metadata
library_name: setfit
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
datasets:
- Kevinger/hub-report-dataset
metrics:
- accuracy
widget:
- text: >-
A 16-acre property once home to the long-shuttered Foxborough State
Hospital will soon provide housing for 141 low-income senior households.
Walnut Street, an affordable housing project being developed by the
Affordable Housing Services Collaborative and Onyx, will turn land that
has been vacant for decades into much-needed affordable housing.
“Housing is empowering. No matter our age, it is a comfort not to worry
about whether we can afford a place,” Onyx CEO Chanda Smart said at a
press conference Thursday. “Senior housing for the town of Foxborough
means that seniors who worked and raised their families here in Foxborough
still have the opportunity to remain here.”
Foxborough State Hospital opened in 1889 as the Massachusetts Hospital for
Dipsomaniacs and Inebriates for treatment of alcoholism, according to the
National Park Service, and was later converted to a standard psychiatric
hospital. It closed in 1975, and parts of the property have already been
redeveloped over the years.
The Foxborough Housing Authority first began working on the project back
in 2011. The land was transferred to the agency from the state in 2017 to
be used for affordable housing.
Acting Town Manager Paige Duncan told MassLive that the town held a number
of community meetings to decide what to build on the property.
“It was controversial, but what came out was a clear support for senior
housing,” she said. “We really tried to address the needs of the community
and we came up with a project that was sensitive to the area. We didn’t
want a big block of buildings that towered over the neighborhood.”
After that, she said, there was overwhelming support for the project. The
permits were filed in February and approved by April, an almost unheard-of
timeline.
The finished project will provide 141 new apartments for residents age 55
and over. Of those, 35 will be reserved for people making 30% or less of
the area median income, and 85 will be for those making 60% AMI.
Foxborough residents will be given preference for 70% of the units.
A second phase of the project once this one is complete will add
approximately 60 more units.
Greg Spiers, chairman of the Housing Authority, said the new senior
housing was badly needed, noting there are about 5,500 elderly and
disabled people on public housing waiting lists in Massachusetts.
“With 195 of those on that list Foxborough residents, that 70% local
preference for first-time rentals is one of our goals,” he said. “The need
is so great for affordable housing in our area and the entire state.”
Housing and Livable Communities Secretary Ed Augustus praised the town for
its dedication to creating more affordable housing, even though more than
10% of its total housing units qualify as affordable. The 10% threshold is
the state requirement to stop projects being filed under Chapter 40B, a
law which allows affordable housing developments to bypass certain local
permitting requirements.
“You know that that is just an arbitrary number, but the real needs are
significantly more than that,” Augustus said. “We need more communities to
take note of what Foxborough is doing.”
Lt. Gov. Kim Driscoll said the project is a good example of the use of
surplus state land for housing. Gov. Maura Healey’s housing bond bill
filed in October included a proposed $30 million that would support
similar projects to use underutilized state property for housing. Healey
also issued an executive order requesting state agencies to conduct an
audit of their property to find land any surplus land suitable for this
purpose.
“Converting state-owned land to another entity can be a little bit of a
torturous pathway. We know that building all the resources you need takes
time,” Driscoll said Thursday. “How do we leverage the cost of land, which
is one of the reasons housing is so expensive, to build the type of
housing we need, but do it in a shorter timetable? That’s what this
(project) is all about.”
The project has received more than $25 million in state and federal
funding, including through American Rescue Plan Act rental funds and state
and federal Low Income Housing Tax Credits. Work on the site has not yet
started.
- text: >-
“I was on my co-op last year for, like, a straight year, so coming back to
campus feels kind of nerve-wracking,” said Jasmine Rodriguez, 21. “But I
feel more experienced than I did in my first year. I had a lot of anxiety
in my first year, but now it’s been really chill.”
As about a dozen Northeastern University students went around a conference
table talking about their college experiences, voices were soft and
answers halting, at least initially. Gradually, though, the students at
this check-in meeting last fall began to open up and speak candidly about
the challenges and adjustments of college life.
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The students were Black, Latino, and Asian American and ranged from
first-years to seniors, mostly from neighborhoods across Boston; the
majority were the first generation of their family to attend college. Most
were their high schools’ valedictorians — hardworking, smart students who
excelled despite lacking the advantages of many peers.
