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--- |
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base_model: BAAI/bge-small-en-v1.5 |
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library_name: setfit |
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metrics: |
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- accuracy |
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pipeline_tag: text-classification |
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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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widget: |
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- text: 'metrics.statistics.average letter per word: 4.83, 4.41, 4.65, 4.77, 4.56, |
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4.36, 4.94, 4.78, 4.68, 4.61, 4.92, 4.6, 4.59, 4.95, 4.88, 4.63, 4.9, 4.31, 4.81, |
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4.8' |
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- text: 'company.relationship: founder, None, founder/chairman, Relation, relation, |
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CEO, chairman, investor, founder and CEO, founder/CEO, owner, chairman of management |
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committee, founder and chairman, Chairman and Chief Executive Officer, general |
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director, executive chairman, Chairman/founder, founder, chairman, ceo, former |
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chairman and CEO, relation and chairman' |
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- text: 'variety: Western, Eastern' |
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- text: 'Data.Cholesterol: 14, 8, 12, 5, 2, 3, 4, 11, 15, 29, 34, 0, 6, 10, 13, 16, |
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17, 7, 59, 20' |
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- text: 'Date.Full: 8/26/1990, 3/24/1991, 3/31/1991, 4/7/1991, 4/14/1991, 4/21/1991, |
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4/28/1991, 5/5/1991, 5/12/1991, 5/19/1991, 5/26/1991, 6/2/1991, 6/9/1991, 6/16/1991, |
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6/23/1991, 6/30/1991, 7/7/1991, 7/14/1991, 7/21/1991, 7/28/1991' |
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inference: true |
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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: 0.6705461056401074 |
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name: Accuracy |
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--- |
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# SetFit with BAAI/bge-small-en-v1.5 |
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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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The model has been trained using an efficient few-shot learning technique that involves: |
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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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## Model Details |
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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:** 43 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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### Model Sources |
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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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### Model Labels |
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| Label | Examples | |
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|:------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| Latitude | <ul><li>'Latitude: 48,87217700, 48,85543800, 48,87416100, 48,87322500, 48,87422500, 48,84189000, 48,86617200, 48,87112100, 48,86552200, 48,87623100, 48,85609000, 48,85642700, 48,86853300, 48,87465400, 48,86995000, 48,85654000, 48,87022000, 48,86962600, 48,85663200, 48,83476200'</li><li>'lat: 40.7940823884086, 40.7948509408039, 40.7667178072558, 40.7697032606755, 40.797533370163, 40.7902561000937, 40.7693045133578, 40.7942883045566, 40.7729752391435, 40.7903128889029, 40.7762126854894, 40.7725908847499, 40.7931811701082, 40.7917367820255, 40.7829723919744, 40.7742879599026, 40.7823507678183, 40.7919669739962, 40.7702795904962, 40.7698124821507'</li><li>'lat: 83.92115933668057, 89.53277415300325, 85.37696959908148, 85.44622332365381, 84.28538158324413, 87.96664079539569, 86.11414393337242, 85.43864590316868, 87.65474214915454, 81.67725407101064, 90.47817498708324, 89.87993043195812, 81.56791356025577, 88.48808747114165, 89.3843538611984, 87.5218603199103, 83.99238693700401, 82.50195719071465, 85.84865551792468, 87.92121711225418'</li></ul> | |
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| Categorical | <ul><li>'SUSPECT_RACE_DESCRIPTION: (null), WHITE, BLACK HISPANIC, BLACK, WHITE HISPANIC, ASIAN/PAC.ISL, AMER IND, MALE'</li><li>'OFFICER_IN_UNIFORM_FLAG: Y, N, ('</li><li>'SUSPECT_HAIR_COLOR: BLK, BRO, BLD, XXX, (null), GRY, WHI, BLN, RED, ZZZ, PLE, GRN, SDY, ORG, BK, BA, BR, XX'</li></ul> | |
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| Day of Month | <ul><li>'Date.Day: 26, 24, 31, 7, 14, 21, 28, 5, 12, 19, 2, 9, 16, 23, 30, 4, 11, 18, 25, 1'</li><li>'Incident.Date.Day: 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23'</li><li>'bibliography.publication.day: 1, 17, 16, 20, 29, 10, 14, 11, 9, 18, 19, 22, 25, 15, 6, 28, 27, 2, 12, 21'</li></ul> | |
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| Year | <ul><li>'Year: 2020, 2019, 2018, 2017, 2016, 2015, 2014'</li><li>'YEAR2: 2017'</li><li>'artist.birth.year: 1930, 1852, 1898, 1760, 1935, 1964, 1967, 1940, 1947, 1938, 1728, 1868, 1927, 1917, 1878, 1895, 1904, 1912, 1899, 1767'</li></ul> | |
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| Integer | <ul><li>'unfavorable: 51.0, 55.0, 47.0, 60.0, 61.0, 56.0, 58.0, 57.0, 59.0, 61.9, 62.0, 54.0, 52.0, 53.0, 66.0, 67.0, 63.0, 49.0, 52.42, 56.9'</li><li>'Data.Totals.Violent.Rape: 281, 252, 218, 192, 397, 367, 341, 371, 396, 494, 637, 661, 660, 751, 811, 738, 794, 929, 954, 1037'</li><li>'AVG: 93429, 78009, 76358, 76258, 75606, 73515, 72885, 71625, 71624, 70534, 69914, 69879, 69671, 68950, 68857, 68846, 68833, 68387, 68099, 67431'</li></ul> | |
