--- library_name: setfit tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer datasets: - CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07 metrics: - accuracy widget: - text: "30, 2006, we adopted the provisions of SFAS No. 123(R), which establishes\ \ accounting for stock-based awards exchanged for employee services. Accordingly,\ \ stock-based compensation cost is measured at grant date, based on the fair value\ \ of the awards, and is recognized as expense over the requisite employee service\ \ period. Stock-based compensation expense recognized during fiscal years 2008\ \ and 2007 was $133.4 million and $116.7 million, respectively, which consisted\ \ of stock-based compensation expense related to stock options and our employee\ \ stock purchase plan. Please refer to Note 2 of the Notes to Consolidated Financial\ \ Statements for further information.\n\n \n\n We elected to adopt the modified\ \ prospective application method beginning January 30, 2006 as provided by SFAS\ \ No. 123(R). We recognize stock-based compensation expense using the straight-line\ \ attribution method. We estimate the value of employee stock options on the date\ \ of grant using a binomial model. Prior to the adoption of SFAS No. 123(R), we\ \ recorded stock-based compensation expense equal to the amount that would have\ \ been recognized if the fair value method was used, for the purpose of the pro\ \ forma financial information provided in accordance with Statement of Financial\ \ Accounting Standards No. 123, or SFAS No. 123, Accounting for Stock-Based Compensation,\ \ as amended by SFAS No. 148, Accounting for Stock-Based Compensation - Transition\ \ and Disclosures.\n\n \n\n At the beginning of fiscal year 2006, we transitioned\ \ from a Black-Scholes model to a binomial model for calculating the estimated\ \ fair value of new stock-based compensation awards granted under our stock option\ \ plans. The determination of fair value of share-based payment awards on the\ \ date of grant using an option-pricing model is affected by our stock price as\ \ well as assumptions regarding a number of highly complex and subjective variables.\ \ These variables include, but are not limited to, the expected stock price volatility\ \ over the term of the awards, actual and projected employee stock option exercise\ \ behaviors, vesting schedules, death and disability probabilities, expected volatility\ \ and risk-free interest. Our management determined that the use of implied volatility\ \ is expected to be more reflective of market conditions and, therefore, could\ \ reasonably be expected to be a better indicator of our expected volatility than\ \ historical volatility. The risk-free interest rate assumption is based upon\ \ observed interest rates appropriate for the term of our employee stock options.\ \ The dividend yield assumption is based on the history and expectation of dividend\ \ payouts. We began segregating options into groups for employees with relatively\ \ homogeneous exercise behavior in order to calculate the best estimate of fair\ \ value using the binomial valuation model.\n\nUsing the binomial model, the fair\ \ value of the stock options granted under our stock option plans have been estimated\ \ using the following assumptions during the year ended January 27, 2008:\n\n\ \ \n\n For our employee stock purchase plan we continue to use the Black-Scholes\ \ model. The fair value of the shares issued under the employee stock purchase\ \ plan has" - text: "local resources; help focus the bottler's sales and marketing programs; assist\ \ in the development of the bottler's business and information systems; and establish\ \ an appropriate capital structure for the bottler. \n\nOur Company has a long\ \ history of providing world-class customer service, demonstrating leadership\ \ in the marketplace and leveraging the talent of our global workforce. In addition,\ \ we have an experienced bottler management team. All of these factors are critical\ \ to build upon as we manage our growing bottling and distribution operations.\ \ \n\nThe Company has a deep commitment to continuously improving our business.\ \ This includes our efforts to develop innovative packaging and merchandising\ \ solutions which help drive demand for our beverages and meet the growing needs\ \ of our consumers. As we further transform the way we go to market, the Company\ \ continues to seek out ways to be more efficient. \n\nChallenges and Risks \n\ \nBeing global provides unique opportunities for our Company. Challenges and risks\ \ accompany those opportunities. Our management has identified certain challenges\ \ and risks that demand the attention of the nonalcoholic beverage segment of\ \ the commercial beverage industry and our Company. Of these, five key challenges\ \ and risks are discussed below. \n\nObesity and Inactive Lifestyles \n\nIncreasing\ \ concern among consumers, public health professionals and government agencies\ \ of the potential health problems associated with obesity and inactive lifestyles\ \ represents a significant challenge to our industry. We recognize that obesity\ \ is a complex public health problem and are committed to being a part of the\ \ solution. This commitment is reflected through our broad portfolio, with a beverage\ \ to suit every caloric and hydration need. \n\nAll of our beverages can be consumed\ \ as part of a balanced diet. Consumers who want to reduce the calories they consume\ \ from beverages can