Add new SentenceTransformer model

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+    "word_embedding_dimension": 768,
+    "pooling_mode_cls_token": false,
+    "pooling_mode_mean_tokens": true,
+    "pooling_mode_max_tokens": false,
+    "pooling_mode_mean_sqrt_len_tokens": false,
+    "pooling_mode_weightedmean_tokens": false,
+    "pooling_mode_lasttoken": false,
+    "include_prompt": true
+}

README.md

@@ -0,0 +1,834 @@
+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- dense
+- generated_from_trainer
+- dataset_size:10000
+- loss:DenoisingAutoEncoderLoss
+base_model: google-bert/bert-base-uncased
+widget:
+- source_sentence: . the land and management meeting of 5th is 7:01 the order Um,
+    is roll . we have us, Nicole, and, . Uh, the is the of of October, . Do have,,
+    are there any, All right,, all favor approving your that is Um to participation
+    Is would like see Miss> hear>> Yes,>>,>, so I'm sorry uh echoing? we . We hear
+    little echo, but we you . Uh f first all, record, Diane Uh
+  sentences:
+  - 'All right. Good evening and welcome to
+
+    the land use and building management
+
+    committee meeting of November 5th, 2025. It is 7:01 and I am calling the meeting
+
+    to order. Um, first item is roll call. Tonight we have with us council members
+
+    Jim Fyer, Nicole Edy, Nicole Ays, and
+
+    myself, Barbara Smith. Uh, next item on the agenda is the
+
+    acceptance of the minutes of our meeting
+
+    of October 1, 2025. Do I have a motion,
+
+    Miss Edy, um, are there any corrections,
+
+    All right, seeing none, all in favor of
+
+    approving the minutes, please raise your
+
+    Okay, that is unanimous. Um, moving on to public participation. Is there anyone
+
+    here who would like to speak? I see Miss
+
+    >> Yes, good. Can you hear me? >> Yes, we can. >> Yes, we can. >> I am in a hallway,
+    so I''m sorry for any
+
+    uh echoing. I hope it''s Can you still
+
+    understand me? >> Yes, we can. We hear a little echo, but
+
+    we can still hear you. Uh anyway, f first of all, good evening. For the record,
+    my name is Diane
+
+    Laurisella. Uh'
+  - I'll now call to order the November 6, 2025 meeting of Mayor and Council. I'm
+    going to call on the Mayor Pro Tem Andy Gibbs to lead us in prayer. Please remain
+    standing for the pledge. Body heads, please. Dear me, Father, just thank you for
+    this evening. Thank you for bringing us all together. Lord, I just ask you that
+    as we look at the different things on our agenda tonight, that you help us to
+    make the best decision for our community to move to move our community forward.
+    Lord, I just ask you, Lord, to continue to put your arms around us for protection.
+    To put your arms around us, your protection. I thank you, Lord, for sending your
+    son to die on the cross for our sins, Lord. I thank you for the things that you've
+    given us in our life, the mercy of the grace that you've extended to us each and
+    every day to allow us to be able to wake up and walk among other people and help
+    us to serve others as you want us to serve, Lord. And I thank you for everything
+    you do for us. Your name, I pra
+  - In the NOSERT room today, the link can be found on the Town of Orleans website.
+    And calling the meeting to order. Any agenda changes? None this evening, this
+    afternoon, sorry. Is there anyone for citizens speak? No one additional online.
+    Okay, seeing none, we're going to go into priority business and we are going to
+    start with our assistant superintendent. Wonderful. Thank you very much. Thank
+    you. So I'm here today to share two things, our homeschooling process and then
+    just an update on our grant. We can't hear you. Yeah. So sorry to enter. I was
+    just going to interrupt. Just make sure that you pull this mic up and for everybody.
