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Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:147
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
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pujithapsx
LoRA fine-tune – full record entity matching
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metadata 
tags:
  - sentence-transformers
  - cross-encoder
  - reranker
  - generated_from_trainer
  - dataset_size:147
  - loss:BinaryCrossEntropyLoss
base_model: BAAI/bge-reranker-v2-m3
pipeline_tag: text-ranking
library_name: sentence-transformers
metrics:
  - accuracy
  - accuracy_threshold
  - f1
  - f1_threshold
  - precision
  - recall
  - average_precision
model-index:
  - name: CrossEncoder based on BAAI/bge-reranker-v2-m3
    results:
      - task:
          type: cross-encoder-classification
          name: Cross Encoder Classification
        dataset:
          name: entity matching
          type: entity-matching
        metrics:
          - type: accuracy
            value: 1
            name: Accuracy
          - type: accuracy_threshold
            value: 0.5193085670471191
            name: Accuracy Threshold
          - type: f1
            value: 1
            name: F1
          - type: f1_threshold
            value: 0.5193085670471191
            name: F1 Threshold
          - type: precision
            value: 1
            name: Precision
          - type: recall
            value: 1
            name: Recall
          - type: average_precision
            value: 1
            name: Average Precision

CrossEncoder based on BAAI/bge-reranker-v2-m3

This is a Cross Encoder model finetuned from BAAI/bge-reranker-v2-m3 using the sentence-transformers library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.

Model Details

Model Description

  • Model Type: Cross Encoder
  • Base model: BAAI/bge-reranker-v2-m3
  • Maximum Sequence Length: 512 tokens
  • Number of Output Labels: 1 label