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| Floating Point Number | <ul><li>'dimensions.width: 0.0, 305.0, 250.0, 756.0, 2095.0, 480.0, 858.0, 558.0, 628.0, 302.0, 1226.0, 1270.0, 940.0, 2276.0, 864.0, 1420.0, 330.0, 267.0, 1225.0, 660.0'</li><li>'Data.Fiber: 0.0, 0.2, 0.3, 0.4, 0.7, 0.1, 1.0, 0.6, 0.5, 1.9, 1.1, 2.3, 0.8, 1.6, 0.9, 1.2, 37.0, 4.5, 9.1, 1.5'</li><li>' "Weight(Pounds)": 112.9925, 136.4873, 153.0269, 142.3354, 144.2971, 123.3024, 141.4947, 136.4623, 112.3723, 120.6672, 127.4516, 114.143, 125.6107, 122.4618, 116.0866, 139.9975, 129.5023, 142.9733, 137.9025, 124.0449'</li></ul> | |
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| Percentage | <ul><li>'pct: 51.0, 48.0, 44.2, 49.0, 48.4, 49.2, 1.4, 47.0, 48.2, 1.6, 50.0, 42.0, 1.0, 40.0, 53.0, 43.0, 46.0, 52.0, 45.0, 47.3'</li><li>'pct: 51.6, 41.4, 45.7, 46.8, 5.2, 46.0, 2.0, 48.0, 47.0, 44.0, 4.0, 5.0, 53.0, 55.5, 32.2, 54.7, 40.5, 54.3, 43.7, 45.0'</li><li>'PCT.2: 95.5, 96.5, 94.0, 99.4, 97.6, 100.9, 101.0, 101.1, 96.9, 98.0, 97.9, 98.1, 94.8, 100.7, 99.3, 97.1, 98.9, 98.7, 96.1, 99.7'</li></ul> | |
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| Secondary Address | <ul><li>'STOP_LOCATION_APARTMENT: (null), 2, 7, 4TH, 2FL, ROOF, ROOF T, BASEME, LOBBY, 17TH, 2 FLOO, 12, 1701, HALLWA, 1E, 5D, SIDEWA, FRONT, 12C, None'</li></ul> | |
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| U.S. State Abbreviation | <ul><li>'abbrev: AL, AK, AZ, AR, CA, CO, CT, DE, DC, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME'</li><li>'recipient_st: AK, AL, AR, AZ, CA, CO, CT, DC, FL, GA, HI, IA, ID, IL, IN, KA, KS, KY, LA, MA'</li><li>'Incident.Location.State: WA, OR, KS, CA, CO, OK, AZ, IA, PA, TX, OH, LA, MT, UT, AR, IL, NV, NM, MN, MO'</li></ul> | |
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| Numeric identifier | <ul><li>'pollster_id: 568, 1189, 1508, 1302, 1597, 396, 458, 1699, 1361, 169, 1075, 1406, 241, 1523, 399, 1351, 1528, 1365, 1347, 57'</li><li>'SUPERVISING_OFFICER_COMMAND_CODE: 574, 863, 1, 861, 5, 6, 234, 849, 136, 7, 804, 750, 868, 9, 108, 13, 10, 181, 598, 230'</li><li>'pollster_rating_id: 245, 609, 48, 437, 88, 599, 600, 263, 280, 314, 124, 357, 667, 317, 494, 325, 522, 556, 593, 216'</li></ul> | |
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| Month Number | <ul><li>'mp_month: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12'</li><li>'bibliography.publication.month: 6, 11, 3, 8, 1, 10, 7, 2, 4, 5, 9, 12'</li><li>'Incident.Date.Month: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12'</li></ul> | |
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| Date | <ul><li>'Date.Full: 8/26/1990, 3/24/1991, 3/31/1991, 4/7/1991, 4/14/1991, 4/21/1991, 4/28/1991, 5/5/1991, 5/12/1991, 5/19/1991, 5/26/1991, 6/2/1991, 6/9/1991, 6/16/1991, 6/23/1991, 6/30/1991, 7/7/1991, 7/14/1991, 7/21/1991, 7/28/1991'</li><li>'STOP_FRISK_DATE: 1/16/2017, 2/8/2017, 2/20/2017, 2/21/2017, 2/17/2017, 2/25/2017, 3/3/2017, 3/16/2017, 3/31/2017, 4/2/2017, 4/4/2017, 3/24/2017, 4/6/2017, 4/18/2017, 5/6/2017, 5/10/2017, 5/17/2017, 5/7/2017, 5/24/2017, 6/8/2017'</li><li>'disb_dt: 15-Sep-15, 16-Nov-15, 30-Sep-15, 18-Dec-15, 22-Oct-15, 3-Dec-15, 23-Nov-15, 29-Feb-16, 18-Mar-16, 27-Feb-16, 17-Feb-16, 25-Feb-16, 25-Jan-16, 14-Jan-16, 12-Jan-16, 22-Jan-16, 1-Jan-16, 3-Jan-16, 6-Jan-16, 11-Jan-16'</li></ul> | |
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| Full Name | <ul><li>'candidate_name: Abigail A. Spanberger, Nicholas J. Freitas, Kara Eastman, Don Bacon, Tyler Schaeffer, Jill Schupp, Ann Wagner, Martin Schulte, Dana Balter, John Katko, Steve Williams, Christina Hale, Victoria Spartz, Kenneth Tucker, Joyce Ann Elliott, French Hill, Jared Forrest Golden, Dale John Crafts, Marie Newman, Mike Fricilone'</li><li>'bibliography.author.name: Austen, Jane, Gilman, Charlotte Perkins, Carroll, Lewis, Shelley, Mary Wollstonecraft, Kafka, Franz, Twain, Mark, Wilde, Oscar, Douglass, Frederick, Ibsen, Henrik, Melville, Herman, Doyle, Arthur Conan, Dickens, Charles, Joyce, James, Swift, Jonathan, Stoker, Bram, Machiavelli, Niccolo, Tolstoy, Leo, graf, Grimm, Wilhelm, Vatsyayana, Unknown'</li><li>'Name: Cristiano Ronaldo, L. Messi, Neymar, L. Suárez, M. Neuer, R. Lewandowski, De Gea, E. Hazard, T. Kroos, G. Higuaín, Sergio Ramos, K. De Bruyne, T. Courtois, A. Sánchez, L. Modrić, G. Bale, S. Agüero, G. Chiellini, G. Buffon, P. Dybala'</li></ul> | |
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| Day of Week | <ul><li>'DAY2: Monday, Wednesday, Tuesday, Friday, Saturday, Thursday, Sunday'</li><li>'DAY2: Monday, Wednesday, Tuesday, Friday, Saturday, Thursday, Sunday'</li><li>'day: Sun, Sat, Thur, Fri'</li></ul> | |
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| Timestamp | <ul><li>'created_at: 12/30/20 12:29, 11/2/20 21:26, 11/2/20 22:16, 11/2/20 21:32, 11/2/20 22:01, 11/2/20 22:18, 11/2/20 22:26, 11/2/20 23:31, 11/2/20 21:49, 10/31/20 17:22, 11/1/20 14:39, 11/2/20 08:22, 10/29/20 14:16, 10/31/20 08:36, 10/29/20 11:08, 10/29/20 09:00, 10/29/20 16:13, 10/29/20 16:14, 10/30/20 15:45, 10/28/20 09:24'</li><li>'created_at: 12/21/22 09:28, 12/21/22 12:52, 12/16/22 18:27, 12/16/22 21:10, 12/14/22 10:39, 12/14/22 08:22, 12/15/22 18:31, 12/14/22 14:13, 12/13/22 09:36, 12/14/22 08:23, 12/14/22 15:40, 12/15/22 09:40, 12/7/22 10:47, 12/7/22 08:17, 12/7/22 17:56, 12/15/22 09:50, 11/30/22 09:25, 11/23/22 08:46, 12/1/22 09:39, 12/5/22 08:29'</li><li>'created_at: 12/21/22 09:28, 12/21/22 12:52, 12/16/22 18:27, 12/16/22 21:10, 12/14/22 10:39, 12/14/22 08:22, 12/15/22 18:31, 12/14/22 14:13, 12/13/22 09:36, 12/14/22 08:23, 12/14/22 15:40, 12/15/22 09:40, 12/7/22 10:47, 12/7/22 08:17, 12/7/22 17:56, 12/15/22 09:50, 11/30/22 09:25, 11/23/22 08:46, 12/1/22 09:39, 12/5/22 08:29'</li></ul> | |
