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setfit_zeon_3456

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results
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setfit_zeon_3456 / README.md
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metadata
library_name: setfit
tags:
  - setfit
  - sentence-transformers
  - text-classification
  - generated_from_setfit_trainer
metrics:
  - accuracy
widget:
  - text: >-
      <s_cord-v2><s_menu><s_nm> HNDALCO INDUSTRIES LIMITED</s_nm><s_unitprice>
      HIRAKUD</s_nm><s_unitprice> Rs.2.000,00</s_unitprice><s_cnt>
      3</s_cnt><s_price> Rp.200,00</s_price><sep/><s_nm> Rupes Two Lekh
      only</s_nm><s_unitprice> of Payment</s_nm><s_unitprice> Amount
      (R)</s_nm><s_unitprice> Amount (R)</s_nm><s_unitprice> Amount
      (R)</s_unitprice><s_cnt> 3</s_cnt><s_price> 20,000</s_price><sep/><s_nm>
      NRW PE leonas perHo Pey Otter No.652</s_nm><s_unitprice>
      DL20.1220</s_unitprice><s_cnt> 3</s_cnt><s_price>
      20,000</s_price><sep/><s_nm> PE No
      1912</s_nm></s_sub></s_menu><s_sub_total><s_subtotal_price> Rp.
      20,000</s_subtotal_price><s_discount_price> 0<sep/> SUSHI
      Hkad</s_nm><s_unitprice> Aud -Smi<s_etc> 0<sep/>
      MOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMOMO
  - text: <s_cord-v2><s_menu><s_nm> RT @kanaka</s_total>
  - text: >-
      <s_cord-v2><s_menu><s_nm> MATERIAL RECEIPT REPORT</s_nm><s_num>
      Jと思い<sep/><s_nm> challan Pote</s_nm><s_num>
      MRR/Roceipt</s_num><s_unitprice> S/MB/SPR/1516/0720</s_unitprice><s_cnt>
      3</s_cnt><s_discountprice> -3 JOL ZMS</s_nm><s_num>
      -3</s_num><s_discountprice> 24/SEP-14</s_discountprice><s_price>
      15/096</s_price><sep/><s_nm> JAL BALAI GALAJI OKYGAN LTO</s_nm><s_num> PO
      Cate:</s_nm><s_num> 24/SEP-14</s_num><s_price>
      24/SEP-14</s_price></s_menu><s_sub_total><s_subtotal_price>
      Valle</s_nm><s_num> S. Descriotion/</s_num><s_discountprice>
      (Rs.)</s_discountprice><s_price> Value</s_price><sep/><s_nm>
      WLMJANQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQUQU
  - text: >-
      <s_cord-v2><s_menu><s_nm> MATERIAL REGENT</s_nm><s_cnt>
      x</s_cnt><s_discountprice> 14,000</s_discountprice><s_price>
      14,000</s_price><sep/><s_nm> MARI/Requip Nc</s_nm><s_cnt>
      x</s_cnt><s_discountprice> 14,000</s_discountprice><s_price>
      14,000</s_price><sep/><s_nm> MARI/Requip CHOCOPICY MURRICapplaus &HACTA
      MURRICapplaus &HACTA Cosignment Nc</s_nm><s_discountprice>
      150,000</s_discountprice><s_price> Rp. 0</s_price><sep/><s_nm> PO Dlace
      23.Jun-16</s_nm><s_price> Rp. 0</s_price><sep/><s_nm> Pollow
      23.902</s_price><sep/><s_nm> Pollow Late</s_nm><s_cnt>
      x</s_cnt><s_discountprice> 1<sep/><s_nm> Vadomine & CENTRAL COALIFELDS
      LIMITED</s_nm><s_cnt> x</s_cnt><sep/><s_nm> WGWGWG
      SUNDA:</s_nm></s_sub><sep/><s_nm> Dlace 31-AUG-16</s_nm><s_price> Rate.
