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tags:
- sentence-transformers
- sparse-encoder
- sparse
- generated_from_trainer
- dataset_size:202427
- loss:SpladeMixedTopKLoss
- loss:FlopsLoss
widget:
- text: 'I work on the phone all day long. 90% of my job is cold calling and trying
to open new accounts. This book helped me understand my own numbers better so
that I know how many people I need to qualify in order to get an account open.
It also showed me how a simple question can change the whole dynamic of a phone
conversation. Last week I cold called a firm and the decision maker was not super
excited by the end of our conversation but she at least agreed to accept some
literature from me in the mail. This week I called her back to follow up after
reading the chapter on asking the right questions that will spark a response from
the prospect and get an actual conversation started. I asked her how long she
had been using her current provider and if she has ever compared against another
firm to see if she is getting the best value for her money. I found out that she
has been using her current provider since the winter and has never taken a look
at another option since switching to them. I also found out the reasons she chose
to use her current provider which gave me a very clear understanding of what I
need to do in order to earn her business. We compared services and she was very
surprised to find out that we can save her a significant amount of money and also
speed up her process as well. By the end of the conversation she was calling me
by my first name and the account should open sometime within the next two weeks.
All I can say is that this is a great book and I can''t wait to read it a second
time. Just make sure that you put his recommendations to use. Update: I''ve continued
to use the advice in this book and I can sincerely tell you that the quality of
my calls have CLEARLY increased. I would say that about 75% of the people I talk
to now I actually have meaningful conversations with. My calls went from me trying
to convince and barely letting the prospect talk to now actual conversations that
make the prospect feel like I''m calling to really help them. I used to collect
only about half of the information that I wanted from a prospect. Now, on most
of my calls I collect 100% of the information I wanted and then some. Great book.
I can''t wait until the actual accounts start opening, which I am more confident
that ever before that they will. I''ll post another update when I open my next
account.'
- text: I received the Xtrema 2 1/2 qt. saucepot as a gift recently and I love it. I
already have 3 smaller pots and a teapotle, all of which I've been using daily
for the last couple years. This bigger pot is a great addition- it's especially
useful when I'm cooking for more than 2 people. Otherwise, my 1 1/4 qt (I have
2 of those since I use them so often) or 16 oz saucepots are usually the right
size when cooking for just 1 or 2 people. One thing I like about Xtrema cookware
is that it's non-toxic and metal-free. It's ceramic so doesn't leach metals (or
anything else as far as we know!) like metal pans can. It's a relief to no longer
have a funny metallic taste in my food like I sometimes did from my stainless
steel pans. Leaching metal generally isn't healthy for anyone, but I also want
to avoid it because I'm allergic to components of stainless steel (including nickel,
which is a common allergen, especially in women). So Xtrema won't aggravate my
metal allergies. And there's not any toxic non-stick material getting into food
or producing fumes. I also like how lightweight Xtrema is, much easier for me
to lift and manage than my other pans (my other pans are Le Creuset enameled cast
iron, which I also love, but they are very different from Xtrema). You do have
to handle Xtrema a bit differently than other pans. For example, I use it on
an electric glasstop range, so I have to heat the burner on low for 20 seconds
before putting the pot on (I think that's to prevent thermal shock from the initial
intense heat when the range first starts up). You're not supposed to stack the
pots because they may break, and I don't slide the pots (any pots) on my glasstop,
and the glasstop still looks fine. Otherwise I'm not too gentle on my Xtrema,
and they seem pretty sturdy. Xtrema's easy to clean, too- if any food is stuck,
I briefly soak, then do a quick scrub in soapy water. If there's something stubborn
stuck then baking soda does the trick. I'd say Xtrema heats quickly and cooks
pretty fast, and it also retains the heat, so I use a lower heat than I would
with pans such as stainless steel. I find it can cook a bit unevenly or burn
food if the heat gets too high or you don't keep an eye on it, so it takes a bit
of practice. I use my Xtrema for doing things like sauteeing or blanching veggies,
making soup or chili. In comparison, I tend to prefer my Le Creuset for making
oatmeal or slowly braising chicken (for a slow steady even heat). Xtrema is perfectly
capable of also making great oatmeal, braised chicken, etc., but sometimes it's
a little easier for me to use my Le Creuset for that (I don't have to watch the
Le Creuset as closely, but the trade off is that LC is slower, heavier, and not
quite as easy to handle for me). Well, it's good to have some variety... Overall,
Xtrema is really good, non-toxic cookware, and I recommend it.
- text: 'There are four zoom lenses in the Olympus 4/3 line up that covers the standard
zoom range. Standard Grade (SG)Olympus Zuiko Digital ED 14-42mm f/3.5-5.6, High
Grade (HG)Olympus 14-54mm f/2.8-3.5 II, HGOlympus Zuiko 12-60mm f/2.8-4.0 Digital
ED SWD, and Super High Grade (SHG)Olympus Zuiko 14-35mm f/2.0 Digital ED SWD. There
is no doubt the SHG offering is the best Olympus has to offer in this group, but
its price tag is often prohibitive to amateurs and even serious amateurs. For
most consumers who desire the image quality without breaking the bank, the choice
is between Zuiko 14-54mm f/2.8-3.5 MK II and Zuiko 12-60mm f/2.8-4 SWD. For most
people I highly recommend Zuiko 14-54mm f/2.8-3.5 MK II and Zuiko 50-200mm f/2.8-3.5
SWD combo for the best bang for the money, and they both use 67mm filter thread
so you can share filters together. This is a major cost saving as a high quality
Circular Polarizer filter that won''t deteriorate your HG Olympus lens can cost
you and average between $80-120. Let me give you a little of my credential. I
have used all the mentioned lenses from Olympus listed above, except for the SG
14-42mm, so I am offering my advice as a real world user, rather than a specs
researcher. I have used my Olympus E-620 DSLR for two years now, so my experience
with Olympus 4/3 camera is very extensive. I would describe myself as a serious
amateur, who fine tune his LCD monitor in order to get the best enlargement prints
possible. The objective of this review is to provide some insight whether you
should invest in Zuiko 12-60mm f/2.8-4 SWD over Zuiko 14-54mm f/2.8-3.5 MK II,
which costs almost $300 more. Sharpness: Zuiko 12-60mm wins here. The major
difference would be corner performance. Under good lighting, both would perform
admirably. In poor light, Zuiko 12-60mm wins. As with most 4/3 lenses, both
lenses are sharp wide-open. There is no need to stop down two stops to get to
the first "usable" aperture, unlike competitors'' lenses. However, when you do
stop down by two stops, that''s where 4/3 sensor''s optimal range range (f/4-8),
and you will get exceptionally sharp photos. Geometric Distortion: Zuiko 12-60mm
wins hand down. Many reports shows at 12mm, Zuiko 12-60mm has a weird "mustache
shape" distortion, which is true. However, unless you shoot for absolute straight
line, and stand at a very close distance to your subject, this is largely ignorable. For
architecture photos where straight lines are crucial, I recommend using software
provided by Olympus (Olympus Viewer or Olympus Master) to process your RAW images,
as there is a very easy option to automatically correct geometric distortion using
built-in lens data (click on RAW button on Olympus Viewer tool bar, then select
Gear tab -> Distortion Correction -> Auto -> Apply). Geometric distortion is
not a problem for both lenses after 18mm (around 36mm in FF term). Vignette:
Zuiko 12-60mm also wins here. Vignette is visible at 14mm for Zuiko 14-54mm MK
II. Zuiko 12-60mm for most part, does not have noticeable vignette, but they
do exist upon close inspection. Be sure to use filter with thinner mount, as
that can decrease the chance of vignetting. If vignette performance is absolutely
crucial for you, I recommend SHG 14-35mm SWD, if you''re willing to pay for its
premium price tag (though it is still a bargain compared with the competitors''
