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--- |
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library_name: setfit |
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tags: |
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- setfit |
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- sentence-transformers |
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- text-classification |
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- generated_from_setfit_trainer |
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metrics: |
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- accuracy |
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widget: |
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- text: Dear Jonathan, I am writing to find out how things are going on the Beta project. |
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I understand that you are enjoying the role and finding new applications.I have |
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had some feedback from Terry confirming that you are doing well but there are |
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some improvement points that I would like to discuss with you. It has been noted |
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that your contributions are providing real value and they enjoy working with you, |
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however, some of this value is spoiled by a conversational tone and being a bit |
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verbose. In business correspondence it is essential that the facts are clear, |
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concise and distinguishable from opinion, otherwise the message may be lost (regardless |
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of how good it is).There are a number of significant reports required in the coming |
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weeks. Please could you ensure that you confirm with Terry the exact detail and |
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format required for specific reports and communication. He should be able to provide |
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templates and guidance to ensure that his requirements are met. I would also recommend |
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that you undertake a report-writing course, which should help you to ensure that |
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you convey your great ideas in the best possible way.I am keen to support you |
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to ensure the success of the project and your professional development. When I |
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return in 2 weeks I would like to have a conference call with you and Terry to |
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better understand how we can help you going forward. Please could you respond |
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to confirm that you have received this email. Regards, William |
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- text: 'Hi Jonathan, Thank you for your message. I am glad about your excitment on |
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this assignment that is important to us, and I hear your will to develop into |
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an engenier team leader role which I think is a topic that can be discuss.In order |
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to take you to that role, it is important to work on of your development area |
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that concern the way you report your analysis.You have a great talent to collect |
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data and get new creative ideas, and it is crucial to make you able to be more |
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experienced in business writing to make sure that you adress your conclusions |
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in a sharp and concise way, avoiding too much commentary.I propose you to write |
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down your current reports keeping those 2 objectives in mind: avoid too much commentary |
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and focus on the main data that support your conclusions.I suggest you get inspired |
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from other reports done internally, that will help you understand better the formalism |
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the report should have.Then, let is discuss together the outcome of your report, |
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and I would specially would like to know more about the many application you identify |
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for Beta Technology that may bring new business opportunity. Just a tip, quantify |
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your comments, always.See you soon, and we will have the opportunity to take the |
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time to discuss your development plan based on your capacity to be more straight |
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to the point in your reports.I am sure you will make a difference. Good luck, |
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William' |
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- text: Hey Jonathan! I've been in touch with Terry, I'm so glad to hear how much |
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you are enjoying the Beta Project, I even hear you are hoping that this experience |
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will further your ambitions toward a Lead Engineer position! However, I understand |
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there has been some issues with your reports that Terry has brought up with you, |
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and I wanted to take a few minutes to discuss them.1) Opinion vs. FactsYour reports |
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contain a lot of insights about what the data means, and at times finding the |
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specific hard facts can be difficult.2) Level of DetailYou include every bit of |
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data that you can into your reports, which can make it difficult to take away |
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the larger picture.I want to encourage you to take these things away for the following |
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reasons:1) your reports are reviewed by everyone in upper management, including |
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the CEO! The opinions you have are great, but when evaluating documents the CEO |
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just needs to highest level, most important items. The nitty-gritty would fall |
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to another department2) as you have a desire to move up and be a Lead Engineer, |
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these kinds of reports will be more and more common. Keeping your thoughts organized |
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and well documented is going to become a very important skill to have.For your |
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next report I would like you to prepare a cover sheet that goes with the report. |
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This cover sheet should be a single page highlighting only the key facts of the |
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report. Your own opinions and analysis can be included, but let those who are |
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interested read it on their own time, the high level facts are key for the meeting |
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they will be presented in. I would also encourage you to make sure the rest of |
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the report has clearly defined headings and topics, so it is easy to find information |
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related to each item. I |
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- text: Good Afternoon Jonathan, I hope you are well and the travelling is not too |
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exhausting. I wanted to touch base with you to see how you are enjoying working |
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with the Beta project team? I have been advised that you are a great contributor |