Model Sources

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import CrossEncoder

# Download from the 🤗 Hub
model = CrossEncoder("pujithapsx/test")
# Get scores for pairs of texts
pairs = [
    ['Name: Sneha Reddy , First: Sneha , Middle:  , Last: Reddy , Gender: F , DOB: 1991-07-11 , Spouse:  , Mother:  , Father:  , Company: FINANCE CORP INDIA , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: HOUSE 687, BLOCK A kolkata , City: KOLKATA , State: WEST BENGAL , ZIP: 700001 , Address1: HOUSE 687, BLOCK A kolkata , City1: KOLKATA , State1: WEST BENGAL , ZIP1: 700001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9454123990 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: snehareddy@gmail.com , Email1:  , Email2:  , Email3:  , Email4: ', 'Name: Swati Gupta , First: Swati , Middle:  , Last: Gupta , Gender: F , DOB: 2000-09-02 , Spouse:  , Mother:  , Father:  , Company: RETAIL GIANT LTD , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: PLOT 91, NEAR TEMPLE lucknow , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: PLOT 91, NEAR TEMPLE lucknow , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9447112584 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: swatigupta@yahoo.com , Email1:  , Email2:  , Email3:  , Email4: '],
    ['Name: Pradeep Kumar , First: Pradeep , Middle:  , Last: Kumar , Gender: M , DOB: 1984-05-19 , Spouse:  , Mother:  , Father:  , Company: MICROSOFT INDIA , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: 169 KONDHWA NEAR SCHOOL , City: BANGALORE , State: KARNATAKA , ZIP: 560066 , Address1: 169 KONDHWA NEAR SCHOOL , City1: BANGALORE , State1: KARNATAKA , ZIP1: 560066 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 8574585188 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: pradeepkumar@workmail.com , Email1:  , Email2:  , Email3:  , Email4: ', 'Name: Kavya Sharma , First: Kavya , Middle:  , Last: Sharma , Gender: F , DOB: 2002-02-20 , Spouse:  , Mother:  , Father:  , Company: PAYTM , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: 477 LAJPAT NAGAR NEAR TEMPLE , City: MUMBAI , State: MAHARASHTRA , ZIP: 400017 , Address1: 477 LAJPAT NAGAR NEAR TEMPLE , City1: MUMBAI , State1: MAHARASHTRA , ZIP1: 400017 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 7168571579 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: kavyasharma@workmail.com , Email1:  , Email2:  , Email3:  , Email4: '],
    ['Name: Priya Prasad Reddy , First: Priya , Middle: Prasad , Last: Reddy , Gender: F , DOB: 1983-07-03 , Spouse:  , Mother:  , Father:  , Company: GLOBAL INFOTECH , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: FLAT 401, LAKE APT, 24 MAIN RD , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: FLAT 401, LAKE APT, 24 MAIN RD , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9149203558 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: priyareddy@gmail.com , Email1: priya.reddy@globalinfotech.com , Email2:  , Email3:  , Email4: ', 'Name: Priya  Reddy , First: Priya , Middle:  , Last: Reddy , Gender: F , DOB: 1983-07-03 , Spouse:  , Mother:  , Father:  , Company: GLOBAL INFOTECH PVT LTD , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: FLAT 401, LAKE APARTMENT, 24 MAIN ROAD , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: FLAT 401, LAKE APARTMENT, 24 MAIN ROAD , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9208449460 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: priyareddy@gmail.com , Email1: priya.reddy@globalinfotech.com , Email2:  , Email3:  , Email4: '],
    ['Name: Divya Patel , First: Divya , Middle:  , Last: Patel , Gender: F , DOB: 1985-02-01 , Spouse:  , Mother:  , Father:  , Company: INFOSYS TECHNOLOGIES , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: 316 SECTOR 12 NEAR PARK , City: HYDERABAD , State: TELANGANA , ZIP: 500048 , Address1: 316 SECTOR 12 NEAR PARK , City1: HYDERABAD , State1: TELANGANA , ZIP1: 500048 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 8883181644 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: divyapatel@outlook.com , Email1:  , Email2:  , Email3:  , Email4: ', 'Name: Nitin Rao , First: Nitin , Middle:  , Last: Rao , Gender: M , DOB: 1987-12-02 , Spouse:  , Mother:  , Father:  , Company: RELIANCE JIO , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: 612 BANJARA HILLS NEAR PARK , City: COIMBATORE , State: TAMIL NADU , ZIP: 641039 , Address1: 612 BANJARA HILLS NEAR PARK , City1: COIMBATORE , State1: TAMIL NADU , ZIP1: 641039 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9358550137 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: nitinrao@gmail.com , Email1:  , Email2:  , Email3:  , Email4: '],
    ['Name: Rahul  Iyer , First: Rahul , Middle:  , Last: Iyer , Gender: M , DOB: 1980-02-25 , Spouse:  , Mother:  , Father:  , Company: MANUFACTURING CO , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: FLAT 271, PARK APT, 32 MAIN RD , City: BANGALORE , State: KARNATAKA , ZIP: 560001 , Address1: FLAT 271, PARK APT, 32 MAIN RD , City1: BANGALORE , State1: KARNATAKA , ZIP1: 560001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9162959284 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: rahuliyer@gmail.com , Email1: rahul.iyer@manufacturingco.com , Email2:  , Email3:  , Email4: ', 'Name: Rahul  Iyer , First: Rahul , Middle:  , Last: Iyer , Gender: M , DOB: 1980-02-25 , Spouse:  , Mother:  , Father:  , Company: MANUFACTURING CO PVT LTD , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: FLAT 271, PARK APT, 32 MAIN RD , City: BANGALORE , State: KARNATAKA , ZIP: 560001 , Address1: FLAT 271, PARK APT, 32 MAIN RD , City1: BANGALORE , State1: KARNATAKA , ZIP1: 560001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9162959284 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: rahuliyer@gmail.com , Email1: rahul.iyer@manufacturingco.com , Email2:  , Email3:  , Email4: '],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)