choose from our continuously expanding portfolio of more\ \ than 800 low- and no-calorie beverages, nearly 25 percent of our global portfolio,\ \ as well as our regular beverages in smaller portion sizes. We believe in the\ \ importance and power of “informed choice,” and we continue to support the fact-based\ \ nutrition labeling and education initiatives that encourage people to live active,\ \ healthy lifestyles. Our commitment also includes creating and adhering to responsible\ \ policies in schools and in the marketplace; supporting programs to encourage\ \ physical activity and promote nutrition education; and continuously meeting\ \ changing consumer needs through beverage innovation, choice and variety. We\ \ recognize the health of our business is interwoven with the well-being of our\ \ consumers, our employees and the communities we serve, and we are working in\ \ cooperation with governments, educators and consumers. \n\nWater Quality and\ \ Quantity \n\nWater quality and quantity is an issue that increasingly requires\ \ our Company's attention and collaboration with other companies, suppliers, governments,\ \ nongovernmental organizations and communities where we operate. Water is the\ \ main ingredient in substantially all of our products and is needed to produce\ \ the agricultural ingredients on" - text: "over a fixed 17-year period and is calculated using an 8.85% interest rate.\ \ \n\n \n\nWhile the Pension Protection Act makes our funding obligations for\ \ these plans more predictable, factors outside our control continue to have an\ \ impact on the funding requirements. Estimates of future funding requirements\ \ are based on various assumptions and can vary materially from actual funding\ \ requirements. Assumptions include, among other things, the actual and projected\ \ market performance of assets; statutory requirements; and demographic data for\ \ participants. For additional information, see Note 10 of the Notes to the Consolidated\ \ Financial Statements. \n\n\n\nRecent Accounting Standards \n\n \n\nRevenue\ \ Arrangements with Multiple Deliverables. In October 2009, the Financial Accounting\ \ Standards Board (\"FASB\") issued ASU 200913. The standard (1) revises guidance\ \ on when individual deliverables may be treated as separate units of accounting,\ \ (2) establishes a selling price hierarchy for determining the selling price\ \ of a deliverable, (3) eliminates the residual method for revenue recognition\ \ and (4) provides guidance on allocating consideration among separate deliverables.\ \ It applies only to contracts entered into or materially modified after December\ \ 31, 2010. We adopted this standard on a prospective basis beginning January\ \ 1, 2011. We determined that the only revenue arrangements impacted by the adoption\ \ of this standard are those associated with our SkyMiles Program. \n\n \n\n\ Fair Value Measurement and Disclosure Requirements. In May 2011, the FASB issued\ \ \"Amendments to Achieve Common Fair Value Measurement and Disclosure Requirements\ \ in U.S. GAAP and IFRSs.\" The standard revises guidance for fair value measurement\ \ and expands the disclosure requirements. It is effective prospectively for fiscal\ \ years beginning after December 15, 2011. We are currently evaluating the impact\ \ the adoption of this standard will have on our Consolidated Financial Statements.\ \ \n\n \n\nSupplemental Information \n\n \n\nWe sometimes use information that\ \ is derived from the Consolidated Financial Statements, but that is not presented\ \ in accordance with accounting principles generally accepted in the U.S. (“GAAP”).\ \ Certain of this information are considered to be “non-GAAP financial measures”\ \ under the U.S. Securities and Exchange Commission rules. The non-GAAP financial\ \ measures should be considered in addition to results prepared in accordance\ \ with GAAP, but should not be considered a substitute for or superior to GAAP\ \ results. \n\n \n\nThe following tables show reconciliations of non-GAAP financial\ \ measures to the most directly comparable GAAP financial measures. \n\n \n\n\ We exclude the following items from CASM to determine CASM-Ex: \n\n \n\n•\tAircraft\ \ fuel and related taxes. Management believes the volatility in fuel prices impacts\ \ the comparability of year-over-year financial performance. \n\n \n\n•\tAncillary\ \ businesses . Ancillary businesses are not related to the generation of a seat\ \ mile. These businesses include aircraft maintenance and staffing services we\ \ provide to third parties and our vacation wholesale operations. \n\n \n\n•\t\ Profit sharing. Management believes the exclusion of this item" - text: 'Organic local-currency sales increased 4.0 percent and acquisitions added 1.4 percent. Acquisition growth was largely due to the October 2011 acquisition of the do-it-yourself and professional business of GPI Group and the April 2010 acquisition of the A-One branded label business and related operations. A-One is the largest branded label business in Asia and the second largest worldwide. 3M also acquired Hybrivet Systems Inc. in the first quarter of 2011, a provider of instant-read products to detect lead and other contaminants and toxins. Foreign currency impacts contributed 2.4 percent to sales growth in the Consumer and Office segment.   On a geographic basis, sales increased in all regions, led by Asia Pacific, Latin America/Canada and Europe, which all had sales growth rates in excess of 10 percent. U.S. sales also grew, albeit at a slower rate.   