--- library_name: setfit tags: - setfit - sentence-transformers - text-classification - generated_from_setfit_trainer metrics: - accuracy widget: - text: "ci lll ll Me\n\nsy sa\n\n< : Chet > 24.09 2? Lib Gs)\nCTS 25M AS ow\n\n \ \ \n\npind\neo, YERIPHERLAL— —Sigh\\\nATE. OUST EER ING re: vw\na cerpuer\ \ a Wa,\n76.09.19 02 ym f tauren aoe ae ay Mi hid i c o) + :\nf 24-09 «19 O° wo.\ \ “do -— mae oD wie - Ae 2 AC\n” . a pie 1ay 4 qT\nie Oi. SOEs = = ple ak nyse\ \ a\n29-09: 190 2W - ~ as 20 -¥. 44 oF ww +r An as\nreearccene to 4. we Xs OL\ \ Ke get oe\nHOt XK. 49 e cal de my.440 ini ed\no2xX 19.0 2mm “Ar a. gx. 440 De\ \ fe le ot\nsy eam Pot A le eggoem po\n0A. X. 2 Ale. Sa Wid ’ elt\no4 ‘4 0 2mm\ \ — 4: joe OR AA WE ay ea si\nif c es\n\nHae.. 44 OL Wun.\n( for.y. 14 0 2am.\ \ t\n\n—4\nAe —4\na a QC\nope HOt wep A !\noq ke $4 0 2 Wh to —4e\n40x. 44 © Lm\ \ qt ~—Ae Ye\n\n15 xX a 0 7, WH “-\n\nLhe\n|\n&\n\n4 1 A\n\n6 &\n\n \n\n\\ \\\ \ yy\nSA Lho®\ni\na=\nGe\n\n‘Q\n“,\n\n|\n\n \n\f" - text: "SHRI SAI BRICKS & BLOCKS\n\nMONTH OF SEPTEMBER - 2019\n| out | ] | NET\n\ DATE VEHICLE SLNO TIME PLANT AppRESS | WT\n[22-09-2019 | 0b 17F 4129 | 09-19-659591\ \ | 12.31 | SHREESAI BRICKS | BARGARH | 15.18\n27-09-2019 | 0D 17F 4229 | 09-19-660295\ \ | 5.16 | SHREESAIBRICKS | BARGARH | 14.56.\n\n \n\n \n\n+\n|\n\n \n\n \n\n \n\ \n \n\n \n\nTOTAL 29.74 |\nMONTH OF OCTOBER - 2019\n] TIME NET\nDATE VEHICLE NO\ \ SL.NO. LL OUT BRICKS PLANT ADDRESS | WT _\n\n \n\nb\na\nAn\n=}\n\n10-05-2019\ \ | OD17F4229 | 10-19-661801 | 19:50 | SHREESAIBRK &BL_| BARGARH |\n10-06-2019\ \ | OD17F4129 | 10-19-661842 | 07:20 | SHREESAIBRK&BL | BARGARH | 15.14 |\n14/10/2019\ \ | 0D17F4129 | 10-19-663006 | 00:26 _| SHREESAIBRK&BL_| BARGARH | 15.75\n| 14/10/2019\ \ | 0017F4229 | 10-19-663007 | 00:37 | SHREESAIBRK&BL | BARGARH | 17.16 _\n16/10/2019\ \ | 0017F4129 | 10-19-663413 | 04:14 _| SHREESAIBRK&BL_| BARGARH | 18.44\n\"16/10/2019\ \ | 001764229 | 10-19-663414 | 04:33 | SHREESAIBRK&BL | BARGARH | 15.99\n31/10/2019\ \ | OD17F4129 | 10-19-665660 | 00:31_| SHREESAIBRK&BL | BARGARH | 15.7\n\n \n\n\ \ \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\ \n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n(TOTAL 104.36\nMONTH OF NOVEMBER - 2019\n\ | - | TIME | NET\nDATE VEHICLE NO SL.NO. out | BRICKSPLANT | ADDRESS | WT\n[01-11-2019\ \ | 0b17F 4129 | 11-19-665836 | 4.53 SHREE SAI BARGARH | 13.37 |\n15-11-2019 |\ \ 0D17F.4129 | 11-19-668335 | 0.51_| _ SHREESAl BARGARH | 14.70\n15-11-2019 |\ \ 0D17F 4229 | 11-19-668505 | 20.43 SHREE SAI BARGARH | 