# Or rank different texts based on similarity to a single text
ranks = model.rank(
    'Name: Sneha Reddy , First: Sneha , Middle:  , Last: Reddy , Gender: F , DOB: 1991-07-11 , Spouse:  , Mother:  , Father:  , Company: FINANCE CORP INDIA , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: HOUSE 687, BLOCK A kolkata , City: KOLKATA , State: WEST BENGAL , ZIP: 700001 , Address1: HOUSE 687, BLOCK A kolkata , City1: KOLKATA , State1: WEST BENGAL , ZIP1: 700001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9454123990 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: snehareddy@gmail.com , Email1:  , Email2:  , Email3:  , Email4: ',
    [
        'Name: Swati Gupta , First: Swati , Middle:  , Last: Gupta , Gender: F , DOB: 2000-09-02 , Spouse:  , Mother:  , Father:  , Company: RETAIL GIANT LTD , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: PLOT 91, NEAR TEMPLE lucknow , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: PLOT 91, NEAR TEMPLE lucknow , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9447112584 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: swatigupta@yahoo.com , Email1:  , Email2:  , Email3:  , Email4: ',
        'Name: Kavya Sharma , First: Kavya , Middle:  , Last: Sharma , Gender: F , DOB: 2002-02-20 , Spouse:  , Mother:  , Father:  , Company: PAYTM , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: 477 LAJPAT NAGAR NEAR TEMPLE , City: MUMBAI , State: MAHARASHTRA , ZIP: 400017 , Address1: 477 LAJPAT NAGAR NEAR TEMPLE , City1: MUMBAI , State1: MAHARASHTRA , ZIP1: 400017 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 7168571579 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: kavyasharma@workmail.com , Email1:  , Email2:  , Email3:  , Email4: ',
        'Name: Priya  Reddy , First: Priya , Middle:  , Last: Reddy , Gender: F , DOB: 1983-07-03 , Spouse:  , Mother:  , Father:  , Company: GLOBAL INFOTECH PVT LTD , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: FLAT 401, LAKE APARTMENT, 24 MAIN ROAD , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: FLAT 401, LAKE APARTMENT, 24 MAIN ROAD , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9208449460 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: priyareddy@gmail.com , Email1: priya.reddy@globalinfotech.com , Email2:  , Email3:  , Email4: ',
        'Name: Nitin Rao , First: Nitin , Middle:  , Last: Rao , Gender: M , DOB: 1987-12-02 , Spouse:  , Mother:  , Father:  , Company: RELIANCE JIO , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: 612 BANJARA HILLS NEAR PARK , City: COIMBATORE , State: TAMIL NADU , ZIP: 641039 , Address1: 612 BANJARA HILLS NEAR PARK , City1: COIMBATORE , State1: TAMIL NADU , ZIP1: 641039 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9358550137 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: nitinrao@gmail.com , Email1:  , Email2:  , Email3:  , Email4: ',
        'Name: Rahul  Iyer , First: Rahul , Middle:  , Last: Iyer , Gender: M , DOB: 1980-02-25 , Spouse:  , Mother:  , Father:  , Company: MANUFACTURING CO PVT LTD , ParentCompany:  , TaxID:  , LicenseID:  , PassportID:  , Address: FLAT 271, PARK APT, 32 MAIN RD , City: BANGALORE , State: KARNATAKA , ZIP: 560001 , Address1: FLAT 271, PARK APT, 32 MAIN RD , City1: BANGALORE , State1: KARNATAKA , ZIP1: 560001 , Address2:  , City2:  , State2:  , ZIP2:  , Address3:  , City3:  , State3:  , ZIP3:  , Address4:  , City4:  , State4:  , ZIP4:  , Phone: 9162959284 , Phone1:  , Phone2:  , Phone3:  , Phone4:  , Email: rahuliyer@gmail.com , Email1: rahul.iyer@manufacturingco.com , Email2:  , Email3:  , Email4: ',
    ]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]

Evaluation

Metrics

Cross Encoder Classification

Metric Value
accuracy 1.0
accuracy_threshold 0.5193
f1 1.0
f1_threshold 0.5193
precision 1.0
recall 1.0
average_precision 1.0

