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---
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dense
- generated_from_trainer
- dataset_size:1900
- loss:CosineSimilarityLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget:
- source_sentence: ' Hi there, I''m writing a piece about a worker who shared a post
    on Reddit questioning "What is a polite and professional way to explain to my
    employer that since they''ve decided to cut our salary by 60%, that I''ll only
    be completing 40% of all assigned tasks from now on?" Read the full context of
    the story here at https://www.reddit.com/r/antiwork/comments/10oaben/what_is_a_polite_and_professional_way_to_explain/
    OR pasted below:


    READER POST BEGINS


    My employers have decided that since we''re transitioning into a new company,
    they deserve raises since they''ll be doing twice the amount of work. I work for
    a pretty small non-profit, having said that ALL OF US have had to do twice the
    amount of work we signed on for. I''m only contracted to work 40 hours of work
    a week, but recently I''ve had to work 60 hours a week and have even been called
    in for work ON MY DAYS OFF. But in spite of all of that, my employer has announced
    that the rest of us will be losing vision and dental benefits and be required
    to pay for health insurance out of pocket. Oh, and because we need to save money
    for the new company, thw rest of us will be getting pay cuts.


    READER POST ENDS


    It would be great if a career expert or life coach can share comment on whether
    the employee is approaching the situation in the best way. Could they be risking
    getting fired? Would this sort of tactic be effective in getting the employer
    to respond in a way that benefits the worker?  Be great to get any brief comments
    (200 or so words at max)  |  Career Expert or Life Coach Needed for Comment on
    Employee Doing Only 40% of Their Work After 60% Pay Cut '
  sentences:
  - 'Hi Sydney, In response to your recent query regarding co-parenting apps, I''d
    like to offer the insights below from New York family law attorney Atty Bruggemann,
    Esq., partner at Dimopoulos Bruggemann P.C. (www.dimolaw.com). Atty specializes
    in child custody, support and co-parenting matters and would be happy to offer
    her perspective. Please see below for her thoughts: The benefits of co-parenting
    apps: Co-parenting apps have been on the rise given the increase in co-parenting
    or shared custody arrangements awarded by the courts even when the parents involved
    fail to communicate effectively. While the failure of parents to get along and
    communicate has historically been seen as a barrier to a shared custody arrangement
    for a multitude of reasons, courts are now willing to take a chance on these arrangements.
    With the advancement of technology there is now the ability to control communications
    and the abuse that can come along with having full access through social media,
    text messaging, emails, and apps. These apps consolidate all the mediums of communication
    into one and allow parents to trust the communications, calendars, and financial
    aspects of their relationship. The apps accomplish several things to help parents
    in difficult co-parenting situations: - Tracking communications in one place.
    Often keeping texts, emails, and other communications become difficult when all
    mediums are permitted to be used. All communications, receipts, scheduling happens
    in one place in these apps and helps to consolidate communications. - Accountability.
    During the custody litigation everyone is on their best behavior. Many issues
    arise post judgment because people begin to take matters into their own hands.
    These apps save all communications and the communications cannot be edited. These
    apps create that sense of eyes on the behavior of the parents. Further, all communications
    can be downloaded and saved to provide as evidence should the parents needs to
    go back to court on any issues. - Cuts down on harassing communications by not
    giving each parent full and unfettered access to one another. Often there is a
    prohibition from contacting one another outside the app unless a third party is
    copied, such as a doctor or a teacher. Conversely, also stops phone call and text
    blocking or claims that one parent did not receive a communication. - Calendaring:
    There can be no confusion on when the children are with each parent and when the
    vacation schedules are if the parents put the regular and vacation/holiday schedules
    in the app calendar function. - Expense tracking: Many of the apps have the capability
    to track expenses for the parents and record payments. This helps to cut down
    on back-and-forth communications about who owes what and when the goal of the
    apps is to organize and streamline interactions between parties who have proven
    they cannot communicate effectively. While these apps cannot solve all issues
    between parents, they can help to keep parents focused on the most important issue,