13.91,\n[47-11-2019 |\ \ 017 F 4229 | 11-19-668742 | 2.43 SHREE SAI BARGARH | 15.45\n[18-11-2019 | 0D17F\ \ 4229 | 11-19-668888 | 3.21 SHREESAl | BARGARH | 15.83\n[9311-2019 | 0D17F 4229\ \ | 11-19-669818 | 2.41 SHREESAl | BARGARH | 12.95\n[23-11-2019 | 0p17F 4229 |\ \ 11-19-670013 | 23.45| _SHREESAl__|_BARGARH | 14.76\n27-11-2019 | 0D17F 4229\ \ | 11-19-670566 | 3.25 SHREESAI | BARGARH | 15.63 |\n27-11-2009 | 0D 17F 4229\ \ | 11-19-670698 | 16.35 SHREE SAI _BARGARH | 14.80 |\n27-11-2019 | 0b17F 4129\ \ | 11-19-670702 | 16.47 SHREESAI | BARGARH | 14.25\n\n \n\n \n\n \n\n \n\n \n\ \nTOTAL _ 145.65)\n\nShree Bricks and Blocks, Bargara\n\ncde J\nCrollowt Past.\n\ FE ‘or\n\nP\n\nAe\n\n \n\f" - text: "(ORIGINAL FOR RECIPIENT)\n\nPRADHAN ASSOCIATES PVT. LTD.\n\n(Engineering\ \ Contractors & Industrial Facilities Managers)\n\nPlot No. 126/2262, Khandagiri\ \ Vihar, Khandagiri , Bhubaneswar - 751030, Odisha, India.\nPhone: 91-674-2384575,\ \ 2384743 Fax: 91-674-2384604 E-mail: email@papl.tech website: www.papl.tech\n\ DETAILS OF RECEIPIENT (BILLED TO): TAX INVOICE\n(ISSUED UNDER RULE 46 OF CGST/\ \ SGST RULES, 2017)\n\n \n \n \n \n\n \n \n \n \n \n \n\nHINDALCO\ \ INDUSTRIES LIMITED\nPOWER PLANT, HIRAKUD-768016\nDIST- SAMBALPUR, ODISHA.\n\n\ \ \n\n \n\n \n\nINVOICE NO: PAPL/22/03/087\n\n \n \n \n\n \n\n \n\ \ \n \n\n21\n21AAACH1201R12Z\nAAACH1201R\n\nINVOICE DATE: 21-03-2022\n\n \ \ \n\n \n\n13602110726\n\n \n\nDETAILS OF CONSIGNEE (SHIPPED TO):\n\n \n\ \ \n\n \n \n \n \n\nHINDALCO INDUSTRIES LIMITED\nPOWER PLANT, HIRAKUD-768016\n\ DIST- SAMBALPUR, ODISHA.\n\n \n \n\n \n\nDATE OF ISSUE : 21-03-2022\n\n \n\ \ \n\n \n \n \n\nPERIOD OF SERVICE: 01/12 - 31/12\n\nHSN/SAC ary TAXABLE\ \ VALUE\nCODE , (Rs.)\n\n998717 1.923 22719.00 43,688.64\n\n=f t\n\na oa\n\nPETER\ \ THE TAX IS PAYABLE ON REVERSE CHARGE BASIS:- NO\nAdd: CGST 9% 3,931.98\nAdd:\ \ SGST 9% 3,931.98\nAdd: IGST 0\n\nINVOICE TOTAL | dT 51,552.60\nTotal Invoice\ \ value (In Figures) INR 51,552.60\nTotal Invoice value (In words) RUPEES FIFTY\ \ ONE THOUSAND FIVE HUNDRED FIFTY TWO & PAISA SIXTY ONLY.\nCERTIFIED THAT THE\ \ PARTICULARS GIVEN ABOVE ARE TRUE AND CORRECT AND THE AMOUNT INDICATED REPRESENTS\ \ THE PRICE ACTUALLY CHARGED BY\nUS AND THERE IS NO FLOW OR ADDITIONAL CONDITION\ \ DIRECTLY OR INDIRECTLY FROM THE BUYER.\n\nOur GSTIN : 21AACCP4546K1ZH STATE\ \ CODE: 21 For PRADHAN ASSOCIATES PVT. LTD.