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| URL | <ul><li>'url: https://docs.cdn.yougov.com/c5o6xiw8t9/econtoplines.pdf, https://docs.cdn.yougov.com/by8wjw1hur/econTabReport.pdf, https://subscriber.politicopro.com/newsletter/2022/12/who-supports-the-payment-pause-00072673, https://news.yahoo.com/new-poll-shows-stark-partisan-divide-when-it-comes-to-americans-view-of-schools-132510314.html, https://harvardharrispoll.com/wp-content/uploads/2022/12/HHP_Dec2022_KeyResults.pdf, https://echeloninsights.com/in-the-news/december-2022-omnibus-2/, https://docs.cdn.yougov.com/b94ttrxy3v/econtoplines.pdf, https://docs.cdn.yougov.com/urts2xadfd/econTabReport.pdf, https://www.foxnews.com/politics/fox-news-poll-americans-show-little-enthusiasm-biden-trump-rematch-2024, https://poll.qu.edu/poll-release?releaseid=3863, https://www.usatoday.com/story/news/politics/2022/12/13/trump-support-gop-2024-presidential-race-poll/10882346002/, https://www.wsj.com/articles/ron-desantis-holds-early-lead-over-donald-trump-among-gop-primary-voters-wsj-poll-shows-11670989311?mod=hp_lead_pos5, https://www.cnn.com/2022/12/14/politics/biden-trump-2024-poll/index.html, https://docs.cdn.yougov.com/dshfq4wqyr/econtoplines.pdf, https://docs.cdn.yougov.com/qsanp37uhh/econTabReport.pdf, https://www.yahoo.com/news/poll-trump-loses-ground-with-republicans-after-kanye-west-nick-fuentes-dinner-100204385.html, https://docs.cdn.yougov.com/regijt79ge/November_Georgia_Ads_joined_earlier.pdf, https://docs.cdn.yougov.com/xcvx6iu6em/November_Georgia_Ads_joined.pdf, https://news.gallup.com/poll/406892/party-images-stable-midterm-elections.aspx, https://docs.cdn.yougov.com/2zebcvjoec/econtoplines.pdf'</li><li>'Flag: https://cdn.sofifa.org/flags/38.png, https://cdn.sofifa.org/flags/52.png, https://cdn.sofifa.org/flags/54.png, https://cdn.sofifa.org/flags/60.png, https://cdn.sofifa.org/flags/21.png, https://cdn.sofifa.org/flags/37.png, https://cdn.sofifa.org/flags/45.png, https://cdn.sofifa.org/flags/7.png, https://cdn.sofifa.org/flags/55.png, https://cdn.sofifa.org/flags/10.png, https://cdn.sofifa.org/flags/50.png, https://cdn.sofifa.org/flags/27.png, https://cdn.sofifa.org/flags/44.png, https://cdn.sofifa.org/flags/18.png, https://cdn.sofifa.org/flags/115.png, https://cdn.sofifa.org/flags/46.png, https://cdn.sofifa.org/flags/34.png, https://cdn.sofifa.org/flags/13.png, https://cdn.sofifa.org/flags/43.png, https://cdn.sofifa.org/flags/14.png'</li><li>'Photo: https://cdn.sofifa.org/48/18/players/20801.png, https://cdn.sofifa.org/48/18/players/158023.png, https://cdn.sofifa.org/48/18/players/190871.png, https://cdn.sofifa.org/48/18/players/176580.png, https://cdn.sofifa.org/48/18/players/167495.png, https://cdn.sofifa.org/48/18/players/188545.png, https://cdn.sofifa.org/48/18/players/193080.png, https://cdn.sofifa.org/48/18/players/183277.png, https://cdn.sofifa.org/48/18/players/182521.png, https://cdn.sofifa.org/48/18/players/167664.png, https://cdn.sofifa.org/48/18/players/155862.png, https://cdn.sofifa.org/48/18/players/192985.png, https://cdn.sofifa.org/48/18/players/192119.png, https://cdn.sofifa.org/48/18/players/184941.png, https://cdn.sofifa.org/48/18/players/177003.png, https://cdn.sofifa.org/48/18/players/173731.png, https://cdn.sofifa.org/48/18/players/153079.png, https://cdn.sofifa.org/48/18/players/138956.png, https://cdn.sofifa.org/48/18/players/1179.png, https://cdn.sofifa.org/48/18/players/211110.png'</li></ul> | |
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| Street Address | <ul><li>'STOP_LOCATION_FULL_ADDRESS: 180 GREENWICH STREET, WALL STREET && BROADWAY, 75 GREENE STREET, 429 WEST BROADWAY, WEST STREET && CHAMBERS STREET, CHAMBERS STREET && WEST BROADWAY, CORTLANDT STREET && CHURCH STREET, 111 FULTON STREET, 25 CLIFF STREET, SPRING STREET && AVENUE OF THE AMERICAS, 130 CEDAR STREET, 225 LIBERTY STREET, BARCLAY STREET && WEST STREET, 153 GREENWICH STREET, BATTERY PLACE && STATE STREET, MERCER STREET && BROOME STREET, WEST STREET && CANAL STREET, BROADWAY && PRINCE STREET, WEST BROADWAY && AVENUE OF THE AMERICAS, 3 SOUTH STREET'</li><li>'STOP_LOCATION_FULL_ADDRESS: 180 GREENWICH STREET, WALL STREET && BROADWAY, 75 GREENE STREET, 429 WEST BROADWAY, WEST STREET && CHAMBERS STREET, CHAMBERS STREET && WEST BROADWAY, CORTLANDT STREET && CHURCH STREET, 111 FULTON STREET, 25 CLIFF STREET, SPRING STREET && AVENUE OF THE AMERICAS, 130 CEDAR STREET, 225 LIBERTY STREET, BARCLAY STREET && WEST STREET, 153 GREENWICH STREET, BATTERY PLACE && STATE STREET, MERCER STREET && BROOME STREET, WEST STREET && CANAL STREET, BROADWAY && PRINCE STREET, WEST BROADWAY && AVENUE OF THE AMERICAS, 3 SOUTH STREET'</li><li>'STOP_LOCATION_FULL_ADDRESS: 180 GREENWICH STREET, WALL STREET && BROADWAY, 75 GREENE STREET, 429 WEST BROADWAY, WEST STREET && CHAMBERS STREET, CHAMBERS STREET && WEST BROADWAY, CORTLANDT STREET && CHURCH STREET, 111 FULTON STREET, 25 CLIFF STREET, SPRING STREET && AVENUE OF THE AMERICAS, 130 CEDAR STREET, 225 LIBERTY STREET, BARCLAY STREET && WEST STREET, 153 GREENWICH STREET, BATTERY PLACE && STATE STREET, MERCER STREET && BROOME STREET, WEST STREET && CANAL STREET, BROADWAY && PRINCE STREET, WEST BROADWAY && AVENUE OF THE AMERICAS, 3 SOUTH STREET'</li></ul> | |
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| Country ISO Code | <ul><li>'Champion Nationality: AUS, FRA, GBR, NZL, USA, SRB, SUI, SWE, CZE, ESP, GER, NED, CRO, BRA, RUS'</li><li>'Runner-up Nationality: AUS, GBR, NZL, FRA, USA, RSA, CZE, ARG, GER, SUI, ESP, CRO, ROM, DEN, TCH, URS, CZ, SRB, CND, SWE'</li></ul> | |
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| Partial timestamp | <ul><li>'created_at: 12/17/20 21:39, 6/14/21 15:36, 11/2/20 09:02, 11/2/20 12:49, 11/2/20 19:02, 11/2/20 14:04, 11/2/20 17:37, 11/2/20 18:39, 11/2/20 18:40, 11/4/20 09:17, 11/4/20 10:29, 11/4/20 10:32, 11/4/20 10:38, 11/4/20 10:39, 11/28/20 21:14, 11/2/20 21:25, 11/2/20 21:32, 11/2/20 22:12, 11/2/20 23:30, 11/2/20 23:33'</li><li>'bibliography.publication.full: June, 1998, November, 1999, March, 1994, June 17, 2008, August 16, 2005, August 20, 2006, August 29, 2006, January 10, 2006, March, 2001, June, 2001, October 14, 1892, July, 1998, July, 2003, January, 1994, October 1997, August 16, 2013, February 11, 2006, June 9, 2008, January 1, 1870, April, 2001'</li><li>'Rating.Experience: Below, Same, None, Above'</li></ul> | |
|
| Longitude | <ul><li>'Longitude: 2,77228900, 2,77461100, 2,77370600, 2,77423900, 2,77654400, 2,79937600, 2,78064700, 2,77697400, 2,78928200, 2,78032200, 2,77731200, 2,77121300, 2,77167600, 2,78236500, 2,76694300, 2,77139500, 2,76872200, 2,76741500, 2,77156700, 2,82065100'</li><li>'Longitude: 6.85, 2.97, 2.53, -4.02, 10.87, 11.93, 12.7, 14.139, 14.426, 13.897, 14.83, 15.213, 15.064, 14.933, 14.962, 14.999, 12.02, 14.399, 23.336, 24.439'</li><li>'long: 40.65531753386127, 35.52146509142811, 41.04610174058556, 37.25718863973695, 37.73038191275334, 38.78755702518432, 36.31538469187874, 38.3542649521305, 40.33741738725765, 36.831052736369664, 37.39711396680899, 38.28297641253209, 40.25037415629944, 39.12501528359793, 40.179108531876246, 38.165405118101205, 40.28234452941448, 37.1590112746327, 40.08056518798263, 38.45329795732872'</li></ul> | |