+    Is this better? Okay, Parker. Sorry about that. Sorry. So I'm here today. Thank
+    you for that. Just to talk about our homeschooling process and our grant process
+    as well. So I'll go over our homeschooling process. I know of detailed information
+    in the memo and I've included some links to our forms so you'll be able to see
+    it and I'll just give a high-level ov
+- source_sentence: Um, and think these looking perhaps some feedback from what issues
+    that need And you know just a the formula ., it based did work 1990 so and've
+    and that address then uh they did student act was meant uh needs your communities
+    urban Right now though large with towns . where are being because need of bill
+    . especially the you'm to little . when hold harmless and you it certified would
+    t
+  sentences:
+  - 'Um, and so I think these are the minds
+
+    that they''re looking to perhaps get some
+
+    feedback from about what are the the
+
+    issues that need to be tackled. And I
+
+    think that, you know, just a couple
+
+    things about the funding formula. Look,
+
+    it''s based based they did the work back
+
+    in 1990 or so and they''ve made
+
+    adjustments and they''ve made made
+
+    probably two I think primary adjustments
+
+    since that time. One was to address
+
+    vocational needs and then uh they did
+
+    the student opportunity act which was
+
+    meant to address uh the needs of
+
+    students in uh your gateway communities
+
+    in urban areas. Right now though,
+
+    there''s a large contingent of districts
+
+    in with towns such as Rutland, Paxton,
+
+    Hold it. Um where they are being asked
+
+    because of this old formula, you need to
+
+    put more of the bill. Um and then
+
+    especially in the context, and I know
+
+    you asked this question, I''m going to
+
+    talk about it a little bit. Um when
+
+    districts fall into hold harmless, and
+
+    you know, it hasn''t been certified
+
+    officially, but I would t'
+  - 'Good evening and welcome to the uh
+
+    November 5th board meeting of the Topeka
+
+    Development Corporation Board of
+
+    Directors. I''ll call this meeting to
+
+    If we could stand for the pledge of
+
+    allegiance, please. I pledge algiance to the flag of the
+
+    United States of America and to the
+
+    republic for which it stands. One nation
+
+    under God, indivisible, with liberty and
+
+    justice for all. >> Okay. Madame clerk, could call the role,
+
+    >> President Padilla,
+
+    >> here. Vice President Dolbler
+
+    >> Directors Hiller
+
+    >> here. Banks
+
+    and Hoer
+
+    >> All right. We have seven present. Seven present. We''ll move on to item
+
+    number four on the agenda. Madam Clerk,
+
+    >> for approval of the August 12, 2025
+
+    meeting minutes. >> Okay. I hope uh everyone has had an
+
+    opportunity to look at the minutes
+
+    from August meeting. >> Motion to approve by Councilman Banks,
+
+    second by Councilman Miller. Take the
+
+    roll call, please. >> All right. Uh President Padilla
+
+    >> here. I Yes. Vic'
+  - You seem loud today. All right, it's 8 a.m. I'll go ahead and call this meeting
+    to order. Today is Tuesday, November 8th, the meeting in the formal boardroom
+    with the Genoaxi Public Service Center. First on our agenda are minutes. We have
+    none and no claims. All right, great. We'll move right into our regular agenda.
+    The board will meet with elected officials and the department heads discuss the
+    following topics. We'll start with fiscal year 2027 budget calendar initiatives
+    and guidelines. Good morning, Sarah. Good morning, Sarah Barrows, Budget Director.
+    The board asked that we just go over a few things for the FY27 budget. Kind of
+    hard to believe we're already there, but it is time. We met yesterday with the
+    board and talked about some guidelines and initiatives that they could include
+    for the FY27 budget. A lot of them you'll be very familiar with. 25% ending fund
+    balance, things like that. The one thing that they have yet to discuss tomorrow
+    is the placeholder that we'll include fo
+- source_sentence: we're of . That is year a good time, think's . So let's get back
+    So we're having it quickly first ring . think they got the picture . I if of know
+    we're to go this Each and every have the handout given you, City of Ridge fiscal
+    year 2026 . If, . You again,'ll revising it You guys will of next with Mandy,
+    there anything we need do Speak Mandy got a said ca us sorry Council disagrees
+    me you scheduled to adopt a 2026
+  sentences:
+  - 'So, I''d like to make a motion to come
+
+    out of non-public session. >> Okay, we have a motion to come out of
+
+    non-public and a second. All in favor? I
+
+    >> opposed. Okay, motion carries. 70. >> Um, and I''d also like to make a motion
+
+    to seal the minutes indefinitely. >> Second that. >> Motion to seal the minutes
+    indefinitely
+
+    and a second. Uh, all in favor? Any
+
+    Great. Motion carry 70. >> Good evening. Welcome to the Jerry Town
+
+    Council meeting for Tuesday, November
+
+    4th, 2025. >> Mr. Chair, excuse me. If we could make
+
+    sure everyone''s microphone is turned on,
+
+    green light at the base of the stem. Thank you. >> Everyone''s microphone on.
