee #:||1 to 4|
|Location Type:||Single Location|
|Annual Revenue ($):||Unknown|
|Share This Business:|
- source_sentence: |-
Is Stylelili.com a scam?
Why is Stylelili.com suspicious?
Is Stylelili.com a legitimate online shopping platform?
sentences:
- >-
By reviewing journal entries, it has been noticed that the base currency
has a mismatch with the foreign rate, appearing to be incorrectly
calculated.
Example:Account Currency balance in USD is $1,115,354.018 and showing as
CAD $1,085,098.1719; but it should be $1,429,941.04871 CAD at a current
system exchange rate of 1 CAD = 0.78 USD. Most of the exchange rates in
the sample are between 0.70 and 1. There are no transactions with an
exchange rate greater than 1. So how is it showing a balance greater
than Base currency if there are no transactions with an exchange rate
greater than 1?
As the calculation is done in a running balance and the transaction for
the debit that have 1 as transaction rate have more occurrences compared
to credit one, it caused the balance to be accumulated throughout the
year.
See in this given example:
Everest kept record for the transaction for each currency, base and
foreign, and for each of these their own running balance where in the
case for this account, the carried over amount have accumulated, causing
the odd increase in the difference.
In example given the ending balance are 50 for base currency while in
the foreign currency it is 80, even though the last entry have 0.70 as
exchange rate, the running balance rate was 1.60 in actual.
By default, Everest keep track of the separate amount for each of
currency, one for base currency and the other one is foreign currency
these caused an increase in the difference.
In order to reset this behavior, a suggestion is to clear out the
balance by creating two journal that uses one journal entry out from
account and one journal in entry, as an example please find the
screenshots below that show switched rate with base currency of USD to
CAD as foreign currency, with the current balance for the CAD account is
CAD 70.00.
Credit: Raditya Perdevi
- >-
In the current landscape of abundant online shopping options, consumers
have a plethora of choices. However, these numerous options also come
with a hidden peril: the presence of scammers posing as genuine
businesses. Consequently, when evaluating a website’s legitimacy, a tool
like Gurustab becomes essential. This leads us to the question of
whether Stylelili.com is a reputable entity or a fraudulent operation.
Stylelili.com operates as an e-commerce platform, offering a range of
products from sweaters to hoodies and shirts. Yet, with its prominence
as one of the most frequently searched websites on Gurustab, a
comprehensive assessment was imperative. We regularly share our list of
the most searched sites on Twitter, providing tips on avoiding scams.
Dubious Registration Date on Stylelili.com
It’s a common tactic employed by unscrupulous websites to exaggerate
their establishment date.
Why? Because consumers are more inclined to trust older online shops
over newer ones. Consequently, when we encountered their claim on the
“About Us” page indicating a founding year of 2016, it raised suspicion.
However, upon cross-referencing with Gurustab and Whois.com, we were
startled to discover that the website was registered as recently as July
2023. This inconsistency casts a shadow of doubt on the legitimacy of
Stylelili.com.
Significant Discounts and Remarkably Low Prices
One of the most alluring aspects of online shopping is the opportunity
to find products at prices lower than those in physical stores.
However, scammers are well aware of this consumer behavior and exploit
it to their advantage. Stylelili.com entices shoppers with seemingly
irresistible deals and discounts, promising unbelievable bargains. For
instance, a majority of their products boast discounts exceeding 80%, an
anomaly in the industry.
While these bargains may appear enticing at first glance, it’s
imperative to exercise caution when prices seem too good to be true.
Online scammers often employ this tactic by presenting products at
unbelievably low prices to attract potential victims. Such rock-bottom
prices frequently serve as a telltale sign, indicating potentially
deceitful intentions. Legitimate businesses strive for sustainable
profit margins, making excessively low prices a cause for concern.
Faux Social Media Buttons
Reputable and genuine online businesses actively maintain a presence on
social media platforms to connect with their customers, showcase their
products, and promote transparency. Stylelili.com, however, raises
suspicions by displaying social media buttons that, upon closer
examination, prove to be mere facades. Clicking on these buttons
redirects users to the main pages of social media platforms but lacks
any actual content or engagement from the website. This tactic is
commonly employed to create the illusion of legitimacy and a vibrant
online presence.
