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pujithapsx
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finetuned_bge_reranker_m3_merged_fullrecord_v1

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:126
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
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pujithapsx commited on
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Production-ready merged model - LoRA fine-tuned on rich Indian entity resolution dataset (211 records)

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  1. .gitattributes +1 -0
  2. README.md +396 -0
  3. config.json +40 -0
  4. model.safetensors +3 -0
  5. tokenizer.json +3 -0
  6. tokenizer_config.json +16 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - sentence-transformers
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+ - cross-encoder
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+ - reranker
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+ - generated_from_trainer
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+ - dataset_size:126
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+ - loss:BinaryCrossEntropyLoss
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+ base_model: BAAI/bge-reranker-v2-m3
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+ pipeline_tag: text-ranking
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+ library_name: sentence-transformers
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+ metrics:
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+ - accuracy
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+ - accuracy_threshold
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+ - f1
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+ - f1_threshold
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+ - precision
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+ - recall
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+ - average_precision
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+ model-index:
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+ - name: CrossEncoder based on BAAI/bge-reranker-v2-m3
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+ results:
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+ - task:
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+ type: cross-encoder-classification
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+ name: Cross Encoder Classification
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+ dataset:
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+ name: rich entity matching lora
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+ type: rich-entity-matching-lora
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+ metrics:
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+ - type: accuracy
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+ value: 1.0
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+ name: Accuracy
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+ - type: accuracy_threshold
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+ value: 0.49942895770072937
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+ name: Accuracy Threshold
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+ - type: f1
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+ value: 1.0
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+ name: F1
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+ - type: f1_threshold
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+ value: 0.49942895770072937
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+ name: F1 Threshold
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+ - type: precision
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+ value: 1.0
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+ name: Precision
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+ - type: recall
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+ value: 1.0
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+ name: Recall
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+ - type: average_precision
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+ value: 1.0
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+ name: Average Precision
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+ ---
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+
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+ # CrossEncoder based on BAAI/bge-reranker-v2-m3
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+
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+ 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.
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ - **Model Type:** Cross Encoder
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+ - **Base model:** [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) <!-- at revision 953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e -->
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+ - **Maximum Sequence Length:** 512 tokens
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+ - **Number of Output Labels:** 1 label
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+ <!-- - **Training Dataset:** Unknown -->
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+ <!-- - **Language:** Unknown -->
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+ <!-- - **License:** Unknown -->
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+
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+ ### Model Sources
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+
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+ - **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
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+ - **Documentation:** [Cross Encoder Documentation](https://www.sbert.net/docs/cross_encoder/usage/usage.html)
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+ - **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers)
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+ - **Hugging Face:** [Cross Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=cross-encoder)
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+
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+ ## Usage
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+
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+ ### Direct Usage (Sentence Transformers)
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+
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+ First install the Sentence Transformers library:
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+
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+ ```bash
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+ pip install -U sentence-transformers
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+ ```
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+
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+ Then you can load this model and run inference.