|
| Country Name | <ul><li>'Geography: United States'</li><li>'location.citizenship: United States, Mexico, Switzerland, Spain, Hong Kong, Taiwan, Germany, Saudi Arabia, Japan, Sweden, France, Canada, Philippines, Indonesia, South Korea, Malaysia, Italy, Singapore, Nigeria, Brazil'</li><li>'Nation: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, The, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan'</li></ul> | |
|
| Boolean | <ul><li>'nationwide_batch: False'</li><li>'chasing: False, True'</li><li>'ID Workforce Status: True'</li></ul> | |
|
| Short text | <ul><li>'data.title: Backs, Illustration to Judith Shakespeare, Tri-Boro Barber Shop, Portrait of the Engraver Francesco Bartolozzi, Lady in Niche, Assassinations, Zebe, TRANSFERENCE ZONE, Five Sunsets in One Hour, Cartmel Fell, Composition: River in a Gorge, Winters Sleep, Christs Cross and Adams Tree, Space Construction with a Spiral, Toy Sailing Boats, the Round Pond, The Mutilated, The Cruise, Cut Bottle Relief, The Struggle, Figures in a Garden'</li><li>'specific_location: None, on tree stump, on tree roots, under a tree, in b/w trees, tree, Branch, bush, hiding in bushes, On a rock, trash can, Under bench, near 65th St arch, in the European Beech, on tree knob, Behind fence, tree, tree near large rock on Bridle Path, Climbing tree, "FIELD", bottom of tree'</li><li>"Facility.Name: Southeast Alabama Medical Center, Marshall Medical Center South, Eliza Coffee Memorial Hospital, Mizell Memorial Hospital, Crenshaw Community Hospital, St Vincent's East, Dekalb Regional Medical Center, Shelby Baptist Medical Center, Callahan Eye Hospital, Helen Keller Memorial Hospital, Dale Medical Center, Floyd Cherokee Medical Center, Baptist Medical Center South, Jackson Hospital & Clinic Inc, East Alabama Medical Center, Tanner Medical Center-east Alabama, University Of Alabama Hospital, Community Hospital Inc, Cullman Regional Medical Center, Andalusia Health"</li></ul> | |
|
| Slug | <ul><li>'Slug County: baldwin-county-al, calhoun-county-al, coffee-county-al, colbert-county-al, covington-county-al, cullman-county-al, dale-county-al, dallas-county-al, etowah-county-al, jackson-county-al, jefferson-county-al, lee-county-al, limestone-county-al, madison-county-al, marshall-county-al, mobile-county-al, montgomery-county-al, perry-county-al, pike-county-al, randolph-county-al'</li><li>'Slug Geography: united-states'</li><li>'Slug Detailed Occupation: physicians, physicians-surgeons, lawyers-judges-magistrates-other-judicial-workers, medical-health-services-managers, chief-executives-legislators, veterinarians, social-community-service-managers, securities-commodities-financial-services-sales-agents, petroleum-mining-geological-engineers-including-mining-safety-engineers, economists, miscellaneous-social-scientists-including-survey-researchers-sociologists, natural-sciences-managers, geoscientists-and-hydrologists-except-geographers, detectives-criminal-investigators, judicial-law-clerks, other-psychologists, architectural-engineering-managers, education-administrators, astronomers-physicists, public-relations-and-fundraising-managers'</li></ul> | |
|
| Postal Code | <ul><li>'Code postal: 77700.0, nan'</li></ul> | |
|
| Structured field | <ul><li>'SUSPECT_HEIGHT: 5.8, 6.2, 5.1, 5, 5.11, 5.5, 5.4, 5.7, 6.1, 6, 6.3, 5.6, 5.9, 6.4, 5.2, 6.5, 5.3, 4.11, , 2.2'</li><li>'SUSPECT_HEIGHT: 5.8, 6.2, 5.1, 5, 5.11, 5.5, 5.4, 5.7, 6.1, 6, 6.3, 5.6, 5.9, 6.4, 5.2, 6.5, 5.3, 4.11, , 2.2'</li><li>'Score: 6-3, 7-5, 6-2, 6-3, 6-4, 6-2, 6-4, 6-2, 6-2, 6-4, 6-4, 7-5, 6-1, 3-6, 6-1, 3-6, 6-4, 6-3, 6-3, 4-6, 8-6, 8-6, 6-1, 6-3, 8-6, 6-2, 6-4, 6-3, 6-2, 4-6, 3-6, 6-4, 6-8, 1-6, 6-2, 6-2, 6-2, 4-6, 7-5, 6-4, 6-4, 1-6, 6-3, 3-6, 6-4, 6-4, 6-4, 6-3, 3-6, 6-0, 6-1, 7-5, 8-6, 6-4, 4-6, 6-2, 6-3, 7-5, 6-3, 6-0, 6-2, 6-8, 5-7, 8-6, 6-3, 10-8, 6-2, 8-6, 3-6, 6-1, 6-3, 6-2, 6-3, 7-5, 6-0'</li></ul> | |
|
| Alphanumeric identifier | <ul><li>'ID Geography: 04000US04, 04000US06, 04000US32, 04000US41'</li><li>'ID County: 05000US01003, 05000US01015, 05000US01031, 05000US01033, 05000US01039, 05000US01043, 05000US01045, 05000US01047, 05000US01055, 05000US01071, 05000US01073, 05000US01081, 05000US01083, 05000US01089, 05000US01095, 05000US01097, 05000US01101, 05000US01105, 05000US01109, 05000US01111'</li><li>'ID Geography: 01000US, 04000US04, 04000US06, 04000US32, 04000US41, 31000US31080, 31000US40140, 31000US41740, 31000US41860'</li></ul> | |
|
| Color | <ul><li>'color: Yellow, Black, White'</li><li>'primary_fur_color: None, Gray, Cinnamon, Black'</li><li>'highlight_fur_color: None, Cinnamon, White, Gray, Cinnamon, White, Gray, White, Black, Cinnamon, White, Black, Black, White, Black, Cinnamon, Gray, Black'</li></ul> | |
|
| Month Name | <ul><li>'MONTH2: January, February, March, April, May, June, July, August, September, October, November, December'</li><li>'bibliography.publication.month name: June, November, March, August, January, October, July, February, April, May, September, December'</li><li>'MONTH2: January, February, March, April, May, June, July, August, September, October, November, December'</li></ul> | |
|
| Currency Code | <ul><li>'cur_name: AFN, DZD, AOA, ARS, AMD, AZN, BDT, INR, BYR, XOF, BTN, BOB, BIF, KHR, XAF, CVE, CNY, COP, USD, CDF'</li></ul> | |
|
| Time | <ul><li>'STOP_FRISK_TIME: 14:26:00, 11:10:00, 11:35:00, 13:20:00, 21:25:00, 20:00:00, 19:58:00, 13:15:00, 8:16:00, 18:44:00, 22:30:00, 4:45:00, 18:30:00, 0:00:00, 9:58:00, 11:15:00, 13:00:00, 8:00:00, 14:57:00, 4:15:00'</li><li>'STOP_FRISK_TIME: 14:26:00, 11:10:00, 11:35:00, 13:20:00, 21:25:00, 20:00:00, 19:58:00, 13:15:00, 8:16:00, 18:44:00, 22:30:00, 4:45:00, 18:30:00, 0:00:00, 9:58:00, 11:15:00, 13:00:00, 8:00:00, 14:57:00, 4:15:00'</li><li>'STOP_FRISK_TIME: 14:26:00, 11:10:00, 11:35:00, 13:20:00, 21:25:00, 20:00:00, 19:58:00, 13:15:00, 8:16:00, 18:44:00, 22:30:00, 4:45:00, 18:30:00, 0:00:00, 9:58:00, 11:15:00, 13:00:00, 8:00:00, 14:57:00, 4:15:00'</li></ul> | |
|
| Last Name | <ul><li>'candidat: Bush, Perot, Clinton'</li><li>'answer: Spanberger, Freitas, Eastman, Bacon, Schaeffer, Schupp, Wagner, Schulte, Balter, Katko, Williams, Hale, Spartz, Tucker, Elliott, Hill, Golden, Crafts, Newman, Fricilone'</li></ul> | |
|