Negative Reviews on Trustpilot: A Reason for Alarm
A brief visit to Trustpilot, a widely-used review platform, reveals a
concerning pattern regarding Stylelili.com. Numerous customers have
voiced skepticism and dissatisfaction with their shopping experiences on
the site, with some even questioning the website’s authenticity.
Final Verdict: Is Stylelili.com Legit or a Scam?
In sum, the presence of multiple conspicuous warning signs cannot be
overlooked. From the remarkably low prices and substantial discounts to
the misleading registration date, there are ample reasons for concern
when it comes to Stylelili.com. The inclusion of faux social media
buttons and the presence of negative customer reviews further strengthen
the case against its legitimacy.
Consumers should exercise utmost caution when considering shopping at
Stylelili.com, as there are undoubtedly more reliable online fashion
retailers available.
- >-
Are you looking for Spotify Premium Apk Download link? Great! Here
you’ll get the download link of Spotify Premium Music Apk file here.
Spotify is the very popular music application for Android where you can
listen to all songs and music for free.
If you don’t know how to install Spotify Premium App on Android for free
then please follow this guide on and read how to install it on Android.
Here you’ll get step by step guide along with screenshots. Click on the
link below to download latest apk file of premium version-
Spotify Premium Apk: Overview
Spotify is the very popular song listening service. On this application,
you can listen to all latest and older songs for free. Here you can
download all songs and music on your phone. You can download Spotify
Premium Apk from above link.
Features of Spotify Apk:
- Download & Listen to all English and Hindi songs for free.
- Free to download on Android phones.
- All latest and older music.
- Available in miltiple languages.
- source_sentence: |-
What are the skills required for an iPhone app developer?
What services does Techlopes offer for iPhone app development?
How can I hire an iPhone app developer?
sentences:
- >-
There have been many comments to the same, some logical, some not. I
thought i would throw this question out to the readers of this blog and
see what your views are on the same. I think only advance payment
receive shippers only refuse to accept o. I want suggest to you explain
about this issue which one should bear the cost that charge by the bank
fee.
For me, this issue is pretty much clear! Why so? An order to get a
shipment on board comes to carrier from the consignor, not from the
shipper. The consignor chooses the carrier and is responsible to pay
haulage for his services. Actually, the shipper has no relations to the
carrier. Ones the shipper is responsible for, is to get the shipment
loaded on board.
So he overtakes THC charges. I want to buy golf equipment from a seller
in USA for my business in my country.Delta planer for sale
All comments are export view oriented. What about the impoter? Hi
Javier, one persons import is the other persons export.
The bill of lading fee is a fee charged by the shipping line for the
processing of the bill of lading on behalf of the client. The question
is whether this charge should be paid by the shipper who is responsible
for the cargo to be delivery FOB or since this charge is incurred after
the cargo is loaded on board, then should it become the liability of the
consignee.??
Hi RK, Trust the handling fees will be forwarders fee which is part of
export clearance. Hi, Any charges raised prior to the cargo being loaded
and stowed on board the vessel are for the shipper under FOB. Whats this
handling charges? We should give that?
Kindly advise. Hi RK, this would most probably be the Forwarders charges
for handling the shipment. The Terminal Handling and Bill Charges are
the actual port and line charges and the Agents Handling would be the
fee for the Forwarder. Thus once cargo is stowed and secured, a bill of
lading can be issued by the vessel. The bill of lading is a contract
between the shipper and the vessel to move the cargo safely to the
agreed place of delivery.Web tracking helps you and the recipient to
keep track of the delivery progress.
You contact their customer support in the event you face any issues.
Even though it is time-guaranteed, premium service is quite economical
for courier and shipment.
Services in the business of logistics have the top growing demand in the
distribution market. At exactly the same time, in addition, it ventured
into Cold Chain Logistics. They give technical expertise linked to
government agencies to guarantee a quick, efficient, and compliant
import or export of goods to a selection of countries.
Using our service is easy and simple to use.