offerings at same performance level). Chromatic Aberration: "The purple fringe"
is usually a problem with wide angle lenses. Zuiko 12-60mm SWD performs admirably
here even at 12mm. I rarely see any CA in my photos, and when they do exist,
the line is very clean. Same for Zuiko 14-54mm MK II. Since both lenses'' CA
are very clean and not bleeding type, the purple fringe can be easily removed
with software such asAdobe Photoshop Lightroom 3(Select Lens Correction -> Defringe)
without using very complicated procedure. Color/Contrast: Again, Zuiko 12-60mm
SWD wins here. For best contrast, color and saturation, I recommend using Olympus
Viewer (or Olympus Master) for developing your own RAW photos to retain the eye-pleasing
Olympus color. Color/contrast level is highly subjective to each person''s taste,
so please judge it accordingly to your own preference. Exposure and lighting
condition will also affect color saturation and contrast quite a bit, so keep
that in mind. 4/3 sensor is smaller than full frame sensor, so it prefers a little
brighter lighting than usual and ALWAYS use a lens hood, even when you''re indoor,
for best color/contrast out of your photos (lens hood is used to cut down stray
light, which will affect color and contrast, as well as sharpness, most apparent
when you use smaller apertures such as f/11-f/22). Bokeh Quality: For people
who like to shoot close up photos with shallow Depth of Field (DoF), bokeh (out
of focus area) quality is just as important as in-focus area. Generally speaking,
you want to have smooth bokeh pattern so it does NOT take attention away from
focus area. Bokeh quality for both lenses being compared, are exceptional in
their understated manner. The circular 7-blade aperture diaphragm design will
give you those perfect round light spheres in the background, instead of geometric
or even..., the highly undesirable cat-eye shape light spheres that are usually
found in with large aperture lenses (bokeh quality is often sacrificed in large
aperture lenses because they''re more difficult to design). Both lenses are exceptionally
good bokeh performers. Size: This is where Zuiko 14-54mm MK II wins. According
to official data, Zuiko 12-60mm SWD is 135g (4.8 oz) heavier. While it is only
0.4" (10mm) longer, 12-60mm SWD lens barrel extends much longer when you zoom
in. Keep in mind 12-60mm also is thicker and uses a 72mm filter rather than 67mm
filter. If portability is your greatest concern, I recommend using Zuiko 14-54mm
MK II, as not only it''s lighter and smaller, you also only need to carry one
set of filters if you also carry Zuiko 50-200mm SWD, as both lenses share the
same 67mm filter thread. Both have very reassuring heft in hand, though I believe
14-54mm MK II matches better with smaller cameras while Zuiko 12-60mm SWD matches
better with E-30 and E-5 DSLRs. I use my Zuiko 12-60mm SWD with E-620, while
it is a little heavier, but it is still doable. You should always hold your camera
by the barrel, rather than holding it by the grip (use grip as support, rather
than holding the entire camera with it). Build Quality: Olympus 4/3 lenses HG
and up are built like tanks, no exception here. As with all other HG and up lenses,
they''re both weather sealed and both have focus meters on the barrels. Both
lenses'' mounts are made of metal (not cheap plastic), and so is the barrel construction. The
outer shells of the lenses are covered with fibre glass reinforced plastic, the
same material used in Olympus DSLRs for high quality feel as well as consistency
of cosmetics. There is no <PERSON> feel with your Olympus 4/3 set up, no matter
which lens you choose. Both lenses (as well as Zuiko 14-35mm SWD) are made in
Japan. I have never had an Olympus product failed on me in the two years I have
used my DSLR and lenses. Overall Image Quality (IQ): This is subjective. If
you are a casual shooter who values IQ, then I would say start with Zuiko 14-54mm
MK II and see if it would satisfy your needs. If you mostly post photos on Flickr,
down sample your photos to 3MP, I also recommend using Zuiko 14-54mm MK II, as
the incremental IQ will not be noticed. If you are a pixel peeper who scrutinizes
every detail of the photos, and can tell the IQ deterioration caused by using
a cheap filter, then Zuiko 12-60mm SWD is your lens (and possibly you may even
consider the SHG Zuiko 14-35mm SWD). AF Speed: If you use LiveView (LCD screen)
for composition most of the time, which uses CDAF (contrast detect auto focus),
the cheaper Zuiko 14-54mm MK II actually can AF faster. While SWD (Sonic Wave
Drive) is an AF technology, similar to Canon''s Ultrasonic Wave drive, what it
also brings is mechanical coupled manual focus helicord. What this means when
you want full time manual focus over ride (you can manual focus even when you''re
on AF mode, and can do pre-focus using focus meter on lens barrel, without turn
on the camera first, useful if you''re a professional who prefer Zone Focusing
for fast moving subjects), you want to use a SWD lens, such as Zuiko 12-60mm SWD. SWD
enabled focus ring is stiffer to turn due to their mechanical nature, which provides
some feedback to your focus experience. The focus ring does NOT stop at each
end of focus range, but you will feel them as they become tighter to turn. For
fastest focus experience, I recommend you read your Olympus DSLR''s manual and
see how you can switch the AFL button for focus lock (rather than half-press the
shutter button for the job), and pre-select AF point (the dots button) before
you focus. This will increase your AF speed significantly by closing down the
range the camera needs to focus on. 12-60mm SWD''s AF is generally very fast
and most importantly, accurate. Value: Let''s put it this way. Zuiko 14-54mm
MK II is for people who want to spend least amount of money and get the best IQ,
whereas Zuiko 12-60mm SWD is for people who want the best IQ without spending
too much. The value depends on your priority: budget over IQ or IQ over budget. I
hope this review is helpful to you. :-)'
- text: 'Greetings, this is my review for "Vivaldi: The Four Seasons" by Gil Shaham
and Orpheus. When I first got this CD, I listened to it on an Emerson stereo product.
It sounded just fine...brilliant and lively, like Vivaldi should sound. Then I
looked it up on Amazon to read the reviews...and about died laughing. Oh, boy.
Sniffing?...you gotta be kidding. Okay, so I listened to it again, and still didn''t
notice any sniffing. So then I put it in the disc drive of my computer, plugged
in my headphones, and turned it up as loud as I could stand it to be. You would
need hearing like the Bionic Man to notice that the guy playing the violin is
yes, indeedy breathing through his nose whilest he''s playing. I could only hear
it in the quietest passages, with the volume turned all the way up. Yes, possibly
this was due to the microphone being placed a little too close to the violinist,
but it doesn''t ruin the recording. It''s still very listenable and enjoyable. While
we''re on the subject, here''s a short list of people you can hear breathing on
their recordings...Patsy Cline, bless her, when she inhales between lyrics of
a song, she is absolutely right there in the room with you. Rosemary Clooney,
in order to faciliate her incredible phrasing and singing talent, also was known
to take a noticably deep breath before a loud note or an especially high one.
Wayne Newton, in his classic soprano incarnation, often took a sharp whistling
breath between lines of his songs, this was due to his childhood asthma but it
sure didn''t limit his volume or his pitch. Then there''s Donovan Leitch who breathes
and sighs all over the place...it adds to the atmospheric effect of his vocal
style. I''m sure that poor Gil Shaham didn''t sniff on purpose, but it''s probably
very hard to breathe with one''s mouth open while they''ve got a violin shoved
under their chin. Thank you for your consideration in this matter, and direct
all comments to <EMAIL_ADDRESS><PERSON> and <PERSON>. When I first got this CD,
I listened to it on an Emerson stereo product. It sounded just fine...brilliant
and lively, like Vivaldi should sound. Then I looked it up on Amazon to read the
reviews...and about died laughing. Oh, boy. Sniffing?...you gotta be kidding.
Okay, so I listened to it again, and still didn''t notice any sniffing. So then
I put it in the disc drive of my computer, plugged in my headphones, and turned
it up as loud as I could stand it to be. You would need hearing like the Bionic
Man to notice that the guy playing the violin is yes, indeedy breathing through
his nose whilest he''s playing. I could only hear it in the quietest passages,
with the volume turned all the way up. Yes, possibly this was due to the microphone
being placed a little too close to the violinist, but it doesn''t ruin the recording.