\n\n \n \n\n \n \n \n\nSERVICE\ \ DESCRIPTION\n\nHIGH SKILLED ITI TECHNICIAN\n\n \n \n \n\n \n\n(FOR THE\ \ PERIOD 01/12/2021 TO 31/12/2021)\n\n \n\nner ww\n\n \n \n \n \n\n \n\ \n \n\n \n\n \n\n \n\n \n \n \n\n \n\n \n \n \n\n \n \n \n \n\n \ \ \n \n \n \n\n \n \n\nOur PAN : AACCP4546K\n\n \n \n\nFor Pradhan Associates\ \ Pvt, itd,\nOur CIN : U742100R1991PTC002871 WH ge\nCategory: Maint. & repair\ \ service of commercial & industrial machinery. Director\n\n \n \n\n \n\n \ \ \n\n(E&0.E.) Authorized Signato\n\n \n\f" - text: "o\n\n \n\n \n\no\n\nGSTIN: 21AAACH1201R1ZZ\n\n| HINDALCO INDUSTRIES LIMITED\ \ State Code: 21 - Odisha\nBF HIRAKUD POWER, HIRAKUD-768 016,DIST. SAMBALPUR (ODISHA)\ \ aw\n\n© PHONE: 0663.2481965, FAX 0663-2481342 GST Commissionerate -Cuttack\n\ \n \n\n \n\n \n\nPURCHASE ORDER\nVendor Code: U138 P.CINo P/POISRV/2122/0781\ \ Date: 31-0&0-2021\nM/s UTKAL CONSTRUCTION Revise No Date:\n\nOrder Type’ PURCHASE\ \ ORDER\n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\n \n\nAT-MALIPADA Effective\ \ From 01/01/2022 To 31/12/2022\nPOSIBAKUD: Price Basis\nSAMBALPUR, ORISSA, IN\ \ 768 016 Transportation arrangement\nShip to Location HIRAKUD - POWER\nEmail:\ \ antanyanipanda77@gmail.com Camier\nFax: () Curency INR\nContact: ANTARYAMI PANDA\ \ (+91) 9661236394 Hindalco Contact Person: SIDOHARTH KUNDA,\nGSTIN:21ANPPP5426H12U\ \ _State:21 - Odisha Email of Contact Person: sidharth kunda@adityabira.com\n\ Ret MANPOWER LTS - - aa\nOrder Unit of Rate/trit Valve\nS1_ Stock No. & Description\ \ Quanity Measurement i) Rs)\n1 Yortt16010028 HSNISA 365.000 MDY 8827.48 ° — 3222030.20\n\ PROVIDE: HOUSEKEEPING; TASK TYPE: CLEANING, SCOPE: CLEANING OF i\nUNIT 4 BOILER\ \ ANO ESP 9, 10 AND 11 AND ITS PERIPHERIALS, ROADS AND CONT Tees ee\nDRAIN UNIT\ \ 4 8AT SWITCH YARD, UNIT 4 ESP CONTROL ROOM AND CAC SGST Tax@o% 289982.72\nCOMPRESSOR,\ \ TOOLS PROVIDED BY. HIL, MATERIAL PROVIDE BY: HIL —— Se\neeise ‘Gusnty Item Tota\ \ ——-3801995.64\n365.000 Need By: 31-Dec-2022\n‘Supplier item: 9 LTS 1 NLTS\n\ Payment Terms: 15 Days Credit GRAND TOTAL: 3801995.64\n\n \n\nBilling Address:\ \ Hindalco Industries Ltd, Hirakud Power, Hirakud - 768016, Sambalpur (ODISHA)\n\ (Hard copy of bills to be forwarded at shipping address)\nShipping address ; Hindalco\ \ Industries Ltd, Hirakud Power, Hirakud - 7680 18, Sambalpur (ODISHA)\n\nNotes\n\ \n1. THE ABOVE PRICE IS BASED ON ATTACHED LTS CALCULATION. —————\n\n2. AS PER\ \ LTS, WAGES WILL BE PAID FOR NATIONAL HOLIDAYS & FESTIVAL HOLIDAYS, HOWEVER INCASE\ \ A LABOUR IS REQUIRED TO PERFORM\nHIS JOB ON A HOLIDAY MENTIONED ABOVE, AS PER\ \ LAW THE CALCULATION FOR THAT DAY WILL BE APPLICABLE OVER AND ABOVE THE WAGES:\n\ HE IS BEING PAID (BASIC DA)X 