+    >> All right. council Spencer, please lead us pledge
+
+    algiance to the flag of the United
+
+    States of America to the republic for it
+
+    stands one nation
+
+    indivisible with liberty and justice for
+
+    >> Thank you. Uh, prevent emergency exits
+
+    in the back of the room. Mr. The Havens
+
+    are glad to help you. Um,
+
+    do a roll ca'
+  - 'I pledge allegiance to the flag of the
+
+    United States of America to the republic
+
+    for it stands one nationy
+
+    and justice for all. Please remain standing for a moment of
+
+    silent reflection for all the service
+
+    men and women throughout the world and
+
+    for those who have passed away in our
+
+    community, especially our former mayor,
+
+    David J. Wenszel. Thank you. >> Roll call, please. >> Mr. King,
+
+    >> Mr. Schuster,
+
+    >> Dr. Mr. Rothschild
+
+    >> Mr. McCandrew
+
+    >> Mr. Small
+
+    >> Dispatch with three of the minutes. >> Third order 3A correspondence dated
+
+    October 28th, 2025 from the Interite
+
+    Bike Coalition Executive Director Kuba
+
+    James regarding support for the downtown
+
+    Scranton Walkability Streetscape
+
+    project. 3B. Letters of support from
+
+    local businesses for the walkability and
+
+    streetscape project ordinances. 3C. Letter from Fire Tree Limited received
+
+    October 27th, 2025 regarding residential
+
+    re-entry center services. >> Are there any comments on any of the
+
+    thir'
+  - Yeah, we're kind of talking about everything. That is. Any time of the year is
+    a good time to catch fish. Okay, I think it's been about five minutes. So let's
+    get started back. So we're having one next one. We're doing it quickly. So this
+    is the first ring. I think they got the picture. Okay. Okay, I think if you can
+    just kind of, I know we're not going to go over this. Each and every one of you
+    in here should have the handout that's given to you, which says, City of Blue
+    Ridge, proposed fiscal year budget for 2026. If you will, please take the opportunity.
+    You know, this is, again, we'll be revising it. You guys will at the beginning
+    of next year, hopefully, with better numbers. Mandy, is there anything we need
+    to do with this tonight? Speak into the microphone, Mandy. I got a phone call
+    that said they can't hear us. I'm sorry. Council does have an option, unless Chuck
+    disagrees with me. I'm sorry to put you on the spot. You are scheduled to adopt
+    a 2026 budget next week. I believe, I
+- source_sentence: The City Buffalo Planning ⚫ November 17, NY 14202 http //www.buffalony.gov
+    Morrell Regular Planning Board 4:00 PM Hall, Sq., NY . called order 4:06 PM by
+    Vice Chairman Schwartz Name Absent   Cynthia Schwartz  Martha Scott Billman
+     Arthur      Samantha  Meeting be Via Videoconferencing and Anyone Wishes
+    912 City or Videoconferencing ., or Call 1-415-655-0001 Meeting 173 2665 Password
+    PublicComment (Not for) II . Approval of Minutes 1 . - Meetin
+  sentences:
+  - "THE CITY OF BUFFALO \n \nThe City of Buffalo Planning Board \n912 City Hall \n\
+    Minutes ⚫ November 17, 2025 \n \nBuffalo, NY 14202 \n \n \nhttp://www.buffalony.gov\
+    \ \n \n \nJames Morrell \nRegular Planning Board Meeting \nOSP Conference Room\
+    \ \n4:00 PM \n \n912 City Hall, 65 Niagara Sq., Buffalo, NY 14202 \nI. Call to\
+    \ Order \n The meeting was called to order at 4:06 PM by Vice Chairman Cynthia\
+    \ Schwartz \nAttendee Name \nPresent \nAbsent \nLate \nArrived \nJames Morrell\