It''s still very listenable and enjoyable. While we''re on the subject, here''s
a short list of people you can hear breathing on their recordings...<PERSON>,
bless her, when she inhales between lyrics of a song, she is absolutely right
there in the room with you. <PERSON>, in order to faciliate her incredible phrasing
and singing talent, also was known to take a noticably deep breath before a loud
note or an especially high one. <PERSON>, in his classic soprano incarnation,
often took a sharp whistling breath between lines of his songs, this was due to
his childhood asthma but it sure didn''t limit his volume or his pitch. Then there''s
<PERSON> who breathes and sighs all over the place...it adds to the atmospheric
effect of his vocal style. I''m sure that poor <PERSON> didn''t sniff on purpose,
but it''s probably very hard to breathe with one''s mouth open while they''ve
got a violin shoved under their chin. Thank you for your consideration in this
matter, and direct all comments to brideofcyrano@aol.com'
- text: The Rite is a very good movie despite the horrible critic reviews. Having
missed it in theaters I rented it on Amzon's video on demand. Like the Exorcism
of Emily Rose, this is not a horror film. If you are looking to be scared, this
is not the movie for you. Though most horror films are more disgusting than scary. The
Rite begins with the character of who <PERSON> fed up with working in his father's
mortuary. He wants to leave but can't pay for college. So he decides to join the
seminary so as to get a college education for free, even though he personally
believes in nothing. When he graduates, <PERSON> attempts to resign, but the
priest he sends his resignation to is not fooled and indirectly threatens to force
him to pay back the cost of his education. He doesn't do this out of spite, but
because he sees something in <PERSON> that <PERSON> doesn't see in himself. Reluctantly,
<PERSON> agrees to go to Rome for two month to study exorcism with the notion
that if when he gets back and still wants to resign, he can without repercussions. While
in Rome, <PERSON> challenges the professor of the exorcism course thereby publicly
announcing his own doubts. He is later sent to work with an older priest, Father
<PERSON>, who is an exorcist and has been in the trade for some time. <PERSON>
immediately shows <PERSON> a possessed pregnant girl as proof of the existence
of the devil. They continue to work on saving the possessed girl, who later dies
in the movie. I like the scene where they first meet. Fr. <PERSON> doesn't waste
time with chit chat, he just immediately gets into the matter. Also, <PERSON>
meets a female reporter named <PERSON> while in Rome. They connect and become
friends. At least the script writers decided to not put a romantic interest between
them. <PERSON> does a good job of playing the professional reporter who connects
with <PERSON> as she too searches for the truth and has something in common with
him. As the movie progresses <PERSON> is forced to face his inner demons. The
flashbacks in the movie let the viewer know that he lost his faith when his mother
died, but had obviously hung on to a bit of it as he has spent his whole life
searching for the truth about God and the Devil. <PERSON> does an excellent job
playing the doubting <PERSON> as he is forced to face actual cases of possession
and admit that maybe the devil is real. Never once did I think his performance
was forced. He was able to display the character's inner turmoil and the fact
that <PERSON> truly cares about these people that <PERSON> takes him to. At one
point he challenges the older Fr. <PERSON> saying that the pregnant girl needs
a psychiatrist more than a priest. Even though you can tell that even he is wondering
if maybe she is possessed as she knows things about his past that no one knows
about. <PERSON> does a superb job as Father <PERSON>. When you first meet him
he is a get down to business type and seems a bit off putting. As the movie continues
<PERSON> manages to demonstrate the emotional side of the character without it
seeming cheesy or forced. There is a scene in which Father <PERSON> is clearly
distraught over the young girl's death. It is a very emotional scene that even
you will feel Fr. <PERSON>' pain as he breaks down and cries and pleads with <PERSON>
to not let the devil destroy his soul like he destroyed the girl's. <PERSON> also
does a great job portraying the demonic taking over of the older priest until
the final exorcism scene at the end. In that scene <PERSON> puts a certain amount
of class into it. Whereas in the Exorcist and in Emily Rose the final exorcism
scene immediately starts with screaming and cussing and anything shocking that
Hollywood can throw in; in The Rite, the final showdown with the devil starts
off with the possessed Fr. <PERSON> displaying a certain amount of calm and class
that only <PERSON> can provide. He gets in <PERSON> and <PERSON>'s heads instead
on yelling insults at them. Then, he slowly progresses into a more antagonistic
character until he physically assaults <PERSON> and the female reporter. Naturally
the movie ends with <PERSON> being purified of his demons, which is good because
I hate sad endings. <PERSON> takes his vows and maintains his newfound belief
in God and the reality of the devil/evil. I like the parting scene between <PERSON>
and Fr. <PERSON>. It's not overly sentimental, but there is a chemistry between
the characters & actors where they have a newfound respect for each other as they
have both witnessed something few ever see. Like I said, the movie is not scary.
I found it to be more of a spiritual journey type film that concerns <PERSON>
and <PERSON> as they both face their own failings and learn to accept that evil
does exist and only with God can it be fought. But the movie also does not ignore
science. Even the character of <PERSON> admits that there are a lot of supposed
possession cases where the person is truly mentally ill. The exorcist is there
when science can't explain what's wrong with an individual. The movie does leave
it up to you the viewer to decide if you believe in the devil, or science. It
does provide believable resolution for the characters as they accept what's happened
and move on with their lives. The quality of the movie was very good. I rented
the SD version on video on demand. It loaded quickly and there were no problems
with playback. Not once did it look pixelated. It actually felt like I was watching
a DVD. I may buy this on DVD when the price goes down some. I recommend this
movie to anyone that likes a good drama and isn't expecting another Exorcist movie. Understand
that there is no pea soup, spinning heads, or masturbating 12 year old girls.
pipeline_tag: feature-extraction
library_name: sentence-transformers
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- dot_recall@8
- dot_recall@50
- dot_recall@100
- dot_ndcg@10
- dot_mrr@10
- dot_map@100
- query_active_dims
- query_sparsity_ratio
- corpus_active_dims
- corpus_sparsity_ratio
- avg_flops
model-index:
- name: Sparse Encoder
results:
- task:
type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset:
name: sparse ir eval
type: sparse-ir-eval
metrics:
- type: dot_accuracy@1
value: 0.05598880223955209
name: Dot Accuracy@1
- type: dot_accuracy@8
value: 0.15736852629474105
name: Dot Accuracy@8
- type: dot_accuracy@50
value: 0.32113577284543093
name: Dot Accuracy@50
- type: dot_accuracy@100
value: 0.41011797640471903
name: Dot Accuracy@100
- type: dot_precision@1
value: 0.05598880223955209
name: Dot Precision@1
- type: dot_precision@8
value: 0.01967106578684263
name: Dot Precision@8
- type: dot_precision@50
value: 0.006422715456908619
name: Dot Precision@50
- type: dot_precision@100
value: 0.004101179764047191
name: Dot Precision@100
- type: dot_recall@1
value: 0.05598880223955209
name: Dot Recall@1
- type: dot_recall@8
value: 0.15736852629474105
name: Dot Recall@8
- type: dot_recall@50
value: 0.32113577284543093
name: Dot Recall@50
- type: dot_recall@100
value: 0.41011797640471903
name: Dot Recall@100
- type: dot_ndcg@10
value: 0.10700833927390947
name: Dot Ndcg@10
- type: dot_mrr@10
value: 0.08729730244427296
name: Dot Mrr@10
- type: dot_map@100
value: 0.09527335248492443
name: Dot Map@100
- type: query_active_dims
value: 1024.0
name: Query Active Dims
- type: query_sparsity_ratio
value: 0.9796696315120712
name: Query Sparsity Ratio
- type: corpus_active_dims
value: 1024.0
name: Corpus Active Dims
- type: corpus_sparsity_ratio
value: 0.9796696315120712
name: Corpus Sparsity Ratio
- type: avg_flops
value: 828.1011962890625
name: Avg Flops
---
# Sparse Encoder
This is a [Sparse Encoder](https://www.sbert.net/docs/sparse_encoder/usage/usage.html) model trained on the json dataset using the [sentence-transformers](https://www.SBERT.net) library. It maps sentences & paragraphs to a 50368-dimensional sparse vector space and can be used for semantic search and sparse retrieval.
