--- library_name: setfit tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer base_model: sentence-transformers/multi-qa-mpnet-base-cos-v1 metrics: - accuracy widget: - text: authority to select projects and mandated new metropolitan planning initiatives for the first time state transportation officials were required to consult seriously with local representatives on mpo governing boards regarding matters of project prioritization and decisionmaking these changes had their roots in the need to address increasingly difficult transportation problems — in particular the more complicated patterns of traffic congestion that arose with the suburban development boom in the previous decades many recognized that the problems could only be addressed effectively through a stronger federal commitment to regional planning the legislation that emerged the intermodal surface transportation efficiency act istea was signed into federal law by president george h w bush in december 1991 it focused on improving transportation not as an end in itself but as the means to achieve important national goals including economic progress cleaner air energy conservation and social equity istea promoted a transportation system in which different modes and facilities — highway transit pedestrian bicycle aviation and marine — were integrated to allow a seamless movement of both goods and people new funding programs provided greater flexibility in the use of funds particularly regarding using previously restricted highway funds for transit development improved intermodal connections and emphasized upgrades to existing facilities over building new capacity — particularly roadway capacity to accomplish more serious metropolitan planning istea doubled federal funding for mpo operations and required the agencies to evaluate a variety of multimodal solutions to roadway congestion and other transportation problems mpos also were required to broaden public participation in the planning process and to see that investment decisions contributed to meeting the air quality standards of the clean air act amendments in addition istea placed a new requirement on mpos to conduct fiscally constrained planning and ensure that longrange transportation plans and shortterm transportation improvement programs were fiscally constrained in other words adopted plans and programs can not include more projects than reasonably can be expected to be funded through existing or projected sources of revenues this new requirement represented a major conceptual shift for many mpos and others in the planning community since the imposition of fiscal discipline on plans now required not only understanding how much money might be available but how to prioritize investment needs and make difficult choices among competing needs adding to this complexity is the need to plan across transportation modes and develop approaches for multimodal investment prioritization and decision making it is in this context of greater prominence funding and requirements that mpos function today an annual element is composed of transportation improvement projects contained in an areas transportation improvement program tip which is proposed for implementation during the current year the annual element is submitted to the us department of transportation as part of the required planning process the passage of safe accountable flexible efficient transportation equity act a legacy for users safetealu - text: '##pignygiroux served as an assistant professor from 1997 2003 associate professor from 2003 2014 chair of the department of geography from 2015 2018 and professor beginning in 2014 with secondary appointments in department of geology the college of education social services and rubenstein school of environment natural resources she teaches courses in meteorology climatology physical geography remote sensing and landsurface processes in her work as state climatologist for vermont dupignygiroux uses her expertise hydrology and extreme weather such as floods droughts and storms to keep the residents of vermont informed on how climate change will affect their homes health and livelihoods she assists other state agencies in preparing for and adapting to current and future impacts of climate change on vermonts transportation system emergency management planning and agriculture and forestry industries for example she has published analyses of the impacts of climate change on the health of vermonts sugar maples a hardwood species of key economic and cultural importance to the state as cochair of vermonts state ’ s drought task force she played a key role in developing the 2018 vermont state hazard mitigation plandupignygiroux served as secretary for the american association of state climatologists from 20102011 and president elect from 20192020 in june 2020 she was elected as president of the american association of