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+ ```python
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+ from sentence_transformers import CrossEncoder
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+
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+ # Download from the 🤗 Hub
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+ model = CrossEncoder("pujithapsx/finetuned_bge_reranker_m3_merged_fullrecord_v1")
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+ # Get scores for pairs of texts
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+ pairs = [
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+ ['Name: Rohan Rao Sharma | First: Rohan | Middle: Rao | Last: Sharma | Gender: M | DOB: 1983-08-04 | Spouse: | Mother: | Father: | Company: ORACLE INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 551 KORAMANGALA NEAR MALL | City: AHMEDABAD | State: GUJARAT | ZIP: 380071 | Address1: 551 KORAMANGALA NEAR MALL | City1: AHMEDABAD | State1: GUJARAT | ZIP1: 380071 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: 8641615633 | Phone1: | Phone2: | Phone3: | Phone4: | Email: rohan.sharma@gmail.com | Email1: | Email2: | Email3: | Email4: ', 'Name: Rohan Rao Sharma | First: Rohan | Middle: Rao | Last: Sharma | Gender: M | DOB: 1983-08-04 | Spouse: | Mother: | Father: | Company: ORACLE INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 551 KORAMANGALA NEAR MALL | City: AHMEDABAD | State: GUJARAT | ZIP: 380071 | Address1: 551 KORAMANGALA NEAR MALL | City1: AHMEDABAD | State1: GUJARAT | ZIP1: 380071 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: | Phone1: | Phone2: | Phone3: | Phone4: | Email: rohan.sharma@yahoo.com | Email1: | Email2: | Email3: | Email4: '],
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+ ['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: '],
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+ ['Name: Aditya Singh | First: Aditya | Middle: | Last: Singh | Gender: M | DOB: 1982-02-07 | Spouse: | Mother: | Father: | Company: CAPGEMINI INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 753 SECTOR 12 NEAR PARK | City: COIMBATORE | State: TAMIL NADU | ZIP: 641099 | Address1: 753 SECTOR 12 NEAR PARK | City1: COIMBATORE | State1: TAMIL NADU | ZIP1: 641099 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: | Phone1: | Phone2: | Phone3: | Phone4: | Email: adityasingh@company.in | Email1: | Email2: | Email3: | Email4: ', 'Name: Kiran Chopra | First: Kiran | Middle: | Last: Chopra | Gender: M | DOB: 1986-04-13 | Spouse: | Mother: | Father: | Company: GOOGLE INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 524 MG ROAD NEAR SCHOOL | City: NAGPUR | State: MAHARASHTRA | ZIP: 440013 | Address1: 524 MG ROAD NEAR SCHOOL | City1: NAGPUR | State1: MAHARASHTRA | ZIP1: 440013 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: | Phone1: | Phone2: | Phone3: | Phone4: | Email: kiranchopra@company.in | Email1: | Email2: | Email3: | Email4: '],
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+ ['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: '],
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+ ['Name: Neha Gupta | First: Neha | Middle: | Last: Gupta | Gender: F | DOB: 1981-04-13 | Spouse: | Mother: | Father: | Company: HEALTHCARE SYSTEMS | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: HOUSE 57, BLOCK A kanpur | City: KANPUR | State: UTTAR PRADESH | ZIP: 208001 | Address1: HOUSE 57, BLOCK A kanpur | City1: KANPUR | State1: UTTAR PRADESH | ZIP1: 208001 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: 9423646570 | Phone1: | Phone2: | Phone3: | Phone4: | Email: nehagupta@gmail.com | Email1: | Email2: | Email3: | Email4: ', 'Name: Vikram Gupta | First: Vikram | Middle: | Last: Gupta | Gender: M | DOB: 1993-06-04 | Spouse: | Mother: | Father: | Company: TECH SOLUTIONS PVT LTD | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: PLOT 510, NEAR TEMPLE delhi | City: DELHI | State: DELHI | ZIP: 110001 | Address1: PLOT 510, NEAR TEMPLE delhi | City1: DELHI | State1: DELHI | ZIP1: 110001 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: 9288650860 | Phone1: | Phone2: | Phone3: | Phone4: | Email: vikramgupta@yahoo.com | Email1: | Email2: | Email3: | Email4: '],
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+ ]
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+ scores = model.predict(pairs)
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+ print(scores.shape)
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+ # (5,)
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+
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+ # Or rank different texts based on similarity to a single text
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+ ranks = model.rank(
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+ 'Name: Rohan Rao Sharma | First: Rohan | Middle: Rao | Last: Sharma | Gender: M | DOB: 1983-08-04 | Spouse: | Mother: | Father: | Company: ORACLE INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 551 KORAMANGALA NEAR MALL | City: AHMEDABAD | State: GUJARAT | ZIP: 380071 | Address1: 551 KORAMANGALA NEAR MALL | City1: AHMEDABAD | State1: GUJARAT | ZIP1: 380071 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: 8641615633 | Phone1: | Phone2: | Phone3: | Phone4: | Email: rohan.sharma@gmail.com | Email1: | Email2: | Email3: | Email4: ',