That’s where The Valedictorian Project came in.
The Boston-based nonprofit was founded in 2020 in response to the Boston
Globe’s award-winning 2019 investigative series, The Valedictorians
Project, which found that the city’s best and brightest public school
students often encounter major obstacles to their academic and
professional goals. (The Globe is not involved with the organization.)
The Valedictorian Project matches participating high school graduates with
peer mentors close to their age and a senior mentor who is an experienced
professional in their intended line of work. It also provides a $500
stipend for books and other necessities, and supplemental support through
partnerships with other organizations to help students navigate their new
lives on campus and choose career paths.
“Many of our mentors are first-gen college students themselves,” cofounder
and executive director Amy McDermott said in an interview. “Many navigated
very similar personal backgrounds to our mentees. I hear often in our
mentor interviews, they want to be that person that they wish they had in
navigating college.”
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This academic year marks a milestone for the organization, as its first
cohort of college freshmen are now seniors.
McDermott said the organization began by inviting Boston valedictorians to
participate in its first year, then added students from Lawrence in year
two, Brockton and Worcester in 2022, and Chelsea last spring.
Jasmine Rodriguez took part in a roundtable discussion at Northeastern
University for students participating in The Valedictorian Project.
Jonathan Wiggs/Globe Staff
Mentor John Marley, 30, of Taunton, said the organization helps level the
playing field for young people who don’t come from privileged backgrounds.
“Students from wealthier families have always had these mentorship
relationships, always had these connections, and those things are just
unseen,” said Marley, an attorney whose family came to the United States
from Jamaica when he was 5. “Unfairly or not ... it’s always advantaged a
particular group and class of students over another. And I think they do a
good job addressing that.”
This academic year, The Valedictorian Project is supporting 140 students,
of whom about three-quarters are first-generation college students and
roughly 85 percent are people of color, according to McDermott. Besides
Northeastern, students in the program attend Boston University, Harvard,
MIT, Tufts, Brown, Yale, Stanford, and other colleges around the country,
she said.
As a student of color at an expensive private university, Rodriguez said,
“You have to physically go out and try to find people that look like you.
And I feel like for everyone else, it’s very easy. They find them in their
classes. But it’s like, in my classes there’ll be like one other Black or
Hispanic person.”
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Rodriguez, a Dorchester native majoring in communications and sociology,
recently spent a year as a social media co-op for an organization that
supports domestic violence victims. She is drawn to work that will help
others, she said, because she saw people in need in her neighborhood and
her own family as she grew up.
“I saw a lot of people that look like me struggle and go through a lot of
things,” she said. “My mom is an immigrant. … We grew up on Section 8
[housing assistance]; we grew up on food stamps and stuff like that.”
Ciana Omnis participated in a Northeastern University roundtable
discussion for students participating in The Valedictorian Project.
Jonathan Wiggs/Globe Staff
Ciana Omnis, 20, a third-year industrial engineering major who grew up in
Florida, moved to Dorchester at age 14, and was the 2021 valedictorian at
Brighton High School. She is the eldest of three children, so she can’t
lean on older siblings for advice, she said.
Her father, a truck driver who immigrated to the United States from Haiti,
didn’t complete high school, she said, while her mother, a health care
administrator, completed an associate’s degree but doesn’t yet have her
bachelor’s.
“I’ve met a lot of people in college who have parents who have done
four-year degrees or whatnot, or even other kinds of higher education, so
they’re able to get advice from their parents,” Omnis said. “For me, it’s
been a bit harder, because I have to kind of figure out certain things on
my own.”
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Her mentors help fill that gap, she said, and the program helps her “meet
other people who have the same background as me.”
After they met through a Valedictorian Project event, John Le, who was the
2022 valedictorian at East Boston High School, became friends with Connor
Lashley, the 2022 valedictorian at Jeremiah E. Burke High School in
Dorchester.
“One of the issues is socializing, like making a friend group, because
from my experience, from each class you kind of like meet people there,
but if you’re not in the same major, you might not be able to maintain a
relationship with them,” said Le, 20.