It might differ based on what sort of service your are Using. Our
customer service provides an assortment of consumer care and client
support alternatives to assist you in every possible method. In
addition, we support, develop and operate third-party logistics service
which employs the most recent technologies to fulfill every need of our
clients.2020 09 1en ielts general writing task 2 samples band 9 pdf
Shipping to certain nations or regions of the world involves increased
risk. When placed correctly, you will secure the utmost impact. This
will permit you to track the development of your consignment
effortlessly via our site.With our global network, we can provide you
with streamlined freight forwarding to book your cargo, arrange for
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With decades of experience, we facilitate the entire forwarding process
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with ease, visibility and global reach.
Choose from our flexible Sea Freight services based on your timing,
cargo size and equipment needs. Faster transit times, normally means air
freight however it can be very expensive.Where is the ac fuse on a 2009
outback full version
Your company will benefit from our excellent capacity with top tier
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Weight Calculation.The original program was written in Visual Basic, and
only the windows executable file was distributed, thus, it is not
possible to enhance or port it to other platforms.
I started this project after I discovered how easy was to understand the
serial protocol used between the Parameter Designer and the e-bike
controller. Besides, I had a dream to be able to change e-bike settings
anytime, anywhere. You may note several differences between the way how
XPD presents the controller parameters, and the way how Parameter
Designer used to do it.
I'll list here the most important differences, with detailed
explanations. A: Of course, nobody should expect the controller will
control these values up to the displayed precision. However, controller
uses different units internally for most values, and if you translate
successive internal-units values to SI system using integer values, you
might get the same number for different amounts in internal controller
units.Youtube oembed cors
Thus I have decided to display the values with 0. A: As said above,
controller uses different units for most parameters, and they are
integer numbers in the range For example, controller value 90 maps to
When these numbers are rounded to nearest integer, A: As I said before,
the controller uses its internal scale for measuring volts and amperes.
This scale depends on the values of some components on the board, and
for some controllers the internal range would really map to this
extremely large real-world scale. This does not really mean that EB will
handle phase currents up to amperes wow in the real world, you still
have to make sure the actual power MOSFETs can deal properly with the
selected currents. Help Create Join Login. Operations Management. IT
Management. Project Management. Services Business VoIP.
Resources Blog Articles Deals. Menu Help Create Join Login. Home Browse
xpd-ebike Wiki. Home What is this? Application screenshot. Android main
application screen. Editing a profile on Android. Upload profile to
controller via Bluetooth. Oh no! Some styles failed to load.
Sign Up No, Thank you.He was born in Amsterdam, Netherlands and is a
Dutch nationality. He has almost 6. On the popular complementary
channelsthe figures declared by the report increases to be somewhere
around to be with 1 million subscribers and the about a tentative amount
million views and searches of his uploaded videos. Kwebbelkop is quite
successful in his gaming venture and is the creator of a successful
YouTube channel as well. Kwebbelkop is not the name given by his
parents, but his birth name is Jordi Van Den Bussche.
He was born in the year1 st June in the city of Amsterdam, Netherlands
and possesses a Dutch nationality. He was brought up along with his
sister Lauren, but not much is known about his academic career. Perhaps
his urge of becoming a proficient gamer might not have let him pierce
more into studies and academic lessons. From his childhood days, Jordi
is into making group of friend for playing games and finally started off
with the YouTube channel in the year In the month of October, that very
year Jordi understood that YouTube would soon make him a successful
gamer and perhaps serves a potential pathway to success.
Just after passing of that very year, Jordi decided of starting off with
a new channel and finally published Call of Duty: Black Ops 2 and the
series of Minecraft. He also became famous for the several prank call
videos which were considered as his son gaming videos.
By the yearthe count of subscribers reached a count of about 10, After
such a successful subscribers count, Jordi finally decided to be a
fulltime YouTube star and a full-time gamer. Soon he was known to people
as a popular gamer who has marvelous subscribers count. Sources
clarified that his mother successfully runs a vlog under the name
Momsvlog. Meanwhile, while being a gamer, he got his graduate degree and
started off updating his YouTube channel seriously.
