Add SetFit model
Browse files- 1_Pooling/config.json +9 -0
- README.md +349 -0
- config.json +24 -0
- config_sentence_transformers.json +7 -0
- config_setfit.json +4 -0
- model.safetensors +3 -0
- model_head.pkl +3 -0
- modules.json +14 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false
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}
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README.md
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---
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library_name: setfit
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tags:
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- setfit
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- sentence-transformers
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- text-classification
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- generated_from_setfit_trainer
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datasets:
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- Kevinger/hub-report-dataset
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metrics:
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- accuracy
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widget:
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+
- text: 'FOXBOROUGH — With Bill Belichick gone and no clear heir to his personnel
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throne in New England, it remains murky who will have final say on the roster
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+
as the offseason gets rolling.
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+
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+
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At Jerod Mayo’s introductory press conference, Robert Kraft said it’d be collaborative
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approach for now, but sought to debunk the idea that ownership will be more involved.
|
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He said his family will continue to delegate to the football operations staff
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as they have since purchasing the team in 1994.
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+
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+
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BET ANYTHING GET $250 BONUS ESPN BET CLAIM OFFER MASS 21+ and present in MA, NJ,
|
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PA, VA, MD, WV, TN, LA, KS, KY, CO, AZ, IL, IA, IN, OH, MI. Gambling problem?
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Call 1-800-Gambler.
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“It will be the same input that we’ve had for the last three decades: We try to
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hire the best people we can find and let them do their job and hold them accountable,”
|
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Kraft said. “If you get involved and tell them what to do or try to influence
|
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them, you can’t hold them responsible and have them accountable. It’ll be within
|
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the people’s discretion who are the decision makers to do it, and if we’ve hired
|
34 |
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the wrong people, then we’ll have to make a change. But we’re going to try to
|
35 |
+
enjoy it as fans.”
|
36 |
+
|
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|
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Kraft said there’s only one situation where ownership will get involved in football
|
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ops, and that’s when it comes off-the-field issues.
|
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“The only area that we have really weighed in is when it comes to bringing in
|
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people that we might think are not the right character to be here and they have
|
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done things in their past,” Kraft said. “That’s the only time we’ve really weighed
|
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in.”'
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- text: 'WESTFIELD - The St. Mary’s High School boys basketball team may have just
|
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+
found their secret weapon or at least one of them.
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+
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+
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St. Mary’s guard-forward Patryk Lech scored 14 points, including three 3-pointers
|
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+
to help the Saints stop a two-game slide and turn back Pioneer Valley Christian
|
52 |
+
Academy, 55-32, Wednesday night at Westfield Intermediate School.'
|
53 |
+
- text: 'WE’VE SEEN ACROSS OUR REGION. ONE AMBULANCE WE HAVE PROBABLY SIX VICTIMS
|
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+
DOWN HERE. THE 911 CALLS COMING IN AROUND 220 THIS MORNING. BLACK SUV CAME UP,
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FIRED ROUNDS, TOOK OFF A SHOOTING ON ESSEX STREET WHERE PEOPLE WERE CELEBRATING.
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A FRIEND HEADING OFF TO COLLEGE. NOW, THIS STUFF IS UNFORTUNATE. I DIDN’T EXPECT
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IT TO HAPPEN. I NEVER THOUGHT I WOULD GET THAT CALL. HIS BROTHER SAYING ABRAHAM
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DIAZ IS ONE OF THE SEVEN PEOPLE SHOT. THE 25 YEAR OLD DIDN’T SURVIVE. HE’LL GO
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TO THINGS LIKE THIS TO SHOW SUPPORT AND LOVE AND THAT’S WHAT THAT’S WHAT HE’S
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ALL ABOUT. THE SIX OTHERS WERE RUSHED TO THE HOSPITAL. TWO IN CRITICAL CONDITION.
