setfit pytorch bert sentence-transformers text-classification generated_from_setfit_trainer arxiv:2209.11055 base_model:BAAI/bge-small-en-v1.5 base_model:finetune:BAAI/bge-small-en-v1.5 model-index region:us
---
base_model: BAAI/bge-small-en-v1.5
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: 'Building TopazMarket  Prev AptosLabs  Founder AptosNames  All views posts
    and opinions shared are my own  Not financial advice '
- text: 'Founder FrequenC__ an awardwinning marketing agency for the next internet
    Mentor speaker  cat mom  Tweets are my own opinion libertylabsxyz  '
- text: No1 ExchangeIndonesia  Pertama Terdaftar dan Teregulasi di Bappebti  CS Live
    Chat 247 Jakarta Capital Region
- text: producer business and elsewhere  on leave  views my own la gran manzana
- text: Founder GainForestNow   CoLead ETHBiodivX  CL ClimateChangeAI  PhD ETH prevGermanyHong_Kong_SAR_ChinaVietnam
    Son of Hoa refugees  hehim Zurich Switzerland
inference: true
model-index:
- name: SetFit with BAAI/bge-small-en-v1.5
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: Unknown
      type: unknown
      split: test
    metrics:
    - type: accuracy
      value: 0.5565092989985694
      name: Accuracy
---

# SetFit with BAAI/bge-small-en-v1.5

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.

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:** [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
- **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:** 28 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
|:---------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| UNDETERMINED         | <ul><li>'Professor Emeritus of Cognitive Sciences at the University of California Irvine Research Visual perception evolutionary psychology consciousness AI Irvine CA'</li><li>'Emeritus Professor of War Studies Kings College London just published Command The Politics of Military Operations from Korea to Ukraine UK Penguin US OUP '</li><li>'XML apologist Erlang enthusiast Currently JVMs  Performance stuff at Netflix Previously JVMs  performative stuff at Twitter Hehim San Francisco California'</li></ul> |
| NFT_ARTIST           | <ul><li>'Artist Web3 Marketing Advisor Educator Making history everyday Trapped in the blockchain'</li><li>'OwnYourAssets TokenGatedFile Access For CrossPlatformInteroperableGaming C5isComing CYBΞRVΞRSΞ'</li><li>'Pronounced Akossya artist    Zurich'</li></ul>                                                                                                                                                                                                                                                         |
| ONCHAIN_ANALYST      | <ul><li>'I write about onchain stuff fixer AleoHQ  prev rabbithole_gg and plenty of DAOs youve heard of '</li><li>'cofounder 3pochLabs onchain'</li><li>'onchain data farcer  building mosaicdrops  media CryptoSapiens_  OntologyNetwork OrangeProtocol  banklessDAO s0 _buildspace s4 Mosaicverse'</li></ul>                                                                                                                                                                                                              |
| BUSINESS_DEVELOPER   | <ul><li>'Prev opensea TheBlock__ amazon '</li><li>'Building HxroNetwork variable'</li><li>'Building something old CoFounder alongsidefi '</li></ul>                                                                                                                                                                                                                                                                                                                                                                         |
| NFT_COLLECTOR        | <ul><li>'Building glitchmarfa  Collecting brightopps  prev brtmoments '</li><li>'My soul is a cat  My two children rpcnftclub ChainFeedsxyz Bangkok'</li><li>'prev OpenSea NYC'</li></ul>                                                                                                                                                                                                                                                                                                                                   |