Consumer and Office operating income was flat when comparing 2011 to 2010, reflecting continued ongoing investments in developing economies in brand development and marketing and sales coverage. Even with these investments, Consumer and Office generated operating income margins of 20.2 percent. Safety, Security and Protection Services Business (12.7% of consolidated sales):   The Safety, Security and Protection Services segment serves a broad range of markets that increase the safety, security and productivity of workers, facilities and systems. Major product offerings include personal protection products, cleaning and protection products for commercial establishments, safety and security products (including border and civil security solutions), roofing granules for asphalt shingles, infrastructure protection products used in the oil and gas pipeline markets, and track and trace solutions.   Year 2012 results:   Safety, Security and Protection Services sales totaled $3.8 billion, down 0.5 percent in U.S. dollars. Organic local-currency sales grew 2.2 percent and foreign currency translation reduced sales by 2.7 percent. Organic local-currency sales growth was led by infrastructure protection and personal safety, with growth also in building and commercial services and roofing granules.   2012 organic local-currency sales declined 18 percent in security systems, as government spending for security solutions has been declining over the last few years. As discussed later in the “Critical Accounting Estimates” section, 3M will continue to monitor this business to assess whether long-term expectations have been significantly impacted such that an asset or goodwill impairment test would be required. The Company completed its annual goodwill impairment test in the fourth quarter of 2012, with no impairment indicated.   Geographically, organic local-currency sales increased 19 percent in Latin America/Canada. Organic local-currency sales were flat in Asia Pacific and the United States, and declined 2 percent in EMEA.   The combination of selling price increases and raw material cost reductions, plus factory efficiencies, drove a 4.1 percent increase in operating income. Operating income margins increased 1.0 percentage points to 22.3 percent.   Year 2011 results:   Safety,' - text: "but are generally subject to refinement during the purchase price allocation\ \ period (generally within one year of the acquisition date). To estimate restructuring\ \ expenses, management utilizes assumptions of the number of employees that would\ \ be involuntarily terminated and of future costs to operate and eventually vacate\ \ duplicate facilities. Estimated restructuring expenses may change as management\ \ executes the approved plan. Decreases to the cost estimates of executing the\ \ currently approved plans associated with pre-merger activities of the companies\ \ we acquire are recorded as an adjustment to goodwill indefinitely, whereas increases\ \ to the estimates are recorded as an adjustment to goodwill during the purchase\ \ price allocation period and as operating expenses thereafter.\n\n \n\nFor a\ \ given acquisition, we may identify certain pre-acquisition contingencies. If,\ \ during the purchase price allocation period, we are able to determine the fair\ \ value of a pre-acquisition contingency, we will include that amount in the purchase\ \ price allocation. If, as of the end of the purchase price allocation period,\ \ we are unable to determine the fair value of a pre-acquisition contingency,\ \ we will evaluate whether to include an amount in the purchase price allocation\ \ based on whether it is probable a liability had been incurred and whether an\ \ amount can be reasonably estimated. Through fiscal 2009, after the end of the\ \ purchase price allocation period, any adjustment to amounts recorded for a pre-acquisition\ \ contingency, with the exception of unresolved income tax matters, were included\ \ in our operating results in the period in which the adjustment was determined.\n\ \n\n\nFiscal 2010\n\n \n\nIn fiscal 2010, we will adopt FASB Statement No. 141\ \ (revised 2007), Business Combinations . For any business combination that is\ \ consummated pursuant to Statement 141(R), including our proposed acquisition\ \ of Sun described above, we will recognize separately from goodwill, the identifiable\ \ assets acquired, the liabilities assumed, and any noncontrolling interests in\ \ the acquiree generally at their acquisition date fair values as defined by FASB\ \ Statement No. 157, Fair Value Measurements . Goodwill as of the acquisition\ \ date is measured as the excess of consideration transferred, which is also generally\ \ measured at fair value, and the net of the acquisition date amounts of the identifiable\ \ assets acquired and the liabilities assumed.\n\n \n\nThe determination of fair\ \ value will require our management to make significant estimates and assumptions,\ \ with respect to intangible assets acquired, support obligations assumed, and\ \ pre-acquisition contingencies. The assumptions and estimates used in determining\ \ the fair values of these items will be substantially similar upon our adoption\ \ of Statement 141(R) as they were under Statement 141 (see above).\n\n \n\nThe\ \ below discussion lists those areas of Statement 141(R) that we believe, upon\ \ our adoption, require us to apply additional, significant estimates and assumptions.