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THERE’S MULTIPLE PEOPLE THAT WE KNOW PERSONALLY THAT WE HANG OUT WITH AND LAUGH
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WITH THAT ARE RIGHT NOW IN THE HOSPITAL FIGHTING FOR THEIR LIVES. NOW INVESTIGATORS
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ARE WORKING TO TRACK DOWN WHOEVER PULLED THE TRIGGER, SAYING VIOLENCE LIKE THIS
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ISN’T UNIQUE TO. LYNN. IT’S NOT ONLY A PROBLEM IN OUR COMMUNITY, BUT IT’S BEEN
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A PROBLEM IN MANY URBAN COMMUNITIES LAST WEEKEND IN BOSTON, TWO LARGE BRAWLS INVOLVING
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TEENS AND KIDS AND A SHOOTING AT THE CARIBBEAN FESTIVAL THAT LEFT EIGHT HURT ENDED
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WITH 17 PEOPLE ARRESTED, 14 OF WHOM ARE MINORS. NOW, AS LYNN POLICE INVESTIGATE,
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SOME WHO LIVE HERE ARE QUESTIONING HOW SAFE ARE OUR COMMUNITIES. I HAVE A TWO
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AND A HALF YEAR OLD BROTHER. I’M STARTING TO THINK LIKE AS A IS THIS A GOOD PLACE
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TO RAISE HIM HERE? YOU KNOW, IT’S GETTING A LITTLE VIOLENT. LYNN POLICE SAY THEY
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BELIEVE THIS SHOOTING WAS TARGETED. THEY SAY IT’LL TAKE THE WORK OF POLICE AS
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WELL AS THE HELP OF THE COMMUNITY TO SOLVE THI
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Advertisement 2 of 7 victims in Lynn shooting now dead, district attorney says
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Share Copy Link Copy
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Another man is dead in connection with a shooting that happened early Saturday
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morning in Lynn, Massachusetts.Authorities announced Sunday that 21-year-old Jandriel
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Heredia, of Revere, died of the injuries he suffered in the Essex Street shooting
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that had already claimed the life of 25-year-old Abraham Diaz.The shooting, which
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injured a total of seven people, was first reported to Lynn police at about 2:20
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a.m. Saturday.The Essex County District Attorney''s Office said that as of Sunday
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night, there is no new information as to the condition of the five other shooting
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victims. "This is a terrible act of violence," Essex County District Attorney
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Paul Tucker said. "We do not believe this was a random act of violence."Tucker
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said shots were fired from a vehicle."They were having some type of a social gathering,"
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the district attorney said. "This violence was put upon them in a terrible way.""The
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people who did this are not in custody, and we want to make sure we do get them
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into custody," Tucker added. "I just can''t believe it happened," said Brian Diaz,
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brother of Abraham Diaz. "I''m still trying to process it.""My brother was a good
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kid," Brian Diaz added. "He was just like me, giving back to kids, looking out
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for kids, and ... just wanted to make sure everyone was all right."Brian said
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Abraham was from Lynn. He said his brother was with a group celebrating a friend
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who was heading off to college. "This is absolutely outrageous to have this level
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of violence happen on our streets and in our neighborhood," Lynn Mayor Jared Nicholson
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said at a news conference on Saturday morning. "It''s horrifying.""What everyone
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experienced in this street and neighborhood, shouldn''t happen," Nicholson said.Several
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multi-unit residential homes were located in the area of the shooting. "We believe
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this incident was a targeted attack," Lynn police Chief Christopher Reddy said.
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"We are committed to holding those accountable responsible for this senseless
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act of violence."On Sunday, Tucker and Reddy said that a man was fatally shot
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on Lincoln Street shortly after 11 p.m. Saturday. Authorities said that based
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on their initial investigation, the shooting is not believed to be a random act
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of violence.Anyone with any information about the shootings is asked to contact
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Lynn police at 781-595-2000 or by texting a tip to 847411 (TIP411).The shootings
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were being investigated by the Essex County District Attorney’s Office State Police
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Detective Unit and detectives from the Lynn Police Department. Previous coverage:'
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- text: 'Joan Acocella, a cultural critic whose elegant, erudite essays about dance
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and literature appeared in The New Yorker and The New York Review of Books for
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more than four decades, died on Sunday at her home in Manhattan. She was 78.
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Her son, Bartholomew Acocella, said the cause was cancer.