| U.S. State | <ul><li>'Slug Geography: california'</li><li>'state_name: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine'</li><li>'state: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland'</li></ul> | |
|
| Street Name | <ul><li>'STOP_LOCATION_STREET_NAME: GREENWICH STREET, WALL STREET, GREENE STREET, WEST BROADWAY, WEST STREET, CHAMBERS STREET, CORTLANDT STREET, FULTON STREET, CLIFF STREET, SPRING STREET, CEDAR STREET, LIBERTY STREET, BARCLAY STREET, BATTERY PLACE, MERCER STREET, BROADWAY, SOUTH STREET, THOMPSON STREET, JAY STREET, CHURCH STREET'</li><li>'STOP_LOCATION_STREET_NAME: GREENWICH STREET, WALL STREET, GREENE STREET, WEST BROADWAY, WEST STREET, CHAMBERS STREET, CORTLANDT STREET, FULTON STREET, CLIFF STREET, SPRING STREET, CEDAR STREET, LIBERTY STREET, BARCLAY STREET, BATTERY PLACE, MERCER STREET, BROADWAY, SOUTH STREET, THOMPSON STREET, JAY STREET, CHURCH STREET'</li><li>'STOP_LOCATION_STREET_NAME: GREENWICH STREET, WALL STREET, GREENE STREET, WEST BROADWAY, WEST STREET, CHAMBERS STREET, CORTLANDT STREET, FULTON STREET, CLIFF STREET, SPRING STREET, CEDAR STREET, LIBERTY STREET, BARCLAY STREET, BATTERY PLACE, MERCER STREET, BROADWAY, SOUTH STREET, THOMPSON STREET, JAY STREET, CHURCH STREET'</li></ul> | |
|
| AM/PM | <ul><li>'shift: PM, AM'</li></ul> | |
|
| Occupation | <ul><li>'Detailed Occupation: Physicians, Physicians & surgeons, Lawyers, & judges, magistrates, & other judicial workers, Medical & health services managers, Chief executives & legislators, Veterinarians, Social & community service managers, Securities, commodities, & financial services sales agents, Petroleum, mining & geological engineers, including mining safety engineers, Economists, Miscellaneous social scientists, including survey researchers & sociologists, Natural sciences managers, Geoscientists and hydrologists, except geographers, Detectives & criminal investigators, Judicial law clerks, Other psychologists, Architectural & engineering managers, Education administrators, Astronomers & physicists, Public relations and fundraising managers'</li><li>'occupation: Operatives, Craftsmen, Sales, Other, Managers/admin, Professional/technical, Clerical/unskilled, Laborers, Transport, Service, nan, Household workers, Farm laborers, Farmers'</li><li>'Detailed Occupation: Other managers, Cashiers, Retail salespersons, Driver/sales workers & truck drivers, Registered nurses'</li></ul> | |
|
| Zip Code | <ul><li>'recipient_zip: 995084442, 99503, 995163436, 352124572, 35216, 35976, 358021277, 352174710, 35203, 35233, 35805, 72716, 72201, 72035, 72015, 72223, 72019, 72113, 72758, 72227'</li><li>'STOP_LOCATION_ZIP_CODE: (null), 20292, AVENUE, 5 AVEN, 10019, 22768, 10035, 10026, 10128, 24231, 10030, 10039, 23874, 11213, 11233, 100652, 10451, 23543, 100745, PROSPE'</li><li>'zip_codes: nan, 12081.0, 10090.0, 12423.0, 12420.0'</li></ul> | |
|
| Company Name | <ul><li>"company.name: Microsoft, Berkshire Hathaway, Telmex, F. Hoffmann-La Roche, Zara, Henderson Land Development, Oracle, Lin Yuan Group, Aldi, Sun Hung Kai Properties, Kingdom Holding Company, Koch industries, Cheung king, Walmart, Seibu Corporation, Las Vegas Sands, Aldi Nord, Tetra Pak, BMW, L'Oreal"</li></ul> | |
|
| First Name | <ul><li>'Top Name: Mary, Linda, Debra, Lisa, Michelle, Jennifer, Jessica, Samantha, Ashley, Hannah, Emily, Madison, Emma, Isabella, Sophia, Olivia, John, Robert, James, David'</li></ul> | |
|
| Very short text | <ul><li>'above_ground_sighter_measurement: None, FALSE, 4, 3, 30, 10, 6, 24, 8, 25, 5, 50, 70, 12, 2, 20, 7, 13, 15, 28'</li><li>'review_reason_code: 2, 1, 4, None, 5, 3, 7, 3?, 8, D, ?, 3, 1, 1 or 2, D or 1, 7B, 1, 2, 1 OR 2, D OR 2, B, 4?'</li><li>'status: N, Y, REMOVE, None, 1, ?, H, R, M, T'</li></ul> | |
|
| License Plate | <ul><li>'plate: AZIZ714, BATBOX1, BBOMBS, BEACHY1, BLK PWR5, BOT TAK, CHERIPI, CIO FTW, DAVES88, DMOBGFY, DOITFKR, EGGPUTT, F DIABDZ, FJ 666, FKK OFF, FKN BLAK, FLT ATCK, F LUPUS, HVNNHEL, H8DES'</li></ul> | |
|
| URI | <ul><li>'url: https://docs.cdn.yougov.com/c5o6xiw8t9/econtoplines.pdf, https://docs.cdn.yougov.com/by8wjw1hur/econTabReport.pdf, https://subscriber.politicopro.com/newsletter/2022/12/who-supports-the-payment-pause-00072673, https://news.yahoo.com/new-poll-shows-stark-partisan-divide-when-it-comes-to-americans-view-of-schools-132510314.html, https://harvardharrispoll.com/wp-content/uploads/2022/12/HHP_Dec2022_KeyResults.pdf, https://echeloninsights.com/in-the-news/december-2022-omnibus-2/, https://docs.cdn.yougov.com/b94ttrxy3v/econtoplines.pdf, https://docs.cdn.yougov.com/urts2xadfd/econTabReport.pdf, https://www.foxnews.com/politics/fox-news-poll-americans-show-little-enthusiasm-biden-trump-rematch-2024, https://poll.qu.edu/poll-release?releaseid=3863, https://www.usatoday.com/story/news/politics/2022/12/13/trump-support-gop-2024-presidential-race-poll/10882346002/, https://www.wsj.com/articles/ron-desantis-holds-early-lead-over-donald-trump-among-gop-primary-voters-wsj-poll-shows-11670989311?mod=hp_lead_pos5, https://www.cnn.com/2022/12/14/politics/biden-trump-2024-poll/index.html, https://docs.cdn.yougov.com/dshfq4wqyr/econtoplines.pdf, https://docs.cdn.yougov.com/qsanp37uhh/econTabReport.pdf, https://www.yahoo.com/news/poll-trump-loses-ground-with-republicans-after-kanye-west-nick-fuentes-dinner-100204385.html, https://docs.cdn.yougov.com/regijt79ge/November_Georgia_Ads_joined_earlier.pdf, https://docs.cdn.yougov.com/xcvx6iu6em/November_Georgia_Ads_joined.pdf, https://news.gallup.com/poll/406892/party-images-stable-midterm-elections.aspx, https://docs.cdn.yougov.com/2zebcvjoec/econtoplines.pdf'</li></ul> | |
|
| City Name | <ul><li>'Incident.Location.City: Shelton, Aloha, Wichita, San Francisco, Evans, Guthrie, Chandler, Assaria, Burlington, Knoxville, Stockton, Freeport, Columbus, Des Moines, New Orleans, Huntley, Salt Lake City, Strong, Syracuse, England'</li></ul> | |
|
|
|
## Evaluation |
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|
|
### Metrics |
|
| Label | Accuracy | |
|
|:--------|:---------| |
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| **all** | 0.6705 | |
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|
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## Uses |
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|
|
### 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("quantisan/bge-small-en-v1.5-93dataset") |
|