The three prolific gamers were involved in solving the difficult series
of Grand Theft Auto Online races. With the passage of time, due to some
inconveniences faced, Kodi was at once replaced with the famous British
YouTube star Slogoman. These were Jordi early gaming ventures, and soon
he jumped off into the life of a professional gamer.
Kwebbelkop has a prosperous gaming career ahead. He had successful
started off a gaming team, though the entire members have reshuffled.
The formation of the group has enabled Kwebbelkop to know all the traits
and techniques are to be used while playing the tuff games. The team
formed by him used to play the various races of GTA V online races.
He is very humble towards his subscriber and viewers. He addresses his
fans with the name KOPS. Along with his sister Lauren, he designs his
videos and works upon its other features. His favorite color is known to
be orange, and he tries to add the color in every possible way he can.
He is quite a good-natured guy who is also gentle in his behavior. He is
very much thankful to his fans and followers and often expresses
gratitude through the social media sites for making him counted among
the popular gamers.
Not much information is available about the rising YouTube star. Her
girlfriend plays a crucial role in making his videos have an added
glamour.Postal Code Are you the developer of this app? Claim your app to
get free and unrestricted access to your app and developer data.
Sign up. Log in. Google Play Rating history and histogram. Join us for
free to see more information about your app and learn how we can help
you promote and earn money with your app.
Bill Of Lading (船荷証券)、Sea Waybill (海上貨物運送状)について
Developed by WiseSchematics, RE Equalizer reflects the design,
performance and workflow of a powerful studio grade equalizers on the
move. Integrated with advanced features such as Shunt Audio Engine c and
Smart Interface cRE-EQ components utilize special filters which
eliminate the artifacts, noise and distortion associated with band
interaction, and provide perfect curve and stair-stepped filter
responses.
Finally, RE-EQ integrated real-time analyzer lets you compare the
difference between audio signal. RE-EQ has been primarily designed to
achieve 'broad brush' tone-shaping effects thus equipped with fine
controls to provide full freedom for sound tuning and tweaking so that
users get the mix and sound the way they want, which means spending less
time on setup and more time for tuning.
RE-EQ is also available as Demo Version for free which is intended for
Testing and Checking Purposes but may contain limited features and
functionality. Note: For better compatibility and integration with the
device, please make sure that no other equalizers or random effects are
running in background. If you are facing such issues, please follow the
below guideline. Such libraries can cause interference issues and may
cancel or block effect from each other.
We haven't collected library information for this app yet. You can use
the AppBrain Ad Detector app to detect libraries in apps installed on
your device. Equalizer music player booster. Eqfy Equalizer. Want more
apps? Find the Android apps that are trending right now. You have
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- source_sentence: |-
What is article marketing and how does it work?
How can I use article marketing to increase traffic to my website?
What are some effective strategies for an article marketing campaign?
sentences:
- >-
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Sporting a pleasing roll arm for classic flair, the Alandari loveseat in
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Frame constructions have been rigorously tested to simulate the home and
transportation environments for improved durability. Frame components
are secured with combinations of glue, blocks, interlocking panels and
staples. Seats and back spring rails are cut from mixed hardwood and
engineered lumber. Stripes and patterns are match cut. All fabrics are
pre-approved for wearability and durability against AHFA standards.
Cushions are constructed of low melt fiber wrapped over high quality
foam. Constructed with a platform seat foundation.
- >-
Advertising An Article Marketing
As every website owner knows, content is essential to raising your
rankings in the search engines. There's another way to use content to
bring even more visitors to your site. It's called article marketing.
You can use one article in dozens of venues, to multiply your exposure
exponentially. More traffic means more sales. Let's look at some
strategies you can use in your article marketing campaign.Let's say you
sell seeds, gardening supplies and gardening books on your site. You're
facing stiff competition, as there are many websites marketing these
products.
How do you get your share of attention? The answer is simple: exposure,
as much as you can generate! Article marketing is a natural for this
purpose. Write one article, and use it to advertise your site, over and
over again.
You know your products and their uses best. Write an article on how to
start seeds. Give detailed and useful information such as equipment
required, temperature and seasonal concerns, thinning and transplanting.