## Model Details
### Model Description
- **Model Type:** Sparse Encoder
<!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 50368 dimensions
- **Similarity Function:** Dot Product
- **Training Dataset:**
- json
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Documentation:** [Sparse Encoder Documentation](https://www.sbert.net/docs/sparse_encoder/usage/usage.html)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Sparse Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=sparse-encoder)
### Full Model Architecture
```
SparseEncoder(
(0): MLMTransformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'ModernBertForEmbeddingsFusedMeanpool'})
(1): SpladePooling({'pooling_strategy': 'mean', 'activation_function': 'log1p_relu', 'word_embedding_dimension': 50368})
)
```
## Usage
### Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
```bash
pip install -U sentence-transformers
```
Then you can load this model and run inference.
```python
from sentence_transformers import SparseEncoder
# Download from the 🤗 Hub
model = SparseEncoder("sparse_encoder_model_id")
# Run inference
queries = [
"Ok, so if you want to step up your coffee game, you need to cut it out with the pre-ground beans and buy whole. And while you\u0027re at it, you might as well go with this burr grinder over a blade grinder. It\u0027s really not all that much more expensive. So why a burr grinder? Better consistency. A blade grinder chops up the beans, but by nature can\u0027t really produce a consistent size for the grounds. And this will really mess with your coffee extraction. Maybe you\u0027re average coffee drinker wouldn\u0027t notice it, but then again, they\u0027re probably still buying pre-ground coffee. And you\u0027re not average, or you wouldn\u0027t be looking at this product,right? Let\u0027s get one thing out of the way... this is by no stretch of the imagination a top end grinder. For that, you want to go with a conical, low speed grinder. And that\u0027s going to cost. A lot. This grinder uses two flat serrated discs, a fixed distance apart, depending on how fine or course you want your grounds. Like I said, conical burrs are the preferred, but really disc grinders also do a fine job of crushing the beans. Basically, since the cones or discs are a fixed distance apart, the beans are crushed between them. The beans can\u0027t pass through to the collection bin until they are crushed to the size determined by the space between the cones/plates, and it\u0027s almost physically impossible for the beans to be crushed smaller (unlike a blade grinder, which can slice some beans to powder, and leave large chunks of others). I mean, that\u0027s just in case you were wondering how it all works. Really where this unit suffers compared to the really high end models is the speed. This is a fast grinder. There\u0027s a potential that the speed can create enough friction to heat up the beans a little. Really, though, that\u0027s a small concern. The bigger issue is that the speed tends to create static, which causes a lot of mess from grounds clinging all over the machine. You\u0027ll need to clean this thing. Often. But, aside from that, this thing will give you a better brew. The ability to ground your beans as you need them will give you fresher coffee, and the consistent size of the grind will give you better extraction. And that\u0027s what counts, right? Full disclosure: I\u0027m on my second unit. The first one apparently had a defect in the screw that held on one of the discs. It failed and the unit was non-functional. I hopped on Cuisinart\u0027s web site, found this model, and submitted a repair request. They immediately shipped out a new unit, as well as a shipping label to return the defective one. So despite the inconvenience of a bad unit, I have to say that the customer service was flawless.",
]
documents = [
'UPDATE: I\'m going to have to ding this a couple of stars due to the faulty electronics. I put in the batteries (it takes 2) shortly before attending a Halloween party and at first all seemed well. The "eyes" have two on modes: Flashing and solid. Both were working as expected (although I\'m not certain why anyone would opt for the flashing mode). Because it\'s difficult to see when the lights are on, I never intended to leave them on the entire time. So I switched them on when entering the party, then turned them off to socialize, only turning them on again if someone wanted a photo. About half way into the party, the lights inexplicably came on into flashing mode. I pressed the button and switched them to solid, and then pressed it again to switch them off. About 2 minutes later, they came back on in flashing mode. This time they wouldn\'t shut off. I had to take out the batteries. I had a spare set and tried putting those in, just in case my batteries were faulty. Things seemed normal for about 15 minutes when the lights again came on into flashing mode. Again it wouldn\'t switch off, and this time the batter compartment was slightly warm. Taking this SECOND set of batteries out, I notice some dark heat discoloration. It kind of makes me wonder what kind of a health hazard this thing might have been had I not caught that the switch circuit board was stressing the batteries. Bottom line? This product looks ok (and can look phenomenal with a bit of work), but don\'t trust the electronics in it. They are dangerous. ------------------------------ I\'ve read a couple of complaints about this product, so I wanted to address them: 1. Size. Some reviews have said this runs small. Taking note, I ordered the larger size, and I\'m glad that I did. I think that had I gone with the smaller size (which is listed as more in the range of my hat size), I\'d have been very disappointed with the fit. 2. Distortion: Many have complained about the packaging squishing the helmet. It would seem that the manufacturer has been paying attention. Mine arrived in box and had filler inside the helmet to try to retain the shape as much as possible. There is *some* inevitable distortion from the box, but pretty minimal and easily corrected. Overall, I have to say that I\'m pretty impressed with this product. The plastic is flexible, but much sturdier than what I was expecting. I do have to say, however, that my review and star rating is based on MANAGED expectations. This is not a completely screen accurate product and it is not without its flaws. But for what it is, and for the cost, I\'d say it\'s a reasonable costume piece either as is, or (as I intend) a base for further modification. Whether you intend to modify the helmet or not, one suggestion I have for everyone is to obtain some foam padding. There are some pressure point areas that will likely become uncomfortable with extended wear.',