    the wellbeing of their children. Here''s some background on Atty: Atty Bruggemann,
    Esq. has handled some of the most intricate divorce cases on record. With over
    fourteen years of experience, she has established herself as a trusted authority,
    providing strategic counsel and innovative solutions when matters seem insurmountable.
    Ms. Bruggemann specializes in navigating complex matrimonial cases involving high-net-worth
    individuals, professional athletes, and celebrities, consistently securing favorable
    outcomes that serve her clients'' best interests. Ms. Bruggemann’s extensive knowledge
    and skill in child custody and support matters ensures compassionate advocacy.
    While she prioritizes amicable resolutions, Ms. Bruggemann has a proven track
    record of success in highly contentious custody disputes and is prepared to vigorously
    litigate when necessary to safeguard the best interest of the children involved.
    Her expertise further extends to the drafting and negotiation of prenuptial, postnuptial,
    separation, and settlement agreements. Clients frequently call on her for advice
    when contemplating a divorce, preparing for mediation, and for second opinions
    on their matters. Recognized by Top Women Attorneys in New York and Super Lawyers’
    Rising Stars, Ms. Bruggemann has published articles in The New York Law Journal
    and New York Family Law Monthly. She is a member of the American Bar Association
    and the New York State Bar Association. Ms. Bruggemann received a B.A. from Emerson
    College, cum laude, and a J.D. from New York Law School, cum laude. She is admitted
    to practice law in New York. Thank you for your consideration. Best, Kelly Lee
    Co-Communications (585) 764-4661 (cell) klee@cocommunications.com'
  - 'Hi Lindsay, Here''s a real estate investment story that your readers may find
    interesting. I''m a pharmacist by profession, so when I started investing in real
    estate I didn''t know what to look for in a property – or what to avoid. The first
    investment property I ever bought was a 100-year-old house. It was cheap, and
    I thought I had snagged a great deal. But I soon realized I had gotten myself
    into a project that needed a lot more than I had originally bargained for. Between
    the broken pipes and the rat and flea infestations, my new property needed $40,000
    in repairs and improvements. But here are a few things I learned from that first
    investment: 1. Always vet a property before buying it. If you uncover problems
    that aren''t deal breakers, you''ll be in a much better position to negotiate
    the sale price if you know what''s wrong and how much repairs would cost. 2. Invest
    in properties that are big enough to allow you to maximize the number of bedrooms
    and bathrooms. That way, you can rent out individual rooms to college students
    and end up earning a lot more for the same property (versus renting the entire
    house to one person) 3. Expensive mistakes can help you if you take the time to
    learn from them. That''s what I did, and it''s helped me invest in properties
    that offer a high ROI. Despite that early investment mistake, I chose to keep
    going. And now, I can choose to retire thanks to my investment portfolio – even
    though I''m still in my early thirties. Please let me know if you''d like to hear
    more. Website: https://www.newbierealestateinvesting.com/ Warmly, Ryan'
  - It is difficult to comment on the situation without knowing the specific details
    of the manager in question. However, in general, it is not recommended to approach
    a request for a raise or better benefits in a confrontational or ultimatum-style
    manner, as this can create tension and negatively affect the employee's relationship
    with their employer. It can also risk the employee being seen as difficult or
    unreasonable, which could result in negative consequences such as not receiving
    the desired raise or even being fired. A better approach would be to schedule
    a meeting with the employer and have an open and honest conversation about the
    employee's contribution to the company, their career goals, and their reasons
    for requesting a raise or better benefits. The employee can present data, such
    as market research or their performance metrics, to support their request and
    show their value to the company. It's important to remember that the outcome of
    these discussions is not always guaranteed, and the employer may not be able to
    meet the employee's request. However, approaching the situation in a professional
    and solution-focused manner can increase the chances of reaching a mutually beneficial
    agreement and maintaining a positive relationship with the employer.
- source_sentence: ' I''m putting together a piece on "Times Using Your Debit Card
    Will Cost You More." It''s similar to this piece about debit cards ( https://bestlifeonline.com/never-use-debit-card-purchases-news/
    ), and is pretty self-explanatory! Could be overdraft fees, higher rates, etc...


