metadata
base_model: BAAI/bge-small-en-v1.5
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: >-
"As a startup founder, prioritizing tasks and managing your time
effectively is paramount for the success and sustainability of your
venture. According to the esteemed essays of Paul Graham, several
strategies can be employed to address these challenges with a structured
and disciplined approach.
Firstly, it is essential to focus on tasks that directly impact the core
product and its development. This includes understanding users and
figuring out how to meet their needs, which Graham considers the most
critical skill for a startup founder. By prioritizing user-centric tasks,
you can ensure that your product remains relevant and valuable to your
target audience.
Additionally, managing investor relationships is a crucial aspect. While
it is important to acknowledge their insights, you must also maintain
control over the company's direction. Allocating time to communicate
effectively with investors without allowing them to dictate the company's
operations can prevent unnecessary disputes and ensure that your energy is
primarily focused on product development.
Furthermore, consider starting with a consulting business and gradually
transitioning into a product business, especially if you have familial
responsibilities. This approach can decrease financial risks and offer a
steady income, allowing you to balance personal and professional duties
more effectively.
Engaging in continuous learning and acquiring skills pertinent to your
startup can also be beneficial. Skills such as programming in languages
that enhance productivity (e.g., Ruby or Python) and developing a deep
understanding of user needs can streamline your workflow and improve task
prioritization.
Lastly, joining an existing startup can serve as a valuable learning
experience, providing insights into effective time management and task
prioritization from within an entrepreneurial environment. This can
prepare you better for when you decide to initiate your own startup.
By adopting these strategies, you can manage your time and prioritize
tasks more effectively, thereby increasing the likelihood of your
startup's success."
- text: >2-
"When delegating tasks to team members in a startup, it is crucial to avoid certain common mistakes that can undermine the effectiveness and cohesion of the team. Here are some key pitfalls to steer clear of:
1. **Overestimating the Need to Hire**: One of the foremost mistakes is
hiring too many people too quickly. Founders often believe that a larger
team will enable them to accomplish more, but this can lead to a fatal
pinch where the startup becomes default dead. The actual growth of
successful startups is often a consequence of an appealing product rather
than a cause of it. Thus, be judicious in hiring and focus on maintaining
a lean team that can handle the current workload efficiently without
overextending the financial resources of the startup.
2. **Ignoring Instincts About People**: Another common error is not
trusting one's instincts about team members. Founders sometimes ignore
personal misgivings about individuals who seem impressive on paper or in
interviews. However, these misgivings often surface later on, leading to
conflicts and disruptions. It is essential to pay attention to your
instincts and ensure that every team member aligns with the company’s
values and work culture.
3. **Choosing the Wrong Platform**: Delegating technical tasks to
programmers who do not have a strong grasp of appropriate platforms can be
detrimental. For instance, during the Bubble, many startups failed because
they chose to build server-based applications on Windows, which could not
handle the load as effectively as Unix-based systems. Ensuring that team
members have the right technical expertise and make informed decisions
about platforms is critical.
4. **Not Recognizing Good Talent**: If you delegate the task of hiring to
someone who cannot recognize good programmers, it can lead to a
dysfunctional technical team. It is imperative to involve experienced and
knowledgeable individuals in the recruitment process to build a competent
and cohesive team.
5. **Suppression of Misgivings**: When founding a startup, it is vital not
to suppress any misgivings about potential team members. Most disputes
between founders and team members can be avoided by addressing concerns
early on. Including someone in the team merely because they possess a
specific skill or are a housemate can lead to future conflicts. Therefore,
ensure that every team member is genuinely suitable for the startup.
In conclusion, careful consideration and a strategic approach in
delegating tasks to team members are essential to avoid these common
mistakes and ensure the smooth functioning and growth of the startup."
- text: >-
"Building a strong company culture from the get-go is super important for
a startup! Here are some strategies that can help:
1. **Work with People You Like and Respect** 💪: Surround yourself with
cofounders and team members who share your values and passion. This
creates a positive and collaborative environment right from the start.
2. **Listen Intently** 👂: Just like the Airbnb founders did during their
time at Y Combinator, make sure to listen carefully to feedback from team
members, users, and advisors. This shows that everyone’s input is valued
and helps in making informed decisions.
3. **Release Early and Improve** 🚀: Create a culture of iteration.