'Okay, I like the Panasonic\'s Zs cameras. They\'re easy to get the hang of and I\'ve had no reliability issues. I started with a Panasonic Zs3. Later on I upgraded to a Zs7, then when I saw Amazon was selling a Zs9 which was the same as the Zs8 but with a stereo microphone and the price wasn\'t much over $100 (from Amazon Warehouse), I couldn\'t resist buying it for its 16x zoom. It\'s been a great camera. I love my Zs9 with it\'s long zoom despite it not having GPS (which I didn\'t care about) or HDMI out, and with a lower LCD screen resolution than the Zs7. I thought the screen clarity was fine and didn\'t miss the 460,000 dots on the Zs7. Well, I couldn\'t resist this newer upgraded Zs. The Zs20 is my 4th Panasonic Lumix Zs camera (all of them purchased from Amazon), and I can say without reservation that this is the best of them all. I love the fast burst shooting made possible by the CMOS sensor. The 16x zoom on the Zs8/9 is really great. I\'ve taken some fantastic close-up shots with it. Now I have a 20x zoom. Amazing. It\'s operates when shooting video too. Canon\'s G series, by comparison, has a larger 1:1.7 sensor compared to the Zs20 1:2.33. But, the zoom is very limited on the Canon and the camera is too big to carry around in your pocket - and it cost twice as much (and the older unavailable G9 model is better than the later ones I hear.) Their competitor for this Panasonic is their 20x zoom model SX260SH with a similar 1:2.33 CMOS sensor. Professional reviewers are rating the Zs20 higher than the comparable Canon, which is slightly larger, heavier, and costs more. Everyone raves about Panasonic\'s Leica lenses, with good reason. The Zs20 is just an amazing camera for the price. It\'s even slightly smaller than the Zs 7,8/9/10 and easy to carry in your pocket in a thin stretch case. Like the Zs7 (which never cost less than about $250.00) it has the 460,000 dot bright LCD screen, HDMI out, and GPS. It also has more features than the Zs7 or 8/9/10. Don\'t expect the price to get much lower. As I recall, the Zs10 (the real predecessor of the Zs20) price came down to about the Zs20 price today, or maybe at the very end, a few dollars less, but I wouldn\'t wait. Panasonic may refuse to lower the price any further. It\'s already so heavily discounted, and there is a limit to how low they\'ll go. If you want the absolute best deal, get a "used" one from Amazon Warehouse. It\'s hardly, if at all "used," and most likely brand new but returned for some reason and re-packaged. You have 30 days to send it back if there is anything wrong with it. You don\'t get the one year warranty however, so if that\'s important to you, but a new one. It\'s definitely worth the price. I already had an extra battery but you can buy a non-proprietary battery very inexpensively that lasts even longer than the battery that comes with the camera. I also had a wall charger (two - from my Zs7 and Zs9)), so I didn\'t have to buy that. I\'d say that\'s the only thing Panasonic let down on. It\'s worth getting a wall charger, but it should come with the camera. This is the first time it doesn\'t. Don\'t let it deter you.',
"The Rite is a very good movie despite the horrible critic reviews. Having missed it in theaters I rented it on Amzon's video on demand. Like the Exorcism of Emily Rose, this is not a horror film. If you are looking to be scared, this is not the movie for you. Though most horror films are more disgusting than scary. The Rite begins with the character of who <PERSON> fed up with working in his father's mortuary. He wants to leave but can't pay for college. So he decides to join the seminary so as to get a college education for free, even though he personally believes in nothing. When he graduates, <PERSON> attempts to resign, but the priest he sends his resignation to is not fooled and indirectly threatens to force him to pay back the cost of his education. He doesn't do this out of spite, but because he sees something in <PERSON> that <PERSON> doesn't see in himself. Reluctantly, <PERSON> agrees to go to Rome for two month to study exorcism with the notion that if when he gets back and still wants to resign, he can without repercussions. While in Rome, <PERSON> challenges the professor of the exorcism course thereby publicly announcing his own doubts. He is later sent to work with an older priest, Father <PERSON>, who is an exorcist and has been in the trade for some time. <PERSON> immediately shows <PERSON> a possessed pregnant girl as proof of the existence of the devil. They continue to work on saving the possessed girl, who later dies in the movie. I like the scene where they first meet. Fr. <PERSON> doesn't waste time with chit chat, he just immediately gets into the matter. Also, <PERSON> meets a female reporter named <PERSON> while in Rome. They connect and become friends. At least the script writers decided to not put a romantic interest between them. <PERSON> does a good job of playing the professional reporter who connects with <PERSON> as she too searches for the truth and has something in common with him. As the movie progresses <PERSON> is forced to face his inner demons. The flashbacks in the movie let the viewer know that he lost his faith when his mother died, but had obviously hung on to a bit of it as he has spent his whole life searching for the truth about God and the Devil. <PERSON> does an excellent job playing the doubting <PERSON> as he is forced to face actual cases of possession and admit that maybe the devil is real. Never once did I think his performance was forced. He was able to display the character's inner turmoil and the fact that <PERSON> truly cares about these people that <PERSON> takes him to. At one point he challenges the older Fr. <PERSON> saying that the pregnant girl needs a psychiatrist more than a priest. Even though you can tell that even he is wondering if maybe she is possessed as she knows things about his past that no one knows about. <PERSON> does a superb job as Father <PERSON>. When you first meet him he is a get down to business type and seems a bit off putting. As the movie continues <PERSON> manages to demonstrate the emotional side of the character without it seeming cheesy or forced. There is a scene in which Father <PERSON> is clearly distraught over the young girl's death. It is a very emotional scene that even you will feel Fr. <PERSON>' pain as he breaks down and cries and pleads with <PERSON> to not let the devil destroy his soul like he destroyed the girl's. <PERSON> also does a great job portraying the demonic taking over of the older priest until the final exorcism scene at the end. In that scene <PERSON> puts a certain amount of class into it. Whereas in the Exorcist and in Emily Rose the final exorcism scene immediately starts with screaming and cussing and anything shocking that Hollywood can throw in; in The Rite, the final showdown with the devil starts off with the possessed Fr. <PERSON> displaying a certain amount of calm and class that only <PERSON> can provide. He gets in <PERSON> and <PERSON>'s heads instead on yelling insults at them. Then, he slowly progresses into a more antagonistic character until he physically assaults <PERSON> and the female reporter. Naturally the movie ends with <PERSON> being purified of his demons, which is good because I hate sad endings. <PERSON> takes his vows and maintains his newfound belief in God and the reality of the devil/evil. I like the parting scene between <PERSON> and Fr. <PERSON>. It's not overly sentimental, but there is a chemistry between the characters & actors where they have a newfound respect for each other as they have both witnessed something few ever see. Like I said, the movie is not scary. I found it to be more of a spiritual journey type film that concerns <PERSON> and <PERSON> as they both face their own failings and learn to accept that evil does exist and only with God can it be fought. But the movie also does not ignore science. Even the character of <PERSON> admits that there are a lot of supposed possession cases where the person is truly mentally ill. The exorcist is there when science can't explain what's wrong with an individual. The movie does leave it up to you the viewer to decide if you believe in the devil, or science. It does provide believable resolution for the characters as they accept what's happened and move on with their lives. The quality of the movie was very good. I rented the SD version on video on demand. It loaded quickly and there were no problems with playback. Not once did it look pixelated. It actually felt like I was watching a DVD. I may buy this on DVD when the price goes down some. I recommend this movie to anyone that likes a good drama and isn't expecting another Exorcist movie. Understand that there is no pea soup, spinning heads, or masturbating 12 year old girls.",