Training Details

Training Dataset

Unnamed Dataset

  • Size: 147 training samples
  • Columns: sentence1, sentence2, and label
  • Approximate statistics based on the first 147 samples:
    sentence1 sentence2 label
    type string string int
    details
    • min: 620 characters
    • mean: 659.54 characters
    • max: 715 characters
    • min: 627 characters
    • mean: 662.53 characters
    • max: 731 characters
    • 0: ~53.74%
    • 1: ~46.26%
  • Samples:
    sentence1 sentence2 label
    Name: Riya Singh , First: Riya , Middle: , Last: Singh , Gender: F , DOB: 1992-01-11 , Spouse: , Mother: , Father: , Company: EDU SERVICES , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: HOUSE 821, GALI NO 5 chennai , City: CHENNAI , State: TAMIL NADU , ZIP: 600001 , Address1: HOUSE 821, GALI NO 5 chennai , City1: CHENNAI , State1: TAMIL NADU , ZIP1: 600001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9993381017 , Phone1: , Phone2: , Phone3: , Phone4: , Email: riyasingh@gmail.com , Email1: , Email2: , Email3: , Email4: Name: Sneha Rao , First: Sneha , Middle: , Last: Rao , Gender: F , DOB: 1981-04-14 , Spouse: , Mother: , Father: , Company: MANUFACTURING CO , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: PLOT 537, PHASE 2 ahmedabad , City: AHMEDABAD , State: GUJARAT , ZIP: 380001 , Address1: PLOT 537, PHASE 2 ahmedabad , City1: AHMEDABAD , State1: GUJARAT , ZIP1: 380001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9433154770 , Phone1: , Phone2: , Phone3: , Phone4: , Email: sneharao@yahoo.com , Email1: , Email2: , Email3: , Email4: 0
    Name: Pooja Sharma , First: Pooja , Middle: , Last: Sharma , Gender: F , DOB: 1993-01-13 , Spouse: , Mother: , Father: , Company: MANUFACTURING CO , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: HOUSE 383, BLOCK A lucknow , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: HOUSE 383, BLOCK A lucknow , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9187623171 , Phone1: , Phone2: , Phone3: , Phone4: , Email: poojasharma@gmail.com , Email1: , Email2: , Email3: , Email4: Name: Meena Sharma , First: Meena , Middle: , Last: Sharma , Gender: F , DOB: 1977-05-27 , Spouse: , Mother: , Father: , Company: AUTO PARTS PVT , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: PLOT 713, PHASE 2 ahmedabad , City: AHMEDABAD , State: GUJARAT , ZIP: 380001 , Address1: PLOT 713, PHASE 2 ahmedabad , City1: AHMEDABAD , State1: GUJARAT , ZIP1: 380001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9581682167 , Phone1: , Phone2: , Phone3: , Phone4: , Email: meenasharma@yahoo.com , Email1: , Email2: , Email3: , Email4: 0
    Name: Swati Iyer , First: Swati , Middle: , Last: Iyer , Gender: F , DOB: 1996-06-14 , Spouse: , Mother: , Father: , Company: EDU SERVICES , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: HOUSE 339, SECTOR 12 lucknow , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: HOUSE 339, SECTOR 12 lucknow , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9390894296 , Phone1: , Phone2: , Phone3: , Phone4: , Email: swatiiyer@gmail.com , Email1: , Email2: , Email3: , Email4: Name: Riya Verma , First: Riya , Middle: , Last: Verma , Gender: F , DOB: 1982-12-07 , Spouse: , Mother: , Father: , Company: ENERGY SOLUTIONS , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: PLOT 123, OLD TOWN kolkata , City: KOLKATA , State: WEST BENGAL , ZIP: 700001 , Address1: PLOT 123, OLD TOWN kolkata , City1: KOLKATA , State1: WEST BENGAL , ZIP1: 700001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9918394863 , Phone1: , Phone2: , Phone3: , Phone4: , Email: riyaverma@yahoo.com , Email1: , Email2: , Email3: , Email4: 0
  • Loss: BinaryCrossEntropyLoss with these parameters:
    {
    "activation_fn": "torch.nn.modules.linear.Identity",
    "pos_weight": null
}

