---
library_name: setfit
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
widget:
- text: ' '
- text: quantitative algorithmic hustle trading dot com
- text: cryptoart since early 2020  founder of ENCODE_graphics red_heart EARTH
- text: 'Chief Legal Officer krakenfx Not your lawyer Assumptions opinions prevarications
    and predictions are mine not my employers '
- text: 'Chief of Staff at Remilia Corporation remiliacorp333 Warlord Commander at
    YAYO Corporation YayoCorp THIS IS NOT A PROMISE OF EQUITY OR OWNERSHIP IN ANYTHING '
pipeline_tag: text-classification
inference: true
base_model: BAAI/bge-small-en-v1.5
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: 0.4891640866873065
      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:** 27 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
|:---------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 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>                                                                                                                                                                                                                                                                                                  |
| 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>                                                                                                                                                                                                  |
| 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>                                                                                                                                                     |
| 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>                                                                                                                                                                                                                                                                                                                                                                 |
| 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>                                                                                                                                                                                                              |
| 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>                                                                                                                                                                                                                              |
| 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>                                                                                                                                                                                                                                                                                                                                              |
| 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>                                                                                                                                                                                                   |
| 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>                                                                                                                                                                                                                                                                                                                                 |
| 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>                                                                                                                                                                                                                                                 |
| 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>                                                                                                                                                    |
| 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>                                                                                                                                                                        |
| 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> |
| 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>                                                                                                                                        |
| 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>                                                                                                                                                                                                       |
| 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>                                                                                                 |
| 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>                                                                                                                                                                                                                                                                                                                       |
| 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>                                                                                                                                                  |
| 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>                                                                                                                                                                                                                                                       |
| 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>                                                                                                                                                                                                                                                                                                    |
| 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>                                                                                                                                                                                                                            |
| 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>                          |
| 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>                                                                                                                                                                                                                                                                                 |
| 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>                                                                                                                                             |
| 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>                                                                                                                                                |
| 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>                                                                                                                                                                                                                                               |
| 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>                                                                                                                                                                                                                                                                                           |