    FYI: For most pieces, we simply collect a recommendation and then 2-3 sentences
    about why it''s been selected it as we present them in slideshow form.  |  Finance
    and consumer experts needed for piece on "times when debit cards cost you more" '
  sentences:
  - Hi Zach, Hope all is well! As you're looking for financial experts to discuss
    times using your debit card will cost you more, I'd love to offer Courtney Alev,
    Credit Karma's Consumer Financial Advocate. In her role, Courtney is responsible
    for building Credit Karma's next generation of product features focused on helping
    members know, grow and protect their wealth. She'd be happy to share her insights
    on the topic. Let me know if you'd be interested in getting Courtney's insights,
    happy to share any specific questions you have. Best, Morgan
  - Hi Tabitha, I hope your day is going well! Per you query, i'd love to offer expert
    insights from Vanessa Johnson, Director of Instructor Training. Vanessa can answer
    the questions you need for your article or any others you may have. Just let me
    know and I'd be happy to coordinate! Best, Gabe Rosenberg grosenberg@fishmanpr.com
  - 'Hi Rachel! I hope this message finds you well. I’m reaching out to because I
    believe we''ve got a unique device that would be an exact match for your upcoming
    coverage. Our company, Kineon Labs, has engineered a safe, non-invasive, red light
    therapy device called the Move+ which was built from the ground up to relieve
    joint pain and support recovery. The Move + was launched on Indiegogo and received
    100% funding in just 24 hrs. If you or someone you know has suffered a joint injury
    or chronic pain, you know the most common way to treat that pain is to apply ice
    or take over the counter medication. Recent studies have shown icing to be more
    detrimental to your recovery and traditional medications like NSAID’s aren’t a
    healthy long-term strategy. The Move+ was developed by a team of physiotherapists,
    scientists, medical professionals and product geeks, the sleek, portable device
    uses the latest scientific research and combines powerful lasers and LEDs to deliver
    deeper penetration and optimal results. The Move+ helps those suffering from chronic
    joint pain to live a happier and healthier life– because everyone should be able
    to move comfortably and pain-free. If you’d like to learn more about the product,
    please check out: https://kineon.io/products/knee If interested, I’d be happy
    to coordinate an interview with the founders of Kineon Labs, and/or provide a
    sample for you to try out. Thank you. I look forward to hearing back from you.
    Kind regards, Analyn Maer'
- source_sentence: " Looking for regtech/ fintech regulation industry members to take\
    \ part in a webinar on Entity Centric AML.\n\nThe webinar is about the need to\
    \ take a broader look at activity and behaviour when assessing suspicion. The\
    \ way to do this is to focus on the subject entity and not on the individual events/\
    \ transactions which have occurred. We call this Entity Centric AML, by taking\
    \ a more contextual view, taking into account all information on the entity, from\
    \ both internal and external data sources, suspicious activity for each entity\
    \ can be more clearly defined and therefore monitored for and detected on.\n \n\
    Discussion points:\nDo we need to take a different approach?\nWhat is an Entity\
    \ Centric approach\nWhat are the benefits of this approach\nHow do we achieve\
    \ this approach?\n\nLooking for speaker suggestions, get in touch with any questions\
    \ etc\n  |  Fintech/regtech industry member or AML expert for Entity Centric AML\
    \ Webinar "
  sentences:
  - ' '
  - Hey AK! My name is Brian Gallegos, and I am representing Generation Tux, US formalwear
    platform specializing in at home fitting with doorstep delivery. Generation is
    Tux is about to launch a line of female suits to cater to female presenting individuals.
    We are hoping to speak out on our support and the LGBT+ community, and I think
    that your podcast might be a great opportunity. I am representing Pablo Villalpando
    directly, but we have a great team from Generation Tux that I'm sure would LOVE
    to engage. Fingers crossed to hearing back! -Brian G. 🌈
  - 'Hi Polly, Hope you''re well. Having looked at your request for someone from the
    regtech/fintech industry to take part in this webinar, I believe that our Head
    of Compliance, Kirsty Coughlan, would be a great fit. She''s a great public speaker
    and would be able to give a lot of insight into entity-centric AML, as well as
    from a crypto perspective. Please find her bio below: Kirsty is an experienced
    professional with over 16 years experience within the compliance and financial
    services industry. Notably, during the last 13 years, she has worked exclusively