state climatologists which is a twoyear term in addition to her research on climate change dupignygiroux is known for her efforts to research and promote climate literacy climate literacy is an understanding of the influences of and influences on the climate system including how people change the climate how climate metrics are observed and modelled and how climate change affects society “ being climate literate is more critical than ever before ” lesleyann dupignygiroux stated for a 2020 article on climate literacy “ if we do not understand weather climate and climate change as intricate and interconnected systems then our appreciation of the big picture is lost ” dupignygiroux is known for her climate literacy work with elementary and high school teachers and students she cofounded the satellites weather and climate swac project in 2008 which is a professional development program for k12 teachers designed to promote climate literacy and interest in the stem science technology engineering and mathematics careers dupignygiroux is also a founding member of the climate literacy and energy awareness network clean formerly climate literacy network a communitybased effort to support climate literacy and communication in a 2016 interview dupignygiroux stated “ sharing knowledge and giving back to my community are my two axioms in life watching students mature and flourish in' - text: no solutions to x n y n z n displaystyle xnynzn for all n ≥ 3 displaystyle ngeq 3 this claim appears in his annotations in the margins of his copy of diophantus euler the interest of leonhard euler 1707 – 1783 in number theory was first spurred in 1729 when a friend of his the amateur goldbach pointed him towards some of fermats work on the subject this has been called the rebirth of modern number theory after fermats relative lack of success in getting his contemporaries attention for the subject eulers work on number theory includes the following proofs for fermats statements this includes fermats little theorem generalised by euler to nonprime moduli the fact that p x 2 y 2 displaystyle px2y2 if and only if p ≡ 1 mod 4 displaystyle pequiv 1bmod 4 initial work towards a proof that every integer is the sum of four squares the first complete proof is by josephlouis lagrange 1770 soon improved by euler himself the lack of nonzero integer solutions to x 4 y 4 z 2 displaystyle x4y4z2 implying the case n4 of fermats last theorem the case n3 of which euler also proved by a related method pells equation first misnamed by euler he wrote on the link between continued fractions and pells equation first steps towards analytic number theory in his work of sums of four squares partitions pentagonal numbers and the distribution of prime numbers euler pioneered the use of what can be seen as analysis in particular infinite series in number theory since he lived before the development of complex analysis most of his work is restricted to the formal manipulation of power series he did however do some very notable though not fully rigorous early work on what would later be called the riemann zeta function quadratic forms following fermats lead euler did further research on the question of which primes can be expressed in the form x 2 n y 2 displaystyle x2ny2 some of it prefiguring quadratic reciprocity diophantine equations euler worked on some diophantine equations of genus 0 and 1 in particular he studied diophantuss work he tried to systematise it but the time was not yet ripe for such an endeavour — algebraic geometry was still in its infancy he did notice there was a connection between diophantine problems and elliptic integrals whose study he had himself initiated lagrange legendre and gauss josephlouis - text: sediment profile imagery spi is an underwater technique for photographing the interface between the seabed and the overlying water the technique is used to measure or estimate biological chemical and physical processes occurring in the first few centimetres of sediment pore water and the important benthic boundary layer of water timelapse imaging tspi is used to examine biological activity over natural cycles like tides and daylight or anthropogenic variables like feeding loads in aquaculture spi systems cost between tens and hundreds of thousands of dollars and weigh between 20 and 400 kilograms traditional spi units can be effectively used to explore continental shelf and abyssal depths recently developed spiscan or rspi rotational spi systems can now also be used to inexpensively investigate shallow 50m freshwater estuarine and marine systems humans are strongly visually oriented we like information in the form of pictures and are able to integrate many different kinds of data when they are presented in one or more images it seems natural to seek a way of directly imaging the sedimentwater interface in order to investigate animalsediment interactions