# Run inference |
|
preds = model("variety: Western, Eastern") |
|
``` |
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### Downstream Use |
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*List how someone could finetune this model on their own dataset.* |
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### Out-of-Scope Use |
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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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## Bias, Risks and Limitations |
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*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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### Recommendations |
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*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* |
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## Training Details |
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|
|
### Training Set Metrics |
|
| Training set | Min | Median | Max | |
|
|:-------------|:----|:--------|:----| |
|
| Word count | 2 | 24.0542 | 111 | |
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|
|
| Label | Training Sample Count | |
|
|:------------------------|:----------------------| |
|
| Categorical | 8 | |
|
| Timestamp | 5 | |
|
| Date | 8 | |
|
| Integer | 8 | |
|
| Partial timestamp | 4 | |
|
| Short text | 8 | |
|
| Very short text | 3 | |
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| AM/PM | 1 | |
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| Boolean | 8 | |
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| City Name | 1 | |
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| Color | 3 | |
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| Company Name | 1 | |
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| Country ISO Code | 2 | |
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| Country Name | 8 | |
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| Currency Code | 1 | |
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| Day of Month | 4 | |
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| Day of Week | 4 | |
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| First Name | 1 | |
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| Floating Point Number | 8 | |
|
| Full Name | 8 | |
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| Last Name | 2 | |
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| Latitude | 4 | |
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| License Plate | 1 | |
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| Longitude | 4 | |
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| Month Name | 6 | |
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| Month Number | 4 | |
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| Occupation | 3 | |
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| Postal Code | 1 | |
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| Secondary Address | 1 | |
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| Slug | 8 | |
|
| Street Address | 3 | |
|
| Street Name | 3 | |
|
| Time | 3 | |
|
| U.S. State | 8 | |
|
| U.S. State Abbreviation | 6 | |
|
| URI | 1 | |
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| URL | 8 | |
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| Year | 8 | |
|
| Zip Code | 4 | |
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|
|
### Training Hyperparameters |
|
- batch_size: (8, 8) |
|
- num_epochs: (4, 4) |
|
- max_steps: -1 |
|
- sampling_strategy: oversampling |
|
- body_learning_rate: (2e-05, 1e-05) |
|
- head_learning_rate: 0.01 |
|
- loss: CosineSimilarityLoss |
|
- distance_metric: cosine_distance |
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- margin: 0.25 |
|
- end_to_end: False |
|
- use_amp: False |
|
- warmup_proportion: 0.1 |
|
- l2_weight: 0.01 |
|
- seed: 42 |
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- eval_max_steps: -1 |
|
- load_best_model_at_end: True |
|
|
|
### Training Results |
|
| Epoch | Step | Training Loss | Validation Loss | |
|
|:------:|:-----:|:-------------:|:---------------:| |
|
| 0.0002 | 1 | 0.1131 | - | |
|
| 0.0100 | 50 | 0.2113 | - | |
|
| 0.0200 | 100 | 0.1906 | - | |
|
| 0.0301 | 150 | 0.1843 | - | |
|
| 0.0401 | 200 | 0.161 | - | |
|
| 0.0501 | 250 | 0.1418 | - | |
|
| 0.0601 | 300 | 0.131 | - | |
|
| 0.0701 | 350 | 0.1224 | - | |
|
| 0.0802 | 400 | 0.114 | - | |
|
| 0.0902 | 450 | 0.1039 | - | |
|
| 0.1002 | 500 | 0.0825 | - | |
|
| 0.1102 | 550 | 0.0838 | - | |
|
| 0.1202 | 600 | 0.0745 | - | |
|
| 0.1303 | 650 | 0.0705 | - | |
|
| 0.1403 | 700 | 0.0586 | - | |
|
| 0.1503 | 750 | 0.0552 | - | |
|
| 0.1603 | 800 | 0.0567 | - | |
|
| 0.1703 | 850 | 0.0553 | - | |
|
| 0.1804 | 900 | 0.0456 | - | |
|
| 0.1904 | 950 | 0.0443 | - | |
|
| 0.2004 | 1000 | 0.0422 | - | |
|
| 0.2104 | 1050 | 0.0363 | - | |
|
| 0.2204 | 1100 | 0.0397 | - | |
|
| 0.2305 | 1150 | 0.0361 | - | |
|
| 0.2405 | 1200 | 0.0269 | - | |
|
| 0.2505 | 1250 | 0.0331 | - | |
|
| 0.2605 | 1300 | 0.0278 | - | |
|
| 0.2705 | 1350 | 0.0297 | - | |
|
| 0.2806 | 1400 | 0.022 | - | |
|
| 0.2906 | 1450 | 0.0265 | - | |
|
| 0.3006 | 1500 | 0.0344 | - | |
|
| 0.3106 | 1550 | 0.0218 | - | |
|
| 0.3206 | 1600 | 0.0275 | - | |
|
| 0.3307 | 1650 | 0.0275 | - | |
|
| 0.3407 | 1700 | 0.0207 | - | |
|
| 0.3507 | 1750 | 0.0156 | - | |
|
| 0.3607 | 1800 | 0.0246 | - | |
|
| 0.3707 | 1850 | 0.0154 | - | |
|
| 0.3808 | 1900 | 0.0117 | - | |
|
| 0.3908 | 1950 | 0.0201 | - | |
|
| 0.4008 | 2000 | 0.0153 | - | |
|
| 0.4108 | 2050 | 0.018 | - | |
|
| 0.4208 | 2100 | 0.017 | - | |
|
| 0.4309 | 2150 | 0.011 | - | |
|
| 0.4409 | 2200 | 0.0158 | - | |
|
| 0.4509 | 2250 | 0.015 | - | |
|
| 0.4609 | 2300 | 0.0109 | - | |
|
| 0.4709 | 2350 | 0.0151 | - | |
|
| 0.4810 | 2400 | 0.0085 | - | |
|
| 0.4910 | 2450 | 0.0121 | - | |
|
| 0.5010 | 2500 | 0.0118 | - | |
|
| 0.5110 | 2550 | 0.0083 | - | |
|
| 0.5210 | 2600 | 0.0094 | - | |
|
| 0.5311 | 2650 | 0.0078 | - | |
|
| 0.5411 | 2700 | 0.0123 | - | |
|
| 0.5511 | 2750 | 0.0085 | - | |
|
| 0.5611 | 2800 | 0.0046 | - | |
|
| 0.5711 | 2850 | 0.0081 | - | |
|
| 0.5812 | 2900 | 0.0085 | - | |
|
| 0.5912 | 2950 | 0.0064 | - | |
|
| 0.6012 | 3000 | 0.0113 | - | |
|
| 0.6112 | 3050 | 0.0087 | - | |
|
| 0.6212 | 3100 | 0.0071 | - | |
|
| 0.6313 | 3150 | 0.01 | - | |
|
| 0.6413 | 3200 | 0.0093 | - | |