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Ms. Acocella (pronounced ack-ah-CHELL-uh) wrote deeply about dancers and choreographers,
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including Mikhail Baryshnikov, Suzanne Farrell and George Balanchine. She scrutinized
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the vicissitudes of the New York City Ballet as well as the feats of the ballroom-dancing
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pros and celebrity oafs of the popular TV series “Dancing With the Stars.”
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She was The New Yorker’s dance critic from 1998 to 2019 and freelanced for The
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Review for 33 years. Her final articles for The Review were a two-part commentary
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in May on the biography “Mr. B: George Balanchine’s 20th Century,” by Jennifer
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Homans, her successor as The New Yorker’s dance critic.
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“What she wrote for us,” Emily Greenhouse, the editor of The Review, said in an
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email, “was often mischievous and always delicious — on crotch shots and cuss
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words, on Neapolitan hand gestures and Isadora Duncan’s emphasis on the solar
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plexus.”'
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- text: '“That’s what will determine the winners and losers as we get through the
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rest of the holiday season,” Matthew Shay, chief executive of the National Retail
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Federation, a trade group, said on a recent conference call. The N.R.F. kept its
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forecast that holiday sales — from Nov. 1 to Dec. 31 — would grow 3 to 4 percent
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this year.
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That forecast isn’t adjusted for inflation. Neither are the early readings of
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sales over the weekend. Mastercard, for example, said sales both in stores and
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online rose 2.5 percent on Nov. 24, from a year earlier. But with consumer goods
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— excluding food and fuel — rising at an annual rate of around 4 percent, that
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suggests that retailers aren’t necessarily moving more merchandise.
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“We think sales were not strong; they were so-so, to the point of being mediocre,”
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said Craig Johnson, the founder of the retail consultancy Customer Growth Partners.
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His firm estimated that sales for the four-day period starting on Black Friday
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and ending on Cyber Monday was $94.2 billion, up about 2.5 percent from last year.
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Like Mastercard’s estimate, the retail consultancy forecast that — adjusted for
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inflation — sales slipped slightly, Mr. Johnson said.
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Some large retailers seem to be prepared for the slowdown in demand. Companies
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like Target and Macy’s have reported that they’ve cut inventory levels in recent
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quarters, and that may put them in a better position to profit even if demand
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is weaker, according to Edward Yruma, an analyst at the investment bank Piper
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Sandler.
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If stores have too much inventory on hand, they may have to cut prices more than
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expected, which would erode their profits.
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“Really for the first time in four quarters, we are seeing retailers get inventories
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better aligned with sales,” Mr. Yruma said. “That’s allowing them to have on-plan
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promotions.”'
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pipeline_tag: text-classification
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inference: false
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base_model: sentence-transformers/paraphrase-mpnet-base-v2
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model-index:
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- name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
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results:
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: Kevinger/hub-report-dataset
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type: Kevinger/hub-report-dataset
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split: test
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metrics:
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- type: accuracy
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value: 0.5138755980861244
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name: Accuracy
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---
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# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
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This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [Kevinger/hub-report-dataset](https://huggingface.co/datasets/Kevinger/hub-report-dataset) dataset that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the Sentence Transformer embedding model. A OneVsRestClassifier instance is used for classification.
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The model has been trained using an efficient few-shot learning technique that involves:
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1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
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2. Training a classification head with features from the fine-tuned Sentence Transformer.
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## Model Details
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### Model Description
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- **Model Type:** SetFit
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- **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
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- **Classification head:** a OneVsRestClassifier instance
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- **Maximum Sequence Length:** 512 tokens
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<!-- - **Number of Classes:** Unknown -->
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- **Training Dataset:** [Kevinger/hub-report-dataset](https://huggingface.co/datasets/Kevinger/hub-report-dataset)
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<!-- - **Language:** Unknown -->
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<!-- - **License:** Unknown -->
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### Model Sources
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- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
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- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.5139 |
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## Uses
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+
### Direct Use for Inference
|
228 |
+
|
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+
First install the SetFit library:
|
230 |
+
|
231 |
+
```bash
|
232 |
+
pip install setfit
|
233 |
+
```
|
234 |
+
|
235 |
+
Then you can load this model and run inference.