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and are identifying some great improvements, so well done. I understand you are |
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completing a lot of reports and imagine this is quite time consuming which added |
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to your traveling must be quite overwhelming. I have reviewed some of your reports |
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and whilst they provide all the technical information that is required, they are |
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quite lengthy and i think it would be beneficial for you to have some training |
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on report structures. This would mean you could spend less time on the reports |
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by providing only the main facts needed and perhaps take on more responsibility. When |
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the reports are reviewed by higher management they need to be able to clearly |
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and quickly identify any issues. Attending some training would also be great to |
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add to your career profile for the future. In the meantime perhaps you could review |
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your reports before submitting to ensure they are clear and consise with only |
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the technical information needed,Let me know your thoughts. Many thanks again |
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and well done for all your hard work. Kind regards William |
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- text: 'Jonathan, First I want to thank you for your help with the Beta project. However, it |
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has been brought to my attention that perhaps ABC-5 didn''t do enough to prepare |
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you for the extra work and I would like to discuss some issues. The nature of |
|
these reports requires them to be technical in nature. Your insights are very |
|
valuable and much appreciated but as the old line goes "please give me just the |
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facts". Given the critical nature of the information you are providing I can''t |
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stress the importance of concise yet detail factual reports. I would like to |
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review your reports as a training exercise to help you better meet the team requirements. Given |
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that there are some major reports coming up in the immediate future, I would like |
|
you to review some training options and then present a report for review. Again |
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your insights are appreciated but we need to make sure we are presenting the end-use |
|
with only the information they need to make a sound business decision. I also |
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understand you would like to grow into a leadership position so I would like to |
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discuss how successfully implementing these changes would be beneficial in demonstrating |
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an ability to grow and take on new challenges. ' |
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pipeline_tag: text-classification |
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inference: true |
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base_model: sentence-transformers/all-MiniLM-L6-v2 |
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model-index: |
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- name: SetFit with sentence-transformers/all-MiniLM-L6-v2 |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: Unknown |
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type: unknown |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.6153846153846154 |
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name: Accuracy |
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--- |
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|
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# SetFit with sentence-transformers/all-MiniLM-L6-v2 |
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This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) 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. |
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The model has been trained using an efficient few-shot learning technique that involves: |
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1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning. |
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2. Training a classification head with features from the fine-tuned Sentence Transformer. |
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## Model Details |
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### Model Description |
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- **Model Type:** SetFit |
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- **Sentence Transformer body:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) |
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- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance |
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- **Maximum Sequence Length:** 256 tokens |
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- **Number of Classes:** 2 classes |
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<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) --> |
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<!-- - **Language:** Unknown --> |
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<!-- - **License:** Unknown --> |
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### Model Sources |
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- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit) |
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- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055) |
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit) |
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### Model Labels |
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| Label | Examples | |
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|:------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| 0 | <ul><li>'Hi Jonathan, and I hope your travels are going well. As soon as you get a chance, I would like to catch up on the reports you are creating for the Beta projects. Your contributions have been fantastic, but we need to limit the commentary and make them more concise. I would love to get your perspective and show you an example as well. Our goal is to continue to make you better at what you do and to deliver an excellent customer experience. Looking forward to tackling this together and to your dedication to being great at what you do. Safe travels and I look forward to your call.'</li><li>'Hello Jonathan, I hope you day is going well. The purpose of this msg is to improve your communication regarding your work on the Beta Project. You are important which is why we need to make sure that your thoughts and Ideas are clearly communicated with helpful factual info. I want to get your thoughts on how you best communicate and your thoughts on how to communicate more concisely. Please come up with 2-3 suggestions as will I and lets set up a time within the next 48 hours that you and I can build a plan that will help ensure your great work is being understood for the success of Beta. I am confident that we will develop a plan that continues allow your work to help the program. Please meg me what time works best for you when you end your travel. Best, William'</li></ul> | |