There are many topics you can write about.
Write an article telling your reader how to choose a good pair of garden
gloves, and the advantages of a leather glove for one task, or a sturdy
cotton glove for light work.
Or, tell your reader how a quality bulb planter makes short work of a
big planting project. I'm sure you get the idea. Do not write an
advertisement!
When your articles are prepared, your related subjectsarticle marketing
campaign is ready to launch. Do a search using the term ”article
directories gardening”. You'll get hundreds or even thousands of
results. Visit some of these article directories and browse their
gardening category. Take a look at the quality of their articles.
Unfortunately, there are many article directories with poorly written
articles, so be choosy when selecting those you want to be associated
with, as quality-conscious directories get the most readers.
Here's how it works: you submit your article to the directory. You are
not paid money, but are rewarded with a byline and a link to your site.
Every person who reads your article has the opportunity to click through
to your site. Give your reader useful information in an engaging style,
and chances are good they'll come to your site to see what else they can
learn. You can submit the same article to other directories, and watch
your traffic and sales grow.
Your article marketing strategy should include contacts with other
website owners, especially those with an e-newsletter. Offer your
article as newsletter content in exchange for a byline. See if you can
negotiate reciprocal links. Of course you don't want to contact direct
competition. A florist, greenhouse or organic gardening site might be
good choices.
Your article marketing campaign's success is directly related to the
amount of exposure you create through your effort. One indirect result
of a good article marketing campaign is establishing yourself as an
expert in your business. Success is measured by traffic and sales. Be
prolific and diligent!
About the Author: InsightsOnMarketing provides readers with the latest
reviews, articles, commentaries and write-ups on all article marketing,
article directories, article reader related subjects
- >-
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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: hi-di-hi-base
results:
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 768
type: dim_768
metrics:
- type: cosine_accuracy@1
value: 0.8376
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.9022
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.9204
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.9438
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.8376
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.3007333333333333
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.18407999999999997
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.09437999999999998
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.8376
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.9022
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.9204
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.9438
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.8910666642970089
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.87418634920635
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.8762185281448824
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 512
type: dim_512
metrics:
- type: cosine_accuracy@1
value: 0.837
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.8996
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.9208
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.9436
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.837
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.29986666666666667
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.18415999999999996
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.09435999999999999
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.837
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.8996
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.9208
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.9436
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.8900999328860697
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.8729962698412704
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.8749614549818263
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 256
type: dim_256
metrics:
- type: cosine_accuracy@1
value: 0.8256
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.8938
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.9166
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.9402
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.8256
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.29793333333333333
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.18331999999999998
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.09401999999999999
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.8256
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.8938
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.9166
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.9402
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.8827878243788164
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.8643884126984136
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.8663736602503759
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 128
type: dim_128
metrics:
- type: cosine_accuracy@1