in the marine benthos rhoads and cande 1971 took pictures of the sedimentwater interface at high resolution submillimetre over small spatial scales centimetres in order to examine benthic patterns through time or over large spatial scales kilometres rapidly slicing into seabeds and taking pictures instead of physical cores they analysed images of the vertical sediment profile in a technique that came to be known as spi this technique advanced in subsequent decades through a number of mechanical improvements and digital imaging and analysis technology spi is now a wellestablished approach accepted as standard practice in several parts of the world though its wider adoption has been hampered partly because of equipment cost deployment and interpretation difficulties it has also suffered some paradigm setbacks the amount of information that a person can extract from imagery in general is not easily and repeatedly reduced to quantifiable and interpretable values but see pech et al 2004 tkachenko 2005 sulston and ferry 2002 wrote about this difficulty in relation to the study of the human genome electron microscope images of their model organism caenorhabditis elegans carried a lot of information but were ignored by many scientists because they were not readily quantified yet that pictorial information ultimately resulted in a deep and quantifiable understanding of underlying principles and mechanisms in the same way spi has been used successfully by focusing on the integration of visual data and a few objectively quantifiable parameters in site reconnaissance and monitoring conventional diving is limited to shallow waters remotely sampling deeper sediments of high water content is often unreliable due - text: 1942 it now had a usable range of approximately 40 km conical scan was used for fine accuracy the iff antenna was now fitted in the center of the dish rather than on the sides better instruments were fitted and generally it was the best of the small wurzburgfumg 65 wurzburg riesegiant the electronics of the d model wurzburg combined with a 7meter dish to improve resolution and range range approx 70 km version e was a modified unit to fit on railroad flatcars to produce a mobile flak radar system version g had the 24meter antenna and electronics from a freya installed the antenna dipoles were inside the reflector the reason for this was that the allies were flying very high recon flights which were above the maximum height of the freya the standard wurzburg rieses 50 cm beam was too narrow to find them directly by combining the two systems the freya could set the wurzburg riese onto the target fumg 63 mainz the mainz introduced in 1941 was a development from the wurzburg with its 3meter solid metal reflector mounted on top of the same type of control car as used by the ‘ kurmark ’ its range was 25 – 35 km with an accuracy of ±10 – 20 meters azimuth 01 degrees and elevation ±0305 degrees only 51 units were produced before being superseded by the ‘ mannheim ’ fumg 64 mannheim the mannheim was an advanced development from the ‘ mainz ’ it also had a 3meter reflector which was now made from a lattice framework covered in a fine mesh this was fixed to the front of a control cabin and the whole apparatus was rotated electrically its range was 25 – 35 km with an accuracy of ±10 – 15 meters azimuth and elevation accuracy of ±015 degrees though accurate enough to control flak guns it was not deployed in large numbers this was due to its cost time and materials to manufacture was about three times that of a wurzburg d fumg 75 mannheim riese just as the wurzburgs performance was greatly improved when fitted with a 7meter reflector so was the mannheims and the result called a mannheim riese giant mannheim there was an optical device for the initial visual acquisition of the target with its narrow beam it was relatively immune from ‘ window ’ its accuracy and automatic tracking enabled it to be used in antiaircraft missile research to track and control the missiles in flight only a handful were manufactured fumg 68 ansbach there was a need for a mobile radar with the range and accuracy of the ‘ mannheim ’ the result in 1944 was the ansbach it pipeline_tag: text-classification inference: true model-index: - name: SetFit with sentence-transformers/multi-qa-mpnet-base-cos-v1 results: - task: type: text-classification name: Text Classification dataset: name: Unknown type: unknown split: test metrics: - type: accuracy value: 0.6816965991593428 name: Accuracy --- # SetFit with sentence-transformers/multi-qa-mpnet-base-cos-v1 This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/multi-qa-mpnet-base-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-cos-v1) as the Sentence Transformer embedding model. A [SetFitHead](huggingface.co/docs/setfit/reference/main#setfit.SetFitHead) 