+    \ \n \n \n \n \nCynthia Schwartz \n \n \n \n \nMartha Lamparelli \n \n\
+     \n \n \nScott Billman \n \n \n \n \nArthur Hall \n \n \n \n \nLen Sciolino\
+    \ \n \n \n \n \nSamantha Soltis \n \n \n \n \nThis Meeting Will be Held\
+    \ Via Videoconferencing and In-Person. Anyone who Wishes to Attend \nMay Do So\
+    \ in Room 912 City Hall or Via Videoconferencing. to Join Online, Go to \nWww.Webex.Com\
+    \ or Call 1-415-655-0001; Meeting Number 173 504 2665 Password: \nPublicComment\
+    \ (Not Required for Phone) \nII. Approval of Meeting Minutes \n1. Planning Board\
+    \ - Regular Planning Board Meetin"
+  - 'p.m. and I''m calling the Hamilton
+
+    Planning Board meeting to order. This meeting is being recorded. Uh to aid the
+    transcriptionist, I''m
+
+    going to take roles. So when I call your
+
+    name, would you please indicate that
+
+    you''re present? Pat Norton,
+
+    >> Jonathan Poor,
+
+    >> Jonathan Poor, present. >> Amal Dawquist,
+
+    >> Amal Dawquist, present. >> Darcy Dale,
+
+    >> Darcy Dale, present. >> And Marne Crouch, present. And I note
+
+    for the record that Beth her is absent. Um, her father passed away and we''re
+
+    very sorry to hear that. And, uh,
+
+    perhaps Bill uh will uh appear. I know
+
+    Matt Hamill, he was on the Cape, right? It''s unlikely he''ll be here and I don''t
+
+    believe we''ve heard from Jeff Austin. >> Uh the first item on our agenda is to
+
+    review the minutes from October 21st. Um
+
+    do I have a motion to approve those uh
+
+    >> So So moved. >> Do I have a second? Any discussion about
+
+    the minutes? >> Uh Darcy, I think you found a few typos. Yeah, just a coup'
+  - 'We the citizens of the city of Gilroy as
+
+    we come to this room tonight as a
+
+    complex human crowd carrying burdens,
+
+    hope, joy, and trusting that you alone
+
+    can hold us together. God, we pray for
+
+    your love and your peace. Help us to
+
+    trust you, Lord, more than our opinions,
+
+    our fears, and even our accomplishments. May we turn to you for your truth. Lastly,
+    fill us with grace, Lord, as
+
+    these leaders make decisions tonight
+
+    that will affect each one of us. Continue to remind us that all that this
+
+    day is done, all that is done here this
+
+    day and all that is accomplished is for
+
+    the greater glory of you. Please bless
+
+    these proceedings. We ask for these
+
+    things in your name. Amen. Thank you. Thank you, pastor. Moving on to item
+
+    1.6. Six. Orders of the day we have
+
+    none. Moving on to item 1.7, employee
+
+    Finance director Harjo Singha will
+
+    introduce a new employee. Thank you. Thank you, Mayor. Um, tonight I have the
+
+    privilege of introducing Naelli
+
+    Martinez. Uh, she joins us in the
+
+    utility billing team uh'
+- source_sentence: right o'clock Oh Jack here . Man brought team 3rd November . going'll
+    to . We Pledge of and . And we got guests Manager Brantley'll of . the . I appeal
+    flag the United States of and to Republic which,, for . Let . God, come before
+    this grateful live wonderful community We serve our community members in our respective
+    capacities morning and give us eyes and full hearts, Lord, as handle business
+    Thank you your, In Christ name amen Thank Price the pledge . First item is
+  sentences:
+  - All right, it's nine o'clock. Oh, Jack's here too. Man, y'all brought the whole
+    team. 9 o'clock, November 3rd, November already. Gosh. Time keeps on going. We'll
+    call the meeting to order. We'll open with the Pledge of Allegiance and prayer.