The Valedictorian Project, he added, “has really been helpful to meet
people at Northeastern and ... find people with similar interests.”
Lashley, 19, said his mentors have helped him learn how to network with
others in his field and steered him toward scholarship opportunities, and
he can count on their support whenever he needs it.
“They’re pretty much available the same day if stuff comes up,” he said.
Connor Lashley (left) and John Le took part in a roundtable discussion at
Northeastern University for students participating in The Valedictorian
Project. Jonathan Wiggs/Globe Staff
Jeremy C. Fox can be reached at jeremy.fox@globe.com. Follow him
@jeremycfox.
- text: >-
LEVERETT — Dakin Humane Society announced Wednesday that it has sold its
former animal shelter at 63 Montague Road in Leverett to Better Together
Dog Rescue.
The news release didn’t include a sales price for the 3,480-square-foot
building on 5 acres of land.
But records at the Franklin County Registry of Deeds show the sale was for
$575,000.
- text: >-
Joan Acocella, a cultural critic whose elegant, erudite essays about dance
and literature appeared in The New Yorker and The New York Review of Books
for more than four decades, died on Sunday at her home in Manhattan. She
was 78.
Her son, Bartholomew Acocella, said the cause was cancer.
Ms. Acocella (pronounced ack-ah-CHELL-uh) wrote deeply about dancers and
choreographers, including Mikhail Baryshnikov, Suzanne Farrell and George
Balanchine. She scrutinized the vicissitudes of the New York City Ballet
as well as the feats of the ballroom-dancing pros and celebrity oafs of
the popular TV series “Dancing With the Stars.”
She was The New Yorker’s dance critic from 1998 to 2019 and freelanced for
The Review for 33 years. Her final articles for The Review were a two-part
commentary in May on the biography “Mr. B: George Balanchine’s 20th
Century,” by Jennifer Homans, her successor as The New Yorker’s dance
critic.
“What she wrote for us,” Emily Greenhouse, the editor of The Review, said
in an email, “was often mischievous and always delicious — on crotch shots
and cuss words, on Neapolitan hand gestures and Isadora Duncan’s emphasis
on the solar plexus.”
- text: >-
StreetsblogMASS relies on the generous support of readers like you. Help
us meet our year-end fundraising goals – give today!
Last week, the labor union that represents most Boston police officers
ratified a new contract that will introduce a number of reforms –
including one that will start allowing civilians to take unwanted traffic
detail shifts at construction sites.
Under the former contract, Boston Police officers were the only people
allowed to direct traffic for events and at construction sites. And they
got paid extremely handsomely to do so: Boston police working as flaggers
take home $60 an hour.
In spite of that lucrative pay, Boston has a lot of construction sites,
and fewer and fewer people who want to wear a police uniform.
Boston City Councilor Kendra Lara told StreetsblogMASS earlier this year
that over 40 percent of requests for police details at construction sites
were going unfilled.
The new labor contract removes a key barrier to reforming this system. But
there is still a city ordinance on the books that requires at least one
Boston Police officer at every city construction site "to protect the
safety and general welfare of the public and to preserve the free
circulation of traffic."
A press spokesperson for Mayor Michelle Wu told StreetsblogMASS last week
that their office is aware of the ordinance and has "identified multiple
legal paths to implementing the new collective bargaining agreement."
Old rules created absurd delays for street projects
Councilor Lara also told StreetsblogMASS that many privately-run
construction sites will simply ignore the law and do their work without a
flagger if nobody responds to their requests for a detail.
But construction firms who are sticklers for the rules can end up waiting
months before a cop shows up to let them get their work done.
That's what happened earlier this year in Oak Square, where the MBTA
waited a full year for a police detail to show up so that they could paint
some new crosswalks on Washington Street in Oak Square.
Neighbors report that those crosswalks finally got painted in August –
after a year-long wait.
New contract hikes pay, allows civilian flaggers
For all these reasons, allowing civilian flaggers at construction sites
had been one of the city's key points of negotiation for a new collective
bargaining agreement with its police union.
Police details will still be required at "high-priority" events and
construction sites, which involve major streets, busy intersections, or
major events that anticipate over 5,000 attendees. The new contract would
also pay cops who work those high-priority details "the highest overtime
rate of the most senior officer."