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| 1 | <ul><li>"Hi Jonathan, As you know I've been away on another assignment, but I just got a download from Terry on your performance so far on the Beta project and wanted to connect with you. The team is happy with your improvement suggestions, genuine enthusiasm for the project, and everyone really likes working with you. I appreciate your commitment, and I know that travel isn't always easy. Terry has shared some of your reporting techniques with me. While we appreciate your insights and attention to detail, we are going to need you to shift gears a little to help the team make their deadlines. It is difficult for the team to easily separate facts from opinions in your reports, and it would be much easier for them to pass on the great information you're sharing if your reports were more concise and organized.I know this change in work habit might be a challenge for you, but it is imperative for the success of the project. That being said, I've come up with a game plan for getting your reports to where the team needs them to be for success. Terry has a lot of experience in business writing, and since he is responsible for passing on your reports to customers and our executive leadership team, I've asked him to sit with you for a couple of hours this week to share some of his edits on your previous reports. This is not in any way a negative exercise, and I really believe it will help both you and the team throughout the project. Please take this opportunity as a learning experience, and reach out to Terry ASAP to schedule the time! Please shoot me a note with your thoughts on this, and let me know if you have any additional ideas on how to further improve the Beta project reporting. I'm looking forward to hearing from you, and will check in with Terry as well after you two meet. Thanks! William"</li><li>"Hi Jonathan, I hope you are doing well. Unfortunately I won't be able to talk to you personally but as soon as I am back I would like to spend some time with you. I know you are working on Beta project and your involvement is highly appreciated\xa0, you even identified improvements the team didn't identify, that's great! This Beta project is key for the company, we need to success all together. In that respect, key priorities are to build concise reports and with strong business writing. Terry has been within the company for 5 years and is the best one to be consulted to upskill in these areas. Could you please liaise with him and get more quick wins from him. It will be very impactful in your career. We will discuss once I'm back about this sharing experience. I'm sure you will find a lot of benefits. Regards William"</li></ul> | |
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## Evaluation |
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### Metrics |
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| Label | Accuracy | |
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|:--------|:---------| |
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| **all** | 0.6154 | |
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## Uses |
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### Direct Use for Inference |
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First install the SetFit library: |
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```bash |
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pip install setfit |
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``` |
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Then you can load this model and run inference. |
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```python |
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from setfit import SetFitModel |
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# Download from the 🤗 Hub |
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model = SetFitModel.from_pretrained("diegofiggie/empathy_task") |
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# Run inference |
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preds = model("Jonathan, First I want to thank you for your help with the Beta project. However, it has been brought to my attention that perhaps ABC-5 didn't do enough to prepare you for the extra work and I would like to discuss some issues. The nature of these reports requires them to be technical in nature. Your insights are very valuable and much appreciated but as the old line goes \"please give me just the facts\". Given the critical nature of the information you are providing I can't stress the importance of concise yet detail factual reports. I would like to review your reports as a training exercise to help you better meet the team requirements. Given that there are some major reports coming up in the immediate future, I would like you to review some training options and then present a report for review. Again your insights are appreciated but we need to make sure we are presenting the end-use with only the information they need to make a sound business decision. I also understand you would like to grow into a leadership position so I would like to discuss how successfully implementing these changes would be beneficial in demonstrating an ability to grow and take on new challenges. ") |
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``` |
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## Training Details |
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### Training Set Metrics |
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| Training set | Min | Median | Max | |
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|:-------------|:----|:-------|:----| |
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| Word count | 114 | 187.5 | 338 | |
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| Label | Training Sample Count | |
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|:------|:----------------------| |
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| 0 | 2 | |
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| 1 | 2 | |
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### Training Hyperparameters |
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- batch_size: (16, 16) |
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- num_epochs: (1, 1) |
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- max_steps: -1 |
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- sampling_strategy: oversampling |
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- num_iterations: 20 |
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- body_learning_rate: (2e-05, 2e-05) |
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- head_learning_rate: 2e-05 |
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- loss: CosineSimilarityLoss |
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- distance_metric: cosine_distance |
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- margin: 0.25 |
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- end_to_end: False |
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- use_amp: False |
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- warmup_proportion: 0.1 |
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- seed: 42 |
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- eval_max_steps: -1 |
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- load_best_model_at_end: False |
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### Training Results |
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| Epoch | Step | Training Loss | Validation Loss | |
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|:-----:|:----:|:-------------:|:---------------:| |
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| 0.1 | 1 | 0.1814 | - | |
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### Framework Versions |
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- Python: 3.10.9 |
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- SetFit: 1.0.3 |
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- Sentence Transformers: 2.4.0 |
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- Transformers: 4.38.1 |
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- PyTorch: 2.2.1+cpu |
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- Datasets: 2.17.1 |
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- Tokenizers: 0.15.2 |
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## Citation |
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### BibTeX |
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```bibtex |
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@article{https://doi.org/10.48550/arxiv.2209.11055, |
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doi = {10.48550/ARXIV.2209.11055}, |
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url = {https://arxiv.org/abs/2209.11055}, |
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author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren}, |
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, |
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title = {Efficient Few-Shot Learning Without Prompts}, |
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publisher = {arXiv}, |
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year = {2022}, |
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copyright = {Creative Commons Attribution 4.0 International} |
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} |
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``` |
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