+    And since we've got special guests, I'll ask Town Manager Brantley Price if he'll
+    lead us in the Pledge of Allegiance. And I'll say the prayer. I appeal to the
+    flag of the United States of America and to the Republic for which it stands,
+    one nation under God, indivisible, with liberty and justice for all. Let's pray
+    together. God, we come before you this morning with grateful hearts to live in
+    such a wonderful community. We're grateful for the opportunity to serve our community
+    members in our respective capacities here this morning. Be with us and give us
+    clear eyes and full hearts, Lord, as we handle the people's business. Thank you
+    for your many, many blessings. In Christ's name, amen. Amen. Thank you, Manager
+    Price, for the pledge. First item is
+  - 'Notice of Meeting of the
+
+    Planning and Zoning Commission
+
+    of the City of Georgetown, Texas
+
+    November 4, 2025
+
+    The Georgetown Planning and Zoning Commission will meet on November 4, 2025 at
+    6:00 PM at Council
+
+    and Court Building, 510 W. 9th Street. The City of Georgetown is committed to
+    compliance with the Americans with Disabilities Act (ADA). If you
+
+    require assistance in participating at a public meeting due to a disability, as
+    defined under the ADA,
+
+    reasonable assistance, adaptations, or accommodations will be provided upon request.
+    Please contact the
+
+    City Secretary''s Office, at least three (3) days prior to the scheduled meeting
+    date, at (512) 930-3652 or
+
+    City Hall at 808 Martin Luther King Jr. Street, Georgetown, TX 78626 for additional
+    information; TTY users
+
+    route through Relay Texas at 711. Notice of Cancellation
+
+    This regularly scheduled meeting of the Board is cancelled. Please check the posted
+    agendas for next
+
+    month''s meeting. Certificate of Posting
+
+    Certificate of Posting
+
+    I, Robyn'
+  - 'for Wednesday, November 12th
+
+    at 7:05 p.m. What you want? This meeting is being recorded. report anything. I
+    have
+
+    Yeah. agenda
+
+    but there were other items
+
+    >> that didn''t get to this print Right. >> Caught you off guard there. >> I know
+    you did. I''m not. Oh, so it
+
+    worked very well. >> what did what did we end up
+
+    because of the day? >> that''s all right. You''re fine. >> All right. So, we''re
+    still going to go
+
+    a wedding for
+
+    I think we''re gonna
+
+    want to go. All right. No problem. 1.7. First one is Parker Hill
+
+    Well, it''s already been
+
+    Conservation Commission. Yeah. And since it''s not supposed to be
+
+    what snacks,
+
+    >> By the way, I I did autographs. put your
+
+    your name on your agenda and stuff and
+
+    You mind just announcing
+
+    that you''ve arrived and what time? Did provide? Guess we should wait. kind of
+    that was
+
+    >> right. So what doesn''t go into the
+
+    general account instead
+
+    of meeting
+
+    I thought we had a
+
+    Can you read it off? Oh, you
+
+    You just repeat the number.'
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+---
+
+# SentenceTransformer based on google-bert/bert-base-uncased
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+
+## Model Details
+
+### Model Description
+- **Model Type:** Sentence Transformer
+- **Base model:** [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) <!-- at revision 86b5e0934494bd15c9632b12f734a8a67f723594 -->
+- **Maximum Sequence Length:** 256 tokens
+- **Output Dimensionality:** 768 dimensions
+- **Similarity Function:** Cosine Similarity
+<!-- - **Training Dataset:** Unknown -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers)
+- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
+
+### Full Model Architecture
+
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False, 'architecture': 'BertModel'})
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
+)
+```
+
+## 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 SentenceTransformer
+
+# Download from the 🤗 Hub
+model = SentenceTransformer("ar9av/tsdae-civic-bert")
+# Run inference
+sentences = [
+    "right o'clock Oh Jack here . Man brought team 3rd November . going'll to . We Pledge of and . And we got guests Manager Brantley'll of . the . I appeal flag the United States of and to Republic which,, for . Let . God, come before this grateful live wonderful community We serve our community members in our respective capacities morning and give us eyes and full hearts, Lord, as handle business Thank you your, In Christ name amen Thank Price the pledge . First item is",
+    "All right, it's nine o'clock. Oh, Jack's here too. Man, y'all brought the whole team. 9 o'clock, November 3rd, November already. Gosh. Time keeps on going. We'll call the meeting to order. We'll open with the Pledge of Allegiance and prayer. And since we've got special guests, I'll ask Town Manager Brantley Price if he'll lead us in the Pledge of Allegiance. And I'll say the prayer. I appeal to the flag of the United States of America and to the Republic for which it stands, one nation under God, indivisible, with liberty and justice for all. Let's pray together. God, we come before you this morning with grateful hearts to live in such a wonderful community. We're grateful for the opportunity to serve our community members in our respective capacities here this morning. Be with us and give us clear eyes and full hearts, Lord, as we handle the people's business. Thank you for your many, many blessings. In Christ's name, amen. Amen. Thank you, Manager Price, for the pledge. First item is",