    in the foreign exchange and global payments space, holding senior compliance positions
    fighting financial crime. She currently works as Head of Compliance at leading
    crypto payments platform, Wirex, where she holds MLRO status and is the primary
    individual responsible for all KYC/AML/financial crime-related issues and risk
    management. With this role, she provides ongoing cross-company support and training
    to the Compliance team and global business from a commercial, risk and compliant
    perspective. Let me know if you need any more info! Thanks, Lottie'
- source_sentence: " Cucumbers are a staple in classic Mediterranean side dishes and\
    \ condiments, from Israeli salads to Tzaziki and dill pickles. However, beyond\
    \ that, they are a secret weapon for a variety of recipes. \n\nI am looking for\
    \ chefs, cookbook authors and even nutritionists to share recipes with great photos\
    \ as well as unexpected uses for them, types of cucumbers and their use, and health\
    \ benefits that have made cucumbers a staple in the summertime diets? Do they\
    \ have healing properties or the ability to cool us down when it gets hot?\n\n\
    Looking forward to some fresh slices of information!\n  |  Cucumbers: Nothing’s\
    \ Cooler in Summer Recipes "
  sentences:
  - 'Hi Mandy, I am a small business owner with two retail stores. In addition, our
    gourmet food products are distributed in 42 states. Here is my real-world experience
    in reply to your questions: "Our BOP covers makes it simple for us since everything
    is contained in one policy including general liability and property insurance.
    However, as will any small business, uncertainty is part to being in business.
    For example, several years ago one of our retail store fell victim to a breaking
    and entering. Fortunately, in addition we have addition options including crime
    and business interruption. So with one call to our agent, we were covered the
    costs to repair damaged windows, walls and missing cash. " Andy LaPointe www.TraverseBayFarms.com
    Traverse Bay Farms - Winner of 48+ National Food Awards'
  - Hi there! Longtime insurance product manager now insurance agent here. Lots of
    thoughts on gap insurance! Kate Terry, CEO, Surround Insurance Cars have gotten
    a lot more expensive over the past few years, and as a result, people are taking
    out longer auto loans so they can afford the monthly payment on a new car. However,
    this comes with a risk - new cars depreciate rapidly. By the end of the first
    year of ownership, a car may be worth 20% less than what you paid for it. Unfortunately,
    if you have long car loan, say 72 or 84 months, the balance on your loan may be
    more than your car is worth. If you total it in a car crash, you still owe the
    loan, even though you no longer have a driveable car, and you probably need to
    buy a new car as well. This situation is what gap insurance prevents. Gap insurance,
    which you can get through your auto insurance company or sometimes from the dealer,
    pays out the difference between your loan balance and the actual cash value of
    your car, minus the deductible on your insurance policy. That lets you pay off
    your auto loan and just focus on finding a new car. Gap insurance will usually
    cost you under $100/year if you add it to your car insurance. You'll probably
    have to maintain full coverage on your car as well, which is comprehensive and
    collision coverage in addition to liability. Most lenders require full coverage
    anyway, though, so this isn't really an additional requirement. And you should
    pay attention to any limitations on payouts. Sometimes, there are limits to how
    large a gap will be covered, so you'll want to take that into account.
  - Hi Elyse, I hope this note finds you well. Just a short note to introduce myself.
    I am an expert on the Middle East conflict and I am on the ground in Judea (the
    "West Bank"). I can answer your questions on the Arab-Israeli conflict, discuss
    history, the Israel/Hamas war, address issues of international law, and more.
    So much of the news is distorted and agenda-driven media. If you are looking for
    an unapologetic, truthful analysis of what's happening on the ground, I can be
    very helpful. If you ever want to increase your basic knowledge on the subject,
    I'm happy to brief you on key historical developments that got us to where we
    are today or answer any other questions about the conflict that you always wanted
    to know and just never found good answers readily available. I look forward to
    working with you in the near future. Kindest regards, Kalman Michoel
- source_sentence: ' We''re working on a story about negotiating a raise at work during
    a time of rising inflation. We need these queries answered for the story.