| DEVELOPER            | <ul><li>'Architect DoraHacks DoraFactory The everlasting hacker movement  Menlo Park'</li><li>'Engineer at Inria scikitlearn developer supported by Python and Machine Learning Between Vannes  Paris France'</li><li>'Working paritytech on substrate Views are my own I working mostly with rustlang nowadays '</li></ul>                                                                                                                                                                                                 |
| TRADER               | <ul><li>'Applied game theorist blog occasionally at formerly not  a very serious person  Scott Alexander '</li><li>'Crypto Trading  Bitcoin class of 2013  insilicotrading COO  Banana Cabana'</li><li>'token maxi '</li></ul>                                                                                                                                                                                                                                                                                              |
| COMMUNITY_MANAGER    | <ul><li>'chutzpah  controlled chaos connoisseur arbitrum chinshilling  chinchillin thoughts are my own Rio de Janeiro Brazil'</li><li>'commonsstack CoFounder  tecmns Founding Steward  KERNEL0x KB5  trustedseed   tamaralens '</li><li>'Community Admin at The Arbitrum Foundation  Helping to scale Ethereum at Arbitrum  Feed KOL Binance WEB3'</li></ul>                                                                                                                                                               |
| SECURITY_AUDITOR     | <ul><li>'founder adjacentfi  cofounder  former auditor osec_io  MEV on solana '</li><li>'Security Researcher  Googles Threat Analysis Group  0days all day Love all things bytes assembly and glitter sheher '</li><li>'採用マーケ得意仮想通貨エンジニア4社1社ホワイトハッカーとして月110万達成現在歯科衛生士の妻と事業開始  実績年商1億超えのマーケ担当  開始5ヶ月で6名見学開始2年で累計DH11名見学6名採用  ハイライト要チェック  ブログに今までの有益投稿をまとめました 岩手長野福岡ドバイ沖縄'</li></ul>                                                                                                                                          |
| VENTURE_CAPITALIST   | <ul><li>'Liquid Crypto  Brevan Howard Prev dragonfly_xyz consensys Arena'</li><li>'maverick LA'</li><li>'Founder of SavvyBooks  Degen dcv_capital  Summoner ElasticDAO metafam  Judge code4rena  Contributor CantoPublic Nomadic'</li></ul>                                                                                                                                                                                                                                                                                 |
| INVESTOR             | <ul><li>'Crypto Investor at Tephra Digital  Ex Head of Research Grayscale DCGco  FMR Head of Digital Asset Strategy Fundstrat New York NY'</li><li>'Capital Allocators  New York NY'</li><li>'Director of Research Autonomous Technology  Robotics ARKinvest Automation robotics energy storage alternative energy and space Disclosure New York NY'</li></ul>                                                                                                                                                              |
| ANGEL_INVESTOR       | <ul><li>'larp LawliettesLab  angel uvocapital '</li><li>'Initiator inverternetwork I Angel Investor I ex Gitcoin '</li><li>'VP Head of BD AleoHQ Mainnet Launch Soon Strategic Advisor VoxiesNFT Angel Investor rcsdao ExOP ExCoinbase Professionally CuriousOpinions My Own Manhattan NY'</li></ul>                                                                                                                                                                                                                        |
| EXECUTIVE            | <ul><li>'Chief Strategy  Marketing Officer of Liquidity Group Im also the cofounder of Hudson Rock RockHudsonRock a cybercrime intelligence company TelAviv'</li><li>'CEO Polymarket Ethereum since 14 I love music and collect art new york'</li><li>'CEO StartaleHQ Founder AstarNetwork All things for Web3 for billions Japanese Sota_Web3 Earth'</li></ul>                                                                                                                                                             |
| MARKETER             | <ul><li>'Director General en Kayum comparador de seguros insurance PPC tech crypto f1 Mexico City Mexico'</li><li>'Insights about Web3 data economy and AI by oceanprotocol  Currently in Marcom oceanprotocol ocean Ocean '</li><li>'f加速 ethereum China internet culture history podcast growth  marketing realmasknetwork prev newsbreakapp smartnews Zuzalu human Palo Alto USA'</li></ul>                                                                                                                               |