+    "for Wednesday, November 12th\nat 7:05 p.m. What you want? This meeting is being recorded. report anything. I have\nYeah. agenda\nbut there were other items\n>> that didn't get to this print Right. >> Caught you off guard there. >> I know you did. I'm not. Oh, so it\nworked very well. >> what did what did we end up\nbecause of the day? >> that's all right. You're fine. >> All right. So, we're still going to go\na wedding for\nI think we're gonna\nwant to go. All right. No problem. 1.7. First one is Parker Hill\nWell, it's already been\nConservation Commission. Yeah. And since it's not supposed to be\nwhat snacks,\n>> By the way, I I did autographs. put your\nyour name on your agenda and stuff and\nYou mind just announcing\nthat you've arrived and what time? Did provide? Guess we should wait. kind of that was\n>> right. So what doesn't go into the\ngeneral account instead\nof meeting\nI thought we had a\nCan you read it off? Oh, you\nYou just repeat the number.",
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 768]
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+print(similarities)
+# tensor([[1.0000, 0.8891, 0.8695],
+#         [0.8891, 1.0000, 0.8283],
+#         [0.8695, 0.8283, 1.0000]])
+```
+
+<!--
+### 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.*
+-->
+
+<!--
+## 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
+
+#### Unnamed Dataset
+
+* Size: 10,000 training samples
+* Columns: <code>sentence_0</code> and <code>sentence_1</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | sentence_0                                                                         | sentence_1                                                                           |
+  |:--------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
+  | type    | string                                                                             | string                                                                               |
+  | details | <ul><li>min: 3 tokens</li><li>mean: 91.75 tokens</li><li>max: 202 tokens</li></ul> | <ul><li>min: 13 tokens</li><li>mean: 223.56 tokens</li><li>max: 256 tokens</li></ul> |
+* Samples:
+  | sentence_0                                                                                                                                                                                                                                                                                                                                                                                                                     | sentence_1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
+  |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>right I call this town council to order on Recognize is a quorum all those who attendance in those are in online . hello Davis are tonight . Thanks, I We having you . and expeditious tonight a big game JMU at . like have just a wo we've had two works who their a of for Our are with them time Ms. we have?? .? Here?? Here . Mr. Hunter? Here Hardy</code>                                                        | <code>All right, I'd like to call this town council meeting to order on this November 12, 2025. Recognize there is a quorum present. Welcome all those who are in attendance in person and those who are tuned in online. A special hello to Dr. Davis's local and state government class students who are here tonight. Thanks for coming, although I think you were probably told you had to. We appreciate having you. We'll try and be expeditious in the people's business tonight because I know there's a big game later this evening between Longwood and JMU here at home. I'd also like to have just a moment. I won't mention names, but we've had two of our public works employees who lost their wives here very recently. And so we'll just have a brief moment of silence for them. Thank you. Our prayers and our hearts are with them at this difficult time. Ms. McKay, can we have a roll call, please? Mrs. Amos? Here. Mr. Reed? Here. Mr. Dwyer? Here. Mr. Parrott? Here. Mr. Yoland. Here. Mr. Hunter? Here. Mr. Hardy</code>                                                   |
