Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dappradar/setfit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use dappradar/setfit-model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dappradar/setfit-model") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use dappradar/setfit-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dappradar/setfit-model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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Download README.md from dappradar/setfit-model: direct link, hf CLI and curl.
- Browser
- Download file 29 kB
-
https://huggingface.co/dappradar/setfit-model/resolve/main/README.md
- Command line
-
hf download hf://dappradar/setfit-model/README.md
-
curl -L -o README.md https://huggingface.co/dappradar/setfit-model/resolve/main/README.md
29 kB
| library_name: setfit | |
| tags: | |
| - setfit | |
| - sentence-transformers | |
| - text-classification | |
| - generated_from_setfit_trainer | |
| metrics: | |
| - accuracy | |
| widget: | |
| - text: tron miner contract game . yield diamond 50 times earnings ' | |
| - text: infinite yield revolutionizing yield farming experience optimizing platform | |
| sustainability , capital efficiency safety . recognize def rapid shifting ecosystem | |
| . dedicated staying cutting edge creating strategies incentive , utilize compose | |
| latest secure tech . ' | |
| - text: 'hmmcoin community driven def project . hmmcoin open source , decentralized | |
| , peer peer digital currency uses innovative coin distribution model ( reward | |
| level schedule ) . coin distribution model : reward level schedule contains 77 | |
| levels . starts level 1 , request equal 1 pmc . one million coins requested level | |
| . million withdrawn coins amount received coins next level decrease 7 % . every | |
| level users need perform actions advance next level . level 1 : 1 pmc actions | |
| required : 1.000.000 actions level 2 : 0.93 pmc actions required : 1.075.268 actions | |
| etc . users get coin free pay transaction fee . ''' | |
| - text: ' pump dump cryptocurrency trading game lets make real money buying selling | |
| coins virtual trading market . ''' | |
| - text: platform daily dividend investments , long term contract 3 tier referral commissions | |
| . running tron blockchain verified smart contract . dividends starting 2.5 % unlimited | |
| booster contracts 5.5 % shorter periods . ' | |
| pipeline_tag: text-classification | |
| inference: true | |
| base_model: sentence-transformers/paraphrase-mpnet-base-v2 | |
| model-index: | |
| - name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2 | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: Unknown | |
| type: unknown | |
| split: test | |
| metrics: | |
| - type: accuracy | |
| value: 0.5666990448437753 | |
| name: Accuracy | |
| --- | |
| # SetFit with sentence-transformers/paraphrase-mpnet-base-v2 | |
| This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-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. | |
| 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/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) | |
| - **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:** 9 classes | |
| <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) --> | |
| <!-- - **Language:** Unknown --> | |
| <!-- - **License:** Unknown --> | |
| ### 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 | | |
| |:-------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | |
| | games | <ul><li>"crypto football strategic live time free play play earn football ( soccer ) game . players play community members rank high order get rewarded $ ball tokens native token ( $ ball ) used house advertising system . ads displayed game accepting payments $ ball token users able buy formations teams app game specific amount $ ball . 50 80 % tokens collected players buys sent burn address . also , $ ball token going native cryptocurrency upcoming nft marketplace '"</li><li>"`` mint fee 1st 10000th nft 1 sol . mint fee 10001st 20000th nft 20000 fleet tokens . mint fee 20001st 30000th nft 30000 fleet tokens . mint fee 90001st 100000th nft 100000 fleet tokens , upper limit mint forever . 80 % chance mint sheep , 20 % chance mint wolf . wolves alpha property ranging 4 8 , value alpha equal chance mint . sheep stated , 10000 fleet tokens generated every day , 70 % claimed . stated wolves share 30 % total daily output fleet tokens according respective alpha values . example , total 8 sheep 2 wolves stated , total 80000 fleet tokens produced every day . sheep get 7000 fleet tokens . 2 wolves share 24000 fleet tokens . one wolf 's alpha 4 , wolf 's alpha 8 , former get 24000x4 ( 4+8 ) 8000 fleet tokens , latter gets 16000 fleet tokens . claim long time , sheep get fleet tokens last three days claiming , wolf get fleet tokens last day , wolf needs claim every day get maximum benefit . acquired fleet tokens traded dex , minted nft traded nft market . ''"</li><li>" hold.earth new app ethereal blockchain . whereby players buy plots virtual earth , creating designs colouring plots plot owners share fee income generated game . platform development shape games developers extend functionality layering game extensions hold earth app framework . hold.earth simplifies process buying using cryptocurrency , entry level users , simplifying process wallets , crypto purchases illustrating key elements blockchain technology . '"</li></ul> | | |