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+ [
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+ 'Name: Rohan Rao Sharma | First: Rohan | Middle: Rao | Last: Sharma | Gender: M | DOB: 1983-08-04 | Spouse: | Mother: | Father: | Company: ORACLE INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 551 KORAMANGALA NEAR MALL | City: AHMEDABAD | State: GUJARAT | ZIP: 380071 | Address1: 551 KORAMANGALA NEAR MALL | City1: AHMEDABAD | State1: GUJARAT | ZIP1: 380071 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: | Phone1: | Phone2: | Phone3: | Phone4: | Email: rohan.sharma@yahoo.com | Email1: | Email2: | Email3: | Email4: ',
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+ '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: ',
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+ 'Name: Kiran Chopra | First: Kiran | Middle: | Last: Chopra | Gender: M | DOB: 1986-04-13 | Spouse: | Mother: | Father: | Company: GOOGLE INDIA | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: 524 MG ROAD NEAR SCHOOL | City: NAGPUR | State: MAHARASHTRA | ZIP: 440013 | Address1: 524 MG ROAD NEAR SCHOOL | City1: NAGPUR | State1: MAHARASHTRA | ZIP1: 440013 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: | Phone1: | Phone2: | Phone3: | Phone4: | Email: kiranchopra@company.in | Email1: | Email2: | Email3: | Email4: ',
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+ '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: ',
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+ 'Name: Vikram Gupta | First: Vikram | Middle: | Last: Gupta | Gender: M | DOB: 1993-06-04 | Spouse: | Mother: | Father: | Company: TECH SOLUTIONS PVT LTD | ParentCompany: | TaxID: | LicenseID: | PassportID: | Address: PLOT 510, NEAR TEMPLE delhi | City: DELHI | State: DELHI | ZIP: 110001 | Address1: PLOT 510, NEAR TEMPLE delhi | City1: DELHI | State1: DELHI | ZIP1: 110001 | Address2: | City2: | State2: | ZIP2: | Address3: | City3: | State3: | ZIP3: | Address4: | City4: | State4: | ZIP4: | Phone: 9288650860 | Phone1: | Phone2: | Phone3: | Phone4: | Email: vikramgupta@yahoo.com | Email1: | Email2: | Email3: | Email4: ',
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+ ]
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+ )
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+ # [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]
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+ ```
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+
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+ <!--
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+ ### Direct Usage (Transformers)
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+
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+ <details><summary>Click to see the direct usage in Transformers</summary>
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+
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+ </details>
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+ -->
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+
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+ <!--
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+ ### Downstream Usage (Sentence Transformers)
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+
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+ You can finetune this model on your own dataset.
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+
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+ <details><summary>Click to expand</summary>
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+
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+ </details>
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+ -->
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+
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+ <!--
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+ ### Out-of-Scope Use
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+
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+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
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+ -->
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+
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+ ## Evaluation
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+
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+ ### Metrics
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+
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+ #### Cross Encoder Classification
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+
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+ * Dataset: `rich-entity-matching-lora`
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+ * Evaluated with [<code>CrossEncoderClassificationEvaluator</code>](https://sbert.net/docs/package_reference/cross_encoder/evaluation.html#sentence_transformers.cross_encoder.evaluation.CrossEncoderClassificationEvaluator)
