--- library_name: setfit metrics: - accuracy pipeline_tag: text-classification tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer widget: - text: If the Probable Cause Committee determines that charges should be filed, the respondent is notified of the specific nature of the charges and the Board's proposed settlement of the issues. Said notice shall be sent by certified mail, return receipt requested, to the respondent's last known address. If a hearing is to be scheduled, the notice shall be sent by certified mail, return receipt requested, to the respondent's last known address not less than ten (10) days before the date of the scheduled hearing. The Board will conduct the hearing with the assistance of a hearing officer, who will hear all competent and relevant evidence in support of the charges. The hearing will be conducted in accordance with the Alabama Administrative Procedures Act, Section 41-22-13, Code of Ala. 1975. Upon conclusion of the hearing, the members of the Board (excluding the Probable Cause Committee Board member) will determine the appropriate action to be taken, and shall notify, or cause to be notified, the respondent of such action. If the Board suspends or revokes a registration, or issues a reprimand or fine against the respondent, he or she may appeal to the Circuit Court of Montgomery County, Alabama. - text: Definitions governing the construction of this subchapter can be found in Chapter 1, Section 790 of this subdivision. - text: Any decision to deny, restrict or limit an inmate of any right, service, item or article, guaranteed an inmate by the provisions of this Part, shall be done in accordance with section 7075.5 of this Title. - text: 'After a port drayage motor carrier has been placed on the public list, the Labor Commissioner shall remove the motor carrier from the list within 15 business days upon the following: (a) The Labor Commissioner''s Office determines after review of submitted documents specified in subsections (1), (2), and (3) that there has been full payment of an unsatisfied judgment or any other final liability for all violations identified in Labor Code sections 2810.4(b)(1)(A)-(B) or that the port drayage motor carrier has entered into an approved settlement dispensing of the judgment or liability; or, in the case of a subsequent liability against a prior offender, the prior offender prevailed in an appeal. (1) A port drayage motor carrier shall present such proof by submitting a written statement under penalty of perjury stating the basis for removal of the listing, along with the accompanying documentation specified in subsections (2) and (3), as applicable, by mail to the Labor Commissioner''s Office, Attn: SB 1402 Proof of Payment or Settlement, 1500 Hughes Way, Suite C-202, Long Beach, CA 90810, or electronically in pdf format via email to: SB1402@dir.ca.gov. (2) For purposes of sufficiently documenting the payment or satisfaction of a judgment, tax assessment, or tax lien or a citation or ODA, the port drayage motor carrier shall identify and provide the documentation required under Section 13878, as applicable. (3) For