| | exchanges | <ul><li>"klayswap complete chain instant swap protocol operates chain liquidity pool , liquidity guaranteed automated market making ( amp ) mechanisms . chain swap service allows anyone play act type token cryptocurrency become liquidity provider earn income transaction fee commissions . klayswap , ethereal based tokens ( eth , orc , dai , wbc ) transferred clayton ecosystem via orbit bridge , transparent ibc bridge , built orbit chain , offer yield farming asset pairings previously unconnected decentralized world '"</li><li>"excalibur exchange fandom based dex , built focus sustainability , capital efficiency supporting new projects . sustainability always issue def space , capital follows incentives , incentives need properly configured encourage longevity capital big focus excalibur , via dynamic incentivization long term taking yield generating governance token separated liquidity rewards , amongst others . excalibur also features highly variable swap fees variety mechanisms support new projects fandom . '"</li><li>"`` honeyswap decentralized exchange built dai chain , enables users experience fast secure transactions incredibly low fees . multiple tokens available swap add liquidity . 1hive honeyswap integrated , 0.05 % collected fees exchange used buy honey token deposit common pool , exchange 's volume increases , buy pressure honey increases well responsibility honey holders allocate tokens productive manner dao 's governance . ''"</li></ul> | | |
| | social | <ul><li>"allows passively earn interest lending assets help liquidity . fast easy way earn money making secure safe investments active . novice used online decentralized trading , , put sale app website , ensuring monthly revenue allowing users purchase token well . novice escaping entire ecology users may participate trading digitally anywhere globe cheap transaction cost almost free , allowing liberating , strategic , low risk , frictionless experience fully decentralized manner using novice . community oriented money rewards holders distributing others . part decision making process , community members also included give sense ownership assets . burn fees , token burning involves permanently removing digital asset circulation reducing supply . '"</li><li>"violet garden better way connect earn . pass go collect 50 vio , every user , every day . unique identity todays social media plagued fake news , online harassment bots . fighting verifying one person , one account . get paid creating content bidding collect 10 % commission bid content creator previous bidder . instant payment utilising power eos , trades , transfers awards instant . voice voice , unfortunately , shut original social media platform abandoned community created , violet garden build stronger one living eos manner . '"</li><li>" would like introduce matic.tube , vod streaming service based polygon blockchain ! currently two movies available see potential project . '"</li></ul> | | |
| | defi | <ul><li>" unlock nft potential intrinsic value nts finally unlocked used liquidity def operations permissionless strategy nts , rules , choose time rate loans : rules 100 % decentralized def innovation bridge nft world powerful def ecosystem , new era blockchain innovation permissionless anybody list nts without permission . anybody lend ada without ky . '"</li><li>"provide liquidity safe place . farm earn $ wave token . reviewed rugdoc , ky soon plain audit . able stake stablecoins avoid permanent loss stake lp tokens yield farm pools . community plays central role involved project . also referral program . refer earn 2 % purchased token . wave governance token future l2 . '"</li><li>"goldencake def app created ros.finance allow earn cake free ros holder '"</li></ul> | | |
| | marketplaces | <ul><li>"seem.ninja offers variety services seem . example allows easy boarding seem card payments smart referral system users set prices . soon seem.ninja also allow everyone quickly purchase seem . '"</li><li>"metamarket aggressive finance smart chain ( bsc ) based nft marketplace . powered metareserve team group experienced knowledgeable blockchain developers , nft fanatics , fintech professionals metamarket aims collaborating brands celebrities create virtual real life utilities . designed offer plethora features users , metamarket nft marketplace , launched , reward potential buyers purchasing exclusive nts bsc based marketplace . first , holders shared private metamarket nft collections receive $ power governance tokens , offering chance vote significant events take place metareserve . additionally , receive rewards airdropped $ power periodically . metamarket users get whitelisted nft collections launch aggressive nft marketplace . '"</li><li>"burden powerful platform creators publish , sell , grow business around content web3 . '"</li></ul> | | |
| | collectibles | <ul><li>"meta elephant nft series nts based mex mascot 4 grade rarities ( n r sr ssr ) total number 10,000. owners stake nts mine assets participate high quality games chains mex work future . first edition meta elephant nft themed space expedition includes cruise maintenance workers , cruise special forces , cruise navigators , cruise pilots . released certain marketplace form mystery box , chance get meta elephant nft different rarities ! '"</li><li>"`` replace crypto addresses name one time registration fee , renewal fees send crypto , need know recipient 's nft domain . send crypto one domain . worrying sending wrong address . nft domain leased . buy domain one time registration fee never worry renewal . domains stored wallet , like cryptocurrency . control . ''"</li><li>"this series 999 explores playful relationship color , shape , line harmony . artwork combination 9 zones ( 3 rows 3 ) . displayed within 9 zones 1 59 possible smaller pieces , put together makes one large artwork . zones programmed way see duplicated pieces within zones , thus making artwork unique one kind . utility offered 9 zone holders . info come . created toronto artist dan1el . '"</li></ul> | | |
