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kasparas12
/
crypto_individual_infer_model_setfit

Text Classification
setfit
PyTorch
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
Model card Files Community
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Commit
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Files changed (13) hide show
  1. 1_Pooling/config.json +7 -0
  2. README.md +331 -0
  3. config.json +31 -0
  4. config_sentence_transformers.json +7 -0
  5. config_setfit.json +33 -0
  6. model_head.pkl +3 -0
  7. modules.json +20 -0
  8. pytorch_model.bin +3 -0
  9. sentence_bert_config.json +4 -0
  10. special_tokens_map.json +7 -0
  11. tokenizer.json +0 -0
  12. tokenizer_config.json +17 -0
  13. vocab.txt +0 -0
1_Pooling/config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ {
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+ "word_embedding_dimension": 384,
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+ "pooling_mode_cls_token": true,
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+ "pooling_mode_mean_tokens": false,
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_mean_sqrt_len_tokens": false
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+ }
README.md ADDED
@@ -0,0 +1,331 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: ' '
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+ - text: quantitative algorithmic hustle trading dot com
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+ - text: cryptoart since early 2020 founder of ENCODE_graphics red_heart EARTH
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+ - text: 'Chief Legal Officer krakenfx Not your lawyer Assumptions opinions prevarications
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+ and predictions are mine not my employers '
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+ - text: 'Chief of Staff at Remilia Corporation remiliacorp333 Warlord Commander at
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+ YAYO Corporation YayoCorp THIS IS NOT A PROMISE OF EQUITY OR OWNERSHIP IN ANYTHING '
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+ pipeline_tag: text-classification
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+ inference: true
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+ base_model: BAAI/bge-small-en-v1.5
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+ model-index:
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+ - name: SetFit with BAAI/bge-small-en-v1.5
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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: 0.4891640866873065
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+ name: Accuracy
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+ ---
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+
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+ # SetFit with BAAI/bge-small-en-v1.5
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+
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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 [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
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+
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+ The model has been trained using an efficient few-shot learning technique that involves:
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+
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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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+
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+ ## Model Details
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+
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+ ### Model Description
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+ - **Model Type:** SetFit
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+ - **Sentence Transformer body:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
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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:** 512 tokens
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+ - **Number of Classes:** 27 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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+
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+ ### Model Sources
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+
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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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+
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+ ### Model Labels
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+ | Label | Examples |
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+ |:---------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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+ | NFT_ARTIST | <ul><li>'Onchain music cooprecordsxyz invinmusic cooprecsmusic Los Angeles'</li><li>'Artist etc Chicago'</li><li>'Where NFTs meet DeFi on SecretNetwork Are you Legendary nfts gamefi defi SCRT LGND Secret Network'</li></ul> |
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+ | UNDETERMINED | <ul><li>'100 readerfunded writer All works free to republish bootleg use or cp All works coauthored by Tim Foley Patreon Australia'</li><li>'Pro skater father husband videogame character CEO philanthropist public skatepark advocate Old AF and still skating San Diego world at large'</li><li>'Sandy and blue '</li></ul> |