|
236 |
+
|
237 |
+
```python
|
238 |
+
from setfit import SetFitModel
|
239 |
+
|
240 |
+
# Download from the 🤗 Hub
|
241 |
+
model = SetFitModel.from_pretrained("Kevinger/setfit-hub-multilabel-example")
|
242 |
+
# Run inference
|
243 |
+
preds = model("WESTFIELD - The St. Mary’s High School boys basketball team may have just found their secret weapon or at least one of them.
|
244 |
+
|
245 |
+
St. Mary’s guard-forward Patryk Lech scored 14 points, including three 3-pointers to help the Saints stop a two-game slide and turn back Pioneer Valley Christian Academy, 55-32, Wednesday night at Westfield Intermediate School.")
|
246 |
+
```
|
247 |
+
|
248 |
+
<!--
|
249 |
+
### Downstream Use
|
250 |
+
|
251 |
+
*List how someone could finetune this model on their own dataset.*
|
252 |
+
-->
|
253 |
+
|
254 |
+
<!--
|
255 |
+
### Out-of-Scope Use
|
256 |
+
|
257 |
+
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
258 |
+
-->
|
259 |
+
|
260 |
+
<!--
|
261 |
+
## Bias, Risks and Limitations
|
262 |
+
|
263 |
+
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
264 |
+
-->
|
265 |
+
|
266 |
+
<!--
|
267 |
+
### Recommendations
|
268 |
+
|
269 |
+
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
270 |
+
-->
|
271 |
+
|
272 |
+
## Training Details
|
273 |
+
|
274 |
+
### Training Set Metrics
|
275 |
+
| Training set | Min | Median | Max |
|
276 |
+
|:-------------|:----|:---------|:-----|
|
277 |
+
| Word count | 22 | 396.7188 | 2161 |
|
278 |
+
|
279 |
+
### Training Hyperparameters
|
280 |
+
- batch_size: (8, 8)
|
281 |
+
- num_epochs: (1, 1)
|
282 |
+
- max_steps: -1
|
283 |
+
- sampling_strategy: oversampling
|
284 |
+
- num_iterations: 20
|
285 |
+
- body_learning_rate: (2e-05, 2e-05)
|
286 |
+
- head_learning_rate: 2e-05
|
287 |
+
- loss: CosineSimilarityLoss
|
288 |
+
- distance_metric: cosine_distance
|
289 |
+
- margin: 0.25
|
290 |
+
- end_to_end: False
|
291 |
+
- use_amp: False
|
292 |
+
- warmup_proportion: 0.1
|
293 |
+
- seed: 42
|
294 |
+
- eval_max_steps: -1
|
295 |
+
- load_best_model_at_end: False
|
296 |
+
|
297 |
+
### Training Results
|
298 |
+
| Epoch | Step | Training Loss | Validation Loss |
|
299 |
+
|:------:|:----:|:-------------:|:---------------:|
|
300 |
+
| 0.0031 | 1 | 0.1242 | - |
|
301 |
+
| 0.1562 | 50 | 0.1143 | - |
|
302 |
+
| 0.3125 | 100 | 0.1023 | - |
|
303 |
+
| 0.4688 | 150 | 0.0108 | - |
|
304 |
+
| 0.625 | 200 | 0.0021 | - |
|
305 |
+
| 0.7812 | 250 | 0.0005 | - |
|
306 |
+
| 0.9375 | 300 | 0.001 | - |
|
307 |
+
|
308 |
+
### Framework Versions
|
309 |
+
- Python: 3.10.12
|
310 |
+
- SetFit: 1.0.3
|
311 |
+
- Sentence Transformers: 2.3.0
|
312 |
+
- Transformers: 4.35.2
|
313 |
+
- PyTorch: 2.1.0+cu121
|
314 |
+
- Datasets: 2.16.1
|
315 |
+
- Tokenizers: 0.15.1
|
316 |
+
|
317 |
+
## Citation
|
318 |
+
|
319 |
+
### BibTeX
|
320 |
+
```bibtex
|
321 |
+
@article{https://doi.org/10.48550/arxiv.2209.11055,
|
322 |
+
doi = {10.48550/ARXIV.2209.11055},
|
323 |
+
url = {https://arxiv.org/abs/2209.11055},
|
324 |
+
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
|
325 |
+
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
|
326 |
+
title = {Efficient Few-Shot Learning Without Prompts},
|
327 |
+
publisher = {arXiv},
|
328 |
+
year = {2022},
|
329 |
+
copyright = {Creative Commons Attribution 4.0 International}
|
330 |
+
}
|
331 |
+
```
|
332 |
+
|
333 |
+
<!--
|
334 |
+
## Glossary
|
335 |
+
|
336 |
+
*Clearly define terms in order to be accessible across audiences.*
|
337 |
+
-->
|
338 |
+
|
339 |
+
<!--
|
340 |
+
## Model Card Authors
|
341 |
+
|
342 |
+
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