| DATA_SCIENTIST       | <ul><li>'data uniswap   prev theTIEIO  go bears  New York NY'</li><li>'engineering  data science a16zcrypto '</li><li>'LangChainAI previously robusthq kensho MLOps  Generative AI  sports analytics '</li></ul>                                                                                                                                                                                                                                                                                                            |
| EDUCATOR             | <ul><li>' London'</li><li>'MSc Immunology student  Past cofounder prof  director USF Center Applied Data Ethics math PhD  math_rachelmastodonsocial  sheher Brisbane Australia'</li><li>'Here to build shared intelligence listen learn  share via community tokenengineering KERNEL0x OptimismGov publicgoods education valuesmatter CyberDyn0x tauranga teikaamaui'</li></ul>                                                                                                                                             |
| INFLUENCER           | <ul><li>'the destroyer Titan'</li><li>'Healthy life style healthier bags  Cape Town South Africa'</li><li>'Beauty Brains  Bitcoin Beauty in an anonymous world'</li></ul>                                                                                                                                                                                                                                                                                                                                                   |
| ADVISOR              | <ul><li>'A decentralized onchain governance consultant Health  Wealth RunItUp  The only Alpha discord youll ever need to joingametheoryweb3 squanchland Profit Land'</li><li>'Design director Startup Advisor Midjourney Sharing learnings and prompts In my free time working on offscreenai Vancouver Canada'</li><li>'I help fix and grow crypto portfolios through premium research and strategies  1000 members  Founder cshift_io  Podcast  benandbergs Join 10k Crypto Investors '</li></ul>                         |
| BLOGGER              | <ul><li>'NOW Editor Forbes Writer Stripe HarvardBiz Back on Twitter after ignoring it for a decade I will try my best London'</li><li>'larp coindesk '</li><li>' '</li></ul>                                                                                                                                                                                                                                                                                                                                                |
| RESEARCHER           | <ul><li>'Roblox Chief Scientist UWaterloo  McGill Prof morgan3dbsky Known for NVIDIA Unity Graphics Codex Markdeep G3D Skylanders E Ink Titan Quest Williams Ontario Canada'</li><li>'Simple human Simple life  I am trying to do good around me Empathy  creativity  inspiration  ArigatōMerci For ever apprenti researcher  Nulle part ailleurs  Nowhere'</li><li>'Research community And we have our own NFT collection Telegram'</li></ul>                                                                              |
| METAVERSE_ENTHUSIAST | <ul><li>'fluent speaker of http and color virtual world evangelist game developer painter writer cj5 driver San Diego'</li><li>'Blockchain Gaming Evangelist CritTheory Gaming CoFounder Earth'</li><li>'We are a peeple obsessed recruiting service collective Treating everyone like a   DMs checked infrequently  Metaverse'</li></ul>                                                                                                                                                                                   |
| NODE_OPERATOR        | <ul><li>'into protocools and shitposting at nodeguardians '</li><li>' CoFounder of onivalidator Filmmaker People Maxi Los Angeles CA'</li><li>'I attest to block 247 Hobby involves the occasional block proposal Have commercial agreements with the MEV trade association Members of Sync Committees Los Angeles'</li></ul>                                                                                                                                                                                               |