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+ | DEVELOPER | <ul><li>'BUIDL HODL CELR CelerNetwork BNB bnb48club BTC ETC ATOM No gods no masters only hashes Shadowy Coder trolling by day coding by night Metalhead Cosmos'</li><li>'crosspost to Farcaster Bluesky Twitter Lens Threads decentralized social in one feed iOS '</li><li>'VP of Engineering at avara space nerd my astrobin profile Opinions strictly my own '</li></ul> |
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+ | EXECUTIVE | <ul><li>'Epic Games founder and CEO '</li><li>'CEO compoundfinance San Francisco USA'</li><li>'DeFi FounderUnited_States bornraised Bahai Los Angeles'</li></ul> |
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+ | INFLUENCER | <ul><li>'That rug really tied the room together weekly news channel on hiatus '</li><li>'Conecto con personas de habla hispana con perfil propio dentro de bitcoin y comparto su valor preguntasbtc para respuestas en 24h lunaticoingetalbycom 2515 4D1C 6C36 C024'</li><li>'sols 学习新事物 不带偏见的去看币圈 macau'</li></ul> |
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+ | BUSINESS_DEVELOPER | <ul><li>'Chief of Growth fuel_network Ex0xMantle Ex0xPolygon Tea connoisseur Dog Lover Web3 Degen Views are my own Metaverse'</li><li>'Experience Bitcoin like never before '</li><li>'Bitcoin Blockchain bitcoinmining Bitpay Founded the Original WomenInBitcoin etc Los Angeles '</li></ul> |
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+ | TRADER | <ul><li>'your greater fool goblin town'</li><li>'Commander in chiefing Periodically 1 ranked trader on ByBit Zaza City'</li><li>'Ethereum Maximalist Synthetix Spartan '</li></ul> |
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+ | ONCHAIN_ANALYST | <ul><li>'technical and onchain analyst crypto stock real estate investor global head of news beincrypto spreading alpha United States'</li><li>'Cofounder reflexivityres acq by defitechglobal Using velodata New York NY'</li><li>'Cofounder ensuser research y2z_ventures Full time onchain moron ethereum'</li></ul> |
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+ | RESEARCHER | <ul><li>'Lets skip witty repartee discuss fundamental questions Views are mine not GMUs or Virginias Books Fairfax VA'</li><li>'research paradigm '</li><li>'Crypto Data Research 0x'</li></ul> |
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+ | INVESTOR | <ul><li>'peer to peer electronic cash enthusiast light__nh hethey '</li><li>'GoldLover '</li><li>'I enjoy business innovation lifelong learning to ChangeTheWorld to help others Entrepreneur interim CxO investor adventurer thinker doer NO DMs Global citizen'</li></ul> |
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+ | SECURITY_AUDITOR | <ul><li>'security researcher nascentsecurity EVM Enthusiast Gas Optimizoor Puzzle Cracker Fan of all things Static Analysis Fuzzing Symbolic Execution '</li><li>'think bad do good cofounder openpathsec los angeles'</li><li>'Head of GTM CyfrinAudits Ex Lead Dev Rel AlchemyPlatform Created cyfrinupdraft and AlchemyLearn Making web3 mainstream Ethereum'</li></ul> |
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+ | EDUCATOR | <ul><li>'Professor of Practice at Harvard Teaches Ec 10 some tweets might be educational Also Senior Fellow PIIE Was Chair of President Obamas CEA Cambridge MA'</li><li>'Jarrête des carrières Je vulgarise et décortique à vos côtés les nouvelles tokenomics et les influvoleurs crypto de notre époque Bitcoin'</li><li>' Bretton Woods NH'</li></ul> |
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+ | LAWYER | <ul><li>'Author of Digital Money Demystified DickinsonLaw AdvantageEvans AtTechIntersect Crypto IP Law As seen on Coindesk TV Yahoo Finance Bloomberg CNBC Nomad Team '</li><li>'UVa Vanderbilt Law Your guide to other worlds Crypto l Metaverse Web3 Not legal or financial advice I am A lawyerjust not YOUR lawyer USA'</li><li>'The Crypto Lawyer Юрист Rechtsanwältin محامية Advising Entrepreneurs Investors and Governments on Bitcoin Crypto since 2016 Contributor Forbes UAE Switzerland '</li></ul> |
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+ | ADVISOR | <ul><li>'Director of Government Relations at BlockchainAssn Author of the Token Taxonomy Act Former WarrenDavidson and Board of Advisors JoinSeedstarter Washington DC'</li><li>'Calculated Degen 2x cancer survivor 5x rug pull survivor Paper hands diamond wrist Building WumboLabs Advisoooor arcade_xyz '</li><li>'Doggfather Analytics Founderorange_square OrdData '</li></ul> |
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+ | COMMUNITY_MANAGER | <ul><li>'Contributor to the Optimism Collective OP'</li><li>'ecosystem growth indexcoop music NFT enjoyer wavWRLD_ not financial advice typos are my owm '</li><li>'Founder KryptoSeoul ericaplanet Ericaverse Organizer buidl_asia eth_seoul_ Seoul Chapter Lead She__Fi Alum Stanford Ewha Where is Erica'</li></ul> |
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+ | MARKETER | <ul><li>'Positivity Pusher CoFounder PurpleHorizons Future Tech Marketing Strategist Trend Spotter Storyteller Once a DJ Always a DJ Miami FL'</li><li>'elissa emm Head of Marketing at spruceid building decentralized identity Seattle WA'</li><li>'Marketing Superfluid_HQ Safaryclub solhotgirlclub She__Fi Cohort 9 Words in banklesshq PFP miladymaker 104 NFA Views are my own Brooklyn NY'</li></ul> |