]
query_embeddings = model.encode_query(queries)
document_embeddings = model.encode_document(documents)
print(query_embeddings.shape, document_embeddings.shape)
# [1, 50368] [3, 50368]
# Get the similarity scores for the embeddings
similarities = model.similarity(query_embeddings, document_embeddings)
print(similarities)
# tensor([[296.5509, 289.7054, 288.2206]])
```
<!--
### Direct Usage (Transformers)
<details><summary>Click to see the direct usage in Transformers</summary>
</details>
-->
<!--
### Downstream Usage (Sentence Transformers)
You can finetune this model on your own dataset.
<details><summary>Click to expand</summary>
</details>
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
## Evaluation
### Metrics
#### Sparse Information Retrieval
* Dataset: `sparse-ir-eval`
* Evaluated with [<code>SparseInformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sparse_encoder/evaluation.html#sentence_transformers.sparse_encoder.evaluation.SparseInformationRetrievalEvaluator) with these parameters:
```json
{
"max_active_dims": 1024
}
```
| Metric | Value |
|:----------------------|:----------|
| dot_accuracy@1 | 0.056 |
| dot_accuracy@8 | 0.1574 |
| dot_accuracy@50 | 0.3211 |
| dot_accuracy@100 | 0.4101 |
| dot_precision@1 | 0.056 |
| dot_precision@8 | 0.0197 |
| dot_precision@50 | 0.0064 |
| dot_precision@100 | 0.0041 |
| dot_recall@1 | 0.056 |
| dot_recall@8 | 0.1574 |
| dot_recall@50 | 0.3211 |
| dot_recall@100 | 0.4101 |
| **dot_ndcg@10** | **0.107** |
| dot_mrr@10 | 0.0873 |
| dot_map@100 | 0.0953 |
| query_active_dims | 1024.0 |
| query_sparsity_ratio | 0.9797 |
| corpus_active_dims | 1024.0 |
| corpus_sparsity_ratio | 0.9797 |
| avg_flops | 828.1012 |
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Dataset
#### json
* Dataset: json
* Size: 202,427 training samples
* Columns: <code>anchor</code> and <code>positive</code>
* Approximate statistics based on the first 1000 samples:
| | anchor | positive |
|:--------|:-------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|
| type | string | string |
| details | <ul><li>min: 402 tokens</li><li>mean: 499.1 tokens</li><li>max: 512 tokens</li></ul> | <ul><li>min: 393 tokens</li><li>mean: 499.22 tokens</li><li>max: 512 tokens</li></ul> |
* Samples:
| anchor | positive |
|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| <code>This knife, and theJ.A. Henckels Twin Four Star 3-Inch High Carbon Stainless-Steel Paring Knifeare the two best knives in the Henckels four star collection. There is something "just so" about them. They are just right, with all the various design parameters coming together to create a whole that is greater than the sum of the parts. This serrated utility knife works well in a great variety of applications. The five inch serrated blade is nicely thin (but still thick enough for good strength and rigidity) and shallow (i.e. not broad). I find it very useful for cutting pie or cake or brownies, as well as (of course) bread and tomatoes and many other vegetables. I've had this knife now for SIXTEEN YEARS, and it is still going strong, and still one of my favorites. However . . . you must SHARPEN this knife eventually. Like any other knife, it will go dull. NEVER HONE THIS KNIFE OR ANY OTHER SERRATED KNIFE! A sharpening steel is too large a diameter to be used on a serrated knife....</code> | <code>When I moved into my first (and current) house from my apartment, the previous owner had a Whirlpool (Ecodyne) WHER25 reverse osmosis system installed under the kitchen sink. I liked the water the system produced, but the flow control was misfunctioning, causing an annoying dripping sound that was almost constant. The installer (previous owner, not a plumber) had NOT made the common mistake of trimming out the flow control--which was the first thing I suspected. No, the problem, rather, was deformation of the thin rubber membranes (there are two) inside the head of the unit. I flipped them over (they are reversible) and this fixed the problem for a month or so, but it returned. I priced out new membranes/gaskets and flow control insert, with shipping, and decided that I should just start fresh with a whole new unit, since it was on a special sale locally and it would come with all new filters ($80 worth). I replaced just the head and all was well for a while. Then the tank stopp...</code> |
| <code>The Good: Sawstop customer service is the best I have dealt with in years. When set up correctly it cuts sheet good like a dream. Only a panel saw would seem better. The adjustable stops are stout and easy to use. Great for repeat cuts. Sliding mechanism is very smooth The Bad: No postive stops - in my experience this borders on being a huge problem for two reasons. First, it is not easy to get the fence square to the blade if you want to be very accurate. On the best of days it takes me 5 minutes to get it close enough to make a 48" cut square. Without positive stops I have to square the sliding table fence every time it is bumped or removed. And, I remove it regularly as the sliding table fence sits close enough to the blade that almost all cuts over 48" using the regular saw fence demand the sliding table fence be removed or swung out of the way (if the cut is less than 48" the sliding table can be moved back with fence in place forming a little pocket to work within). The fence th...</code> | <code>The Bad (yes there are a lot of bad things even with 5 stars): One of the worst written non fiction books I have ever owned. I really don't care if one of the authors clients liked a sauce so well that she would eat it over kitty litter. I don't care to read 100s of testaments to how good the recipes are (they are pretty good). I just want to get on with the book. Prove the recipes are not good. Don't spend all those pages trying to convince me. It even backfired. I was sure they were going to be terrible are reading all the testaments. Get ready to cook. A lot. Get ready to do a lot of dishes. Have to plan ahead. Have to make lunches the night before often. The flax seed breakfast takes some work and time. Can't just whip it up. If you run out without having already prepared more you will find yourself without a breakfast. Terribly organized. It is not sequential. You will read something and then find out later you were not suppose to do it when you did unless you read the entire b...</code> |