|
| 0.6513 | 3250 | 0.0056 | - | |
|
| 0.6613 | 3300 | 0.007 | - | |
|
| 0.6713 | 3350 | 0.0076 | - | |
|
| 0.6814 | 3400 | 0.0077 | - | |
|
| 0.6914 | 3450 | 0.0038 | - | |
|
| 0.7014 | 3500 | 0.0051 | - | |
|
| 0.7114 | 3550 | 0.0063 | - | |
|
| 0.7214 | 3600 | 0.004 | - | |
|
| 0.7315 | 3650 | 0.0036 | - | |
|
| 0.7415 | 3700 | 0.0043 | - | |
|
| 0.7515 | 3750 | 0.0086 | - | |
|
| 0.7615 | 3800 | 0.0051 | - | |
|
| 0.7715 | 3850 | 0.0056 | - | |
|
| 0.7816 | 3900 | 0.0042 | - | |
|
| 0.7916 | 3950 | 0.0062 | - | |
|
| 0.8016 | 4000 | 0.0058 | - | |
|
| 0.8116 | 4050 | 0.0034 | - | |
|
| 0.8216 | 4100 | 0.0062 | - | |
|
| 0.8317 | 4150 | 0.0091 | - | |
|
| 0.8417 | 4200 | 0.0056 | - | |
|
| 0.8517 | 4250 | 0.0039 | - | |
|
| 0.8617 | 4300 | 0.0072 | - | |
|
| 0.8717 | 4350 | 0.0051 | - | |
|
| 0.8818 | 4400 | 0.0025 | - | |
|
| 0.8918 | 4450 | 0.0051 | - | |
|
| 0.9018 | 4500 | 0.0049 | - | |
|
| 0.9118 | 4550 | 0.0024 | - | |
|
| 0.9218 | 4600 | 0.0026 | - | |
|
| 0.9319 | 4650 | 0.0046 | - | |
|
| 0.9419 | 4700 | 0.0024 | - | |
|
| 0.9519 | 4750 | 0.0026 | - | |
|
| 0.9619 | 4800 | 0.0045 | - | |
|
| 0.9719 | 4850 | 0.0022 | - | |
|
| 0.9820 | 4900 | 0.0042 | - | |
|
| 0.9920 | 4950 | 0.0067 | - | |
|
| 1.0 | 4990 | - | 0.0996 | |
|
| 1.0020 | 5000 | 0.0044 | - | |
|
| 1.0120 | 5050 | 0.0023 | - | |
|
| 1.0220 | 5100 | 0.0025 | - | |
|
| 1.0321 | 5150 | 0.004 | - | |
|
| 1.0421 | 5200 | 0.002 | - | |
|
| 1.0521 | 5250 | 0.0042 | - | |
|
| 1.0621 | 5300 | 0.0028 | - | |
|
| 1.0721 | 5350 | 0.006 | - | |
|
| 1.0822 | 5400 | 0.0043 | - | |
|
| 1.0922 | 5450 | 0.0065 | - | |
|
| 1.1022 | 5500 | 0.0042 | - | |
|
| 1.1122 | 5550 | 0.004 | - | |
|
| 1.1222 | 5600 | 0.0045 | - | |
|
| 1.1323 | 5650 | 0.0049 | - | |
|
| 1.1423 | 5700 | 0.0042 | - | |
|
| 1.1523 | 5750 | 0.0044 | - | |
|
| 1.1623 | 5800 | 0.002 | - | |
|
| 1.1723 | 5850 | 0.0037 | - | |
|
| 1.1824 | 5900 | 0.0038 | - | |
|
| 1.1924 | 5950 | 0.0071 | - | |
|
| 1.2024 | 6000 | 0.0044 | - | |
|
| 1.2124 | 6050 | 0.0031 | - | |
|
| 1.2224 | 6100 | 0.0021 | - | |
|
| 1.2325 | 6150 | 0.0019 | - | |
|
| 1.2425 | 6200 | 0.002 | - | |
|
| 1.2525 | 6250 | 0.0059 | - | |
|
| 1.2625 | 6300 | 0.002 | - | |
|
| 1.2725 | 6350 | 0.0036 | - | |
|
| 1.2826 | 6400 | 0.0019 | - | |
|
| 1.2926 | 6450 | 0.0041 | - | |
|
| 1.3026 | 6500 | 0.0042 | - | |
|
| 1.3126 | 6550 | 0.0062 | - | |
|
| 1.3226 | 6600 | 0.002 | - | |
|
| 1.3327 | 6650 | 0.0016 | - | |
|
| 1.3427 | 6700 | 0.0019 | - | |
|
| 1.3527 | 6750 | 0.0055 | - | |
|
| 1.3627 | 6800 | 0.0042 | - | |
|
| 1.3727 | 6850 | 0.0023 | - | |
|
| 1.3828 | 6900 | 0.0018 | - | |
|
| 1.3928 | 6950 | 0.0041 | - | |
|
| 1.4028 | 7000 | 0.008 | - | |
|
| 1.4128 | 7050 | 0.0021 | - | |
|
| 1.4228 | 7100 | 0.0017 | - | |
|
| 1.4329 | 7150 | 0.0021 | - | |
|
| 1.4429 | 7200 | 0.0017 | - | |
|
| 1.4529 | 7250 | 0.0035 | - | |
|
| 1.4629 | 7300 | 0.002 | - | |
|
| 1.4729 | 7350 | 0.0016 | - | |
|
| 1.4830 | 7400 | 0.0014 | - | |
|
| 1.4930 | 7450 | 0.0041 | - | |
|
| 1.5030 | 7500 | 0.0053 | - | |
|
| 1.5130 | 7550 | 0.0026 | - | |
|
| 1.5230 | 7600 | 0.002 | - | |
|
| 1.5331 | 7650 | 0.0017 | - | |
|
| 1.5431 | 7700 | 0.0017 | - | |
|
| 1.5531 | 7750 | 0.0016 | - | |
|
| 1.5631 | 7800 | 0.0021 | - | |
|
| 1.5731 | 7850 | 0.0039 | - | |
|
| 1.5832 | 7900 | 0.0034 | - | |
|
| 1.5932 | 7950 | 0.0061 | - | |
|
| 1.6032 | 8000 | 0.0025 | - | |
|
| 1.6132 | 8050 | 0.002 | - | |
|
| 1.6232 | 8100 | 0.0017 | - | |
|
| 1.6333 | 8150 | 0.0016 | - | |
|
| 1.6433 | 8200 | 0.0015 | - | |
|
| 1.6533 | 8250 | 0.0037 | - | |
|
| 1.6633 | 8300 | 0.0015 | - | |
|
| 1.6733 | 8350 | 0.0035 | - | |
|
| 1.6834 | 8400 | 0.0023 | - | |
|
| 1.6934 | 8450 | 0.0051 | - | |
|
| 1.7034 | 8500 | 0.0041 | - | |
|
| 1.7134 | 8550 | 0.0018 | - | |
|
| 1.7234 | 8600 | 0.0016 | - | |
|
| 1.7335 | 8650 | 0.0016 | - | |
|
| 1.7435 | 8700 | 0.0013 | - | |
|
| 1.7535 | 8750 | 0.0022 | - | |
|
| 1.7635 | 8800 | 0.0015 | - | |
|
| 1.7735 | 8850 | 0.0017 | - | |
|
| 1.7836 | 8900 | 0.0035 | - | |
|
| 1.7936 | 8950 | 0.0013 | - | |
|
| 1.8036 | 9000 | 0.0015 | - | |
|
| 1.8136 | 9050 | 0.0034 | - | |
|
| 1.8236 | 9100 | 0.0013 | - | |
|
| 1.8337 | 9150 | 0.0037 | - | |
|
| 1.8437 | 9200 | 0.0037 | - | |
|
| 1.8537 | 9250 | 0.0014 | - | |
|
| 1.8637 | 9300 | 0.0014 | - | |
|
| 1.8737 | 9350 | 0.0013 | - | |
|
| 1.8838 | 9400 | 0.0016 | - | |
|
| 1.8938 | 9450 | 0.0013 | - | |
|
| 1.9038 | 9500 | 0.0038 | - | |
|
| 1.9138 | 9550 | 0.0013 | - | |
|
| 1.9238 | 9600 | 0.0038 | - | |
|
| 1.9339 | 9650 | 0.0013 | - | |
|
| 1.9439 | 9700 | 0.0012 | - | |
|
| 1.9539 | 9750 | 0.0016 | - | |
|
| 1.9639 | 9800 | 0.0053 | - | |
|
| 1.9739 | 9850 | 0.0018 | - | |
|
| 1.9840 | 9900 | 0.0036 | - | |
|
| 1.9940 | 9950 | 0.0014 | - | |
|
| 2.0 | 9980 | - | 0.1052 | |
|
| 2.0040 | 10000 | 0.0012 | - | |
|
| 2.0140 | 10050 | 0.0014 | - | |
|
| 2.0240 | 10100 | 0.0013 | - | |
|
| 2.0341 | 10150 | 0.0014 | - | |
|
| 2.0441 | 10200 | 0.0012 | - | |
|
| 2.0541 | 10250 | 0.0014 | - | |
|
| 2.0641 | 10300 | 0.0013 | - | |
|
| 2.0741 | 10350 | 0.0012 | - | |
|
| 2.0842 | 10400 | 0.0013 | - | |
|
| 2.0942 | 10450 | 0.0033 | - | |
|
| 2.1042 | 10500 | 0.0013 | - | |
|
| 2.1142 | 10550 | 0.003 | - | |
|
| 2.1242 | 10600 | 0.0036 | - | |
|
| 2.1343 | 10650 | 0.0013 | - | |
|
| 2.1443 | 10700 | 0.0036 | - | |
|
| 2.1543 | 10750 | 0.0037 | - | |
|
| 2.1643 | 10800 | 0.0024 | - | |
|
| 2.1743 | 10850 | 0.0038 | - | |
|
| 2.1844 | 10900 | 0.0014 | - | |
|
| 2.1944 | 10950 | 0.0012 | - | |
|
| 2.2044 | 11000 | 0.0035 | - | |
|
| 2.2144 | 11050 | 0.0015 | - | |
|
| 2.2244 | 11100 | 0.0012 | - | |
|
| 2.2345 | 11150 | 0.0012 | - | |
|
| 2.2445 | 11200 | 0.0011 | - | |
|
| 2.2545 | 11250 | 0.0035 | - | |
|
| 2.2645 | 11300 | 0.0012 | - | |
|
| 2.2745 | 11350 | 0.0011 | - | |
|
| 2.2846 | 11400 | 0.0011 | - | |
|
| 2.2946 | 11450 | 0.0011 | - | |
|
| 2.3046 | 11500 | 0.0035 | - | |
|
| 2.3146 | 11550 | 0.0012 | - | |
|
| 2.3246 | 11600 | 0.0011 | - | |
|
| 2.3347 | 11650 | 0.0011 | - | |
|
| 2.3447 | 11700 | 0.0014 | - | |
|
| 2.3547 | 11750 | 0.0011 | - | |
|
| 2.3647 | 11800 | 0.0011 | - | |
|
| 2.3747 | 11850 | 0.0012 | - | |
|
| 2.3848 | 11900 | 0.0011 | - | |
|
| 2.3948 | 11950 | 0.001 | - | |
|
| 2.4048 | 12000 | 0.001 | - | |
|
| 2.4148 | 12050 | 0.0011 | - | |
|
| 2.4248 | 12100 | 0.0011 | - | |
|
| 2.4349 | 12150 | 0.0011 | - | |
|
| 2.4449 | 12200 | 0.001 | - | |