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+ | ANGEL_INVESTOR | <ul><li>'Developer entrepreneur angel investor crypto enthusiast '</li><li>'larp LawliettesLab angel uvocapital '</li><li>'cofounder jokerace_io ecodao_ write on web3 angel thecowfund berlin'</li></ul> |
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+ | VENTURE_CAPITALIST | <ul><li>'visionary at core playful at the surface just launched GetCohosts WalkinEvents prev fabric_vc nothingnyc London UK New York USA'</li><li>'Crypto web3 Partner ColliderVC Standing on the shoulders of giants World State'</li><li>'startup investor and builder founder w_conviction before GP greylockVC accelerating AI adoption tech podcastchains'</li></ul> |
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+ | NFT_COLLECTOR | <ul><li>'FINE BITCOIN GOODS Get in THE BANTER Scarce City'</li><li>'Cofounder RKOTax omega based spicymargeth '</li><li>'Like a shadow following the light Time is actually another dimension Nikennftyeth Niken32lens bcard id 275 Multiverse of Madness'</li></ul> |
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+ | BLOGGER | <ul><li>'Reporter at Bloomberg business covering crypto blockchain companies Formerly CoinDesk DM open Opinions are my own New York USA'</li><li>'viamirror '</li><li>'senior writer NFT lead BanklessHQ '</li></ul> |
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+ | METAVERSE_ENTHUSIAST | <ul><li>'SMOL by Treasure_DAO Smolverse'</li><li>'Epic SciFi MMO strategy game from Pixelmatic ExordiumHQ Take command of a fleet of spaceships and fight for humanity NOW Sol System'</li><li>'Time to post tweets and save lives Creative Director PlayShadowWar Where dreams come true'</li></ul> |
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+ | FINANCIAL_ANALYST | <ul><li>'Editor of FTAlphaville Norwegian despite the Harry Potteresque name Author of TRILLIONS Views mine bla bla Oslo Norway'</li><li>'markets macro business anchor of 10am ET and ETF IQ on bloombergtv haverfordedu columbiajourn alum ktkaos on InstaThreads Opinions mine Midtown East Manhattan'</li><li>'Curious on how behavioral fallacies challenge financial markets and cryptos Always learning new things getting to know new people and having a bit of fun London England'</li></ul> |
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+ | DATA_SCIENTIST | <ul><li>' '</li><li>'Data Wizardry variantfund Chicago IL'</li><li>'NLP ML StatArb Math Bowdoincollege Team Doobro_CN Prev first intern Bybit_Official Plucking a feather from every goose but follow no one absolute New York NY'</li></ul> |
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+ | NODE_OPERATOR | <ul><li>'Founder ClayStack_HQ Building Liquid Staking long before they were called LSDs Running validator nodes at Vibing ClayClanDAO Metaverse'</li><li>'Restake ETH Never Worry about EigenLayer Caps EigenLayer'</li><li>'HonigdachsPod cohost Making Bitcoin green today netposmon Find me on nostr npub1cear2n95zcyze86s5hry2a0pdgs7euhnc0p7ewcq2284pp845t5szt8rhr '</li></ul> |
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+ | SHITCOINER | <ul><li>'Eternity belongs to those who live in the present I tweet once per week when Im pooping Results in occasional shitposting '</li><li>'Lets hold hands and be enemies enemieswithbenefitseth '</li><li>'16th Chair of the Central Bank of Retards When I see chaos forming on the timeline I rush in to shitpost adding fuel to the fire Hyperbolic Time Chamber'</li></ul> |
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+ | MINER | <ul><li>' bitcoin beyonder economic futurist metagame winner rose'</li><li>'Steady lads deploying more hashrate Hashrate merchant luxortechnology btc Miami'</li><li>'SVP foundryservices I am a miner like my father before me previously greenidge_GREE Bitcoin '</li></ul> |
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+ | DATA_ANALYST | <ul><li>'Director of Research at proof_xyz Building charts that make NFTs a bit easier to understand '</li><li>'Shadowy mediocre Analyst tangent_xyz '</li><li>'Lead Analyst CryptoSlate Previously Saidler Bitcoin London'</li></ul> |
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+
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+ ## Evaluation
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+
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+ ### Metrics
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+ | Label | Accuracy |
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+ |:--------|:---------|
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+ | **all** | 0.4892 |
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+
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+ ## Uses
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+
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+ ### Direct Use for Inference
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+
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+ First install the SetFit library:
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+
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+ ```bash
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+ pip install setfit
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+ ```
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+
112
+ Then you can load this model and run inference.