    1. What impact, if any, is skyrocketing inflation having on salaries and compensation
    on the job?


    2. Is it reasonable for an employee to ask for a raise at a time of high inflation?
    Or should job responsibilities be the only factor when asking for a raise?


    3. What are your best tips for negotiating a raise at a time of high inflation?
    What strategies works and what doesn''t?


    Thanks.  |  Looking for negotiation, career and financial experts for an article
    on negotiating a raise at work at a time of high inflation '
  sentences:
  - 'Hey Amy Walters, Thank you for reaching out. Dr. Sandeep Nayak, a Surgical Oncologist
    (DNB, MRCS UK, Fellowship in Laparoscopic and Robotic Surgical Oncology), provides
    his professional insight into the claim of curing cancer through dietary changes:
    "A claim like this needs to be examined carefully. While diet and nutrition play
    a crucial role in overall health and can support recovery during and after cancer
    treatment, there is no scientific evidence to suggest that dietary changes alone
    can cure cancer. The case mentioned, where surgery was performed and a plant-based
    diet followed, likely reflects the combined effect of medical intervention and
    lifestyle improvements. Surgery is often a curative treatment for localized cancers,
    but attributing the cure solely to dietary changes is misleading. What diet does
    offer is an enhancement to the body’s ability to heal and recover. For example,
    a diet rich in vegetables, legumes, and whole foods provides antioxidants and
    anti-inflammatory properties that can support the immune system and potentially
    reduce the risk of cancer recurrence. However, this should complement, not replace,
    proven cancer therapies like surgery, chemotherapy, or immunotherapy. It’s important
    for patients to understand that cancer is multifactorial, involving genetic, environmental,
    and lifestyle factors. While maintaining a healthy diet is essential for reducing
    risks and supporting recovery, it is not a standalone cure. Bold claims like this
    can deter patients from seeking evidence-based treatments, which could have life-saving
    outcomes." Dr. Nayak emphasizes that diet, while a powerful tool in promoting
    health, is one part of a larger treatment plan. "The best approach combines advanced
    medical treatments with lifestyle modifications for long-term well-being and prevention.
    Patients should always consult their oncologist or healthcare provider before
    making decisions about cancer care based on anecdotal reports." If you’d like
    additional commentary or specific examples, please feel free to reach out. Here
    are Dr. Nayak’s details for attribution: Dr. Sandeep Nayak DNB (General Surgery),
    DNB (Surgical Oncology), MRCS (UK), MNAMS (General Surgery) Fellowship in Laparoscopic
    and Robotic Surgical Oncology Profile: Dr. Sandeep Nayak Website: MACS for Cancer'
  - ' '
  - Hello, This is just a test pitch that is being submitted by the Qwoted team. Apologies
    for any confusion in your inbox. All the best, Shelby Bridges
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics:
- pearson_cosine
- spearman_cosine
model-index:
- name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
  results:
  - task:
      type: semantic-similarity
      name: Semantic Similarity
    dataset:
      name: sts dev
      type: sts-dev
    metrics:
    - type: pearson_cosine
      value: 0.9237640704578296
      name: Pearson Cosine
    - type: spearman_cosine
      value: 0.817098656291897
      name: Spearman Cosine
---

# SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2

This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the csv dataset. It maps sentences & paragraphs to a 384-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:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) <!-- at revision c9745ed1d9f207416be6d2e6f8de32d1f16199bf -->
- **Maximum Sequence Length:** 256 tokens
- **Output Dimensionality:** 384 dimensions
- **Similarity Function:** Cosine Similarity
- **Training Dataset:**
    - csv
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/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': 384, '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})
  (2): Normalize()
)
```

## 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("Ermiyas/embedding-1")
# Run inference
sentences = [
    " We're working on a story about negotiating a raise at work during a time of rising inflation. We need these queries answered for the story.\n\n1. What impact, if any, is skyrocketing inflation having on salaries and compensation on the job?\n\n2. Is it reasonable for an employee to ask for a raise at a time of high inflation? Or should job responsibilities be the only factor when asking for a raise?\n\n3. What are your best tips for negotiating a raise at a time of high inflation? What strategies works and what doesn't?\n\nThanks.  |  Looking for negotiation, career and financial experts for an article on negotiating a raise at work at a time of high inflation ",
    ' ',
    'Hey Amy Walters, Thank you for reaching out. Dr. Sandeep Nayak, a Surgical Oncologist (DNB, MRCS UK, Fellowship in Laparoscopic and Robotic Surgical Oncology), provides his professional insight into the claim of curing cancer through dietary changes: "A claim like this needs to be examined carefully. While diet and nutrition play a crucial role in overall health and can support recovery during and after cancer treatment, there is no scientific evidence to suggest that dietary changes alone can cure cancer. The case mentioned, where surgery was performed and a plant-based diet followed, likely reflects the combined effect of medical intervention and lifestyle improvements. Surgery is often a curative treatment for localized cancers, but attributing the cure solely to dietary changes is misleading. What diet does offer is an enhancement to the body’s ability to heal and recover. For example, a diet rich in vegetables, legumes, and whole foods provides antioxidants and anti-inflammatory properties that can support the immune system and potentially reduce the risk of cancer recurrence. However, this should complement, not replace, proven cancer therapies like surgery, chemotherapy, or immunotherapy. It’s important for patients to understand that cancer is multifactorial, involving genetic, environmental, and lifestyle factors. While maintaining a healthy diet is essential for reducing risks and supporting recovery, it is not a standalone cure. Bold claims like this can deter patients from seeking evidence-based treatments, which could have life-saving outcomes." Dr. Nayak emphasizes that diet, while a powerful tool in promoting health, is one part of a larger treatment plan. "The best approach combines advanced medical treatments with lifestyle modifications for long-term well-being and prevention. Patients should always consult their oncologist or healthcare provider before making decisions about cancer care based on anecdotal reports." If you’d like additional commentary or specific examples, please feel free to reach out. Here are Dr. Nayak’s details for attribution: Dr. Sandeep Nayak DNB (General Surgery), DNB (Surgical Oncology), MRCS (UK), MNAMS (General Surgery) Fellowship in Laparoscopic and Robotic Surgical Oncology Profile: Dr. Sandeep Nayak Website: MACS for Cancer',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[     1.0000,     -0.0021,      0.4980],
#         [    -0.0021,      1.0000,      0.0003],
#         [     0.4980,      0.0003,      1.0000]])
```