At other worksites, such as those along quiet neighborhood streets, Boston
Police would still get the right of first refusal to fill traffic details.
But if no Boston Police are interested, the work can be offered to other
non-BPD certified officers, including campus police and retired Boston
cops. If people with those qualifications still aren't interested,
construction contractors can then offer the job to civilian workers.
The agreement further specifies that anyone directing traffic in those
lower-priority sites will earn $60 per hour.
The new agreement will also ban cops from double-booking their shifts,
which allowed some to get paid twice for the same period of time when one
detail ended early.
Incredibly, the police department is still using a labor-intensive
paper-based system to assign details in each police district. The new
agreement will allow for a citywide electronic scheduling system.
pipeline_tag: text-classification
inference: false
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index:
- name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Kevinger/hub-report-dataset
type: Kevinger/hub-report-dataset
split: test
metrics:
- type: accuracy
value: 0.6529242569511026
name: Accuracy
SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a SetFit model trained on the Kevinger/hub-report-dataset dataset that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A OneVsRestClassifier instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
- Fine-tuning a Sentence Transformer with contrastive learning.
- Training a classification head with features from the fine-tuned Sentence Transformer.
Model Details
Model Description
- Model Type: SetFit
- Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2
- Classification head: a OneVsRestClassifier instance
- Maximum Sequence Length: 512 tokens
- Training Dataset: Kevinger/hub-report-dataset
Model Sources
- Repository: SetFit on GitHub
- Paper: Efficient Few-Shot Learning Without Prompts
- Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts
Evaluation
Metrics
| Label | Accuracy |
|---|---|
| all | 0.6529 |
Uses
Direct Use for Inference
First install the SetFit library:
pip install setfit
Then you can load this model and run inference.
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("Kevinger/setfit-hub-multilabel-example")
# Run inference
preds = model("LEVERETT — Dakin Humane Society announced Wednesday that it has sold its former animal shelter at 63 Montague Road in Leverett to Better Together Dog Rescue.
The news release didn’t include a sales price for the 3,480-square-foot building on 5 acres of land.
But records at the Franklin County Registry of Deeds show the sale was for $575,000.")
Training Details
Training Set Metrics
| Training set | Min | Median | Max |
|---|---|---|---|
| Word count | 53 | 386.3906 | 2161 |
Training Hyperparameters
- batch_size: (8, 8)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- num_iterations: 75
- body_learning_rate: (2e-05, 2e-05)
- head_learning_rate: 2e-05
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
Training Results
| Epoch | Step | Training Loss | Validation Loss |
|---|---|---|---|
| 0.0008 | 1 | 0.1304 | - |
| 0.0417 | 50 | 0.1596 | - |
| 0.0833 | 100 | 0.132 | - |
| 0.125 | 150 | 0.0064 | - |
| 0.1667 | 200 | 0.0017 | - |
| 0.2083 | 250 | 0.0004 | - |
| 0.25 | 300 | 0.0001 | - |
| 0.2917 | 350 | 0.0002 | - |
| 0.3333 | 400 | 0.0003 | - |
| 0.375 | 450 | 0.0002 | - |
| 0.4167 | 500 | 0.0001 | - |
| 0.4583 | 550 | 0.0002 | - |
| 0.5 | 600 | 0.0002 | - |
| 0.5417 | 650 | 0.0002 | - |
| 0.5833 | 700 | 0.0001 | - |
| 0.625 | 750 | 0.0001 | - |
| 0.6667 | 800 | 0.0001 | - |
| 0.7083 | 850 | 0.0001 | - |
| 0.75 | 900 | 0.0 | - |
| 0.7917 | 950 | 0.0001 | - |
| 0.8333 | 1000 | 0.0001 | - |
| 0.875 | 1050 | 0.0001 | - |
| 0.9167 | 1100 | 0.0001 | - |
| 0.9583 | 1150 | 0.0 | - |
| 1.0 | 1200 | 0.0001 | - |
Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 2.3.1
- Transformers: 4.35.2
- PyTorch: 2.1.0+cu121
- Datasets: 2.17.0
- Tokenizers: 0.15.2
Citation
BibTeX
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}