| LAWYER               | <ul><li>'Law professor at Cal BerkeleyLaw Berkeley California'</li><li>'IP litigator first sale doctrine respecter schedule a disrespecter wife mom to the tiny boss likes design patents needlework yarn new hampshire'</li><li>'Lawyer FINTConsulting TechPolicy E4EProject upcoming GRC CybersecurityAnalyst ex InstituteGC Tweet law tech policy GRC Cybersecurity Decentralized'</li></ul>                                                                                                                             |
| DATA_ANALYST         | <ul><li>'Llama pilot at and '</li><li>'blockchain data opensea  kqian on Dune  my views are my own  dyor nfa  data only  wagmi open sea'</li><li>'Blockchain analyst Cat and dog dad Taylor Swift fan Army veteran Pittsburgh PA'</li></ul>                                                                                                                                                                                                                                                                                 |
| MINER                | <ul><li>'Blockchain bitcoin mining since 2011 analyst 35 years in IT UnixNetwork engineer fpgachip design exCIO Bitfury BitfuryGroup LNSegWit taproot California USA'</li><li>'Founder and CEO of Austin TX'</li><li>'在币圈捡矿泉水瓶子的人 0xb38544ccf295d78b7ae7b2bae5dbebdb1f09910dcrossbell Member of 33daoweb3 Metaverse'</li></ul>                                                                                                                                                                                              |
| SHITCOINER           | <ul><li>'Degen ETH and SOL lover '</li><li>'VMPX   mrjacklevin   Draculaborg'</li><li>'gripto alt notapornfolder_ '</li></ul>                                                                                                                                                                                                                                                                                                                                                                                               |
| FINANCIAL_ANALYST    | <ul><li>'Enrolled Agent  Crypto Enthusiast  Tax EXPERT  StackingSats  Chopping Tax Since 2016 NoSatoshiLeftBehind hodlmore payless crypto taxes Longmont CO'</li><li>'Politico financial services editor zwarmbrodtpoliticocom zacharywarmbrodtprotonmailcom Washington DC'</li><li>'Im just lookin for clues at the scene of the crime Sedona Arizona'</li></ul>                                                                                                                                                           |
| BUSINESS_ANALYST     | <ul><li>'Biz Analyst by day web3crypto learner by nightweekend Optimistic about Crypto  FanVajpayeeji NaMo M Andreessen E Musk C Dixon Balaji S  web3SF Bay Area'</li></ul>                                                                                                                                                                                                                                                                                                                                                 |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.5565   |

## 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("kasparas12/crypto_individual_infer_model_setfit")
# Run inference
preds = model("producer business and elsewhere  on leave  views my own la gran manzana")
```

<!--
### 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   | 1   | 13.3415 | 65  |

| Label                | Training Sample Count |
|:---------------------|:----------------------|
| DEVELOPER            | 2111                  |
| DATA_SCIENTIST       | 93                    |
| DATA_ANALYST         | 25                    |
| NODE_OPERATOR        | 71                    |
| MINER                | 47                    |
| SECURITY_AUDITOR     | 352                   |
| INVESTOR             | 484                   |
| ANGEL_INVESTOR       | 160                   |
| VENTURE_CAPITALIST   | 941                   |
| TRADER               | 270                   |
| SHITCOINER           | 88                    |
| BUSINESS_DEVELOPER   | 917                   |
| BUSINESS_ANALYST     | 1                     |
| COMMUNITY_MANAGER    | 401                   |
| MARKETER             | 190                   |
| FINANCIAL_ANALYST    | 72                    |
| ADVISOR              | 150                   |
| RESEARCHER           | 691                   |
| ONCHAIN_ANALYST      | 45                    |
| EXECUTIVE            | 741                   |
| INFLUENCER           | 834                   |
| LAWYER               | 137                   |
| BLOGGER              | 198                   |