2 + OTHER ALLOWANCE-1, CONTRACTOR PROFIT WILL BE\ \ @9.5% FOR LTS /8.5% FOR NUTS AS APPLICABLE AND\nFIX\n\n3, SHIFT ALLOWANCE WILL\ \ BE PAID EXTRA AS PER LTS\n\n4. PRO-RATA DEDUCTION WILL BE MADE FOR ABSENTISM\ \ AND DETERIORATION IN QUALITY OF SERVICE AS DECIDED BY THE AUTHORITY\n\n5. PAYMENT\ \ ON MONTHLY BASIS WILL BE RELEASED WITHIN 15 DAYS OF SUBMISSION OF INVOICE\n\n\ 6. 10% OF TOTAL BILL VALUE WILL BE RETAINED BY THE COMPANY EVERY MONTH 4NO WILL\ \ BE RELEASED ANNUALLY ONLY AFTER PAYING.\nBONUS & OTHER DUES TO THE LABOURERS\ \ ENGAGED BY YOU.\n\n7.1T IS MANDATORY TO PUT GST NUMBER IN THE INVOICE.\n\n8,\ \ MANPOWER SHOULD BE DEPLOYED AS PER REQUIREMENT OF THE MANAGEMENT.\n\n9. LABOUR\ \ CESS 1% WILL BE PAID EXTRA, IF APPLICABLE\n\nOTHER TERMS:-\n1, JOB SHALL BE\ \ EXECUTED AS PER THE SCHEDULE ISSUED BY THE DEPARTMENT (TO 8E COLLECTED IN ADVANCE).\n\ 2, YOU / CONTRACTOR'S SUPERVISOR SHALL MEET THE DEPARTMENTAL SUPERVISOR AT REGULAR\ \ INTERVAL DECIDED 8Y THE DEPARTMENT TO\nCONFIRM CHANGE IN SCHEDULE, IF ANY\n\ 3. YOU SHALL SUBMIT THE DAILY REPORT AFTER COMPLETION OF JOB IN THE PRESCRIBED\ \ FORMAT AS DIRECTED BY THE DEPARTMENT,\n4, NO EXTRA CLAIM TO BE MADE FOR CHANGE\ \ IN SCHEDULE FOR SIMILAR TYPE OF JO8,\n\nREFUSAL OF ANY JOB SIMILAR TO THE JOB\ \ ENLISTED IN THE ORDER OR FAILURE TO EXECUTE THE JOB AS PER SCHEDULE WILL BE\ \ LIABLE FOR\nPENALTY, PENALTY AMOUNT WILL BE DECIDED BY THE CONCERN DEPARTMENT.\n\ 6, YOU SHALL SUBMIT THE PROOF FOR MATERIAL & CONSUMABLES USED ALONG WITH THE INVOICE.\n\ 7. SAFETY GEARS AS APPLICABLE WILL BE ISSUED TO YOU BY SAFETY DEPARTMENT. YOU\ \ SHALL DISTRIBUTE THE SAME TO YOUR WORKMEN.\nAND SHALL KEEP THE SUPPORTING DOCUMENT\ \ WHICH WILL BE VERIFIED BY HR FROM TIME TO TIME\n8 HOUSEKEEPING OF AREAS AS INSTRUCTED\ \ BY DEPARTMENT WILL BE IN YOUR SCOPE. IF PROPER CLEANING IS NOT DONE THEN AMOUNT.\n\ RELATED TO THAT JOB WILL BE DEDUCTED FOR THAT PARTICULAR OCCASION\n\n \n\nHINDALCO\ \ INOUSTRIES LIMITED secede\nAhura Centre, 1st Ficor, 8 Wing, Mahakall Caves Rload\ \ Ancher(East), Mumbai 400083, India, rage 10\n\nTel No: 91 22 6691 7000, Email:\ \ hindatco@adityabirla com, Website: www adityabiria c\nCorporate identity No:\ \ L27020MH1958PLC011238\n\n \n\n \n\f" - text: "HINDALCO INDUSTRIES LIMITED\n\nHIRAKUD POWER, HIRAKUD-768 016,01STSAMBALPUR\ \ (ODISHA)\n\nGSTIN: 21AAACH1201R1ZZ\nState Code: 21 - Odisha\nGST Rangeldivision\n\ \n \n\nPHONE 0663-2481365, FAX: 0663-2481342\n\nSambalpur\nGST Commissionerate\ \ -Cuttack\n\nPURCHASE ORDER\n\nVendor Code D152\nM/s DUDHALA