--- 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: ' "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: ' "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](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification. The model has been trained using an efficient few-shot learning technique that involves: 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning. 2. 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](https://huggingface.co/BAAI/bge-small-en-v1.5) - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance - **Maximum Sequence Length:** 512 tokens - **Number of Classes:** 2 classes ### Model Sources - **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit) - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055) - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit) ### Model Labels | Label | Examples | |:------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------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| 1 | | | 0 | | ## Evaluation ### Metrics | Label | Accuracy | |:--------|:---------| | **all** | 0.66 | ## Uses ### Direct Use for Inference First install the SetFit library: ```bash pip install setfit ``` Then you can load this model and run inference. ```python 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 ```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} } ```