| NFT_COLLECTOR        | 335                   |
| NFT_ARTIST           | 598                   |
| EDUCATOR             | 281                   |
| METAVERSE_ENTHUSIAST | 132                   |
| UNDETERMINED         | 2216                  |

### Training Hyperparameters
- batch_size: (64, 64)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- num_iterations: 20
- 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: False

### Training Results
| Epoch  | Step | Training Loss | Validation Loss |
|:------:|:----:|:-------------:|:---------------:|
| 0.0001 | 1    | 0.2625        | -               |
| 0.0064 | 50   | 0.2677        | -               |
| 0.0127 | 100  | 0.2515        | -               |
| 0.0191 | 150  | 0.2413        | -               |
| 0.0254 | 200  | 0.2374        | -               |
| 0.0318 | 250  | 0.2383        | -               |
| 0.0381 | 300  | 0.222         | -               |
| 0.0445 | 350  | 0.1972        | -               |
| 0.0509 | 400  | 0.2268        | -               |
| 0.0572 | 450  | 0.2333        | -               |
| 0.0636 | 500  | 0.199         | -               |
| 0.0699 | 550  | 0.2035        | -               |
| 0.0763 | 600  | 0.1676        | -               |
| 0.0827 | 650  | 0.1566        | -               |
| 0.0890 | 700  | 0.1909        | -               |
| 0.0954 | 750  | 0.189         | -               |
| 0.1017 | 800  | 0.1872        | -               |
| 0.1081 | 850  | 0.1576        | -               |
| 0.1144 | 900  | 0.1382        | -               |
| 0.1208 | 950  | 0.1603        | -               |
| 0.1272 | 1000 | 0.155         | -               |
| 0.1335 | 1050 | 0.1764        | -               |
| 0.1399 | 1100 | 0.1506        | -               |
| 0.1462 | 1150 | 0.1439        | -               |
| 0.1526 | 1200 | 0.1581        | -               |
| 0.1590 | 1250 | 0.1494        | -               |
| 0.1653 | 1300 | 0.1622        | -               |
| 0.1717 | 1350 | 0.1503        | -               |
| 0.1780 | 1400 | 0.1094        | -               |
| 0.1844 | 1450 | 0.1576        | -               |
| 0.1907 | 1500 | 0.1194        | -               |
| 0.1971 | 1550 | 0.1515        | -               |
| 0.2035 | 1600 | 0.1662        | -               |
| 0.2098 | 1650 | 0.1642        | -               |
| 0.2162 | 1700 | 0.0943        | -               |
| 0.2225 | 1750 | 0.1472        | -               |
| 0.2289 | 1800 | 0.1622        | -               |
| 0.2352 | 1850 | 0.0809        | -               |
| 0.2416 | 1900 | 0.1623        | -               |
| 0.2480 | 1950 | 0.1444        | -               |
| 0.2543 | 2000 | 0.1304        | -               |
| 0.2607 | 2050 | 0.1175        | -               |
| 0.2670 | 2100 | 0.078         | -               |
| 0.2734 | 2150 | 0.1189        | -               |
| 0.2798 | 2200 | 0.141         | -               |
| 0.2861 | 2250 | 0.1233        | -               |
| 0.2925 | 2300 | 0.1446        | -               |
| 0.2988 | 2350 | 0.1076        | -               |
| 0.3052 | 2400 | 0.1016        | -               |
| 0.3115 | 2450 | 0.0818        | -               |
| 0.3179 | 2500 | 0.1384        | -               |
| 0.3243 | 2550 | 0.1065        | -               |
| 0.3306 | 2600 | 0.1029        | -               |
| 0.3370 | 2650 | 0.1227        | -               |
| 0.3433 | 2700 | 0.0982        | -               |
| 0.3497 | 2750 | 0.0959        | -               |
| 0.3561 | 2800 | 0.0851        | -               |
| 0.3624 | 2850 | 0.1028        | -               |
| 0.3688 | 2900 | 0.1136        | -               |
| 0.3751 | 2950 | 0.1111        | -               |
| 0.3815 | 3000 | 0.115         | -               |
| 0.3878 | 3050 | 0.1183        | -               |
| 0.3942 | 3100 | 0.0689        | -               |
| 0.4006 | 3150 | 0.1004        | -               |
| 0.4069 | 3200 | 0.1079        | -               |
| 0.4133 | 3250 | 0.112         | -               |
| 0.4196 | 3300 | 0.0758        | -               |
| 0.4260 | 3350 | 0.09          | -               |
| 0.4323 | 3400 | 0.1267        | -               |
| 0.4387 | 3450 | 0.1024        | -               |
| 0.4451 | 3500 | 0.1352        | -               |
| 0.4514 | 3550 | 0.0681        | -               |
| 0.4578 | 3600 | 0.0483        | -               |
| 0.4641 | 3650 | 0.0937        | -               |
| 0.4705 | 3700 | 0.0744        | -               |
| 0.4769 | 3750 | 0.0926        | -               |