value: 0.814
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.879
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.9082
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.9344
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.814
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.293
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.18164
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.09343999999999998
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.814
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.879
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.9082
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.9344
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.8727948445198305
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.8531903174603174
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.8553014228992841
name: Cosine Map@100
- task:
type: information-retrieval
name: Information Retrieval
dataset:
name: dim 64
type: dim_64
metrics:
- type: cosine_accuracy@1
value: 0.768
name: Cosine Accuracy@1
- type: cosine_accuracy@3
value: 0.8472
name: Cosine Accuracy@3
- type: cosine_accuracy@5
value: 0.879
name: Cosine Accuracy@5
- type: cosine_accuracy@10
value: 0.9108
name: Cosine Accuracy@10
- type: cosine_precision@1
value: 0.768
name: Cosine Precision@1
- type: cosine_precision@3
value: 0.2824
name: Cosine Precision@3
- type: cosine_precision@5
value: 0.17579999999999998
name: Cosine Precision@5
- type: cosine_precision@10
value: 0.09108
name: Cosine Precision@10
- type: cosine_recall@1
value: 0.768
name: Cosine Recall@1
- type: cosine_recall@3
value: 0.8472
name: Cosine Recall@3
- type: cosine_recall@5
value: 0.879
name: Cosine Recall@5
- type: cosine_recall@10
value: 0.9108
name: Cosine Recall@10
- type: cosine_ndcg@10
value: 0.8382263417002942
name: Cosine Ndcg@10
- type: cosine_mrr@10
value: 0.8151035714285721
name: Cosine Mrr@10
- type: cosine_map@100
value: 0.8181338550128306
name: Cosine Map@100
hi-di-hi-base
This is a sentence-transformers model finetuned from BAAI/bge-base-en-v1.5 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: BAAI/bge-base-en-v1.5
- 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': True}) with Transformer model: BertModel
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
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("carsondial/slinger20241231-1")
# Run inference
sentences = [
'What is article marketing and how does it work?\nHow can I use article marketing to increase traffic to my website?\nWhat are some effective strategies for an article marketing campaign?',
"Advertising An Article Marketing\nAs every website owner knows, content is essential to raising your rankings in the search engines. There's another way to use content to bring even more visitors to your site. It's called article marketing. You can use one article in dozens of venues, to multiply your exposure exponentially. More traffic means more sales. Let's look at some strategies you can use in your article marketing campaign.Let's say you sell seeds, gardening supplies and gardening books on your site. You're facing stiff competition, as there are many websites marketing these products.\nHow do you get your share of attention? The answer is simple: exposure, as much as you can generate! Article marketing is a natural for this purpose. Write one article, and use it to advertise your site, over and over again.\nYou know your products and their uses best. Write an article on how to start seeds. Give detailed and useful information such as equipment required, temperature and seasonal concerns, thinning and transplanting. There are many topics you can write about.\nWrite an article telling your reader how to choose a good pair of garden gloves, and the advantages of a leather glove for one task, or a sturdy cotton glove for light work.\nOr, tell your reader how a quality bulb planter makes short work of a big planting project. I'm sure you get the idea. Do not write an advertisement!\nWhen your articles are prepared, your related subjectsarticle marketing campaign is ready to launch. Do a search using the term ”article directories gardening”. You'll get hundreds or even thousands of results. Visit some of these article directories and browse their gardening category. Take a look at the quality of their articles. Unfortunately, there are many article directories with poorly written articles, so be choosy when selecting those you want to be associated with, as quality-conscious directories get the most readers.\nHere's how it works: you submit your article to the directory. You are not paid money, but are rewarded with a byline and a link to your site. Every person who reads your article has the opportunity to click through to your site. Give your reader useful information in an engaging style, and chances are good they'll come to your site to see what else they can learn. You can submit the same article to other directories, and watch your traffic and sales grow.\nYour article marketing strategy should include contacts with other website owners, especially those with an e-newsletter. Offer your article as newsletter content in exchange for a byline. See if you can negotiate reciprocal links. Of course you don't want to contact direct competition. A florist, greenhouse or organic gardening site might be good choices.\nYour article marketing campaign's success is directly related to the amount of exposure you create through your effort. One indirect result of a good article marketing campaign is establishing yourself as an expert in your business. Success is measured by traffic and sales. Be prolific and diligent!\nAbout the Author: InsightsOnMarketing provides readers with the latest reviews, articles, commentaries and write-ups on all article marketing, article directories, article reader related subjects",