      20</s_price><sep/><s_nm> ItemCodei Destroy</s_nm><s_discountprice>
      -</s_discountprice><s_price> Value (Ks.)</s_price><sep/><s_nm> SLI.
      Destroycine Destroyce</s_nm><s_discountprice> MOMO</s_nm><s_unitprice>
      0.00</s_unitprice><s_cnt> x</s_cnt><s_discountprice>
      1396.00</s_discountprice><s_price> 55.00</s_price><sep/><s_nm> COAL FROM
      WHURRY</s_nm><s_unitprice> @020.00</s_unitprice><s_cnt>
      1</s_cnt><s_discountprice> 1376.00</s_discountprice><s_price>
      15706.00</s_price><sep/><s_nm> EAVACUTON FACTULITY</s_nm><s_unitprice>
      333.50</s_unitprice><s_cnt> 1.00</s_cnt><s_price>
      2319.00</s_price></s_menu><s_sub_total><s_subtotal_price>
      1397.00</s_subtotal_price><s_discount_price>
      1</s_discount_price><s_service_price>
      0</s_discount_price><s_service_price> 13.90</s_service_price><s_tax_price>
      7.00<sep/> 0<sep/> 137813.00</s_tax_price><s_etc> 336.00<sep/>
      336.002.018</s_etc></s_sub_total><s_total><s_total_price>
      9776</s_total_price><s_cashprice> -Philage )</s_cashprice></s_total>
  - text: >-
      <s_cord-v2><s_menu><s_nm> HINDALCO INDUSTRIES LIMITED</s_nm><s_unitprice>
      HIRAKUD WORKS</s_nm><sep/><s_nm> PAYMENT ORDER</s_nm><s_num> Pauto HOTOL
      SHEELA TOWERS</s_nm><s_num> SAWABALPUR</s_nm><s_num>
      VucherNQUA</s_nm><s_num> Nc. H369</s_nm><s_num> JANCE<sep/><s_nm> by
      Cash/Choque/D./Tangle summer of R&S.84同意 & HZQUAYE<sep/><s_nm> Rupes Eight
      thousand four hundred/Cory one only</s_nm><s_num> Rupes of
      Pavoment</s_nm><s_num> Dtalls of Pavoment</s_nm><s_num>
      Amount</s_nm><s_num> Sxpemie of fooding &lodging charges Cor Companywa
      quest</s_nm><s_num> Rs. P.</s_nm><s_num> Bll<s_num> Bll<s_num>
      B.4411</s_num><s_price>
      8,44</s_price></s_menu><s_sub_total><s_discount_price>
      8,44</s_discount_price><s_service_price> 8,44<sep/><s_nm> Bll<s_num>
      Bll<s_num> Bll<s_num> Bll<s_num> Bll<s_num> Bll<s_num> Bll<s_num>
      BW</s_num><s_price> 8,44</s_price><sep/><s_nm> Redi</s_nm><s_num>
      Bll</s_num><s_price> 8,44</s_price><sep/><s_nm> by</s_nm><s_num> AWhoGised
      by</s_nm><s_num> Allowed by</s_num><s_price> Aproved by</s_num><s_price>
      8,44</s_price><sep/><s_nm> DAd</s_nm><s_num> D&G</s_nm><s_num>
      D&G<sep/><s_nm> HEGAL</s_nm><s_num> BWBWG<sep/><s_nm> (E)B)
      BW)</s_nm><s_num> Allow Account Rc. P. (B)B)B)B)B)B)<sep/><s_nm> Sundang
      Chicken Gholds</s_nm><s_num> JER</s_nm><s_num> JER</s_nm><s_num> Stella
      Bake of India Sambbur</s_nm><s_num> JERGE TWGMBLIGO TWICE TWICE TWICE
      TWICE TWICE TWINCHECKETCHECKED by SG Squequequequequente</s_nm><s_num>
      Squente</s_nm><s_num> Squente</s_nm><s_num> Squente</s_nm><s_num>
      Squente</s_nm><s_num> Squente</s_nm><s_num> Squente</s_nm><s_num>
      Squente</s_nm><s_num> Squente</s_nm><s_num> Squente</s_nm><s_num>
      Squente</s_nm><s_num> Stella Stella</s_total>
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
            name: Accuracy