Evaluation Dataset

Unnamed Dataset

  • Size: 32 evaluation samples
  • Columns: sentence1, sentence2, and label
  • Approximate statistics based on the first 32 samples:
    sentence1 sentence2 label
    type string string int
    details
    • min: 622 characters
    • mean: 662.03 characters
    • max: 708 characters
    • min: 629 characters
    • mean: 666.31 characters
    • max: 725 characters
    • 0: ~53.12%
    • 1: ~46.88%
  • Samples:
    sentence1 sentence2 label
    Name: Sneha Reddy , First: Sneha , Middle: , Last: Reddy , Gender: F , DOB: 1991-07-11 , Spouse: , Mother: , Father: , Company: FINANCE CORP INDIA , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: HOUSE 687, BLOCK A kolkata , City: KOLKATA , State: WEST BENGAL , ZIP: 700001 , Address1: HOUSE 687, BLOCK A kolkata , City1: KOLKATA , State1: WEST BENGAL , ZIP1: 700001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9454123990 , Phone1: , Phone2: , Phone3: , Phone4: , Email: snehareddy@gmail.com , Email1: , Email2: , Email3: , Email4: Name: Swati Gupta , First: Swati , Middle: , Last: Gupta , Gender: F , DOB: 2000-09-02 , Spouse: , Mother: , Father: , Company: RETAIL GIANT LTD , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: PLOT 91, NEAR TEMPLE lucknow , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: PLOT 91, NEAR TEMPLE lucknow , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9447112584 , Phone1: , Phone2: , Phone3: , Phone4: , Email: swatigupta@yahoo.com , Email1: , Email2: , Email3: , Email4: 0
    Name: Pradeep Kumar , First: Pradeep , Middle: , Last: Kumar , Gender: M , DOB: 1984-05-19 , Spouse: , Mother: , Father: , Company: MICROSOFT INDIA , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: 169 KONDHWA NEAR SCHOOL , City: BANGALORE , State: KARNATAKA , ZIP: 560066 , Address1: 169 KONDHWA NEAR SCHOOL , City1: BANGALORE , State1: KARNATAKA , ZIP1: 560066 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 8574585188 , Phone1: , Phone2: , Phone3: , Phone4: , Email: pradeepkumar@workmail.com , Email1: , Email2: , Email3: , Email4: Name: Kavya Sharma , First: Kavya , Middle: , Last: Sharma , Gender: F , DOB: 2002-02-20 , Spouse: , Mother: , Father: , Company: PAYTM , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: 477 LAJPAT NAGAR NEAR TEMPLE , City: MUMBAI , State: MAHARASHTRA , ZIP: 400017 , Address1: 477 LAJPAT NAGAR NEAR TEMPLE , City1: MUMBAI , State1: MAHARASHTRA , ZIP1: 400017 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 7168571579 , Phone1: , Phone2: , Phone3: , Phone4: , Email: kavyasharma@workmail.com , Email1: , Email2: , Email3: , Email4: 0
    Name: Priya Prasad Reddy , First: Priya , Middle: Prasad , Last: Reddy , Gender: F , DOB: 1983-07-03 , Spouse: , Mother: , Father: , Company: GLOBAL INFOTECH , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: FLAT 401, LAKE APT, 24 MAIN RD , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: FLAT 401, LAKE APT, 24 MAIN RD , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9149203558 , Phone1: , Phone2: , Phone3: , Phone4: , Email: priyareddy@gmail.com , Email1: priya.reddy@globalinfotech.com , Email2: , Email3: , Email4: Name: Priya Reddy , First: Priya , Middle: , Last: Reddy , Gender: F , DOB: 1983-07-03 , Spouse: , Mother: , Father: , Company: GLOBAL INFOTECH PVT LTD , ParentCompany: , TaxID: , LicenseID: , PassportID: , Address: FLAT 401, LAKE APARTMENT, 24 MAIN ROAD , City: LUCKNOW , State: UTTAR PRADESH , ZIP: 226001 , Address1: FLAT 401, LAKE APARTMENT, 24 MAIN ROAD , City1: LUCKNOW , State1: UTTAR PRADESH , ZIP1: 226001 , Address2: , City2: , State2: , ZIP2: , Address3: , City3: , State3: , ZIP3: , Address4: , City4: , State4: , ZIP4: , Phone: 9208449460 , Phone1: , Phone2: , Phone3: , Phone4: , Email: priyareddy@gmail.com , Email1: priya.reddy@globalinfotech.com , Email2: , Email3: , Email4: 1
  • Loss: BinaryCrossEntropyLoss with these parameters:
    {
    "activation_fn": "torch.nn.modules.linear.Identity",
    "pos_weight": null
}

Training Hyperparameters

Non-Default Hyperparameters

  • eval_strategy: steps
  • per_device_train_batch_size: 64
  • per_device_eval_batch_size: 64
  • learning_rate: 2e-05
  • weight_decay: 0.01
  • num_train_epochs: 1
  • warmup_ratio: 0.1
  • use_cpu: True
  • load_best_model_at_end: True
  • dataloader_pin_memory: False