ROAD LINES\n\nNEW\ \ MARKET\nHIRAKUD\n\nSAMBALPUR, ORISSA. INDIA 768 016\n\nEmail: dudhalaroadiines@gmail\ \ com\nFax. ()9861153984\nContact: HIRU () 9861153984\n\nGSTIN: 21AHWPS4288D3ZV—State:21\ \ - Odisha\n\nP.O/No: P/PO/SRVI2122/0062 Date: 29-APR-2021\nRevise No: Date:\n\ Order Type: PURCHASE ORDER\nEffective From 01/04/2021 To 31/03/2022\nPrice Basis\n\ Transporation arrangement\nShip to Location\nCartier\nCurrency INR\nHindalco Contact\ \ Person GOPINATH NAIK,\n\nEmail of Contact Person: gopinath.naik@adityabiria.com\n\ \nHIRAKUD - POWER\n\nRef SERVICE CHARGE AGAINST SUPPLY OF TRACTORS\n\nOrder Unit\ \ of Rate/Unit Value\nSI, Stock No. & Description Quantity Measurement (Rs.) (Rs.)\n\ 1 $c073318 HSN/SAC: 100.000 DAY 1300.00 130000.00\nSERVICE CHARGE AGAINST SUPPLY\ \ OF TRACTORS COST Tax@0% 4170.00\n\nCC Code Quantity a\nrere Nese Bj a HaRARIREe\ \ SGST Tax@9% 11700.00\ntem Total: 153400.00\nPayment Terms: 15 Days Credit GRAND\ \ TOTAL: 153400.00\n\nan\n\nwilling Address: Hindalco Industries Ltd, Hirakud\ \ Power, Hirakud - 768016, Sambaipur (ODISHA)\n(Hard copy of bills to be forwarded\ \ at shipping address)\n\nShipping address : Hindalco Industries Ltd, Hirakud\ \ Power, Hirakud - 768016, Sambalpur (ODISHA)\n\nNotes\nREFER YOUR OFFER MAIL\ \ DT. 15-02-21\n\n1. JOB SHOULD BE CARRIED OUT AS PER INSTRUCTION OF ENGINEER\ \ INCHARGE.\n\n2. DIESEL AND DRIVER CHARGES WILL BE IN VENDOR'S SCOPE\n\n3. ENGAGEMENT\ \ OF TRACTOR WILL BE CALCULATED AS PER ACTUAL HOUR BASIS AND ENGAGEMENT OF TRACTOR\ \ WILL BE CALCULATED PER\nDAY BASIS (MAX TO 8 HRS PER DAY)\n\n4. THE REQUIRED\ \ VECHILE ( TRACTOR) SHALL HAVE PROPER REGISTRATION & INSURANCE AS PER THE STATE\ \ GOVERNMENT RULE AND THE\nDRIVERS SHOULD HAVE A VALID DRIVING LICENSE.\n\n5.\ \ ONE COPY OF VALID REGISTRATION & INSURANCE, FITTNESS OF THE VEHICLE MUST BE\ \ SUBMITTED TO HINDALCO BEFORE ENGAGEMENT OF\nTHE VEHICLE DRIVER HAVE TO CARRY\ \ ORIGINAL / COPIES OF ALL RELEATED DOCUMENTS WITH HIM WHILE ON DUTY.\n\n6. PLEASE\ \ REFER ANNEXURE-II. Ill A, S FOR DETAIL TERMS AND CONDITIONS.\n\n\"You will be\ \ raising valid Tax invoice as per GST Laws for the supply covered by the instant\n\ PO and comply with all the GST rules and regulations as notified and/or to be\ \ notified in future\nincluding filing of return . payment of taxes ete. Failure\ \ to comply with any of the provisions of\nGST Laws will tead to cancellation\ \ of this order and / or subject to any other action as\nmanagement wil deem fit\ \ *\n\n \n\nCHANORA MAKTHALA\n\nPlant Materials Head\nHindalco