| <code>I've had a Samsung WB850 and I still have a Fuji F900EXR. Both are megazoom pocket cameras. I'm sold on pocket megazooms for reasons that I explained in my review of the WB850. I've put my big DSLRs away only for stuff where I need the features of a big DSLR and those times are becoming rarer. I changed from the WB850 for one reason. It is SLOW between shots. Super camera but it just took too much time between shots AND I wanted a camera that would shoot in raw format. The Fuji is fast between shots and it shoots in raw BUT it won't let you run the camera and charge the battery in the camera through the USB port. Therefore I always had to carry extra batteries. After owning the Fuji for a few months, I found that I really did not need raw pictures. I just never used the raw file, only the jpg file. If you don't know what the raw format is, then you most likely don't need raw. I saw the 9700 in a store and was super impressed with the zoom. There is a BIG difference between the 21X me...</code> | <code>The system works great! There are a few points that I would like to point out for installation. 1. Each controller will handle up to three doors or gates but you can add multiple controllers. I have 5 garage doors to control. I needed two controllers and three extra door sensors since each controller comes with one sensor. You must switch between controllers in the app to control each group of doors. The app does remember the last used controller. 2. The app will always default to Door #1 and you must swipe left or right to control Door #2 or #3. Therefore if there is one particular door that you use most, make that door #1. Each door can be labeled with a unique name and the name is what you will see in the app. I use the middle door mainly and I had to go back and rewire the middle door to the #1 terminal so that it would always show up as the default door and I did not need to swipe to select it. Name your controller the PERMANENT name that you want to call it initially. Once it...</code> |
* Loss: <code>model.SpladeMixedTopKLoss.SpladeMixedTopKLoss</code> with these parameters:
```json
{
"loss": "SparseMultipleNegativesRankingLoss(scale=1.0, similarity_fct='dot_score', gather_across_devices=False)",
"document_regularizer_weight": 0.005,
"query_regularizer_weight": 0.005,
"document_regularizer_threshold": 256,
"query_regularizer_threshold": 256
}
```
### Training Hyperparameters
#### Non-Default Hyperparameters
- `eval_strategy`: steps
- `per_device_train_batch_size`: 64
- `weight_decay`: 0.0001
- `num_train_epochs`: 2
- `lr_scheduler_type`: cosine
- `warmup_ratio`: 0.075
- `save_only_model`: True
- `bf16`: True
- `dataloader_num_workers`: 8
- `gradient_checkpointing`: True
#### All Hyperparameters
<details><summary>Click to expand</summary>
- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 64
- `per_device_eval_batch_size`: 8
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-05
- `weight_decay`: 0.0001
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1
- `num_train_epochs`: 2
- `max_steps`: -1
- `lr_scheduler_type`: cosine
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.075
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: True
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 8
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `parallelism_config`: None
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch_fused
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `project`: huggingface
- `trackio_space_id`: trackio
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `hub_revision`: None
- `gradient_checkpointing`: True
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`:
- `auto_find_batch_size`: False
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: no
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `liger_kernel_config`: None
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: True
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
- `router_mapping`: {}
- `learning_rate_mapping`: {}
</details>
### Training Logs
<details><summary>Click to expand</summary>
| Epoch | Step | Training Loss | sparse-ir-eval_dot_ndcg@10 |
|:------:|:----:|:-------------:|:--------------------------:|
| 0.0063 | 20 | 787.2433 | - |
| 0.0126 | 40 | 440.0618 | - |
| 0.0190 | 60 | 271.8732 | - |
| 0.0253 | 80 | 159.8073 | - |
| 0.0316 | 100 | 115.2051 | - |
| 0.0379 | 120 | 68.2212 | - |
| 0.0443 | 140 | 37.2703 | - |
| 0.0506 | 160 | 21.9191 | - |
| 0.0569 | 180 | 13.6624 | - |
| 0.0632 | 200 | 6.6098 | - |
| 0.0696 | 220 | 4.905 | - |
| 0.0759 | 240 | 4.4195 | - |
| 0.0822 | 260 | 3.7145 | - |
| 0.0885 | 280 | 3.3807 | - |
| 0.0948 | 300 | 3.3389 | - |
| 0.1012 | 320 | 3.1854 | - |
| 0.1075 | 340 | 3.0942 | - |
| 0.1138 | 360 | 2.8802 | - |
| 0.1201 | 380 | 2.8744 | - |
| 0.1265 | 400 | 2.9323 | - |
| 0.1328 | 420 | 2.805 | - |
| 0.1391 | 440 | 2.7811 | - |
| 0.1454 | 460 | 2.7447 | - |
| 0.1518 | 480 | 2.7353 | - |
| 0.1581 | 500 | 2.6297 | - |
| 0.1644 | 520 | 2.6286 | - |
| 0.1707 | 540 | 2.6424 | - |
| 0.1770 | 560 | 2.5846 | - |
| 0.1834 | 580 | 2.6457 | - |
| 0.1897 | 600 | 2.4484 | - |
| 0.1960 | 620 | 2.5683 | - |
| 0.2023 | 640 | 2.5078 | - |
| 0.2087 | 660 | 2.4674 | - |
| 0.2150 | 680 | 2.4734 | - |
| 0.2213 | 700 | 2.3857 | - |
| 0.2276 | 720 | 2.3447 | - |
| 0.2340 | 740 | 2.3187 | - |
| 0.2403 | 760 | 2.4015 | - |
| 0.2466 | 780 | 2.3671 | - |
| 0.2529 | 800 | 2.2929 | - |
| 0.2592 | 820 | 2.3264 | - |
| 0.2656 | 840 | 2.7711 | - |
| 0.2719 | 860 | 2.2928 | - |
| 0.2782 | 880 | 2.1857 | - |
| 0.2845 | 900 | 2.1 | - |
| 0.2909 | 920 | 2.1598 | - |
| 0.2972 | 940 | 1.9527 | - |
| 0.3035 | 960 | 2.0608 | - |
| 0.3098 | 980 | 2.0235 | - |
| 0.3162 | 1000 | 1.9305 | - |
| 0.3225 | 1020 | 1.9598 | - |
| 0.3288 | 1040 | 1.9558 | - |
| 0.3351 | 1060 | 2.0087 | - |
| 0.3414 | 1080 | 1.9493 | - |
| 0.3478 | 1100 | 1.7575 | - |
| 0.3541 | 1120 | 1.7915 | - |
| 0.3604 | 1140 | 1.8282 | - |
| 0.3667 | 1160 | 1.774 | - |
| 0.3731 | 1180 | 1.7967 | - |
| 0.3794 | 1200 | 1.7661 | - |
| 0.3857 | 1220 | 1.7127 | - |
| 0.3920 | 1240 | 1.6856 | - |
| 0.3984 | 1260 | 1.737 | - |
| 0.4047 | 1280 | 1.7078 | - |
| 0.4110 | 1300 | 1.7971 | - |
| 0.4173 | 1320 | 1.6587 | - |
| 0.4236 | 1340 | 1.6127 | - |
| 0.4300 | 1360 | 1.5483 | - |
| 0.4363 | 1380 | 1.5743 | - |
| 0.4426 | 1400 | 1.6291 | - |
| 0.4489 | 1420 | 1.6277 | - |
| 0.4553 | 1440 | 1.5486 | - |
| 0.4616 | 1460 | 1.5393 | - |
| 0.4679 | 1480 | 1.5138 | - |
| 0.4742 | 1500 | 1.5601 | - |
| 0.4806 | 1520 | 1.5127 | - |
| 0.4869 | 1540 | 1.5186 | - |
| 0.4932 | 1560 | 1.4835 | - |
| 0.4995 | 1580 | 1.3831 | - |
| 0.5058 | 1600 | 1.5297 | - |
| 0.5122 | 1620 | 1.4104 | - |
| 0.5185 | 1640 | 1.3922 | - |
| 0.5248 | 1660 | 1.4043 | - |
| 0.5311 | 1680 | 1.4286 | - |
| 0.5375 | 1700 | 1.3533 | - |
| 0.5438 | 1720 | 1.3941 | - |
| 0.5501 | 1740 | 1.3218 | - |
| 0.5564 | 1760 | 1.3049 | - |
| 0.5628 | 1780 | 1.4483 | - |
| 0.5691 | 1800 | 1.3819 | - |
| 0.5754 | 1820 | 1.3073 | - |
| 0.5817 | 1840 | 1.3515 | - |
| 0.5880 | 1860 | 1.3165 | - |
| 0.5944 | 1880 | 1.2582 | - |
| 0.6007 | 1900 | 1.2801 | - |
| 0.6070 | 1920 | 1.2912 | - |
| 0.6133 | 1940 | 1.2768 | - |
| 0.6197 | 1960 | 1.2681 | - |
| 0.6260 | 1980 | 1.2818 | - |