|
343 |
+
-->
|
344 |
+
|
345 |
+
<!--
|
346 |
+
## Model Card Contact
|
347 |
+
|
348 |
+
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
|
349 |
+
-->
|
config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "sentence-transformers/paraphrase-mpnet-base-v2",
|
3 |
+
"architectures": [
|
4 |
+
"MPNetModel"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-05,
|
15 |
+
"max_position_embeddings": 514,
|
16 |
+
"model_type": "mpnet",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 1,
|
20 |
+
"relative_attention_num_buckets": 32,
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.35.2",
|
23 |
+
"vocab_size": 30527
|
24 |
+
}
|
config_sentence_transformers.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"__version__": {
|
3 |
+
"sentence_transformers": "2.0.0",
|
4 |
+
"transformers": "4.7.0",
|
5 |
+
"pytorch": "1.9.0+cu102"
|
6 |
+
}
|
7 |
+
}
|
config_setfit.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"labels": null,
|
3 |
+
"normalize_embeddings": false
|
4 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3afe5752c72c53c1c82d1aed70e1968c26fc67c22c817ff832e78f33189e6e30
|
3 |
+
size 437967672
|
model_head.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d41dac8b1223de9ecddb871fe802f1bb407da37f4b164695964367a4656b52f0
|
3 |
+
size 52836
|
modules.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[
|
2 |
+
{
|
3 |
+
"idx": 0,
|
4 |
+
"name": "0",
|
5 |
+
"path": "",
|
6 |
+
"type": "sentence_transformers.models.Transformer"
|
7 |
+
},
|
8 |
+
{
|
9 |
+
"idx": 1,
|
10 |
+
"name": "1",
|
11 |
+
"path": "1_Pooling",
|
12 |
+
"type": "sentence_transformers.models.Pooling"
|
13 |
+
}
|
14 |
+
]
|
sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"cls_token": {
|
10 |
+
"content": "<s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"eos_token": {
|
17 |
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"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"mask_token": {
|
24 |
+
"content": "<mask>",
|
25 |
+
"lstrip": true,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"pad_token": {
|
31 |
+
"content": "<pad>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"sep_token": {
|
38 |
+
"content": "</s>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": true,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false
|
43 |
+
},
|
44 |
+
"unk_token": {
|
45 |
+
"content": "[UNK]",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false
|
50 |
+
}
|
51 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
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|
3 |
+
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|
4 |
+
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|
5 |
+
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|
6 |
+
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|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
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|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"104": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"30526": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "<s>",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "<s>",
|
47 |
+
"do_basic_tokenize": true,
|
48 |
+
"do_lower_case": true,
|
49 |
+
"eos_token": "</s>",
|
50 |
+
"mask_token": "<mask>",
|
51 |
+
"model_max_length": 512,
|
52 |
+
"never_split": null,
|
53 |
+
"pad_token": "<pad>",
|
54 |
+
"sep_token": "</s>",
|
55 |
+
"strip_accents": null,
|
56 |
+
"tokenize_chinese_chars": true,
|
57 |
+
"tokenizer_class": "MPNetTokenizer",
|
58 |
+
"unk_token": "[UNK]"
|
59 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|