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## Evaluation

### Metrics

#### Semantic Similarity

* Dataset: `sts-dev`
* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)

| Metric              | Value      |
|:--------------------|:-----------|
| pearson_cosine      | 0.9238     |
| **spearman_cosine** | **0.8171** |

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## Training Details

### Training Dataset

#### csv

* Dataset: csv
* Size: 1,900 training samples
* Columns: <code>request</code>, <code>pitch</code>, and <code>score</code>
* Approximate statistics based on the first 1000 samples:
  |         | request                                                                              | pitch                                                                              | score                                                           |
  |:--------|:-------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:----------------------------------------------------------------|
  | type    | string                                                                               | string                                                                             | float                                                           |
  | details | <ul><li>min: 16 tokens</li><li>mean: 120.15 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 160.7 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.75</li><li>max: 85.0</li></ul> |
* Samples:
  | request                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            | pitch                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | score             |
  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------|
  | <code>What can be done to improve diversity for financial advisors? | What are tangible ways that the financial advisory industry can increase diversity?</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   | <code>What can be done to improve diversity for financial advisors? What are tangible ways that the financial advisory industry can increase diversity?<br><br>Even as an eternal optimist, I'll start with the business case: diverse teams are more likely to outperform on the bottom line. McKinsey can give you the stats. With that out of the way, let's talk about action. "Diversity & Inclusion" is often taken to mean hiring statistics, but increasing diversity in the financial advisory industry requires work to build a talent pipeline for advisors and to build better services from advisors. A history of exclusionary practices has resulted in our status quo; today, financial advisors are often assumed to be well-off themselves and to serve a well-off clientele. Changing this history is going to take time, and improving diversity for financial advisors and for the industry won't happen overnight. <br><br>The industry should start by investing time to build a diverse customer base and to meet their needs. On ...</code>                   | <code>0.95</code> |
  | <code> UPDATE: Medical Doctors  who are also Geriatricians  | Topic: Baby Boomers <br>I want to speak with US medical experts (for 15 min) support the medical needs of those born from 1946 and 1964 AKA "Boomers" <br><br>Previous: <br>or those in professions that  support their healthcare and retirement concerns. Aging life Specialists and Care Managers and Geriatricians to the front, please.<br>Someone who can chat with me about the nuance in this demographic and what that are currently facing. <br><br>-Please don't send ready-made quotes for this one. <br><br>-Looking for experts who can speak to the health and social concerns of this demographic. It would be ideal to connect with an expert who can speak for 15 minutes on the 11 or 12 of next week.<br><br>Here are my primary questions about Baby Boomers: <br>What Role do Baby Boomers play in family dynamics today and why does it matter?<br>What are challenges baby boomers are facing when it comes to their health?<br>What are challenges baby boomers are facing when it comes to senio...</code> | <code>Hi Yolande,<br><br>I'd like to introduce you to Ann Lilly as a potential source for you. Ann is the Brand Lead for House Doctors, a leading home improvement and handyman service, and just last year, she helped launch the Aging in Place program. This program prioritizes fall prevention for the aging population, helping so seniors can live independently and safely in their homes with a solution that addresses their unique needs.<br><br>One in Four senior citizens in the U.S. suffer a fall each year. With nearly 90% of seniors expressing a desire to remain in their own homes as they age, Ann is helping to ensure that seniors can continue living in their homes with the comfort and safety they deserve.<br><br>KEY STATS:<br>•        1 in 4 seniors in the U.S. falls each year<br>•        Falls result in 3 million emergency department visits annually.<br>•        76% of remodelers have seen a significant or moderate increase in requests for aging-in-place features in the last five years.<br>•        The most common aging-i...</code> | <code>0.8</code>  |
  | <code>Looking to speak to a researcher that has been in academia 20+ years | Looking to have a quick conversation with a researcher that has been in academia 20+ years and uses Twitter to share their research.</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           | <code> </code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         | <code>0.0</code>  |
* Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
  ```json
  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  ```

### Evaluation Dataset

#### csv

* Dataset: csv
* Size: 316 evaluation samples
* Columns: <code>request</code>, <code>pitch</code>, and <code>score</code>
* Approximate statistics based on the first 316 samples:
  |         | request                                                                              | pitch                                                                               | score                                                           |