purposes of sufficiently documenting a disposition regarding a port drayage motor carrier who is a prior offender who prevailed on appeal from a subsequent non-final judgment or ruling or final citation or ODA, the motor carrier shall identify and provide a conformed copy of the final judgment, ruling, citation, tax assessment, tax, order, decision, or award which indicates the final disposition on the appeal. (4) The port drayage motor carrier shall also provide documentation to show that violations of any labor or employment law or regulation subject to a final judgment or final citation or ODA have been sufficiently abated. This documentation shall include: a statement under penalty of perjury that the port drayage motor carrier does not currently engage in the labor practices identified as unlawful in the final judgment, final citation or ODA, and a description of the steps the motor carrier took to abate the violation(s). Subject to the Labor Commissioner''s request, the agency may determine whether an applicable violation was abated by reviewing any documents the motor carrier is required to maintain under the Labor Code, wage orders, or any other applicable law. (b) The Labor Commissioner''s Office will inform the port drayage motor carrier by letter of the agency''s determination of whether the motor carrier has presented sufficient proof to merit removal from the public list. (c) If a port drayage motor carrier on the public list has multiple liability determinations posted on the public list, a separate request for removal must be provided for each determination. Each removal request will be considered individually and only the liability determination that is the subject of that removal request may be removed.' - text: '(Repealed). Author: Michael E. Mason, CPA' inference: true --- # SetFit This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. 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 - **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:** 5000 classes ### 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) ## 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("rkoh/setfit-bert") # Run inference preds = model("(Repealed). Author: Michael E. Mason, CPA") ``` ## Training Details ### Training Set Metrics | Training set | Min | Median | Max | |:-------------|:----------|:-----------------|:--------------| | Word count | tensor(1) | tensor(370.1842) | tensor(52538) | | Label | Training Sample Count | |:-------------------------------|:----------------------| | Purpose - Regulatory Objective | 0 | | Scope and Applicability | 0 | | Authority and Legal Basis | 0 | | Administrative Details | 0 | | Non-Purpose | 0 | ### Training Hyperparameters - batch_size: (32, 32) - 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 - l2_weight: 0.01 - seed: 42 - eval_max_steps: -1 - load_best_model_at_end: True ### Training Results | Epoch | Step | Training Loss | Validation Loss | |:------:|:----:|:-------------:|:---------------:| | 0.0002 | 1 | 0.1006 | - | | 0.0016 | 10 | 0.0759 | - | | 0.0032 | 20 | 0.0767 | - | | 0.0048 | 30 | 0.0852 | - | | 0.0064 | 40 | 0.0765 | - | | 0.008 | 50 | 0.078 | - | | 0.0096 | 60 | 0.0734 | - | | 0.0112 | 70 | 0.0687 | - | | 0.0128 | 80 | 0.0566 | - | | 0.0144 | 90 | 0.065 | - | | 0.016 | 100 | 0.0583 | - | | 0.0176 | 110 | 0.0584 | - | | 0.0192 | 120 | 0.0466 | - | | 0.0208 | 130 | 0.0661 | - | | 0.0224 | 140 | 0.0583 | - | | 0.024 | 150 | 0.0494 | - | | 0.0256 | 160 | 0.0451 | - | | 0.0272 | 170 | 0.0443 | - | | 0.0288 | 180 | 0.0409 | - | | 0.0304 | 190 | 0.0513 | - | | 0.032 | 200 | 0.0415 | - | | 0.0336 | 210 | 0.0413 | - | | 0.0352 | 220 | 0.0478 | - | | 0.0368 | 230 | 0.0319 | - | | 0.0384 | 240 | 0.0273 | - | | 0.04 | 250 | 0.0418 | - | | 0.0416 | 260 | 0.0415 | - | | 0.0432 | 270 | 0.0454 | - | | 0.0448 | 280 | 0.0333 | - | | 0.0464 | 290 | 0.0341 | - | | 0.048 | 300 | 0.0504 | - | | 0.0496 | 310 | 0.0296 | - | | 0.0512 | 320 | 0.0293 | - | | 0.0528 | 330 | 0.0263 | - | | 0.0544 | 340 | 0.0292 | - | | 0.056 | 350 | 0.0394 | - | | 0.0576 | 360 | 0.0246 | - | | 0.0592 | 370 | 0.0419 | - | | 0.0608 | 380 | 0.0251 | - | | 0.0624 | 390 | 0.02 | - | | 0.064 | 400 | 0.0397 | - | | 0.0656 | 410 | 0.0151 | - | | 0.0672 | 420 | 0.0312 | - | | 0.0688 | 430 | 0.0336 | - | | 0.0704 | 440 | 0.0194 | - | | 0.072 | 450 | 0.0251 | - | | 0.0736 | 460 | 0.0167 | - | | 0.0752 | 470 | 0.0203 | - | | 0.0768 | 480 | 0.0158 | - | | 0.0784 | 490 | 0.0165 | - | | 0.08 | 500 | 0.0181 | - | | 0.0816 | 510 | 0.0153 | - | | 0.0832 | 520 | 0.0301 | - | | 0.0848 | 530 | 0.0243 | - | | 0.0864 | 540 | 0.0271 | - | | 0.088 | 550 | 0.0185 | - | | 0.0896 | 560 | 0.0221 | - | | 0.0912 | 570 | 0.0171 | - | | 0.0928 | 580 | 0.0284 | - | | 0.0944 | 590 | 0.0335 | - | | 0.096 | 600 | 0.0163 | - | | 0.0976 | 610 | 0.0199 | - | | 0.0992 | 620 | 0.0212 | - | | 0.1008 | 630 | 0.0253 | - | | 0.1024 | 640 | 0.0173 | - | | 0.104 | 650 | 0.0376 | - | | 0.1056 | 660 | 0.0135 | - | | 0.1072 | 670 | 0.0216 | - | | 0.1088 | 680 | 0.0279 | - | | 0.1104 | 690 | 0.0126 | - | | 0.112 | 700 | 0.0144 | - | | 0.1136 | 710 | 0.0149 | - | | 0.1152 | 720 | 0.0186 | - | | 0.1168 | 730 | 0.0084 | - | | 0.1184 | 740 | 0.0231 | - | | 0.12 | 750 | 0.0152 | - | | 0.1216 | 760 | 0.0174 | - | | 0.1232 | 770 | 0.0235 | - | | 0.1248 | 780 | 0.0144 | - | | 0.1264 | 790 | 0.0081 | - | | 0.128 | 800 | 0.0209 | - | | 0.1296 | 810 | 0.014 | - | | 0.1312 | 820 | 0.0208 | - | | 0.1328 | 830 | 0.0146 | - | | 0.1344 | 840 | 0.0159 | - | | 0.136 | 850 | 0.0119 | - | | 0.1376 | 860 | 0.0251 | - | | 0.1392 | 870 | 0.0153 | - | | 0.1408 | 880 | 0.0077 | - | | 0.1424 | 890 | 0.0136 | - | | 0.144 | 900 | 0.0131 | - | | 0.1456 | 910 | 0.0058 | - | | 0.1472 | 920 | 0.0146 | - | | 0.1488 | 930 | 0.0186 | - | | 0.1504 | 940 | 0.014 | - | | 0.152 | 950 | 0.0127 | - | | 0.1536 | 960 | 0.0074 | - | | 0.1552 | 970 | 0.0246 | - | | 0.1568 | 980 | 0.0137 | - | | 0.1584 | 990 | 0.0061 | - | | 0.16 | 1000 | 0.0067 | - | | 0.1616 | 1010 | 0.0125 | - | | 0.1632 | 1020 | 0.01 | - | | 0.1648 | 1030 | 0.0116 | - | | 0.1664 | 1040 | 0.0098 | - | | 0.168 | 1050 | 0.0116 | - | | 0.1696 | 1060 | 0.0051 | - | | 0.1712 | 1070 | 0.0014 | - | | 0.1728 | 1080 | 0.0056 | - | | 0.1744 | 1090 | 0.0009 | - | | 0.176 | 1100 | 