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+
114
+ ```python
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+ from setfit import SetFitModel
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+
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+ # Download from the 🤗 Hub
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+ model = SetFitModel.from_pretrained("kasparas12/crypto_individual_infer_model_setfit")
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+ # Run inference
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+ preds = model(" ")
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+ ```
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+
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+ <!--
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+ ### Downstream Use
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+
126
+ *List how someone could finetune this model on their own dataset.*
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+ -->
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+
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+ <!--
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+ ### Out-of-Scope Use
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+
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+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
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+ -->
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+
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+ <!--
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+ ## Bias, Risks and Limitations
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+
138
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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+ -->
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+
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+ <!--
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+ ### Recommendations
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+
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+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
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+ -->
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+
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+ ## Training Details
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+
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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 | 2 | 13.6494 | 65 |
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+
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+ | Label | Training Sample Count |
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+ |:---------------------|:----------------------|
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+ | DEVELOPER | 702 |
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+ | DATA_SCIENTIST | 34 |
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+ | DATA_ANALYST | 8 |
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+ | NODE_OPERATOR | 18 |
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+ | MINER | 22 |
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+ | SECURITY_AUDITOR | 129 |
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+ | INVESTOR | 212 |
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+ | ANGEL_INVESTOR | 84 |
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+ | VENTURE_CAPITALIST | 467 |
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+ | TRADER | 168 |
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+ | SHITCOINER | 34 |
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+ | BUSINESS_DEVELOPER | 306 |
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+ | BUSINESS_ANALYST | 0 |
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+ | COMMUNITY_MANAGER | 122 |
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+ | MARKETER | 70 |
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+ | FINANCIAL_ANALYST | 32 |
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+ | ADVISOR | 79 |
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+ | RESEARCHER | 227 |
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+ | ONCHAIN_ANALYST | 29 |
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+ | EXECUTIVE | 393 |
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+ | INFLUENCER | 510 |
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+ | LAWYER | 47 |
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+ | BLOGGER | 55 |
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+ | NFT_COLLECTOR | 174 |
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+ | NFT_ARTIST | 312 |
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+ | EDUCATOR | 134 |
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+ | METAVERSE_ENTHUSIAST | 57 |
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+ | UNDETERMINED | 740 |
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+
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+ ### Training Hyperparameters
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+ - batch_size: (64, 64)
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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, 1e-05)
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+ - head_learning_rate: 0.01
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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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+
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+ ### Training Results
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+ | Epoch | Step | Training Loss | Validation Loss |
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+ |:------:|:----:|:-------------:|:---------------:|
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+ | 0.0011 | 1 | 0.2537 | - |
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+ | 0.0562 | 50 | 0.2412 | - |
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+ | 0.1124 | 100 | 0.2242 | - |
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+ | 0.1685 | 150 | 0.2066 | - |
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+ | 0.2247 | 200 | 0.1811 | - |
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+ | 0.2809 | 250 | 0.205 | - |
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+ | 0.3371 | 300 | 0.1789 | - |
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+ | 0.3933 | 350 | 0.1831 | - |
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+ | 0.4494 | 400 | 0.1829 | - |
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+ | 0.5056 | 450 | 0.1506 | - |
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+ | 0.5618 | 500 | 0.1474 | - |
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+ | 0.6180 | 550 | 0.0989 | - |
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+ | 0.6742 | 600 | 0.1094 | - |