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

This is a SetFit model that can be used for Text Classification. This SetFit model uses BAAI/bge-small-en-v1.5 as the Sentence Transformer embedding model. A LogisticRegression 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 with contrastive learning.
  2. Training a classification head with features from the fine-tuned Sentence Transformer.

Model Details

Model Description

Model Sources

Model Labels

Label Examples
4
  • ' MATBRIOL BRECEIPT REPORT Y INvoice No 1 S/MR/SPR/2122/1803 Invoice Date 1 S/MR/Acecipit Date: 02-AUG-21 1 02-AUG-21 Consimment No 261 x5 1 S/P/SPR/2122/0389 Consimment Date: 16-JUL-21 1 PO N. S/P/SPR/2122/0389 POWERGAN (INDIA) 1 22-MAY-21 Value / 17582 175820.00'
  • ' MATERIAL RECEIPT REPORT @018-4636 3 S/MR/SPR/1516 Chaillam Nc @1-FEB-2016 2 06-FEB-16 Consiminent Nc @0-FRB216 2J S/PO/SPR/1516/1502 Consiminent Dece @0-KEB PO Nc S/PO/SPR/1516/1502 PO DATE: 27-JAN-16 Vendor NAME : KONARK ELEKTRONIX @quantity Value S. Descrigi n/ Received Rejuce Delivered Retur Rate/Unit (Rs.) 30000 1 VET @14.5% B341.50 SICHENG MAKE HEC FUSE. 100 @040 1 1209.52 Amp.S.TYPE -3NAP B300-YYE @14 1 1209.52 DELIVERY DATE @179.00 2 SUSPOEPICYE @17.00 1 1209.52 P BIST. QTY/CC @07.M @079 80.000 2 9551.02 SIEMONG MAKE BIMETAL THERMAL @0.000 2 VET @14.5% 3591.20 BELLARLAD JUSBO2-KE -S @14.5% 3 520.72 -FBB-16 @14.502 3 52.072 P07-EL @17.0 1 52.072 P07-EL @11.92 2 411.92 13662.94 411.92 13662.94 1972517'
  • ' MATERIAL RECKIPT BEPORT 1 00148/2122 1 S/MB/SPR/2122/1850 Invoice Date MRR/Aceipt Date: 04-AUG-21 AUG 2021 11 04-AUG-21 Consimment Nc Duce: PO N: S/PO/SPR/2122/0844 DATED PO DATE: 10-JUL-21 10-40 V.H. POLYMERS 1 1788 1 10-40 ITEM / SLI. -Quantity SLI. - Decoripi toxicallow/ Succi Delivered Retur Rate/Unit SKEET NONMETALIC TYPE SGPATCH BOX SATCH 0.00 1 ISI Taxe188 34138.00 JULILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILILI'
5
  • ' MCLIPLE Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie Cookie'
  • ' Original Box Buvez/ Duplicate Box Investice @MCL 3 93,000 suppliece MCL suppliece MADEMIZED CHOCO SPICK VICE. THOUS NICE.COMPANY SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICY CHOCO SPICYCE CHOCO SPICYCE CHOCO SPICYCE CHOCO SPICYCE CHOCO SPICYCE CHOCO SPICYCE CHOCO SUSPICYCOCOCOCOCOCOCO SUSPICYCOCOCOCOCOCOCO SUSPICYCOCOCOCOCOCO SUSPICYCOCOCOCOCO SUSPICYCOCOCOCOCO SUSPICYCOCOCOCO SUSPICYCOCOCOCO SUSPICYCOCOCOCO SUSPICYCOCOCO SUSPICYCOCOCO SUSPICYCOCOCO SUSPICYCOCOCO SUSPICYCOCOCO SUSPICYCOCOCO SUSPICY'
  • ' (COUR) 93103AH52 MCLIPPIC Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level Level'
3
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Evaluation

Metrics

Label Accuracy
all 1.0

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("Gopal2002/setfit_zeon_3456")
# Run inference
preds = model("<s_cord-v2><s_menu><s_nm> RT @kanaka</s_total>")

Training Details

Training Set Metrics

Training set Min Median Max
Word count 2 123.7582 762
Label Training Sample Count
3 16
4 24
5 22
6 29

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
0.0052 1 0.2983 -
0.2604 50 0.1069 -
0.5208 100 0.0221 -
0.7812 150 0.0063 -
1.0417 200 0.0039 -
1.3021 250 0.0029 -
1.5625 300 0.003 -
1.8229 350 0.0027 -

Framework Versions

  • Python: 3.10.12
  • SetFit: 1.0.2
  • Sentence Transformers: 2.2.2
  • Transformers: 4.35.2
  • PyTorch: 2.1.0+cu121
  • Datasets: 2.16.1
  • Tokenizers: 0.15.0

Citation

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}
}