| | gambling | <ul><li>"bulls cows ( also known cows bulls pigs bulls bulls lots ) old code breaking mind paper pencil game two players , predating commercially marketed board game mastermind . game may date back century uses numbers words . played two opponents . '"</li><li>"casino , leading crypto casino thunder core network , 3,000 games world renowned game providers years experiences fully certified . also offers sports book even pp poker users create tournaments play friends . casino casino operated cybergalaxy b.v. , company registered established laws cacao . cybergalaxy b.v. licensed regulated antillephone n.v '"</li><li>"the highest dividends gambling app . need freeze , play get div ! 60 % house edge go dividends pool . currently , run test mode . 7 games available , auto bets limited max bet . find bug , please contact us telegram . start enjoy high div ! '"</li></ul> | | |
| | other | <ul><li>"seed multichain , community participation token , encouraging participation creation distribution . sesameseed distributes seed daily reward participation delegated governance across blockchain represents . '"</li><li>"`` stackerdaos one stop shop bitcoin days . stackerdao protocol smart contracts operating system modular comparable days stacks . stackerdao , users form anything ranging completely decentralized days automatic proposal functionality subcats multisigs . stackerdaos provides code platform users launch manage dao based stackerdao operating system . stackerdaos , communities manage dao 's treasury , submit proposals , vote . stackerdaos also provides legal tech tools days avail legal benefits meet compliance obligations , legal entity formation , compliance forms filings , tax assistance. ``"</li><li>"name web3 marketing platform allowing users earn tokens , nts , chain chain rewards completing quests . name , aim onboard empower next billion users web3 providing everyone opportunities . name , see today , one step massive pursuit ambitions personal data ownership , data monetization opportunities , web3 accessibility , comparable , chain agnostic , decentralized social identity . since launch , offered 70,000+ verified users opportunity use data earn 220,000+ rewards quests name alone . users , new incredible quests name coolest companies projects . complete quests claim rewards . companies projects , name opportunity run campaigns accurate predictive results . run campaigns based chain chain verified actions . reward users directly data participation . name currently works going multi chain alongside introducing singular , cross chain , comparable web3 identity many exciting features users companies . '"</li></ul> | | |
| | high-risk | <ul><li>"cross live lottery crc20 token rewards holders automatic mmf reward payments several times day . launched stealthily governed cream community , make win. ! main goal become largest reliable reward jackpot token cross network . '"</li><li>"get 50 % investments daily . '"</li><li>"`` proof easy invest forever ( poet ) world 's first three dimensional crypto currency generates eth holding tokens ! finally , working three level referral system drain contract ! 5 % easyinvestforever dev fees fees token holders multi level sticky referrals 10 % ( rugged ) buys invests . sell fee reduces time 48 % 8 % ( discourages early dumping ) function send external eth donating div ( directly sends eth token holders ) ability enable apps accept if tokens . zero fees transfers , enabling 3rd party trading . ''"</li></ul> | | |
| ## Evaluation | |
| ### Metrics | |
| | Label | Accuracy | | |
| |:--------|:---------| | |
| | **all** | 0.5667 | | |
| ## 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("dappradar/setfit-model") | |
| # Run inference | |
| preds = model("tron miner contract game . yield diamond 50 times earnings '") | |
| ``` | |
| <!-- | |
| ### Downstream Use | |
| *List how someone could finetune this model on their own dataset.* | |
| --> | |
| <!-- | |
| ### Out-of-Scope Use | |
| *List how the model may foreseeably be misused and address what users ought not to do with the model.* | |
| --> | |
| <!-- | |
| ## Bias, Risks and Limitations | |
| *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* | |
| --> | |
| <!-- | |
| ### Recommendations | |
| *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* | |
| --> | |
| ## Training Details | |
| ### Training Set Metrics | |
| | Training set | Min | Median | Max | | |
| |:-------------|:----|:--------|:----| | |
| | Word count | 7 | 65.7639 | 210 | | |
| | Label | Training Sample Count | | |
| |:-------------|:----------------------| | |
| | collectibles | 8 | | |
| | defi | 8 | | |
| | exchanges | 8 | | |
| | gambling | 8 | | |
| | games | 8 | | |
| | high-risk | 8 | | |
| | marketplaces | 8 | | |
| | other | 8 | | |
| | social | 8 | | |
| ### Training Hyperparameters | |
| - batch_size: (8, 8) | |
| - num_epochs: (1, 1) | |
| - max_steps: -1 | |
| - sampling_strategy: oversampling | |
| - num_iterations: 10 | |
| - 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: True | |
| ### Training Results | |
| | Epoch | Step | Training Loss | Validation Loss | | |
| |:-------:|:-------:|:-------------:|:---------------:| | |
| | 0.0056 | 1 | 0.1857 | - | | |
| | 0.2778 | 50 | 0.1235 | - | | |
| | 0.5556 | 100 | 0.0434 | - | | |
| | 0.8333 | 150 | 0.0148 | - | | |
| | **1.0** | **180** | **-** | **0.2355** | | |
| * The bold row denotes the saved checkpoint. | |
| ### Framework Versions | |
| - Python: 3.10.12 | |
| - SetFit: 1.0.1 | |
| - Sentence Transformers: 2.2.2 | |
| - Transformers: 4.35.2 | |
| - PyTorch: 2.1.0+cu121 | |
| - 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} | |
| } | |
| ``` | |
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