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+
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+ | Metric | Value |
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+ |:----------------------|:--------|
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+ | accuracy | 1.0 |
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+ | accuracy_threshold | 0.4994 |
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+ | f1 | 1.0 |
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+ | f1_threshold | 0.4994 |
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+ | precision | 1.0 |
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+ | recall | 1.0 |
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+ | **average_precision** | **1.0** |
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+
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+ <!--
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+ ## Bias, Risks and Limitations
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+
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+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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+ -->
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+
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+ <!--
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+ ### Recommendations
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+
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+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
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+ -->
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+
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+ ## Training Details
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+
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+ ### Training Dataset
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+
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+ #### Unnamed Dataset
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+
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+ * Size: 126 training samples
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+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code>
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+ * Approximate statistics based on the first 126 samples:
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+ | | sentence1 | sentence2 | label |
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+ |:--------|:--------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:------------------------------------------------|
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+ | type | string | string | int |
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+ | details | <ul><li>min: 622 characters</li><li>mean: 660.92 characters</li><li>max: 715 characters</li></ul> | <ul><li>min: 627 characters</li><li>mean: 664.96 characters</li><li>max: 731 characters</li></ul> | <ul><li>0: ~53.97%</li><li>1: ~46.03%</li></ul> |
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+ * Samples:
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+ | sentence1 | sentence2 | label |
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+ |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
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+ | <code>Name: Arjun Singh \| First: Arjun \| Middle: \| Last: Singh \| Gender: M \| DOB: 1997-12-22 \| Spouse: \| Mother: \| Father: \| Company: RELIANCE JIO \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: 910 KORAMANGALA NEAR MALL \| City: PUNE \| State: MAHARASHTRA \| ZIP: 411092 \| Address1: 910 KORAMANGALA NEAR MALL \| City1: PUNE \| State1: MAHARASHTRA \| ZIP1: 411092 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: arjunsingh@workmail.com \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>Name: Swati Nair \| First: Swati \| Middle: \| Last: Nair \| Gender: F \| DOB: 2003-05-24 \| Spouse: \| Mother: \| Father: \| Company: ZOMATO \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: 108 MAIN BAZAR NEAR SCHOOL \| City: CHENNAI \| State: TAMIL NADU \| ZIP: 600078 \| Address1: 108 MAIN BAZAR NEAR SCHOOL \| City1: CHENNAI \| State1: TAMIL NADU \| ZIP1: 600078 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: 7185520040 \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: swatinair@yahoo.com \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>0</code> |
189
+ | <code>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: </code> | <code>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: </code> | <code>1</code> |
190