+  | <code>everyone November the City Columbia Board of Chair for meeting like introduce the members: Harding'm, Davis Whittle, Sidney Bang, Duvall also to introduce the staff the, Andrew, Board, Erica Hyan, Deputy and Madeline Land . is special, appeals . for the record, wishing and come the . No can floor When come the podium state your and speak the because meeting is recorded Applicants the board</code>          | <code>Welcome, everyone, to the November meeting of the City of Columbia Board of Zoning Appeals. I am Catherine Fenner, Chair for the Board, and will be serving as the chair for today's meeting. I would like to introduce the other members of the board: Josh Harding, I'm sorry, Davis Whittle, Sidney Lanham, Jonathan Bang, and Sherard Duvall. I would also like to introduce the staff that assists the board, Andrew Livingood, Zoning Board Administrator, Erica Hyan, Deputy Zoning Administrator, and Madeline Bowden, Land Use Board Coordinator. The board is charged with hearing applications for special exceptions, variances, and administrative appeals. All testimony is recorded for the record, and anyone wishing to speak will need to be sworn in and come to the podium to speak. No testimony can be taken from the floor. When you come to the podium, state your name and please speak clearly into the microphone because this meeting is being recorded. Applicants with cases before the board are allotted</code>                                                   |
+  | <code>Corporation 7:30 WEDC Room 250 Highway Texas TO & PLEDGE OF ON ITEMS member the may Board not Agenda of the fill out a form meeting . that comments limited minutes for, six In addition, is not allowed to converse deliberate take on any presented CONSENT AGENDA matters Agenda are be routine by Board will be will not of items . discussion desired, that item will removed from the separately . act upon</code> | <code>Wylie Economic Development Corporation <br>Board Regular Meeting <br>November 19, 2025 – 7:30 AM <br>WEDC Office Conference Room - 250 South Highway 78, Wylie, Texas <br>75098 <br> <br> <br> <br> <br> <br>CALL TO ORDER <br>INVOCATION & PLEDGE OF ALLEGIANCE <br>COMMENTS ON NON-AGENDA ITEMS <br>Any member of the public may address Board regarding an item that is not listed on the Agenda. Members of the public must <br>fill out a form prior to the meeting in order to speak. Board requests that comments be limited to three minutes for an individual, <br>six minutes for a group. In addition, Board is not allowed to converse, deliberate or take action on any matter presented during <br>citizen participation. CONSENT AGENDA <br>All matters listed under the Consent Agenda are considered to be routine by the Board and will be enacted by one motion. There will not be separate discussion of these items. If discussion is desired, that item will be removed from the Consent Agenda <br>and will be considered separately. A. Consider and act upon appr</code> |
+* Loss: [<code>DenoisingAutoEncoderLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#denoisingautoencoderloss)
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `num_train_epochs`: 1
+- `multi_dataset_batch_sampler`: round_robin
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: no
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 8
+- `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`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1
+- `num_train_epochs`: 1
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.0
+- `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`: False
+- `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`: False
+- `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`: 0
+- `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
+- `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`: False
+- `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`: round_robin
+- `router_mapping`: {}
+- `learning_rate_mapping`: {}
+
+</details>
+
+### Training Logs
+| Epoch | Step | Training Loss |
+|:-----:|:----:|:-------------:|
+| 0.4   | 500  | 4.3532        |
+| 0.8   | 1000 | 3.4547        |
+
+
+### Framework Versions
+- Python: 3.11.10
+- Sentence Transformers: 5.2.0
+- Transformers: 4.57.3
+- PyTorch: 2.4.1+cu124
+- Accelerate: 1.12.0
+- Datasets: 4.4.2
+- 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",
+}
+```
+
+#### DenoisingAutoEncoderLoss
+```bibtex
+@inproceedings{wang-2021-TSDAE,
+    title = "TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning",
+    author = "Wang, Kexin and Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
+    month = nov,
+    year = "2021",
+    address = "Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    pages = "671--688",
+    url = "https://arxiv.org/abs/2104.06979",
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.57.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

config_sentence_transformers.json

@@ -0,0 +1,14 @@
+{
+  "model_type": "SentenceTransformer",
+  "__version__": {
+    "sentence_transformers": "5.2.0",
+    "transformers": "4.57.3",
+    "pytorch": "2.4.1+cu124"
+  },
+  "prompts": {
+    "query": "",
+    "document": ""
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0c1270d0165d9bc550d467a3350bb0addd86b288ad3b35e26de32234a81c453
+size 437951328

modules.json

@@ -0,0 +1,14 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+    "max_seq_length": 256,
+    "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,63 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 256,
+  "model_max_length": 256,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}