0.0074 | - | | 0.1776 | 1110 | 0.0019 | - | | 0.1792 | 1120 | 0.0022 | - | | 0.1808 | 1130 | 0.0063 | - | | 0.1824 | 1140 | 0.0059 | - | | 0.184 | 1150 | 0.0065 | - | | 0.1856 | 1160 | 0.0151 | - | | 0.1872 | 1170 | 0.0034 | - | | 0.1888 | 1180 | 0.0033 | - | | 0.1904 | 1190 | 0.0085 | - | | 0.192 | 1200 | 0.0041 | - | | 0.1936 | 1210 | 0.0084 | - | | 0.1952 | 1220 | 0.004 | - | | 0.1968 | 1230 | 0.0148 | - | | 0.1984 | 1240 | 0.0111 | - | | 0.2 | 1250 | 0.0125 | - | | 0.2016 | 1260 | 0.0086 | - | | 0.2032 | 1270 | 0.0042 | - | | 0.2048 | 1280 | 0.0041 | - | | 0.2064 | 1290 | 0.0078 | - | | 0.208 | 1300 | 0.0042 | - | | 0.2096 | 1310 | 0.0078 | - | | 0.2112 | 1320 | 0.0065 | - | | 0.2128 | 1330 | 0.0079 | - | | 0.2144 | 1340 | 0.0157 | - | | 0.216 | 1350 | 0.0086 | - | | 0.2176 | 1360 | 0.0057 | - | | 0.2192 | 1370 | 0.0025 | - | | 0.2208 | 1380 | 0.0057 | - | | 0.2224 | 1390 | 0.0051 | - | | 0.224 | 1400 | 0.0054 | - | | 0.2256 | 1410 | 0.0048 | - | | 0.2272 | 1420 | 0.01 | - | | 0.2288 | 1430 | 0.0087 | - | | 0.2304 | 1440 | 0.0053 | - | | 0.232 | 1450 | 0.0046 | - | | 0.2336 | 1460 | 0.004 | - | | 0.2352 | 1470 | 0.0062 | - | | 0.2368 | 1480 | 0.0088 | - | | 0.2384 | 1490 | 0.0093 | - | | 0.24 | 1500 | 0.0005 | - | | 0.2416 | 1510 | 0.0074 | - | | 0.2432 | 1520 | 0.0042 | - | | 0.2448 | 1530 | 0.0072 | - | | 0.2464 | 1540 | 0.0007 | - | | 0.248 | 1550 | 0.005 | - | | 0.2496 | 1560 | 0.002 | - | | 0.2512 | 1570 | 0.001 | - | | 0.2528 | 1580 | 0.0062 | - | | 0.2544 | 1590 | 0.0004 | - | | 0.256 | 1600 | 0.0009 | - | | 0.2576 | 1610 | 0.0041 | - | | 0.2592 | 1620 | 0.0119 | - | | 0.2608 | 1630 | 0.0011 | - | | 0.2624 | 1640 | 0.0104 | - | | 0.264 | 1650 | 0.0037 | - | | 0.2656 | 1660 | 0.0005 | - | | 0.2672 | 1670 | 0.004 | - | | 0.2688 | 1680 | 0.0036 | - | | 0.2704 | 1690 | 0.0037 | - | | 0.272 | 1700 | 0.0013 | - | | 0.2736 | 1710 | 0.0004 | - | | 0.2752 | 1720 | 0.0006 | - | | 0.2768 | 1730 | 0.0065 | - | | 0.2784 | 1740 | 0.0033 | - | | 0.28 | 1750 | 0.0009 | - | | 0.2816 | 1760 | 0.0117 | - | | 0.2832 | 1770 | 0.0033 | - | | 0.2848 | 1780 | 0.0032 | - | | 0.2864 | 1790 | 0.0037 | - | | 0.288 | 1800 | 0.0022 | - | | 0.2896 | 1810 | 0.0011 | - | | 0.2912 | 1820 | 0.0006 | - | | 0.2928 | 1830 | 0.0007 | - | | 0.2944 | 1840 | 0.0054 | - | | 0.296 | 1850 | 0.0007 | - | | 0.2976 | 1860 | 0.0035 | - | | 0.2992 | 1870 | 0.0038 | - | | 0.3008 | 1880 | 0.0075 | - | | 0.3024 | 1890 | 0.0017 | - | | 0.304 | 1900 | 0.0005 | - | | 0.3056 | 1910 | 0.0002 | - | | 0.3072 | 1920 | 0.0002 | - | | 0.3088 | 1930 | 0.0002 | - | | 0.3104 | 1940 | 0.0033 | - | | 0.312 | 1950 | 0.0085 | - | | 0.3136 | 1960 | 0.0004 | - | | 0.3152 | 1970 | 0.0005 | - | | 0.3168 | 1980 | 0.0002 | - | | 0.3184 | 1990 | 0.003 | - | | 0.32 | 2000 | 0.0007 | - | | 0.3216 | 2010 | 0.0009 | - | | 0.3232 | 2020 | 0.0003 | - | | 0.3248 | 2030 | 0.0012 | - | | 0.3264 | 2040 | 0.0086 | - | | 0.328 | 2050 | 0.001 | - | | 0.3296 | 2060 | 0.0009 | - | | 0.3312 | 2070 | 0.0029 | - | | 0.3328 | 2080 | 0.0033 | - | | 0.3344 | 2090 | 0.0005 | - | | 0.336 | 2100 | 0.0003 | - | | 0.3376 | 2110 | 0.0033 | - | | 0.3392 | 2120 | 0.0029 | - | | 0.3408 | 2130 | 0.0001 | - | | 0.3424 | 2140 | 0.0057 | - | | 0.344 | 2150 | 0.0001 | - | | 0.3456 | 2160 | 0.0002 | - | | 0.3472 | 2170 | 0.004 | - | | 0.3488 | 2180 | 0.002 | - | | 0.3504 | 2190 | 0.0073 | - | | 0.352 | 2200 | 0.0004 | - | | 0.3536 | 2210 | 0.0006 | - | | 0.3552 | 2220 | 0.0004 | - | | 0.3568 | 2230 | 0.0032 | - | | 0.3584 | 2240 | 0.007 | - | | 0.36 | 2250 | 0.0096 | - | | 0.3616 | 2260 | 0.0032 | - | | 0.3632 | 2270 | 0.0006 | - | | 0.3648 | 2280 | 0.0002 | - | | 0.3664 | 2290 | 0.0032 | - | | 0.368 | 2300 | 0.0002 | - | | 0.3696 | 2310 | 0.0025 | - | | 0.3712 | 2320 | 0.0002 | - | | 0.3728 | 2330 | 0.0053 | - | | 0.3744 | 2340 | 0.0017 | - | | 0.376 | 2350 | 0.0013 | - | | 0.3776 | 2360 | 0.0001 | - | | 0.3792 | 2370 | 0.0032 | - | | 0.3808 | 2380 | 0.0002 | - | | 0.3824 | 2390 | 0.0019 | - | | 0.384 | 2400 | 0.0015 | - | | 0.3856 | 2410 | 0.0009 | - | | 0.3872 | 2420 | 0.0006 | - | | 0.3888 | 2430 | 0.0032 | - | | 0.3904 | 2440 | 0.0033 | - | | 0.392 | 2450 | 0.0003 | - | | 0.3936 | 2460 | 0.0003 | - | | 0.3952 | 2470 | 0.0016 | - | | 0.3968 | 2480 | 0.0065 | - | | 0.3984 | 2490 | 0.0011 | - | | 0.4 | 2500 | 0.0032 | - | | 0.4016 | 2510 | 0.0045 | - | | 0.4032 | 2520 | 0.0001 | - | | 0.4048 | 2530 | 0.0004 | - | | 0.4064 | 2540 | 0.0001 | - | | 0.408 | 2550 | 0.0027 | - | | 0.4096 | 2560 | 0.0032 | - | | 0.4112 | 2570 | 0.0034 | - | | 0.4128 | 2580 | 0.0057 | - | | 0.4144 | 2590 | 0.0029 | - | | 0.416 | 2600 | 0.0008 | - | | 0.4176 | 2610 | 0.0002 | - | | 0.4192 | 2620 | 0.0033 | - | | 0.4208 | 2630 | 0.0004 | - | | 0.4224 | 2640 | 0.0057 | - | | 0.424 | 2650 | 0.0001 | - | | 0.4256 | 2660 | 0.0048 | - | | 0.4272 | 2670 | 0.0043 | - | | 0.4288 | 2680 | 0.0011 | - | | 0.4304 | 2690 | 0.0053 | - | | 0.432 | 2700 | 0.0001 | - | | 0.4336 | 2710 | 0.0045 | - | | 0.4352 | 2720 | 0.0032 | - | | 0.4368 | 2730 | 0.0034 | - | | 0.4384 | 2740 | 0.0031 | - | | 0.44 | 2750 | 0.0065 | - | | 0.4416 | 2760 | 0.0013 | - | | 0.4432 | 2770 | 0.0027 | - | | 0.4448 | 2780 | 0.0014 | - | | 0.4464 | 2790 | 0.0036 | - | | 0.448 | 2800 | 0.0009 | - | | 0.4496 | 2810 | 0.0053 | - | | 0.4512 | 2820 | 0.0001 | - | | 0.4528 | 2830 | 0.0005 | - | | 0.4544 | 2840 | 0.0006 | - | | 0.456 | 2850 | 0.0015 | - | | 0.4576 | 2860 | 0.0028 | - | | 0.4592 | 2870 | 0.0006 | - | | 0.4608 | 2880 | 0.0001 | - | | 0.4624 | 2890 | 0.0024 | - | | 0.464 | 2900 | 0.0012 | - | | 0.4656 | 2910 | 0.0003 | - | | 0.4672 | 2920 | 0.0028 | - | | 0.4688 | 2930 | 0.0022 | - | | 0.4704 | 2940 | 0.0002 | - | | 0.472 | 2950 | 0.0006 | - | | 0.4736 | 2960 | 0.0002 | - | | 0.4752 | 2970 | 0.0034 | - | | 0.4768 | 2980 | 0.0032 | - | | 0.4784 | 2990 | 0.0001 | - | | 0.48 | 3000 | 0.0001 | - | | 0.4816 | 3010 | 0.0003 | - | | 0.4832 | 3020 | 0.0001 | - | | 0.4848 | 3030 | 0.0011 | - | | 0.4864 | 3040 | 0.0001 | - | | 0.488 | 3050 | 0.0003 | - | | 0.4896 | 3060 | 0.0031 | - | | 0.4912 | 3070 | 0.0032 | - | | 0.4928 | 3080 | 0.0028 | - | | 0.4944 | 3090 | 0.0032 | - | | 0.496 | 3100 | 0.0002 | - | | 0.4976 | 3110 | 0.0001 | - | | 0.4992 | 3120 | 0.0008 | - | | 0.5008 | 3130 | 0.0028 | - | | 0.5024 | 3140 | 0.0001 | - | | 0.504 | 3150 | 