\n\ \n \n\nUpon our adoption of Statement 141(R), any changes to deferred tax asset\ \ valuation allowances and liabilities related to uncertain tax positions will\ \ be recorded in current" pipeline_tag: text-classification inference: true model-index: - name: SetFit results: - task: type: text-classification name: Text Classification dataset: name: CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07 type: CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07 split: test metrics: - type: accuracy value: 0.5833333333333334 name: Accuracy --- # SetFit This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07](https://huggingface.co/datasets/CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07) dataset that can be used for Text Classification. 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 - **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:** 3 classes - **Training Dataset:** [CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07](https://huggingface.co/datasets/CabraVC/vector_dataset_stratified_ttv_split_2023-12-05_21-07) ### 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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| BUY | | | SELL | | | HOLD | | ## Evaluation ### Metrics | Label | Accuracy | |:--------|:---------| | **all** | 0.5833 | ## 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("setfit_model_id") # Run inference preds = model("Organic local-currency sales increased 4.0 percent and acquisitions added 1.4 percent. Acquisition growth was largely due to the October 2011 acquisition of the do-it-yourself and professional business of GPI Group and the April 2010 acquisition of the A-One branded label business and related operations. A-One is the largest branded label business in Asia and the second largest worldwide. 3M also acquired Hybrivet Systems Inc. in the first quarter of 2011, a provider of instant-read products to detect lead and other contaminants and toxins. Foreign currency impacts contributed 2.4 percent to sales growth in the Consumer and Office segment.   On a geographic basis, sales increased in all regions, led by Asia Pacific, Latin America/Canada and Europe, which all had sales growth rates in excess of 10 percent. U.S. sales also grew, albeit at a slower rate.   Consumer and Office operating income was flat when comparing 2011 to 2010, reflecting continued ongoing investments in developing economies in brand development and marketing and sales coverage. Even with these investments, Consumer and Office generated operating income margins of 20.2 percent. Safety, Security and Protection Services Business (12.7% of consolidated sales):   The Safety, Security and Protection Services segment serves a broad range of markets that increase the safety, security and productivity of workers, facilities and systems. Major product offerings include personal protection products, cleaning and protection products for commercial establishments, safety and security products (including border and civil security solutions), roofing granules for asphalt shingles, infrastructure protection products used in the oil and gas pipeline markets, and track and trace solutions.   Year 2012 results:   Safety, Security and Protection Services sales totaled $3.8 billion, down 0.5 percent in U.S. dollars. Organic local-currency sales grew 2.2 percent and foreign currency translation reduced sales by 2.7 percent. Organic local-currency sales growth was led by infrastructure protection and personal safety, with growth also in building and commercial services and roofing granules.   2012 organic local-currency sales declined 18 percent in security systems, as government spending for security solutions has been declining over the last few years. As discussed later in the “Critical Accounting Estimates” section, 3M will continue to monitor this business to assess whether long-term expectations have been significantly impacted such that an asset or goodwill impairment test would be required. The Company completed its annual goodwill impairment test in the fourth quarter of 2012, with no impairment indicated.   Geographically, organic local-currency sales increased 19 percent in Latin America/Canada. Organic local-currency sales were flat in Asia Pacific and the United States, and declined 2 percent in EMEA.   The combination of selling price increases and raw material cost reductions, plus factory efficiencies, drove a 4.1 percent increase in operating income. Operating income margins increased 1.0 percentage points to 22.3 percent.   Year 2011 results:   Safety,") ``` ## Training Details ### Training Set Metrics | Training set | Min | Median | Max | |:-------------|:----|:---------|:----| | Word count | 431 | 475.4792 | 532 | | Label | Training Sample Count | |:------|:----------------------| | BUY | 6 | | HOLD | 12 | | SELL | 30 | ### Training Hyperparameters - batch_size: (6, 8) - num_epochs: (0, 32) - max_steps: -1 - sampling_strategy: oversampling - body_learning_rate: (0.0, 0.0) - head_learning_rate: 0.0002 - loss: CosineSimilarityLoss - distance_metric: cosine_distance - margin: 0.25 - end_to_end: False - use_amp: False - warmup_proportion: 0.1 - l2_weight: 0.08 - max_length: 512 - seed: 1003200212 - eval_max_steps: -1 - load_best_model_at_end: False ### Framework Versions - Python: 3.11.6 - SetFit: 1.0.1 - Sentence Transformers: 2.2.2 - Transformers: 4.35.2 - PyTorch: 2.1.1 - Datasets: 2.15.0 - Tokenizers: 0.15.0 ## 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} } ```