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+ | 0.7303 | 650 | 0.1316 | - |
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+ | 0.7865 | 700 | 0.1207 | - |
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+ | 0.8427 | 750 | 0.1262 | - |
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+ | 0.8989 | 800 | 0.1229 | - |
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+ | 0.9551 | 850 | 0.0989 | - |
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+ | 0.0003 | 1 | 0.2061 | - |
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+ | 0.0155 | 50 | 0.2073 | - |
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+ | 0.0310 | 100 | 0.1844 | - |
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+ | 0.0465 | 150 | 0.1891 | - |
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+ | 0.0619 | 200 | 0.1975 | - |
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+ | 0.0774 | 250 | 0.1772 | - |
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+ | 0.0929 | 300 | 0.2304 | - |
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+ | 0.1084 | 350 | 0.2085 | - |
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+ | 0.1239 | 400 | 0.1851 | - |
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+ | 0.1394 | 450 | 0.1463 | - |
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+ | 0.1548 | 500 | 0.1216 | - |
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+ | 0.1703 | 550 | 0.1648 | - |
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+ | 0.1858 | 600 | 0.1359 | - |
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+ | 0.2013 | 650 | 0.163 | - |
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+ | 0.2168 | 700 | 0.1563 | - |
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+ | 0.2323 | 750 | 0.2 | - |
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+ | 0.2478 | 800 | 0.1425 | - |
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+ | 0.2632 | 850 | 0.1614 | - |
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+ | 0.2787 | 900 | 0.1881 | - |
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+ | 0.2942 | 950 | 0.133 | - |
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+ | 0.3097 | 1000 | 0.1348 | - |
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+ | 0.3252 | 1050 | 0.1256 | - |
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+ | 0.3407 | 1100 | 0.1065 | - |
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+ | 0.3561 | 1150 | 0.0932 | - |
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+ | 0.3716 | 1200 | 0.122 | - |
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+ | 0.3871 | 1250 | 0.0969 | - |
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+ | 0.4026 | 1300 | 0.1386 | - |
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+ | 0.4181 | 1350 | 0.1116 | - |
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+ | 0.4336 | 1400 | 0.0866 | - |
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+ | 0.4491 | 1450 | 0.084 | - |
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+ | 0.4645 | 1500 | 0.1073 | - |
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+ | 0.4800 | 1550 | 0.1065 | - |
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+ | 0.4955 | 1600 | 0.1063 | - |
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+ | 0.5110 | 1650 | 0.1235 | - |
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+ | 0.5265 | 1700 | 0.0918 | - |
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+ | 0.5420 | 1750 | 0.078 | - |
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+ | 0.5574 | 1800 | 0.1358 | - |
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+ | 0.5729 | 1850 | 0.0664 | - |
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+ | 0.5884 | 1900 | 0.1123 | - |
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+ | 0.6039 | 1950 | 0.0996 | - |
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+ | 0.6194 | 2000 | 0.0471 | - |
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+ | 0.6349 | 2050 | 0.1068 | - |
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+ | 0.6504 | 2100 | 0.0933 | - |
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+ | 0.6658 | 2150 | 0.0836 | - |
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+ | 0.6813 | 2200 | 0.0858 | - |
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+ | 0.6968 | 2250 | 0.0421 | - |
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+ | 0.7123 | 2300 | 0.08 | - |
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+ | 0.7278 | 2350 | 0.0902 | - |
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+ | 0.7433 | 2400 | 0.0949 | - |
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+ | 0.7587 | 2450 | 0.116 | - |
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+ | 0.7742 | 2500 | 0.0733 | - |
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+ | 0.7897 | 2550 | 0.101 | - |
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+ | 0.8052 | 2600 | 0.0709 | - |
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+ | 0.8207 | 2650 | 0.079 | - |
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+ | 0.8362 | 2700 | 0.0706 | - |
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+ | 0.8517 | 2750 | 0.0338 | - |
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+ | 0.8671 | 2800 | 0.0812 | - |
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+ | 0.8826 | 2850 | 0.063 | - |
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+ | 0.8981 | 2900 | 0.075 | - |
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+ | 0.9136 | 2950 | 0.081 | - |
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+ | 0.9291 | 3000 | 0.1264 | - |
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+ | 0.9446 | 3050 | 0.0766 | - |
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+ | 0.9600 | 3100 | 0.0873 | - |
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+ | 0.9755 | 3150 | 0.0512 | - |
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+ | 0.9910 | 3200 | 0.0816 | - |
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+
290
+ ### Framework Versions
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+ - Python: 3.9.16
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+ - SetFit: 1.0.3
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+ - Sentence Transformers: 2.2.2
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+ - Transformers: 4.21.3
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+ - PyTorch: 1.12.1+cu116
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+ - Datasets: 2.4.0
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+ - Tokenizers: 0.12.1
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+
299
+ ## Citation
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+
301
+ ### BibTeX
302
+ ```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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