0.0001 | - | | 0.5056 | 3160 | 0.0001 | - | | 0.5072 | 3170 | 0.0007 | - | | 0.5088 | 3180 | 0.0054 | - | | 0.5104 | 3190 | 0.0001 | - | | 0.512 | 3200 | 0.0001 | - | | 0.5136 | 3210 | 0.0001 | - | | 0.5152 | 3220 | 0.0001 | - | | 0.5168 | 3230 | 0.0027 | - | | 0.5184 | 3240 | 0.0001 | - | | 0.52 | 3250 | 0.0028 | - | | 0.5216 | 3260 | 0.0001 | - | | 0.5232 | 3270 | 0.0001 | - | | 0.5248 | 3280 | 0.0007 | - | | 0.5264 | 3290 | 0.0001 | - | | 0.528 | 3300 | 0.0001 | - | | 0.5296 | 3310 | 0.0001 | - | | 0.5312 | 3320 | 0.0001 | - | | 0.5328 | 3330 | 0.004 | - | | 0.5344 | 3340 | 0.0001 | - | | 0.536 | 3350 | 0.0049 | - | | 0.5376 | 3360 | 0.0034 | - | | 0.5392 | 3370 | 0.0004 | - | | 0.5408 | 3380 | 0.0001 | - | | 0.5424 | 3390 | 0.001 | - | | 0.544 | 3400 | 0.0023 | - | | 0.5456 | 3410 | 0.0019 | - | | 0.5472 | 3420 | 0.0001 | - | | 0.5488 | 3430 | 0.0027 | - | | 0.5504 | 3440 | 0.0002 | - | | 0.552 | 3450 | 0.0016 | - | | 0.5536 | 3460 | 0.0001 | - | | 0.5552 | 3470 | 0.0001 | - | | 0.5568 | 3480 | 0.0005 | - | | 0.5584 | 3490 | 0.0 | - | | 0.56 | 3500 | 0.0001 | - | | 0.5616 | 3510 | 0.0001 | - | | 0.5632 | 3520 | 0.0001 | - | | 0.5648 | 3530 | 0.0001 | - | | 0.5664 | 3540 | 0.003 | - | | 0.568 | 3550 | 0.0001 | - | | 0.5696 | 3560 | 0.0002 | - | | 0.5712 | 3570 | 0.0001 | - | | 0.5728 | 3580 | 0.0001 | - | | 0.5744 | 3590 | 0.0002 | - | | 0.576 | 3600 | 0.0 | - | | 0.5776 | 3610 | 0.0001 | - | | 0.5792 | 3620 | 0.0034 | - | | 0.5808 | 3630 | 0.0001 | - | | 0.5824 | 3640 | 0.0001 | - | | 0.584 | 3650 | 0.0001 | - | | 0.5856 | 3660 | 0.0001 | - | | 0.5872 | 3670 | 0.0003 | - | | 0.5888 | 3680 | 0.0031 | - | | 0.5904 | 3690 | 0.0001 | - | | 0.592 | 3700 | 0.0001 | - | | 0.5936 | 3710 | 0.003 | - | | 0.5952 | 3720 | 0.0002 | - | | 0.5968 | 3730 | 0.0031 | - | | 0.5984 | 3740 | 0.0001 | - | | 0.6 | 3750 | 0.0035 | - | | 0.6016 | 3760 | 0.0001 | - | | 0.6032 | 3770 | 0.003 | - | | 0.6048 | 3780 | 0.0033 | - | | 0.6064 | 3790 | 0.0026 | - | | 0.608 | 3800 | 0.0024 | - | | 0.6096 | 3810 | 0.0002 | - | | 0.6112 | 3820 | 0.0001 | - | | 0.6128 | 3830 | 0.0001 | - | | 0.6144 | 3840 | 0.0001 | - | | 0.616 | 3850 | 0.0001 | - | | 0.6176 | 3860 | 0.0022 | - | | 0.6192 | 3870 | 0.0001 | - | | 0.6208 | 3880 | 0.0004 | - | | 0.6224 | 3890 | 0.0066 | - | | 0.624 | 3900 | 0.0033 | - | | 0.6256 | 3910 | 0.0001 | - | | 0.6272 | 3920 | 0.0001 | - | | 0.6288 | 3930 | 0.0001 | - | | 0.6304 | 3940 | 0.0032 | - | | 0.632 | 3950 | 0.0003 | - | | 0.6336 | 3960 | 0.0031 | - | | 0.6352 | 3970 | 0.0001 | - | | 0.6368 | 3980 | 0.0001 | - | | 0.6384 | 3990 | 0.0001 | - | | 0.64 | 4000 | 0.0001 | - | | 0.6416 | 4010 | 0.0003 | - | | 0.6432 | 4020 | 0.0001 | - | | 0.6448 | 4030 | 0.0029 | - | | 0.6464 | 4040 | 0.0001 | - | | 0.648 | 4050 | 0.0001 | - | | 0.6496 | 4060 | 0.0029 | - | | 0.6512 | 4070 | 0.0001 | - | | 0.6528 | 4080 | 0.0001 | - | | 0.6544 | 4090 | 0.0001 | - | | 0.656 | 4100 | 0.0001 | - | | 0.6576 | 4110 | 0.0001 | - | | 0.6592 | 4120 | 0.0001 | - | | 0.6608 | 4130 | 0.0001 | - | | 0.6624 | 4140 | 0.0001 | - | | 0.664 | 4150 | 0.0001 | - | | 0.6656 | 4160 | 0.0023 | - | | 0.6672 | 4170 | 0.0002 | - | | 0.6688 | 4180 | 0.0002 | - | | 0.6704 | 4190 | 0.0014 | - | | 0.672 | 4200 | 0.0004 | - | | 0.6736 | 4210 | 0.0035 | - | | 0.6752 | 4220 | 0.0001 | - | | 0.6768 | 4230 | 0.0005 | - | | 0.6784 | 4240 | 0.0001 | - | | 0.68 | 4250 | 0.0029 | - | | 0.6816 | 4260 | 0.0001 | - | | 0.6832 | 4270 | 0.0001 | - | | 0.6848 | 4280 | 0.0001 | - | | 0.6864 | 4290 | 0.0001 | - | | 0.688 | 4300 | 0.0003 | - | | 0.6896 | 4310 | 0.0002 | - | | 0.6912 | 4320 | 0.0001 | - | | 0.6928 | 4330 | 0.0 | - | | 0.6944 | 4340 | 0.0 | - | | 0.696 | 4350 | 0.0 | - | | 0.6976 | 4360 | 0.0001 | - | | 0.6992 | 4370 | 0.0 | - | | 0.7008 | 4380 | 0.0 | - | | 0.7024 | 4390 | 0.0 | - | | 0.704 | 4400 | 0.0 | - | | 0.7056 | 4410 | 0.0 | - | | 0.7072 | 4420 | 0.0 | - | | 0.7088 | 4430 | 0.0 | - | | 0.7104 | 4440 | 0.0001 | - | | 0.712 | 4450 | 0.0001 | - | | 0.7136 | 4460 | 0.0 | - | | 0.7152 | 4470 | 0.0 | - | | 0.7168 | 4480 | 0.0001 | - | | 0.7184 | 4490 | 0.0 | - | | 0.72 | 4500 | 0.0 | - | | 0.7216 | 4510 | 0.0 | - | | 0.7232 | 4520 | 0.0 | - | | 0.7248 | 4530 | 0.0 | - | | 0.7264 | 4540 | 0.0001 | - | | 0.728 | 4550 | 0.0058 | - | | 0.7296 | 4560 | 0.0001 | - | | 0.7312 | 4570 | 0.0002 | - | | 0.7328 | 4580 | 0.0001 | - | | 0.7344 | 4590 | 0.0 | - | | 0.736 | 4600 | 0.0001 | - | | 0.7376 | 4610 | 0.0001 | - | | 0.7392 | 4620 | 0.0 | - | | 0.7408 | 4630 | 0.0002 | - | | 0.7424 | 4640 | 0.0 | - | | 0.744 | 4650 | 0.0 | - | | 0.7456 | 4660 | 0.0004 | - | | 0.7472 | 4670 | 0.0 | - | | 0.7488 | 4680 | 0.0001 | - | | 0.7504 | 4690 | 0.0 | - | | 0.752 | 4700 | 0.0 | - | | 0.7536 | 4710 | 0.0001 | - | | 0.7552 | 4720 | 0.0001 | - | | 0.7568 | 4730 | 0.0 | - | | 0.7584 | 4740 | 0.0037 | - | | 0.76 | 4750 | 0.0001 | - | | 0.7616 | 4760 | 0.0032 | - | | 0.7632 | 4770 | 0.0 | - | | 0.7648 | 4780 | 0.0 | - | | 0.7664 | 4790 | 0.0001 | - | | 0.768 | 4800 | 0.0031 | - | | 0.7696 | 4810 | 0.0001 | - | | 0.7712 | 4820 | 0.0002 | - | | 0.7728 | 4830 | 0.0 | - | | 0.7744 | 4840 | 0.0001 | - | | 0.776 | 4850 | 0.0001 | - | | 0.7776 | 4860 | 0.0002 | - | | 0.7792 | 4870 | 0.0 | - | | 0.7808 | 4880 | 0.0 | - | | 0.7824 | 4890 | 0.0001 | - | | 0.784 | 4900 | 0.0 | - | | 0.7856 | 4910 | 0.0 | - | | 0.7872 | 4920 | 0.0001 | - | | 0.7888 | 4930 | 0.0 | - | | 0.7904 | 4940 | 0.0 | - | | 0.792 | 4950 | 0.0001 | - | | 0.7936 | 4960 | 0.0 | - | | 0.7952 | 4970 | 0.0001 | - | | 0.7968 | 4980 | 0.0 | - | | 0.7984 | 4990 | 0.0029 | - | | 0.8 | 5000 | 0.0001 | - | | 0.8016 | 5010 | 0.0 | - | | 0.8032 | 5020 | 0.0001 | - | | 0.8048 | 5030 | 0.0005 | - | | 0.8064 | 5040 | 0.0 | - | | 0.808 | 5050 | 0.0 | - | | 0.8096 | 5060 | 0.0014 | - | | 0.8112 | 5070 | 0.0031 | - | | 0.8128 | 5080 | 0.0 | - | | 0.8144 | 5090 | 0.0001 | - | | 0.816 | 5100 | 0.0 | - | | 0.8176 | 5110 | 0.0001 | - | | 0.8192 | 5120 | 0.0001 | - | | 0.8208 | 5130 | 0.0 | - | | 0.8224 | 5140 | 0.0 | - | | 0.824 | 5150 | 0.0001 | - | | 0.8256 | 5160 | 0.0 | - | | 0.8272 | 5170 | 0.0 | - | | 0.8288 | 5180 | 0.0 | - | | 0.8304 | 5190 | 0.0006 | - | | 0.832 | 5200 | 0.006 | - | | 0.8336 | 5210 | 0.0032 | - | | 0.8352 | 5220 | 0.0001 | - | | 0.8368 | 5230 | 0.0 | - | | 0.8384 | 5240 | 0.0 | - | | 0.84 | 5250 | 0.0 | - | | 0.8416 | 5260 | 0.0031 | - | | 0.8432 | 5270 | 0.0001 | - | | 0.8448 | 5280 | 0.0017 | - | | 0.8464 | 5290 | 0.0009 | - | | 0.848 | 5300 | 0.0001 | - | | 0.8496 | 5310 | 0.0001 | - | | 0.8512 | 5320 | 0.0004 | - | | 0.8528 | 5330 | 0.0 | - | | 0.8544 | 5340 | 0.003 | - | | 0.856 | 5350 | 0.0002 | - | | 0.8576 | 5360 | 0.0001 | - | | 0.8592 | 5370 | 0.0001 | - | | 0.8608 | 5380 | 0.0 | - | | 0.8624 | 5390 | 0.0001 | - | | 0.864 | 5400 | 0.0001 | - | | 0.8656 | 5410 | 0.0 | - | | 0.8672 | 5420 | 0.0 | - | | 0.8688 | 5430 | 0.0001 | - | | 0.8704 | 5440 | 0.0 | - | | 0.872 | 5450 | 0.0 | - | | 0.8736 | 5460 | 0.0 | - | | 0.8752 | 5470 | 0.0001 | - | | 0.8768 | 5480 | 0.0 | - | | 0.8784 | 5490 | 0.0 | - | | 0.88 | 5500 | 0.0 | - | | 0.8816 | 5510 | 0.0001 | - | | 0.8832 | 5520 | 0.0 | - | | 0.8848 | 5530 | 0.0 | - | | 0.8864 | 5540 | 0.0 | - | | 0.888 | 5550 | 0.0031 | - | | 0.8896 | 5560 | 0.0 | - | | 0.8912 | 5570 | 0.0001 | - | | 0.8928 | 5580 | 0.0 | - | | 0.8944 | 5590 | 0.0 | - | | 0.896 | 5600 | 0.0 | - | | 0.8976 | 5610 | 0.0001 | - | | 0.8992 | 5620 | 0.0 | - | | 0.9008 | 5630 | 0.0002 | - | | 0.9024 | 5640 | 0.0031 | - | | 0.904 | 5650 | 0.0 | - | | 0.9056 | 5660 | 0.0 | - | | 0.9072 | 5670 | 0.0 | - | | 0.9088 | 5680 | 0.0001 | - | | 0.9104 | 5690 | 0.0 | - | | 0.912 | 5700 | 0.0 | - | | 0.9136 | 5710 | 0.0 | - | | 0.9152 | 5720 | 0.0032 | - | | 0.9168 | 5730 | 0.0001 | - | | 0.9184 | 5740 | 0.0024 | - | | 0.92 | 5750 | 0.0 | - | | 0.9216 | 5760 | 0.0 | - | | 0.9232 | 5770 | 0.0017 | - | | 0.9248 | 5780 | 0.0 | - | | 0.9264 | 5790 | 0.0001 | - | | 0.928 | 5800 | 0.0001 | - | | 0.9296 | 5810 | 0.0 | - | | 0.9312 | 5820 | 0.0 | - | | 0.9328 | 5830 | 0.0 | - | | 0.9344 | 5840 | 0.0 | - | | 0.936 | 5850 | 0.0 | - | | 0.9376 | 5860 | 0.0031 | - | | 0.9392 | 5870 | 0.0 | - | | 0.9408 | 5880 | 0.0 | - | | 0.9424 | 5890 | 0.0 | - | | 0.944 | 5900 | 0.0031 | - | | 0.9456 | 5910 | 0.0 | - | | 0.9472 | 5920 | 0.0 | - | | 0.9488 | 5930 | 0.0 | - | | 0.9504 | 5940 | 0.0 | - | | 0.952 | 5950 | 0.0 | - | | 0.9536 | 5960 | 0.0001 | - | | 0.9552 | 5970 | 0.0 | - | | 0.9568 | 5980 | 0.0 | - | | 0.9584 | 5990 | 0.0031 | - | | 0.96 | 6000 | 0.0001 | - | | 0.9616 | 6010 | 0.0 | - | | 0.9632 | 6020 | 0.0 | - | | 0.9648 | 6030 | 0.0 | - | | 0.9664 | 6040 | 0.0 | - | | 0.968 | 6050 | 0.0 | - | | 0.9696 | 6060 | 0.0 | - | | 0.9712 | 6070 | 0.0 | - | | 0.9728 | 6080 | 0.0027 | - | | 0.9744 | 6090 | 0.0 | - | | 0.976 | 6100 | 0.0031 | - | | 0.9776 | 6110 | 0.003 | - | | 0.9792 | 6120 | 0.0 | - | | 0.9808 | 6130 | 0.0 | - | | 0.9824 | 6140 | 0.0 | - | | 0.984 | 6150 | 0.0 | - | | 0.9856 | 6160 | 0.0 | - | | 0.9872 | 6170 | 0.0 | - | | 0.9888 | 6180 | 0.0028 | - | | 0.9904 | 6190 | 0.0 | - | | 0.992 | 6200 | 0.0 | - | | 0.9936 | 6210 | 0.0 | - | | 0.9952 | 6220 | 0.0 | - | | 0.9968 | 6230 | 0.0 | - | | 0.9984 | 6240 | 0.0 | - | | 1.0 | 6250 | 0.0 | 0.0479 | ### Framework Versions - Python: 3.10.12 - SetFit: 1.1.0 - Sentence Transformers: 3.2.0 - Transformers: 4.44.2 - PyTorch: 2.4.1+cu121 - Datasets: 3.0.1 - Tokenizers: 0.19.1 ## 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} } ```