  |:--------|:-------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:----------------------------------------------------------------|
  | type    | string                                                                               | string                                                                              | float                                                           |
  | details | <ul><li>min: 14 tokens</li><li>mean: 120.31 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 161.22 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.66</li><li>max: 0.95</li></ul> |
* Samples:
  | request                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | pitch                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | score             |
  |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------|
  | <code> I am working on an article for USA Today's Blueprint (Business Section) on the best onboarding practices. Looking for an HR professional to weigh in on the following: <br><br>1. What are some top onboarding practices? For instance, keep new hires engaged before their joining date, set up team meet and greets, set clear goals and objectives, check in often, collect feedback to refine onboarding practices. <br><br>2. Why is it important to implement these best onboarding practices? How does it help with productivity, retention, general morale and well-being in the workplace? <br><br>3. What are some challenges to look out for during onboarding? <br><br>4. What are some tools to help with the onboarding process?   |  Human resources professional needed for insights on best onboarding and worker retention practices  </code> | <code>Hey Jackie, I work with Keith Harper, the founder and CEO of NY-based Above & Beyond Talent Acquisition. A&B is on a mission to increase executive diversity among the Fortune 500 and along the way Keith has helped hundreds of companies find and successfully onboard candidates. They actually covered some onboarding strategies that maximize retention in a recent blog post here: https://aandbtalent.com/importance-of-mentorship-during-new-employee-onboarding/ I think Keith would be a fantastic resource and I'd be happy to connect you both if you'd like to schedule some time to speak with him. Very best, Bruce</code>                                                                                                                                                                                                                                                                                                                                                                                                        | <code>0.8</code>  |
  | <code> I’m working on a TravelSavvy feature on the Best Spring Break Destinations for Families With Young Kids—places where parents can relax, kids can play, and everyone gets the most out of their vacation. Whether it's a beach escape with calm waters (for newbie swimmers), a resort packed with kid-friendly activities, or an off-the-beaten-path gem perfect that's safe for family adventures, I want to hear about it! If you rep a destination (hotel, resort, tourism board) that offers an unforgettable spring break experience for families, send me your pitch! Please include links to book, off-peak and peak price ranges, and details on what makes it kid-friendly! I'll respond to those I plan to include.  |  Best Spring Break Destinations for Families With Young Kids </code>                                                           | <code>Hi Ysolt, Hope you're doing well! For your story on the best Spring Break Destinations for Families with Young Kids, I wanted to put forward Cornwall, England for potential consideration. Destination: Cornwall, England Why: Cornwall is the ultimate British beach holiday location in the Spring as the weather gets noticeably warmer here much earlier than in other parts of Britain. The golden sand and turquoise water rivals that of the Caribbean. The quaint fishing villages and stunning beaches make for the perfect family break. During the summer months there will be ice cream on almost every corner, restaurants with delicious locally sourced fish dishes and coves to explore at low tide. It is beautiful corner of England that also offers fantastic car free biking trails (The Camel Trail) ideal for all ages and abilities. Coastal walks providing dramatic cliff tops, film locations from Poldark and more miles of sandy beaches for sandcastles or sunbathing! Quote from Gaby Cecil, Commercial ...</code> | <code>0.89</code> |
  | <code> Hi there, I'm looking for a telecoms engineer to discuss ways to connect to a satellite during a service outage, and share are more similar tips.  |  Looking for a telecoms engineer </code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   | <code>Hi Maria, Cool story you're working on here. I work with Benchmark Electronics, an advanced manufacturing and engineering company based in Arizona. They do A LOT of telecom work (https://www.bench.com/next-gen-communications) and I'd love to find an engineer for you to speak with there. I have one question for you on this though, is the listed deadline you have for collecting sources or is it for getting answers to the questions you have? If its the former, I can package these up for some folks and work to get them to you but if its the latter the turn around may be too tight. Please let me know either way.</code>                                                                                                                                                                                                                                                                                                                                                                                                      | <code>0.8</code>  |
* Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
  ```json
  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `eval_strategy`: steps
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 64
- `gradient_accumulation_steps`: 2
- `learning_rate`: 0.0001
- `num_train_epochs`: 7
- `warmup_ratio`: 0.2
- `load_best_model_at_end`: True