Industries Limited\n\ Hirakud\nRegd. Office:\nHINDALCO INDUSTRIES LIMITED P;\nAhura Centre, 1st Floor,\ \ B Wing, Mahakali Caves Road Andheri(Eas!), Mumbai 400093, India ‘age 1 of 12\n\ \nTel No: 91 22 6691 7000, Email: hindalco@adityabirla.com, Website: www.adityabirla.com\n\ Corporate Identity No: L27020MH1958PLC011238\n\f" 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: 1.0 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:** 3 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) ### Model Labels | Label | Examples | |:------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------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| 2 | | | 1 | | | 0 | | ## Evaluation ### Metrics | Label | Accuracy | |:--------|:---------| | **all** | 1.0 | ## 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("Gopal2002/SERVICE_ZEON") # Run inference preds = model("ci lll ll Me sy sa < : Chet > 24.09 2? Lib Gs) CTS 25M AS ow pind eo, YERIPHERLAL— —Sigh\ ATE. OUST EER ING re: vw a cerpuer a Wa, 76.09.19 02 ym f tauren aoe ae ay Mi hid i c o) + : f 24-09 «19 O° wo. “do -— mae oD wie - Ae 2 AC ” . a pie 1ay 4 qT ie Oi. SOEs = = ple ak nyse a 29-09: 190 2W - ~ as 20 -¥. 44 oF ww +r An as reearccene to 4. we Xs OL Ke get oe HOt XK. 49 e cal de my.440 ini ed o2xX 19.0 2mm “Ar a. gx. 440 De fe le ot sy eam Pot A le eggoem po 0A. X. 2 Ale. Sa Wid ’ elt o4 ‘4 0 2mm — 4: joe OR AA WE ay ea si if c es Hae.. 44 OL Wun. ( for.y. 14 0 2am. t —4 Ae —4 a a QC ope HOt wep A ! oq ke $4 0 2 Wh to —4e 40x. 44 © Lm qt ~—Ae Ye 15 xX a 0 7, WH “- Lhe | & 4 1 A 6 & \ \ yy SA Lho® i a= Ge ‘Q “, | ") ``` ## Training Details ### Training Set Metrics | Training set | Min | Median | Max | |:-------------|:----|:---------|:----| | Word count | 2 | 284.6628 | 699 | | Label | Training Sample Count | |:------|:----------------------| | 0 | 30 | | 1 | 24 | | 2 | 32 | ### Training Hyperparameters - batch_size: (32, 32) - num_epochs: (2, 2) - max_steps: -1 - sampling_strategy: oversampling - 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 | |:------:|:----:|:-------------:|:---------------:| | 0.0065 | 1 | 0.2818 | - | | 0.3268 | 50 | 0.0374 | - | | 0.6536 | 100 | 0.0053 | - | | 0.9804 | 150 | 0.003 | - | | 1.3072 | 200 | 0.0028 | - | | 1.6340 | 250 | 0.0029 | - | | 1.9608 | 300 | 0.0032 | - | ### Framework Versions - Python: 3.10.12 - SetFit: 1.0.3 - Sentence Transformers: 2.2.2 - Transformers: 4.35.2 - PyTorch: 2.1.0+cu121 - Datasets: 2.16.1 - Tokenizers: 0.15.0 ## 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} } ```