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:** [sentence-transformers/multi-qa-mpnet-base-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-cos-v1) - **Classification head:** a [SetFitHead](huggingface.co/docs/setfit/reference/main#setfit.SetFitHead) instance - **Maximum Sequence Length:** 512 tokens - **Number of Classes:** 43 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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| 5 | | | 17 | | | 0 | | | 15 | | | 29 | | | 28 | | | 16 | | | 40 | | | 30 | | | 10 | | | 37 | | | 4 | | | 26 | | | 20 | | | 13 | | | 33 | | | 7 | | | 3 | | | 21 | | | 32 | | | 19 | | | 36 | | | 42 | | | 2 | | | 39 | | | 27 | | | 24 | | | 9 | | | 8 | | | 25 | | | 34 | | | 23 | | | 12 | | | 31 | | | 38 | | | 6 | | | 18 | | | 14 | | | 11 | | | 41 | | | 22 | | | 35 | | | 1 | | ## Evaluation ### Metrics | Label | Accuracy | |:--------|:---------| | **all** | 0.6817 | ## 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("udrearobert999/multi-qa-mpnet-base-cos-v1-scon-poc") # Run inference preds = model("no solutions to x n y n z n displaystyle xnynzn for all n ≥ 3 displaystyle ngeq 3 this claim appears in his annotations in the margins of his copy of diophantus euler the interest of leonhard euler 1707 – 1783 in number theory was first spurred in 1729 when a friend of his the amateur goldbach pointed him towards some of fermats work on the subject this has been called the rebirth of modern number theory after fermats relative lack of success in getting his contemporaries attention for the subject eulers work on number theory includes the following proofs for fermats statements this includes fermats little theorem generalised by euler to nonprime moduli the fact that p x 2 y 2 displaystyle px2y2 if and only if p ≡ 1 mod 4 displaystyle pequiv 1bmod 4 initial work towards a proof that every integer is the sum of four squares the first complete proof is by josephlouis lagrange 1770 soon improved by euler himself the lack of nonzero integer solutions to x 4 y 4 z 2 displaystyle x4y4z2 implying the case n4 of fermats last theorem the case n3 of which euler also proved by a related method pells equation first misnamed by euler he wrote on the link between continued fractions and pells equation first steps towards analytic number theory in his work of sums of four squares partitions pentagonal numbers and the distribution of prime numbers euler pioneered the use of what can be seen as analysis in particular infinite series in number theory since he lived before the development of complex analysis most of his work is restricted to the formal manipulation of power series he did however do some very notable though not fully rigorous early work on what would later be called the riemann zeta function quadratic forms following fermats lead euler did further research on the question of which primes can be expressed in the form x 2 n y 2 displaystyle x2ny2 some of it prefiguring quadratic reciprocity diophantine equations euler worked on some diophantine equations of genus 0 and 1 in particular he studied diophantuss work he tried to systematise it but the time was not yet ripe for such an endeavour — algebraic geometry was still in its infancy he did notice there was a connection between diophantine problems and elliptic integrals whose study he had himself initiated lagrange legendre and gauss josephlouis") ``` ## Training Details ### Training Set Metrics | Training set | Min | Median | Max | |:-------------|:----|:---------|:----| | Word count | 2 | 375.0186 | 509 | | Label | Training Sample Count | |:------|:----------------------| | 0 | 10 | | 1 | 10 | | 2 | 10 | | 3 | 10 | | 4 | 10 | | 5 | 10 | | 6 | 10 | | 7 | 10 | | 8 | 10 | | 9 | 10 | | 10 | 10 | | 11 | 10 | | 12 | 10 | | 13 | 10 | | 14 | 10 | | 15 | 10 | | 16 | 10 | | 17 | 10 | | 18 | 10 | | 19 | 10 | | 20 | 10 | | 21 | 10 | | 22 | 10 | | 23 | 10 | | 24 | 10 | | 25 | 10 | | 26 | 10 | | 27 | 10 | | 28 | 10 | | 29 | 10 | | 30 | 10 | | 31 | 10 | | 32 | 10 | | 33 | 10 | | 34 | 10 | | 35 | 10 | | 36 | 10 | | 37 | 10 | | 38 | 10 | | 39 | 10 | | 40 | 10 | | 41 | 10 | | 42 | 10 | ### Training Hyperparameters - batch_size: (16, 16) - num_epochs: (4, 8) - max_steps: -1 - sampling_strategy: oversampling - num_iterations: 20 - body_learning_rate: (2e-05, 0.01) - 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 - max_length: 512 - seed: 42 - eval_max_steps: -1 - load_best_model_at_end: True ### Training Results | Epoch | Step | Training Loss | Validation Loss | |:------:|:----:|:-------------:|:---------------:| | 0.0009 | 1 | 0.2819 | - | | 0.9302 | 1000 | 0.0032 | - | | 1.8605 | 2000 | 0.0009 | - | | 2.7907 | 3000 | 0.0002 | - | | 3.7209 | 4000 | 0.0003 | - | ### Framework Versions - Python: 3.10.12 - SetFit: 1.0.3 - Sentence Transformers: 2.7.0 - Transformers: 4.40.1 - PyTorch: 2.2.1+cu121 - Datasets: 2.19.0 - Tokenizers: 0.19.1 ## 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} } ```