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: steps
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 32
- `per_device_eval_batch_size`: 64
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 2
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 0.0001
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 7
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.2
- `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
- `use_ipex`: 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`: True
- `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}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `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`: False
- `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`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
- `router_mapping`: {}
- `learning_rate_mapping`: {}

</details>

### Training Logs
| Epoch      | Step    | Training Loss | Validation Loss | sts-dev_spearman_cosine |
|:----------:|:-------:|:-------------:|:---------------:|:-----------------------:|
| -1         | -1      | -             | -               | 0.7685                  |
| 0.3333     | 10      | 11.2084       | 0.0593          | 0.7714                  |
| 0.6667     | 20      | 0.0316        | 0.0308          | 0.7794                  |
| 1.0        | 30      | 0.0245        | 0.0334          | 0.7870                  |
| 1.3333     | 40      | 0.0136        | 0.0246          | 0.7978                  |
| 1.6667     | 50      | 11.0605       | 0.0233          | 0.8154                  |
| 2.0        | 60      | 0.0155        | 0.0234          | 0.8161                  |
| 2.3333     | 70      | 0.0125        | 0.0244          | 0.8331                  |
| 2.6667     | 80      | 11.0853       | 0.0230          | 0.8264                  |
| 3.0        | 90      | 0.0116        | 0.0225          | 0.8261                  |
| 3.3333     | 100     | 0.0071        | 0.0226          | 0.8279                  |
| 3.6667     | 110     | 11.0368       | 0.0227          | 0.8165                  |
| 4.0        | 120     | 0.0072        | 0.0226          | 0.8145                  |
| **4.3333** | **130** | **0.005**     | **0.0222**      | **0.8194**              |
| 4.6667     | 140     | 0.0054        | 0.0225          | 0.8193                  |
| 5.0        | 150     | 11.034        | 0.0226          | 0.8103                  |
| 5.3333     | 160     | 0.0036        | 0.0225          | 0.8150                  |
| 5.6667     | 170     | 0.0038        | 0.0228          | 0.8193                  |
| 6.0        | 180     | 11.0309       | 0.0224          | 0.8168                  |
| 6.3333     | 190     | 11.0297       | 0.0224          | 0.8163                  |
| 6.6667     | 200     | 0.0029        | 0.0225          | 0.8165                  |
| 7.0        | 210     | 0.0026        | 0.0225          | 0.8171                  |

* The bold row denotes the saved checkpoint.

### Framework Versions
- Python: 3.11.13
- Sentence Transformers: 5.0.0
- Transformers: 4.55.0
- PyTorch: 2.6.0+cu124
- Accelerate: 1.9.0
- Datasets: 4.0.0
- Tokenizers: 0.21.4

## 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",
}
```

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