| 0.4832 | 3800 | 0.0764        | -               |
| 0.4896 | 3850 | 0.0814        | -               |
| 0.4959 | 3900 | 0.108         | -               |
| 0.5023 | 3950 | 0.0936        | -               |
| 0.5086 | 4000 | 0.0687        | -               |
| 0.5150 | 4050 | 0.0607        | -               |
| 0.5214 | 4100 | 0.0829        | -               |
| 0.5277 | 4150 | 0.0772        | -               |
| 0.5341 | 4200 | 0.0309        | -               |
| 0.5404 | 4250 | 0.0797        | -               |
| 0.5468 | 4300 | 0.063         | -               |
| 0.5532 | 4350 | 0.071         | -               |
| 0.5595 | 4400 | 0.0667        | -               |
| 0.5659 | 4450 | 0.121         | -               |
| 0.5722 | 4500 | 0.0565        | -               |
| 0.5786 | 4550 | 0.0915        | -               |
| 0.5849 | 4600 | 0.0613        | -               |
| 0.5913 | 4650 | 0.0479        | -               |
| 0.5977 | 4700 | 0.0622        | -               |
| 0.6040 | 4750 | 0.0687        | -               |
| 0.6104 | 4800 | 0.0635        | -               |
| 0.6167 | 4850 | 0.1233        | -               |
| 0.6231 | 4900 | 0.0351        | -               |
| 0.6295 | 4950 | 0.0717        | -               |
| 0.6358 | 5000 | 0.0906        | -               |
| 0.6422 | 5050 | 0.0712        | -               |
| 0.6485 | 5100 | 0.1133        | -               |
| 0.6549 | 5150 | 0.0757        | -               |
| 0.6612 | 5200 | 0.0809        | -               |
| 0.6676 | 5250 | 0.112         | -               |
| 0.6740 | 5300 | 0.0893        | -               |
| 0.6803 | 5350 | 0.0591        | -               |
| 0.6867 | 5400 | 0.0872        | -               |
| 0.6930 | 5450 | 0.0937        | -               |
| 0.6994 | 5500 | 0.038         | -               |
| 0.7057 | 5550 | 0.0793        | -               |
| 0.7121 | 5600 | 0.0569        | -               |
| 0.7185 | 5650 | 0.0861        | -               |
| 0.7248 | 5700 | 0.1022        | -               |
| 0.7312 | 5750 | 0.0759        | -               |
| 0.7375 | 5800 | 0.0451        | -               |
| 0.7439 | 5850 | 0.08          | -               |
| 0.7503 | 5900 | 0.058         | -               |
| 0.7566 | 5950 | 0.0423        | -               |
| 0.7630 | 6000 | 0.043         | -               |
| 0.7693 | 6050 | 0.109         | -               |
| 0.7757 | 6100 | 0.072         | -               |
| 0.7820 | 6150 | 0.0342        | -               |
| 0.7884 | 6200 | 0.0833        | -               |
| 0.7948 | 6250 | 0.0643        | -               |
| 0.8011 | 6300 | 0.1069        | -               |
| 0.8075 | 6350 | 0.0713        | -               |
| 0.8138 | 6400 | 0.0807        | -               |
| 0.8202 | 6450 | 0.0518        | -               |
| 0.8266 | 6500 | 0.0796        | -               |
| 0.8329 | 6550 | 0.0954        | -               |
| 0.8393 | 6600 | 0.0709        | -               |
| 0.8456 | 6650 | 0.0541        | -               |
| 0.8520 | 6700 | 0.0503        | -               |
| 0.8583 | 6750 | 0.0737        | -               |
| 0.8647 | 6800 | 0.0931        | -               |
| 0.8711 | 6850 | 0.0636        | -               |
| 0.8774 | 6900 | 0.0579        | -               |
| 0.8838 | 6950 | 0.1168        | -               |
| 0.8901 | 7000 | 0.0751        | -               |
| 0.8965 | 7050 | 0.0945        | -               |
| 0.9028 | 7100 | 0.0396        | -               |
| 0.9092 | 7150 | 0.0623        | -               |
| 0.9156 | 7200 | 0.0641        | -               |
| 0.9219 | 7250 | 0.0697        | -               |
| 0.9283 | 7300 | 0.0675        | -               |
| 0.9346 | 7350 | 0.0544        | -               |
| 0.9410 | 7400 | 0.0803        | -               |
| 0.9474 | 7450 | 0.0549        | -               |
| 0.9537 | 7500 | 0.0612        | -               |
| 0.9601 | 7550 | 0.0721        | -               |
| 0.9664 | 7600 | 0.0692        | -               |
| 0.9728 | 7650 | 0.07          | -               |
| 0.9791 | 7700 | 0.0476        | -               |
| 0.9855 | 7750 | 0.0673        | -               |
| 0.9919 | 7800 | 0.0606        | -               |
| 0.9982 | 7850 | 0.1001        | -               |

### Framework Versions
- Python: 3.9.16
- SetFit: 1.0.3
- Sentence Transformers: 2.2.2
- Transformers: 4.21.3
- PyTorch: 1.12.1+cu116
- Datasets: 2.4.0
- Tokenizers: 0.12.1

## 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}
}
```

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