All Hyperparameters

Click to expand
  • overwrite_output_dir: False
  • do_predict: False
  • eval_strategy: steps
  • prediction_loss_only: True
  • per_device_train_batch_size: 64
  • per_device_eval_batch_size: 64
  • per_gpu_train_batch_size: None
  • per_gpu_eval_batch_size: None
  • gradient_accumulation_steps: 1
  • eval_accumulation_steps: None
  • torch_empty_cache_steps: None
  • learning_rate: 2e-05
  • weight_decay: 0.01
  • adam_beta1: 0.9
  • adam_beta2: 0.999
  • adam_epsilon: 1e-08
  • max_grad_norm: 1.0
  • num_train_epochs: 1
  • max_steps: -1
  • lr_scheduler_type: linear
  • lr_scheduler_kwargs: None
  • warmup_ratio: 0.1
  • warmup_steps: 0
  • log_level: passive
  • log_level_replica: warning
  • log_on_each_node: True
  • logging_nan_inf_filter: True
  • save_safetensors: True
  • save_on_each_node: False
  • save_only_model: False
  • restore_callback_states_from_checkpoint: False
  • no_cuda: False
  • use_cpu: True
  • use_mps_device: False
  • seed: 42
  • data_seed: None
  • jit_mode_eval: False
  • bf16: False
  • fp16: False
  • fp16_opt_level: O1
  • half_precision_backend: auto
  • bf16_full_eval: False
  • fp16_full_eval: False
  • tf32: None
  • local_rank: 0
  • ddp_backend: None
  • tpu_num_cores: None
  • tpu_metrics_debug: False
  • debug: []
  • dataloader_drop_last: False
  • dataloader_num_workers: 0
  • dataloader_prefetch_factor: None
  • past_index: -1
  • disable_tqdm: False
  • remove_unused_columns: True
  • label_names: None
  • load_best_model_at_end: True
  • ignore_data_skip: False
  • fsdp: []
  • fsdp_min_num_params: 0
  • fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
  • fsdp_transformer_layer_cls_to_wrap: None
  • accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
  • parallelism_config: None
  • deepspeed: None
  • label_smoothing_factor: 0.0
  • optim: adamw_torch_fused
  • optim_args: None
  • adafactor: False
  • group_by_length: False
  • length_column_name: length
  • project: huggingface
  • trackio_space_id: trackio
  • ddp_find_unused_parameters: None
  • ddp_bucket_cap_mb: None
  • ddp_broadcast_buffers: False
  • dataloader_pin_memory: False
  • dataloader_persistent_workers: False
  • skip_memory_metrics: True
  • use_legacy_prediction_loop: False
  • push_to_hub: False
  • resume_from_checkpoint: None
  • hub_model_id: None
  • hub_strategy: every_save
  • hub_private_repo: None
  • hub_always_push: False
  • hub_revision: None
  • gradient_checkpointing: False
  • gradient_checkpointing_kwargs: None
  • include_inputs_for_metrics: False
  • include_for_metrics: []
  • eval_do_concat_batches: True
  • fp16_backend: auto
  • push_to_hub_model_id: None
  • push_to_hub_organization: None
  • mp_parameters:
  • auto_find_batch_size: False
  • full_determinism: False
  • torchdynamo: None
  • ray_scope: last
  • ddp_timeout: 1800
  • torch_compile: False
  • torch_compile_backend: None
  • torch_compile_mode: None
  • include_tokens_per_second: False
  • include_num_input_tokens_seen: no
  • neftune_noise_alpha: None
  • optim_target_modules: None
  • batch_eval_metrics: False
  • eval_on_start: False
  • use_liger_kernel: False
  • liger_kernel_config: None
  • eval_use_gather_object: False
  • average_tokens_across_devices: True
  • prompts: None
  • batch_sampler: batch_sampler
  • multi_dataset_batch_sampler: proportional
  • router_mapping: {}
  • learning_rate_mapping: {}

Training Logs

Epoch Step Validation Loss entity-matching_average_precision
0.3333 1 0.0162 1.0
0.6667 2 0.0148 1.0
1.0 3 0.0162 1.0
  • The bold row denotes the saved checkpoint.

Framework Versions

  • Python: 3.10.12
  • Sentence Transformers: 5.3.0
  • Transformers: 4.57.6
  • PyTorch: 2.10.0+cu128
  • Accelerate: 1.13.0
  • Datasets: 4.8.4
  • Tokenizers: 0.22.2

Citation

BibTeX

Sentence Transformers 

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}