| --- |
| 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: 1.0 |
| name: Accuracy |
| - type: accuracy_threshold |
| value: 0.5193085670471191 |
| name: Accuracy Threshold |
| - type: f1 |
| value: 1.0 |
| name: F1 |
| - type: f1_threshold |
| value: 0.5193085670471191 |
| name: F1 Threshold |
| - type: precision |
| value: 1.0 |
| name: Precision |
| - type: recall |
| value: 1.0 |
| name: Recall |
| - type: average_precision |
| value: 1.0 |
| name: Average Precision |
| --- |
| |
| # CrossEncoder based on BAAI/bge-reranker-v2-m3 |
|
|
| This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) using the [sentence-transformers](https://www.SBERT.net) 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](https://huggingface.co/BAAI/bge-reranker-v2-m3) <!-- at revision 953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e --> |
| - **Maximum Sequence Length:** 512 tokens |
| - **Number of Output Labels:** 1 label |
| <!-- - **Training Dataset:** Unknown --> |
| <!-- - **Language:** Unknown --> |
| <!-- - **License:** Unknown --> |
|
|
| ### Model Sources |
|
|
| - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) |
| - **Documentation:** [Cross Encoder Documentation](https://www.sbert.net/docs/cross_encoder/usage/usage.html) |
| - **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers) |
| - **Hugging Face:** [Cross Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=cross-encoder) |
|
|
| ## Usage |
|
|
| ### Direct Usage (Sentence Transformers) |
|
|
| First install the Sentence Transformers library: |
|
|
| ```bash |
| 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': ...}, ...] |
| ``` |
|
|
| <!-- |
| ### Direct Usage (Transformers) |
|
|
| <details><summary>Click to see the direct usage in Transformers</summary> |
|
|
| </details> |
| --> |
|
|
| <!-- |
| ### Downstream Usage (Sentence Transformers) |
|
|
| You can finetune this model on your own dataset. |
|
|
| <details><summary>Click to expand</summary> |
|
|
| </details> |
| --> |
|
|
| <!-- |
| ### Out-of-Scope Use |
|
|
| *List how the model may foreseeably be misused and address what users ought not to do with the model.* |
| --> |
|
|
| ## Evaluation |
|
|
| ### Metrics |
|
|
| #### Cross Encoder Classification |
|
|
| * Dataset: `entity-matching` |
| * Evaluated with [<code>CrossEncoderClassificationEvaluator</code>](https://sbert.net/docs/package_reference/cross_encoder/evaluation.html#sentence_transformers.cross_encoder.evaluation.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** | |
| |
| <!-- |
| ## Bias, Risks and Limitations |
| |
| *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.* |
| --> |
| |
| <!-- |
| ### Recommendations |
| |
| *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.* |
| --> |
| |
| ## Training Details |
| |
| ### Training Dataset |
| |
| #### Unnamed Dataset |
| |
| * Size: 147 training samples |
| * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code> |
| * Approximate statistics based on the first 147 samples: |
| | | sentence1 | sentence2 | label | |
| |:--------|:--------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:------------------------------------------------| |
| | type | string | string | int | |
| | details | <ul><li>min: 620 characters</li><li>mean: 659.54 characters</li><li>max: 715 characters</li></ul> | <ul><li>min: 627 characters</li><li>mean: 662.53 characters</li><li>max: 731 characters</li></ul> | <ul><li>0: ~53.74%</li><li>1: ~46.26%</li></ul> | |
| * Samples: |
| | sentence1 | sentence2 | label | |
| |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------| |
| | <code>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: </code> | <code>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: </code> | <code>0</code> | |
| | <code>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: </code> | <code>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: </code> | <code>0</code> | |
| | <code>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: </code> | <code>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: </code> | <code>0</code> | |
| * Loss: [<code>BinaryCrossEntropyLoss</code>](https://sbert.net/docs/package_reference/cross_encoder/losses.html#binarycrossentropyloss) with these parameters: |
| ```json |
| { |
| "activation_fn": "torch.nn.modules.linear.Identity", |
| "pos_weight": null |
| } |
| ``` |
| |
| ### Evaluation Dataset |
| |
| #### Unnamed Dataset |
| |
| * Size: 32 evaluation samples |
| * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code> |
| * Approximate statistics based on the first 32 samples: |
| | | sentence1 | sentence2 | label | |
| |:--------|:--------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:------------------------------------------------| |
| | type | string | string | int | |
| | details | <ul><li>min: 622 characters</li><li>mean: 662.03 characters</li><li>max: 708 characters</li></ul> | <ul><li>min: 629 characters</li><li>mean: 666.31 characters</li><li>max: 725 characters</li></ul> | <ul><li>0: ~53.12%</li><li>1: ~46.88%</li></ul> | |
| * Samples: |
| | sentence1 | sentence2 | label | |
| |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------| |
| | <code>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: </code> | <code>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: </code> | <code>0</code> | |
| | <code>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: </code> | <code>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: </code> | <code>0</code> | |
| | <code>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: </code> | <code>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: </code> | <code>1</code> | |
| * Loss: [<code>BinaryCrossEntropyLoss</code>](https://sbert.net/docs/package_reference/cross_encoder/losses.html#binarycrossentropyloss) with these parameters: |
| ```json |
| { |
| "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 |
| <details><summary>Click to expand</summary> |
| |
| - `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`: {} |
| |
| </details> |
| |
| ### 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", |
| } |
| ``` |
| |
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