'Alandari Gray Loveseat\nSporting a pleasing roll arm for classic flair, the Alandari loveseat in soft gray exudes an easy elegance sure to please. Feel-good upholstery with linen texturing is made for everyday luxury. Muted-tone toss pillows are a soothing, sophisticated complement.\nFrame constructions have been rigorously tested to simulate the home and transportation environments for improved durability. Frame components are secured with combinations of glue, blocks, interlocking panels and staples. Seats and back spring rails are cut from mixed hardwood and engineered lumber. Stripes and patterns are match cut. All fabrics are pre-approved for wearability and durability against AHFA standards. Cushions are constructed of low melt fiber wrapped over high quality foam. Constructed with a platform seat foundation.',
]
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 | 0.8376 | 0.837 | 0.8256 | 0.814 | 0.768 |
| cosine_accuracy@3 | 0.9022 | 0.8996 | 0.8938 | 0.879 | 0.8472 |
| cosine_accuracy@5 | 0.9204 | 0.9208 | 0.9166 | 0.9082 | 0.879 |
| cosine_accuracy@10 | 0.9438 | 0.9436 | 0.9402 | 0.9344 | 0.9108 |
| cosine_precision@1 | 0.8376 | 0.837 | 0.8256 | 0.814 | 0.768 |
| cosine_precision@3 | 0.3007 | 0.2999 | 0.2979 | 0.293 | 0.2824 |
| cosine_precision@5 | 0.1841 | 0.1842 | 0.1833 | 0.1816 | 0.1758 |
| cosine_precision@10 | 0.0944 | 0.0944 | 0.094 | 0.0934 | 0.0911 |
| cosine_recall@1 | 0.8376 | 0.837 | 0.8256 | 0.814 | 0.768 |
| cosine_recall@3 | 0.9022 | 0.8996 | 0.8938 | 0.879 | 0.8472 |
| cosine_recall@5 | 0.9204 | 0.9208 | 0.9166 | 0.9082 | 0.879 |
| cosine_recall@10 | 0.9438 | 0.9436 | 0.9402 | 0.9344 | 0.9108 |
| cosine_ndcg@10 | 0.8911 | 0.8901 | 0.8828 | 0.8728 | 0.8382 |
| cosine_mrr@10 | 0.8742 | 0.873 | 0.8644 | 0.8532 | 0.8151 |
| cosine_map@100 | 0.8762 | 0.875 | 0.8664 | 0.8553 | 0.8181 |
Training Details
Training Dataset
json
- Dataset: json
- Size: 45,000 training samples
- Columns:
anchorandpositive - Approximate statistics based on the first 1000 samples:
anchor positive type string string details - min: 12 tokens
- mean: 30.74 tokens
- max: 112 tokens
- min: 51 tokens
- mean: 382.61 tokens
- max: 512 tokens
- Samples:
anchor positive How to split the Join form into multiple parts
Adding HTML and text to the Join form page
Customizing the login logout messageThis tutorial will show you how to split the Join form/page into two or three parts. Whether you want a cleaner looking join form or you want to reduce the number of spam bots this should help.
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This tutorial will show you how to spruce up the login - logout message people see. If you want to add a special message or just change the standard default phrase this one might be for you. It's very simple and only takes a few moments to apply this one.
This tutorial will show you how to take advantage and optimize your site using the Page Block feature available in your Administration panel. With a little exploring and tweaking it's possible to boost your site's performance.
If your Forum RSS feed links are redirecting to your homepage when clicked on you might need to update the forum module...Failed mobile technologies of 2011
What happened to Siri
Disappointing mobile innovationsLast year we all got excited about mobile-computing products that failed to deliver
It's an awesome time to be a gadget-happy consumer electronics freak. Multi-touch user interfaces. Huge advances in miniaturization and battery life. Cloud-based storage. Mobile computing has never been better.
But sometimes, when companies announce incredible new products or technologies, and everybody proclaims that a new era has dawned, and that culture-shifting transformations are about to take place -- nothing happens.
Here are five mobile technologies from last year that were supposed to change the world, but didn't.
Apple seemed to do everything right with its voice assistant strategy.
The company acquired the leading app maker with the best technology. It spent two years perfecting and integrating the technology, and bulking up on servers to handle the number-crunching required to deliver human-like voice interaction.
Siri was then launched to huge fanfare.
Overnight, people changed how they int...What are the different types of web usage for voice over campaigns?
What are the standard types of web usage for voice over?
What are the different ways to use voice over in web campaigns?Different Types of Web Usage
Clearly, nothing has upended the voice over industry quite like the Internet. On all ends of the spectrum, from the basic sourcing of voice over talent to right on down to hyper-targeted, increasingly personalized messaging, it can feel a little “Wild West” to navigate if you’re not going directly through an agent. And one of the biggest stumblers when sourcing for voice talent? The concept of “web usage.”
Usage — a.k.a., how the finished voice over is being used — will cause the greatest fluctuation in a voice talent’s quote. As we all know, there are myriad ways any material can be used and distributed online… and not all distribution is created equally.