|
| 2.4549 | 12250 | 0.0034 | - | |
|
| 2.4649 | 12300 | 0.0011 | - | |
|
| 2.4749 | 12350 | 0.0013 | - | |
|
| 2.4850 | 12400 | 0.0012 | - | |
|
| 2.4950 | 12450 | 0.0015 | - | |
|
| 2.5050 | 12500 | 0.0011 | - | |
|
| 2.5150 | 12550 | 0.0034 | - | |
|
| 2.5251 | 12600 | 0.001 | - | |
|
| 2.5351 | 12650 | 0.0011 | - | |
|
| 2.5451 | 12700 | 0.0011 | - | |
|
| 2.5551 | 12750 | 0.001 | - | |
|
| 2.5651 | 12800 | 0.001 | - | |
|
| 2.5752 | 12850 | 0.0034 | - | |
|
| 2.5852 | 12900 | 0.0033 | - | |
|
| 2.5952 | 12950 | 0.0011 | - | |
|
| 2.6052 | 13000 | 0.001 | - | |
|
| 2.6152 | 13050 | 0.001 | - | |
|
| 2.6253 | 13100 | 0.0012 | - | |
|
| 2.6353 | 13150 | 0.0011 | - | |
|
| 2.6453 | 13200 | 0.0033 | - | |
|
| 2.6553 | 13250 | 0.0034 | - | |
|
| 2.6653 | 13300 | 0.001 | - | |
|
| 2.6754 | 13350 | 0.001 | - | |
|
| 2.6854 | 13400 | 0.0034 | - | |
|
| 2.6954 | 13450 | 0.001 | - | |
|
| 2.7054 | 13500 | 0.001 | - | |
|
| 2.7154 | 13550 | 0.001 | - | |
|
| 2.7255 | 13600 | 0.0009 | - | |
|
| 2.7355 | 13650 | 0.001 | - | |
|
| 2.7455 | 13700 | 0.001 | - | |
|
| 2.7555 | 13750 | 0.0009 | - | |
|
| 2.7655 | 13800 | 0.001 | - | |
|
| 2.7756 | 13850 | 0.0009 | - | |
|
| 2.7856 | 13900 | 0.0031 | - | |
|
| 2.7956 | 13950 | 0.001 | - | |
|
| 2.8056 | 14000 | 0.0031 | - | |
|
| 2.8156 | 14050 | 0.0033 | - | |
|
| 2.8257 | 14100 | 0.001 | - | |
|
| 2.8357 | 14150 | 0.0009 | - | |
|
| 2.8457 | 14200 | 0.0009 | - | |
|
| 2.8557 | 14250 | 0.0009 | - | |
|
| 2.8657 | 14300 | 0.001 | - | |
|
| 2.8758 | 14350 | 0.001 | - | |
|
| 2.8858 | 14400 | 0.0033 | - | |
|
| 2.8958 | 14450 | 0.001 | - | |
|
| 2.9058 | 14500 | 0.001 | - | |
|
| 2.9158 | 14550 | 0.001 | - | |
|
| 2.9259 | 14600 | 0.0033 | - | |
|
| 2.9359 | 14650 | 0.001 | - | |
|
| 2.9459 | 14700 | 0.0009 | - | |
|
| 2.9559 | 14750 | 0.001 | - | |
|
| 2.9659 | 14800 | 0.001 | - | |
|
| 2.9760 | 14850 | 0.0009 | - | |
|
| 2.9860 | 14900 | 0.0009 | - | |
|
| 2.9960 | 14950 | 0.0009 | - | |
|
| 3.0 | 14970 | - | 0.1077 | |
|
| 3.0060 | 15000 | 0.0033 | - | |
|
| 3.0160 | 15050 | 0.0009 | - | |
|
| 3.0261 | 15100 | 0.0009 | - | |
|
| 3.0361 | 15150 | 0.0009 | - | |
|
| 3.0461 | 15200 | 0.0009 | - | |
|
| 3.0561 | 15250 | 0.0008 | - | |
|
| 3.0661 | 15300 | 0.001 | - | |
|
| 3.0762 | 15350 | 0.0009 | - | |
|
| 3.0862 | 15400 | 0.0009 | - | |
|
| 3.0962 | 15450 | 0.0032 | - | |
|
| 3.1062 | 15500 | 0.0009 | - | |
|
| 3.1162 | 15550 | 0.0009 | - | |
|
| 3.1263 | 15600 | 0.0009 | - | |
|
| 3.1363 | 15650 | 0.0009 | - | |
|
| 3.1463 | 15700 | 0.0008 | - | |
|
| 3.1563 | 15750 | 0.0009 | - | |
|
| 3.1663 | 15800 | 0.0009 | - | |
|
| 3.1764 | 15850 | 0.0008 | - | |
|
| 3.1864 | 15900 | 0.0008 | - | |
|
| 3.1964 | 15950 | 0.0009 | - | |
|
| 3.2064 | 16000 | 0.0009 | - | |
|
| 3.2164 | 16050 | 0.0033 | - | |
|
| 3.2265 | 16100 | 0.0031 | - | |
|
| 3.2365 | 16150 | 0.0008 | - | |
|
| 3.2465 | 16200 | 0.0008 | - | |
|
| 3.2565 | 16250 | 0.0008 | - | |
|
| 3.2665 | 16300 | 0.0008 | - | |
|
| 3.2766 | 16350 | 0.0008 | - | |
|
| 3.2866 | 16400 | 0.0008 | - | |
|
| 3.2966 | 16450 | 0.0008 | - | |
|
| 3.3066 | 16500 | 0.0009 | - | |
|
| 3.3166 | 16550 | 0.0008 | - | |
|
| 3.3267 | 16600 | 0.0032 | - | |
|
| 3.3367 | 16650 | 0.0008 | - | |
|
| 3.3467 | 16700 | 0.0008 | - | |
|
| 3.3567 | 16750 | 0.0009 | - | |
|
| 3.3667 | 16800 | 0.0031 | - | |
|
| 3.3768 | 16850 | 0.0009 | - | |
|
| 3.3868 | 16900 | 0.0008 | - | |
|
| 3.3968 | 16950 | 0.0009 | - | |
|
| 3.4068 | 17000 | 0.0009 | - | |
|
| 3.4168 | 17050 | 0.0008 | - | |
|
| 3.4269 | 17100 | 0.0009 | - | |
|
| 3.4369 | 17150 | 0.0031 | - | |
|
| 3.4469 | 17200 | 0.0032 | - | |
|
| 3.4569 | 17250 | 0.0008 | - | |
|
| 3.4669 | 17300 | 0.0008 | - | |
|
| 3.4770 | 17350 | 0.0008 | - | |
|
| 3.4870 | 17400 | 0.0008 | - | |
|
| 3.4970 | 17450 | 0.0057 | - | |
|
| 3.5070 | 17500 | 0.0032 | - | |
|
| 3.5170 | 17550 | 0.0009 | - | |
|
| 3.5271 | 17600 | 0.0052 | - | |
|
| 3.5371 | 17650 | 0.0008 | - | |
|
| 3.5471 | 17700 | 0.0009 | - | |
|
| 3.5571 | 17750 | 0.0008 | - | |
|
| 3.5671 | 17800 | 0.0008 | - | |
|
| 3.5772 | 17850 | 0.0008 | - | |
|
| 3.5872 | 17900 | 0.0008 | - | |
|
| 3.5972 | 17950 | 0.0009 | - | |
|
| 3.6072 | 18000 | 0.0032 | - | |
|
| 3.6172 | 18050 | 0.0008 | - | |
|
| 3.6273 | 18100 | 0.0008 | - | |
|
| 3.6373 | 18150 | 0.0008 | - | |
|
| 3.6473 | 18200 | 0.0008 | - | |
|
| 3.6573 | 18250 | 0.0008 | - | |
|
| 3.6673 | 18300 | 0.0008 | - | |
|
| 3.6774 | 18350 | 0.0008 | - | |
|
| 3.6874 | 18400 | 0.0008 | - | |
|
| 3.6974 | 18450 | 0.0008 | - | |
|
| 3.7074 | 18500 | 0.0008 | - | |
|
| 3.7174 | 18550 | 0.0007 | - | |
|
| 3.7275 | 18600 | 0.0008 | - | |
|
| 3.7375 | 18650 | 0.0008 | - | |
|
| 3.7475 | 18700 | 0.003 | - | |
|
| 3.7575 | 18750 | 0.0008 | - | |
|
| 3.7675 | 18800 | 0.0008 | - | |
|
| 3.7776 | 18850 | 0.0008 | - | |
|
| 3.7876 | 18900 | 0.0007 | - | |
|
| 3.7976 | 18950 | 0.0008 | - | |
|
| 3.8076 | 19000 | 0.0007 | - | |
|
| 3.8176 | 19050 | 0.0007 | - | |
|
| 3.8277 | 19100 | 0.0029 | - | |
|
| 3.8377 | 19150 | 0.0007 | - | |
|
| 3.8477 | 19200 | 0.0008 | - | |
|
| 3.8577 | 19250 | 0.0031 | - | |
|
| 3.8677 | 19300 | 0.0007 | - | |
|
| 3.8778 | 19350 | 0.0007 | - | |
|
| 3.8878 | 19400 | 0.0008 | - | |
|
| 3.8978 | 19450 | 0.0008 | - | |
|
| 3.9078 | 19500 | 0.0031 | - | |
|
| 3.9178 | 19550 | 0.0008 | - | |
|
| 3.9279 | 19600 | 0.0008 | - | |
|
| 3.9379 | 19650 | 0.0007 | - | |
|
| 3.9479 | 19700 | 0.0008 | - | |
|
| 3.9579 | 19750 | 0.0008 | - | |
|
| 3.9679 | 19800 | 0.0008 | - | |
|
| 3.9780 | 19850 | 0.0008 | - | |
|
| 3.9880 | 19900 | 0.0008 | - | |
|
| 3.9980 | 19950 | 0.0007 | - | |
|
| 4.0 | 19960 | - | 0.1050 | |
|
|
|
### Framework Versions |
|
- Python: 3.11.10 |
|
- SetFit: 1.1.0 |
|
- Sentence Transformers: 3.1.1 |
|
- Transformers: 4.45.2 |
|
- PyTorch: 2.4.1+cu124 |
|
- Datasets: 3.0.1 |
|
- Tokenizers: 0.20.0 |
|
|
|
## Citation |
|
|
|
### BibTeX |
|
```bibtex |
|
@article{https://doi.org/10.48550/arxiv.2209.11055, |
|
doi = {10.48550/ARXIV.2209.11055}, |
|
url = {https://arxiv.org/abs/2209.11055}, |
|
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren}, |
|
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, |
|
title = {Efficient Few-Shot Learning Without Prompts}, |
|
publisher = {arXiv}, |
|
year = {2022}, |
|
copyright = {Creative Commons Attribution 4.0 International} |
|
} |
|
``` |
|
|
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