## Evaluation

### Metrics
| Label   | Accuracy |
|:--------|:---------|
| **all** | 0.4892   |

## 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(" ")
```

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## Training Details

### Training Set Metrics
| Training set | Min | Median  | Max |
|:-------------|:----|:--------|:----|
| Word count   | 2   | 13.6494 | 65  |

| Label                | Training Sample Count |
|:---------------------|:----------------------|
| DEVELOPER            | 702                   |
| DATA_SCIENTIST       | 34                    |
| DATA_ANALYST         | 8                     |
| NODE_OPERATOR        | 18                    |
| MINER                | 22                    |
| SECURITY_AUDITOR     | 129                   |
| INVESTOR             | 212                   |
| ANGEL_INVESTOR       | 84                    |
| VENTURE_CAPITALIST   | 467                   |
| TRADER               | 168                   |
| SHITCOINER           | 34                    |
| BUSINESS_DEVELOPER   | 306                   |
| BUSINESS_ANALYST     | 0                     |
| COMMUNITY_MANAGER    | 122                   |
| MARKETER             | 70                    |
| FINANCIAL_ANALYST    | 32                    |
| ADVISOR              | 79                    |
| RESEARCHER           | 227                   |
| ONCHAIN_ANALYST      | 29                    |
| EXECUTIVE            | 393                   |
| INFLUENCER           | 510                   |
| LAWYER               | 47                    |
| BLOGGER              | 55                    |
| NFT_COLLECTOR        | 174                   |
| NFT_ARTIST           | 312                   |
| EDUCATOR             | 134                   |
| METAVERSE_ENTHUSIAST | 57                    |
| UNDETERMINED         | 740                   |

### 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 |
|:------:|:----:|:-------------:|:---------------:|
| 0.0011 | 1    | 0.2537        | -               |
| 0.0562 | 50   | 0.2412        | -               |
| 0.1124 | 100  | 0.2242        | -               |
| 0.1685 | 150  | 0.2066        | -               |
| 0.2247 | 200  | 0.1811        | -               |
| 0.2809 | 250  | 0.205         | -               |
| 0.3371 | 300  | 0.1789        | -               |
| 0.3933 | 350  | 0.1831        | -               |
| 0.4494 | 400  | 0.1829        | -               |
| 0.5056 | 450  | 0.1506        | -               |
| 0.5618 | 500  | 0.1474        | -               |
| 0.6180 | 550  | 0.0989        | -               |
| 0.6742 | 600  | 0.1094        | -               |
| 0.7303 | 650  | 0.1316        | -               |
| 0.7865 | 700  | 0.1207        | -               |
| 0.8427 | 750  | 0.1262        | -               |
| 0.8989 | 800  | 0.1229        | -               |
| 0.9551 | 850  | 0.0989        | -               |
| 0.0003 | 1    | 0.2061        | -               |
| 0.0155 | 50   | 0.2073        | -               |
| 0.0310 | 100  | 0.1844        | -               |
| 0.0465 | 150  | 0.1891        | -               |
| 0.0619 | 200  | 0.1975        | -               |
| 0.0774 | 250  | 0.1772        | -               |
| 0.0929 | 300  | 0.2304        | -               |
| 0.1084 | 350  | 0.2085        | -               |
| 0.1239 | 400  | 0.1851        | -               |
| 0.1394 | 450  | 0.1463        | -               |
| 0.1548 | 500  | 0.1216        | -               |
| 0.1703 | 550  | 0.1648        | -               |
| 0.1858 | 600  | 0.1359        | -               |
| 0.2013 | 650  | 0.163         | -               |
| 0.2168 | 700  | 0.1563        | -               |
| 0.2323 | 750  | 0.2           | -               |
| 0.2478 | 800  | 0.1425        | -               |
| 0.2632 | 850  | 0.1614        | -               |
| 0.2787 | 900  | 0.1881        | -               |
| 0.2942 | 950  | 0.133         | -               |
| 0.3097 | 1000 | 0.1348        | -               |
| 0.3252 | 1050 | 0.1256        | -               |
| 0.3407 | 1100 | 0.1065        | -               |
| 0.3561 | 1150 | 0.0932        | -               |
| 0.3716 | 1200 | 0.122         | -               |
| 0.3871 | 1250 | 0.0969        | -               |
| 0.4026 | 1300 | 0.1386        | -               |
| 0.4181 | 1350 | 0.1116        | -               |
| 0.4336 | 1400 | 0.0866        | -               |
| 0.4491 | 1450 | 0.084         | -               |
| 0.4645 | 1500 | 0.1073        | -               |
| 0.4800 | 1550 | 0.1065        | -               |
| 0.4955 | 1600 | 0.1063        | -               |
| 0.5110 | 1650 | 0.1235        | -               |
| 0.5265 | 1700 | 0.0918        | -               |
| 0.5420 | 1750 | 0.078         | -               |
| 0.5574 | 1800 | 0.1358        | -               |
| 0.5729 | 1850 | 0.0664        | -               |
| 0.5884 | 1900 | 0.1123        | -               |
| 0.6039 | 1950 | 0.0996        | -               |
| 0.6194 | 2000 | 0.0471        | -               |
| 0.6349 | 2050 | 0.1068        | -               |
| 0.6504 | 2100 | 0.0933        | -               |
| 0.6658 | 2150 | 0.0836        | -               |
| 0.6813 | 2200 | 0.0858        | -               |
| 0.6968 | 2250 | 0.0421        | -               |
| 0.7123 | 2300 | 0.08          | -               |
| 0.7278 | 2350 | 0.0902        | -               |
| 0.7433 | 2400 | 0.0949        | -               |
| 0.7587 | 2450 | 0.116         | -               |
| 0.7742 | 2500 | 0.0733        | -               |
| 0.7897 | 2550 | 0.101         | -               |
| 0.8052 | 2600 | 0.0709        | -               |
| 0.8207 | 2650 | 0.079         | -               |
| 0.8362 | 2700 | 0.0706        | -               |
| 0.8517 | 2750 | 0.0338        | -               |
| 0.8671 | 2800 | 0.0812        | -               |
| 0.8826 | 2850 | 0.063         | -               |
| 0.8981 | 2900 | 0.075         | -               |
| 0.9136 | 2950 | 0.081         | -               |
| 0.9291 | 3000 | 0.1264        | -               |
| 0.9446 | 3050 | 0.0766        | -               |
| 0.9600 | 3100 | 0.0873        | -               |
| 0.9755 | 3150 | 0.0512        | -               |
| 0.9910 | 3200 | 0.0816        | -               |

### 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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