Release a minimal viable product (MVP) quickly, and encourage your team to
continuously improve based on user feedback. This fosters a mindset of
growth and adaptability.
4. **Do Things That Don’t Scale** 🔍: In the early stages, focus on
personalized and hands-on approaches to solve problems and grow. This can
instill a culture of going the extra mile to meet user needs.
5. **Organize and Make Projects Happen** 🛠️: Be good at organizing groups
and making projects happen, like the Airbnb founders. This helps in
maintaining a productive and proactive work culture.
6. **Handle the Schleps Together** 🧹: Embrace the unglamorous but
necessary work as a team. This builds camaraderie and a sense of shared
responsibility.
7. **Encourage Learning and Curiosity** 📚: Promote a culture where
learning about things that matter and exploring interesting problems is
valued. This keeps the team motivated and innovative.
Remember, a strong culture isn’t built overnight. It’s about consistent
efforts and aligning your team’s values and goals. Stay positive and keep
hustling! ✨🚀"
- text: >2-
"Hey there! Managing your time as a startup founder can be super challenging, but there are some strategies you can use to help you stay on top of things. Here are a few tips based on Paul Graham's insights:
1. **Focus on Users**: The most important skill for a startup founder is
understanding users and figuring out how to give them what they want.
Prioritize tasks that are directly related to improving user experience
and meeting user needs. 🚀
2. **Manage Investors**: If you have investors, balance your time between
managing them and focusing on your product. While you shouldn't ignore
your investors (they might have useful insights), make sure you don't let
them run the company. Your energy should mostly go into the product. 👍
3. **Start Small and Gradually Scale Up**: If you’re starting from
scratch, consider starting with a consulting business and gradually
turning it into a product business. This way, you can ensure a steady
income while developing your product. 💼
4. **Learn Useful Skills**: Invest time in learning skills that are
directly useful to your startup, not just what looks good on a resume. For
example, choose programming languages that will maximize your
productivity, like Ruby or Python, rather than what’s traditionally in
demand. 📚
5. **Divide and Conquer**: Work closely with cofounders or early employees
that you trust and admire. This helps distribute the workload and brings
diverse perspectives to the table. 👯
6. **Prioritize High-Impact Tasks**: Always ask yourself which tasks will
have the most significant impact on your startup's growth and user
satisfaction. Focus on those first. 🌟
Remember, it's all about balancing immediate needs with long-term goals.
Keep your eyes on the prize, but don’t burn out. Good luck! 💪✨"
- text: >-
"When presenting your startup to potential investors, it is crucial to
avoid certain common mistakes that can significantly undermine your
chances of securing funding. Paul Graham, in his insightful essays,
highlights several of these missteps:
1. **Relying Too Heavily on the Pitch**: One major error inexperienced
founders make is attempting to convince investors primarily through their
pitch. Instead, it is more effective to let your startup speak for itself.
This involves understanding why your startup is worth investing in and
clearly communicating this to investors. Demonstrate the value and
potential of your startup rather than overemphasizing your presentation
skills.
2. **Misleading about Investor Interest**: Another frequent mistake is
misleading investors about the level of interest from other investors.
While it might seem strategic to create a sense of urgency, this can
backfire if not handled with utmost skill and authenticity. Investors are
adept at recognizing deception, and such tactics can damage your
credibility.
3. **Appearing Evasive about Rejections**: If you have been turned down by
other investors, it is a mistake to appear evasive or ashamed. Instead,
address these rejections head-on by explaining why those investors were
wrong and why you believe in the potential of your startup. Experienced
investors understand that the best ideas can often be the most daunting
and will appreciate your honesty and conviction.
4. **Bluffing When Uncertain**: When faced with questions you do not know
the answer to, avoid bluffing or giving up. The best response is to
explain how you would figure out the answer. If possible, try to work out
a preliminary answer on the spot and make it clear that this is a
preliminary assessment. This demonstrates your problem-solving approach
and transparency.
5. **Neglecting Focus on the Startup**: Founders sometimes get too caught
up in preparing for investor meetings and neglect the actual development
of their startup. It is important to focus on building a strong, viable
product. For example, at Y Combinator, startups are encouraged to
concentrate on their companies rather than investors until shortly before
Demo Day to ensure they are genuinely convincing.