| 0.6323 | 2000 | 1.2085 | 0.0834 |
| 0.6386 | 2020 | 1.2319 | - |
| 0.6450 | 2040 | 1.2843 | - |
| 0.6513 | 2060 | 1.2895 | - |
| 0.6576 | 2080 | 1.2754 | - |
| 0.6639 | 2100 | 1.3094 | - |
| 0.6702 | 2120 | 1.1937 | - |
| 0.6766 | 2140 | 1.2294 | - |
| 0.6829 | 2160 | 1.2211 | - |
| 0.6892 | 2180 | 1.3088 | - |
| 0.6955 | 2200 | 1.1989 | - |
| 0.7019 | 2220 | 1.2486 | - |
| 0.7082 | 2240 | 1.1296 | - |
| 0.7145 | 2260 | 1.1456 | - |
| 0.7208 | 2280 | 1.2594 | - |
| 0.7272 | 2300 | 1.1598 | - |
| 0.7335 | 2320 | 1.1291 | - |
| 0.7398 | 2340 | 1.1203 | - |
| 0.7461 | 2360 | 1.1708 | - |
| 0.7525 | 2380 | 1.175 | - |
| 0.7588 | 2400 | 1.2057 | - |
| 0.7651 | 2420 | 1.2125 | - |
| 0.7714 | 2440 | 1.2678 | - |
| 0.7777 | 2460 | 1.1447 | - |
| 0.7841 | 2480 | 1.2268 | - |
| 0.7904 | 2500 | 1.1557 | - |
| 0.7967 | 2520 | 1.1321 | - |
| 0.8030 | 2540 | 1.1172 | - |
| 0.8094 | 2560 | 1.1761 | - |
| 0.8157 | 2580 | 1.1746 | - |
| 0.8220 | 2600 | 1.1864 | - |
| 0.8283 | 2620 | 1.096 | - |
| 0.8347 | 2640 | 1.0784 | - |
| 0.8410 | 2660 | 1.1665 | - |
| 0.8473 | 2680 | 1.0553 | - |
| 0.8536 | 2700 | 1.0657 | - |
| 0.8599 | 2720 | 1.0973 | - |
| 0.8663 | 2740 | 1.0824 | - |
| 0.8726 | 2760 | 1.0886 | - |
| 0.8789 | 2780 | 1.1338 | - |
| 0.8852 | 2800 | 1.1033 | - |
| 0.8916 | 2820 | 1.0429 | - |
| 0.8979 | 2840 | 1.0102 | - |
| 0.9042 | 2860 | 1.1599 | - |
| 0.9105 | 2880 | 1.0423 | - |
| 0.9169 | 2900 | 1.0815 | - |
| 0.9232 | 2920 | 1.0804 | - |
| 0.9295 | 2940 | 1.1668 | - |
| 0.9358 | 2960 | 1.0606 | - |
| 0.9421 | 2980 | 1.0705 | - |
| 0.9485 | 3000 | 1.072 | - |
| 0.9548 | 3020 | 1.1239 | - |
| 0.9611 | 3040 | 1.112 | - |
| 0.9674 | 3060 | 1.0759 | - |
| 0.9738 | 3080 | 0.956 | - |
| 0.9801 | 3100 | 0.9945 | - |
| 0.9864 | 3120 | 1.0119 | - |
| 0.9927 | 3140 | 0.9965 | - |
| 0.9991 | 3160 | 1.1177 | - |
| 1.0054 | 3180 | 0.8884 | - |
| 1.0117 | 3200 | 0.9041 | - |
| 1.0180 | 3220 | 0.9367 | - |
| 1.0243 | 3240 | 0.8253 | - |
| 1.0307 | 3260 | 0.8637 | - |
| 1.0370 | 3280 | 0.8665 | - |
| 1.0433 | 3300 | 0.8306 | - |
| 1.0496 | 3320 | 0.8374 | - |
| 1.0560 | 3340 | 0.9326 | - |
| 1.0623 | 3360 | 0.8675 | - |
| 1.0686 | 3380 | 0.8846 | - |
| 1.0749 | 3400 | 0.8782 | - |
| 1.0813 | 3420 | 0.9058 | - |
| 1.0876 | 3440 | 0.8242 | - |
| 1.0939 | 3460 | 0.8406 | - |
| 1.1002 | 3480 | 0.8854 | - |
| 1.1065 | 3500 | 0.9114 | - |
| 1.1129 | 3520 | 0.7916 | - |
| 1.1192 | 3540 | 0.8902 | - |
| 1.1255 | 3560 | 0.8235 | - |
| 1.1318 | 3580 | 0.8662 | - |
| 1.1382 | 3600 | 0.8252 | - |
| 1.1445 | 3620 | 0.8636 | - |
| 1.1508 | 3640 | 0.8013 | - |
| 1.1571 | 3660 | 0.8126 | - |
| 1.1635 | 3680 | 0.8361 | - |
| 1.1698 | 3700 | 0.8975 | - |
| 1.1761 | 3720 | 0.8723 | - |
| 1.1824 | 3740 | 0.7598 | - |
| 1.1887 | 3760 | 0.8172 | - |
| 1.1951 | 3780 | 0.7955 | - |
| 1.2014 | 3800 | 0.8491 | - |
| 1.2077 | 3820 | 0.8096 | - |
| 1.2140 | 3840 | 0.8215 | - |
| 1.2204 | 3860 | 0.8388 | - |
| 1.2267 | 3880 | 0.8766 | - |
| 1.2330 | 3900 | 0.8822 | - |
| 1.2393 | 3920 | 0.7843 | - |
| 1.2457 | 3940 | 0.7955 | - |
| 1.2520 | 3960 | 0.7593 | - |
| 1.2583 | 3980 | 0.8728 | - |
| 1.2646 | 4000 | 0.7812 | 0.0966 |
| 1.2709 | 4020 | 0.7947 | - |
| 1.2773 | 4040 | 0.861 | - |
| 1.2836 | 4060 | 0.7238 | - |
| 1.2899 | 4080 | 0.8105 | - |
| 1.2962 | 4100 | 0.804 | - |
| 1.3026 | 4120 | 0.8112 | - |
| 1.3089 | 4140 | 0.8061 | - |
| 1.3152 | 4160 | 0.8149 | - |
| 1.3215 | 4180 | 0.7243 | - |
| 1.3279 | 4200 | 0.7487 | - |
| 1.3342 | 4220 | 0.789 | - |
| 1.3405 | 4240 | 0.7696 | - |
| 1.3468 | 4260 | 0.7236 | - |
| 1.3531 | 4280 | 0.7761 | - |
| 1.3595 | 4300 | 0.7864 | - |
| 1.3658 | 4320 | 0.8002 | - |
| 1.3721 | 4340 | 0.7939 | - |
| 1.3784 | 4360 | 0.7647 | - |
| 1.3848 | 4380 | 0.7741 | - |
| 1.3911 | 4400 | 0.7361 | - |
| 1.3974 | 4420 | 0.7732 | - |
| 1.4037 | 4440 | 0.79 | - |
| 1.4101 | 4460 | 0.7661 | - |
| 1.4164 | 4480 | 0.7779 | - |
| 1.4227 | 4500 | 0.7711 | - |
| 1.4290 | 4520 | 0.7952 | - |
| 1.4353 | 4540 | 0.7743 | - |
| 1.4417 | 4560 | 0.72 | - |
| 1.4480 | 4580 | 0.7801 | - |
| 1.4543 | 4600 | 0.7453 | - |
| 1.4606 | 4620 | 0.7509 | - |
| 1.4670 | 4640 | 0.7558 | - |
| 1.4733 | 4660 | 0.7718 | - |
| 1.4796 | 4680 | 0.6954 | - |
| 1.4859 | 4700 | 0.705 | - |
| 1.4923 | 4720 | 0.751 | - |
| 1.4986 | 4740 | 0.765 | - |
| 1.5049 | 4760 | 0.7983 | - |
| 1.5112 | 4780 | 0.7716 | - |
| 1.5175 | 4800 | 0.7747 | - |
| 1.5239 | 4820 | 0.7613 | - |
| 1.5302 | 4840 | 0.7962 | - |
| 1.5365 | 4860 | 0.7893 | - |
| 1.5428 | 4880 | 0.7291 | - |
| 1.5492 | 4900 | 0.6982 | - |
| 1.5555 | 4920 | 0.7057 | - |
| 1.5618 | 4940 | 0.7883 | - |
| 1.5681 | 4960 | 0.782 | - |
| 1.5745 | 4980 | 0.7625 | - |
| 1.5808 | 5000 | 0.7101 | - |
| 1.5871 | 5020 | 0.7394 | - |
| 1.5934 | 5040 | 0.6894 | - |
| 1.5997 | 5060 | 0.6992 | - |
| 1.6061 | 5080 | 0.7032 | - |
| 1.6124 | 5100 | 0.7659 | - |
| 1.6187 | 5120 | 0.7268 | - |
| 1.6250 | 5140 | 0.6928 | - |
| 1.6314 | 5160 | 0.7134 | - |
| 1.6377 | 5180 | 0.8233 | - |
| 1.6440 | 5200 | 0.7258 | - |
| 1.6503 | 5220 | 0.653 | - |
| 1.6567 | 5240 | 0.764 | - |
| 1.6630 | 5260 | 0.8153 | - |
| 1.6693 | 5280 | 0.6717 | - |
| 1.6756 | 5300 | 0.7592 | - |
| 1.6819 | 5320 | 0.7114 | - |
| 1.6883 | 5340 | 0.7035 | - |
| 1.6946 | 5360 | 0.702 | - |
| 1.7009 | 5380 | 0.735 | - |
| 1.7072 | 5400 | 0.7298 | - |
| 1.7136 | 5420 | 0.7082 | - |
| 1.7199 | 5440 | 0.693 | - |
| 1.7262 | 5460 | 0.7466 | - |
| 1.7325 | 5480 | 0.691 | - |
| 1.7389 | 5500 | 0.8491 | - |
| 1.7452 | 5520 | 0.7267 | - |
| 1.7515 | 5540 | 0.6938 | - |
| 1.7578 | 5560 | 0.7251 | - |
| 1.7641 | 5580 | 0.6835 | - |
| 1.7705 | 5600 | 0.7431 | - |
| 1.7768 | 5620 | 0.7031 | - |
| 1.7831 | 5640 | 0.6999 | - |
| 1.7894 | 5660 | 0.7097 | - |
| 1.7958 | 5680 | 0.7125 | - |
| 1.8021 | 5700 | 0.7399 | - |
| 1.8084 | 5720 | 0.677 | - |
| 1.8147 | 5740 | 0.7428 | - |
| 1.8211 | 5760 | 0.7495 | - |
| 1.8274 | 5780 | 0.7266 | - |
| 1.8337 | 5800 | 0.6984 | - |
| 1.8400 | 5820 | 0.7527 | - |
| 1.8463 | 5840 | 0.6564 | - |
| 1.8527 | 5860 | 0.7028 | - |
| 1.8590 | 5880 | 0.7015 | - |
| 1.8653 | 5900 | 0.7219 | - |
| 1.8716 | 5920 | 0.7569 | - |
| 1.8780 | 5940 | 0.6832 | - |
| 1.8843 | 5960 | 0.72 | - |
| 1.8906 | 5980 | 0.6878 | - |
| 1.8969 | 6000 | 0.6468 | 0.1070 |
| 1.9033 | 6020 | 0.6901 | - |
| 1.9096 | 6040 | 0.7066 | - |
| 1.9159 | 6060 | 0.6818 | - |
| 1.9222 | 6080 | 0.735 | - |
| 1.9285 | 6100 | 0.7364 | - |
| 1.9349 | 6120 | 0.7485 | - |
| 1.9412 | 6140 | 0.7123 | - |
| 1.9475 | 6160 | 0.7488 | - |
| 1.9538 | 6180 | 0.7161 | - |
| 1.9602 | 6200 | 0.6795 | - |
| 1.9665 | 6220 | 0.6925 | - |
| 1.9728 | 6240 | 0.8108 | - |
| 1.9791 | 6260 | 0.7295 | - |
| 1.9855 | 6280 | 0.7232 | - |
| 1.9918 | 6300 | 0.7575 | - |
| 1.9981 | 6320 | 0.7006 | - |
</details>
### Framework Versions
- Python: 3.11.14
- Sentence Transformers: 5.1.1
- Transformers: 4.57.1
- PyTorch: 2.8.0+cu128
- Accelerate: 1.11.0
- Datasets: 4.2.0
- Tokenizers: 0.22.1
## Citation
### BibTeX
#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
```
#### FlopsLoss
```bibtex
@article{paria2020minimizing,
title={Minimizing flops to learn efficient sparse representations},
author={Paria, Biswajit and Yeh, Chih-Kuan and Yen, Ian EH and Xu, Ning and Ravikumar, Pradeep and P{'o}czos, Barnab{'a}s},
journal={arXiv preprint arXiv:2004.05665},
year={2020}
}
```
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