Below, we’ve got a handy little guide detailing all the different, standard types of web usage we tend to come across here at Blue Wave Voiceover (Heck, the way things are going, we might have to update this once more before you finish reading it).
Feel free to refer to this when putting together any kind... - Loss:
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: 32per_device_eval_batch_size: 16gradient_accumulation_steps: 16learning_rate: 2e-05num_train_epochs: 4lr_scheduler_type: cosinewarmup_ratio: 0.1bf16: Truetf32: Trueload_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: 32per_device_eval_batch_size: 16per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 16eval_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: 4max_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: Truelocal_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 |
|---|---|---|---|---|---|---|---|
| 0.1137 | 10 | 1.0843 | - | - | - | - | - |
| 0.2274 | 20 | 0.6597 | - | - | - | - | - |
| 0.3412 | 30 | 0.3466 | - | - | - | - | - |
| 0.4549 | 40 | 0.253 | - | - | - | - | - |
| 0.5686 | 50 | 0.2286 | - | - | - | - | - |
| 0.6823 | 60 | 0.2007 | - | - | - | - | - |
| 0.7960 | 70 | 0.1576 | - | - | - | - | - |
| 0.9097 | 80 | 0.1652 | - | - | - | - | - |
| 0.9893 | 87 | - | 0.8880 | 0.8861 | 0.8788 | 0.8657 | 0.8267 |
| 1.0341 | 90 | 0.1563 | - | - | - | - | - |
| 1.1478 | 100 | 0.1485 | - | - | - | - | - |
| 1.2615 | 110 | 0.108 | - | - | - | - | - |
| 1.3753 | 120 | 0.0874 | - | - | - | - | - |
| 1.4890 | 130 | 0.0851 | - | - | - | - | - |
| 1.6027 | 140 | 0.0897 | - | - | - | - | - |
| 1.7164 | 150 | 0.0803 | - | - | - | - | - |
| 1.8301 | 160 | 0.0645 | - | - | - | - | - |
| 1.9439 | 170 | 0.0806 | - | - | - | - | - |
| 1.9893 | 174 | - | 0.8906 | 0.8893 | 0.8815 | 0.8712 | 0.8351 |
| 2.0682 | 180 | 0.0812 | - | - | - | - | - |
| 2.1819 | 190 | 0.0743 | - | - | - | - | - |
| 2.2957 | 200 | 0.0531 | - | - | - | - | - |
| 2.4094 | 210 | 0.0448 | - | - | - | - | - |
| 2.5231 | 220 | 0.0465 | - | - | - | - | - |
| 2.6368 | 230 | 0.0486 | - | - | - | - | - |
| 2.7505 | 240 | 0.0509 | - | - | - | - | - |
| 2.8643 | 250 | 0.0395 | - | - | - | - | - |
| 2.9780 | 260 | 0.0521 | - | - | - | - | - |
| 2.9893 | 261 | - | 0.8912 | 0.8897 | 0.8823 | 0.8720 | 0.8375 |
| 3.1023 | 270 | 0.0551 | - | - | - | - | - |
| 3.2161 | 280 | 0.0412 | - | - | - | - | - |
| 3.3298 | 290 | 0.0373 | - | - | - | - | - |
| 3.4435 | 300 | 0.0387 | - | - | - | - | - |
| 3.5572 | 310 | 0.0438 | - | - | - | - | - |
| 3.6709 | 320 | 0.0433 | - | - | - | - | - |
| 3.7846 | 330 | 0.0368 | - | - | - | - | - |
| 3.8984 | 340 | 0.0418 | - | - | - | - | - |
| 3.9893 | 348 | - | 0.8911 | 0.8901 | 0.8828 | 0.8728 | 0.8382 |
- The bold row denotes the saved checkpoint.
Framework Versions
- Python: 3.10.12
- Sentence Transformers: 3.3.1
- Transformers: 4.47.1
- PyTorch: 2.5.1+cu121
- Accelerate: 1.2.1
- Datasets: 3.2.0
- 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}
}