By avoiding these pitfalls, you can present a more compelling case to
investors and increase your chances of securing the necessary funding for
your startup."
inference: true
model-index:
- name: SetFit with BAAI/bge-small-en-v1.5
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: Unknown
type: unknown
split: test
metrics:
- type: accuracy
value: 0.66
name: Accuracy
SetFit with BAAI/bge-small-en-v1.5
This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
- Fine-tuning a Sentence Transformer with contrastive learning.
- Training a classification head with features from the fine-tuned Sentence Transformer.
Model Details
Model Description
- Model Type: SetFit
- Sentence Transformer body: BAAI/bge-small-en-v1.5
- Classification head: a LogisticRegression instance
- Maximum Sequence Length: 512 tokens
- Number of Classes: 2 classes
Model Sources
- Repository: SetFit on GitHub
- Paper: Efficient Few-Shot Learning Without Prompts
- Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts
Model Labels
| Label | Examples |
|---|---|
| 1 |
|
| 0 |
|
Evaluation
Metrics
| Label | Accuracy |
|---|---|
| all | 0.66 |
Uses
Direct Use for Inference
First install the SetFit library:
pip install setfit
Then you can load this model and run inference.
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("GGmorello/setfit-young-persona")
# Run inference
preds = model("\"Building a strong company culture from the get-go is super important for a startup! Here are some strategies that can help:
1. **Work with People You Like and Respect** 💪: Surround yourself with cofounders and team members who share your values and passion. This creates a positive and collaborative environment right from the start.
2. **Listen Intently** 👂: Just like the Airbnb founders did during their time at Y Combinator, make sure to listen carefully to feedback from team members, users, and advisors. This shows that everyone’s input is valued and helps in making informed decisions.
3. **Release Early and Improve** 🚀: Create a culture of iteration. Release a minimal viable product (MVP) quickly, and encourage your team to continuously improve based on user feedback. This fosters a mindset of growth and adaptability.
4. **Do Things That Don’t Scale** 🔍: In the early stages, focus on personalized and hands-on approaches to solve problems and grow. This can instill a culture of going the extra mile to meet user needs.
5. **Organize and Make Projects Happen** 🛠️: Be good at organizing groups and making projects happen, like the Airbnb founders. This helps in maintaining a productive and proactive work culture.
6. **Handle the Schleps Together** 🧹: Embrace the unglamorous but necessary work as a team. This builds camaraderie and a sense of shared responsibility.
7. **Encourage Learning and Curiosity** 📚: Promote a culture where learning about things that matter and exploring interesting problems is valued. This keeps the team motivated and innovative.
Remember, a strong culture isn’t built overnight. It’s about consistent efforts and aligning your team’s values and goals. Stay positive and keep hustling! ✨🚀\"")
Training Details
Training Set Metrics
| Training set | Min | Median | Max |
|---|---|---|---|
| Word count | 188 | 317.75 | 491 |
| Label | Training Sample Count |
|---|---|
| 0 | 16 |
| 1 | 16 |
Training Hyperparameters
- batch_size: (8, 8)
- num_epochs: (10, 10)
- max_steps: -1
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: False
Training Results
| Epoch | Step | Training Loss | Validation Loss |
|---|---|---|---|
| 0.0147 | 1 | 0.3182 | - |
| 0.7353 | 50 | 0.3048 | - |
| 1.4706 | 100 | 0.0344 | - |
| 2.2059 | 150 | 0.0021 | - |
| 2.9412 | 200 | 0.0019 | - |
| 3.6765 | 250 | 0.0013 | - |
| 4.4118 | 300 | 0.0014 | - |
| 5.1471 | 350 | 0.0011 | - |
| 5.8824 | 400 | 0.0011 | - |
| 6.6176 | 450 | 0.0008 | - |
| 7.3529 | 500 | 0.0007 | - |
| 8.0882 | 550 | 0.0011 | - |
| 8.8235 | 600 | 0.0007 | - |
| 9.5588 | 650 | 0.0006 | - |
Framework Versions
- Python: 3.10.12
- SetFit: 1.0.3
- Sentence Transformers: 3.0.1
- Transformers: 4.39.0
- PyTorch: 2.3.0+cu121
- Datasets: 2.20.0
- Tokenizers: 0.15.2
Citation
BibTeX
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}