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

Documentation: Sentence Transformers Documentation
Documentation: Cross Encoder Documentation
Repository: Sentence Transformers on GitHub
Hugging Face: Cross Encoders on Hugging Face

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.

python

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

Dataset: entity-matching
Evaluated with CrossEncoderClassificationEvaluator

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: [object Object] , 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: [object Object] , 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: [object Object] , 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: [object Object] , 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: [object Object] , 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: [object Object] , Email1: , Email2: , Email3: , Email4:	`0`

Loss: BinaryCrossEntropyLoss with these parameters:
json
1{ 2 "activation_fn": "torch.nn.modules.linear.Identity", 3 "pos_weight": null 4}

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: [object Object] , 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: [object Object] , 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: [object Object] , 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: [object Object] , 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: [object Object] , Email1: [object Object] , 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: [object Object] , Email1: [object Object] , Email2: , Email3: , Email4:	`1`

Loss: BinaryCrossEntropyLoss with these parameters:
json
1{ 2 "activation_fn": "torch.nn.modules.linear.Identity", 3 "pos_weight": null 4}

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

bibtex

@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",
}

	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%