+ | <code>Name: Amit Reddy \| First: Amit \| Middle: \| Last: Reddy \| Gender: M \| DOB: 1994-06-17 \| Spouse: \| Mother: \| Father: \| Company: AUTO PARTS PVT \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: HOUSE 112, SECTOR 12 kanpur \| City: KANPUR \| State: UTTAR PRADESH \| ZIP: 208001 \| Address1: HOUSE 112, SECTOR 12 kanpur \| City1: KANPUR \| State1: UTTAR PRADESH \| ZIP1: 208001 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: 9337887233 \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: amitreddy@gmail.com \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>Name: Pradeep Gupta \| First: Pradeep \| Middle: \| Last: Gupta \| Gender: M \| DOB: 2004-11-01 \| Spouse: \| Mother: \| Father: \| Company: MANUFACTURING CO \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: PLOT 491, NEAR TEMPLE delhi \| City: DELHI \| State: DELHI \| ZIP: 110001 \| Address1: PLOT 491, NEAR TEMPLE delhi \| City1: DELHI \| State1: DELHI \| ZIP1: 110001 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: 9836691577 \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: pradeepgupta@yahoo.com \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>0</code> |
191
+ * Loss: [<code>BinaryCrossEntropyLoss</code>](https://sbert.net/docs/package_reference/cross_encoder/losses.html#binarycrossentropyloss) with these parameters:
192
+ ```json
193
+ {
194
+ "activation_fn": "torch.nn.modules.linear.Identity",
195
+ "pos_weight": null
196
+ }
197
+ ```
198
+
199
+ ### Evaluation Dataset
200
+
201
+ #### Unnamed Dataset
202
+
203
+ * Size: 32 evaluation samples
204
+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>label</code>
205
+ * Approximate statistics based on the first 32 samples:
206
+ | | sentence1 | sentence2 | label |
207
+ |:--------|:--------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:------------------------------------------------|
208
+ | type | string | string | int |
209
+ | details | <ul><li>min: 620 characters</li><li>mean: 661.31 characters</li><li>max: 708 characters</li></ul> | <ul><li>min: 628 characters</li><li>mean: 660.66 characters</li><li>max: 720 characters</li></ul> | <ul><li>0: ~53.12%</li><li>1: ~46.88%</li></ul> |
210
+ * Samples:
211
+ | sentence1 | sentence2 | label |
212
+ |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
213
+ | <code>Name: Rohan Rao Sharma \| First: Rohan \| Middle: Rao \| Last: Sharma \| Gender: M \| DOB: 1983-08-04 \| Spouse: \| Mother: \| Father: \| Company: ORACLE INDIA \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: 551 KORAMANGALA NEAR MALL \| City: AHMEDABAD \| State: GUJARAT \| ZIP: 380071 \| Address1: 551 KORAMANGALA NEAR MALL \| City1: AHMEDABAD \| State1: GUJARAT \| ZIP1: 380071 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: 8641615633 \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: rohan.sharma@gmail.com \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>Name: Rohan Rao Sharma \| First: Rohan \| Middle: Rao \| Last: Sharma \| Gender: M \| DOB: 1983-08-04 \| Spouse: \| Mother: \| Father: \| Company: ORACLE INDIA \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: 551 KORAMANGALA NEAR MALL \| City: AHMEDABAD \| State: GUJARAT \| ZIP: 380071 \| Address1: 551 KORAMANGALA NEAR MALL \| City1: AHMEDABAD \| State1: GUJARAT \| ZIP1: 380071 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: rohan.sharma@yahoo.com \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>1</code> |
214
+ | <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> |
215
+ | <code>Name: Aditya Singh \| First: Aditya \| Middle: \| Last: Singh \| Gender: M \| DOB: 1982-02-07 \| Spouse: \| Mother: \| Father: \| Company: CAPGEMINI INDIA \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: 753 SECTOR 12 NEAR PARK \| City: COIMBATORE \| State: TAMIL NADU \| ZIP: 641099 \| Address1: 753 SECTOR 12 NEAR PARK \| City1: COIMBATORE \| State1: TAMIL NADU \| ZIP1: 641099 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: adityasingh@company.in \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>Name: Kiran Chopra \| First: Kiran \| Middle: \| Last: Chopra \| Gender: M \| DOB: 1986-04-13 \| Spouse: \| Mother: \| Father: \| Company: GOOGLE INDIA \| ParentCompany: \| TaxID: \| LicenseID: \| PassportID: \| Address: 524 MG ROAD NEAR SCHOOL \| City: NAGPUR \| State: MAHARASHTRA \| ZIP: 440013 \| Address1: 524 MG ROAD NEAR SCHOOL \| City1: NAGPUR \| State1: MAHARASHTRA \| ZIP1: 440013 \| Address2: \| City2: \| State2: \| ZIP2: \| Address3: \| City3: \| State3: \| ZIP3: \| Address4: \| City4: \| State4: \| ZIP4: \| Phone: \| Phone1: \| Phone2: \| Phone3: \| Phone4: \| Email: kiranchopra@company.in \| Email1: \| Email2: \| Email3: \| Email4: </code> | <code>0</code> |
216
+ * Loss: [<code>BinaryCrossEntropyLoss</code>](https://sbert.net/docs/package_reference/cross_encoder/losses.html#binarycrossentropyloss) with these parameters:
217
+ ```json
218
+ {
219
+ "activation_fn": "torch.nn.modules.linear.Identity",
220
+ "pos_weight": null
221
+ }
222
+ ```
223
+
224
+ ### Training Hyperparameters
225
+ #### Non-Default Hyperparameters
226
+
227
+ - `eval_strategy`: steps
228
+ - `per_device_train_batch_size`: 4
229
+ - `gradient_accumulation_steps`: 4
230
+ - `learning_rate`: 3e-05
231
+ - `weight_decay`: 0.05
232
+ - `warmup_ratio`: 0.2
233
+ - `warmup_steps`: 0.2
234
+ - `dataloader_num_workers`: 3
235
+ - `load_best_model_at_end`: True
236
+ - `dataloader_pin_memory`: False
237
+ - `dataloader_persistent_workers`: True
238
+
239
+ #### All Hyperparameters
240
+ <details><summary>Click to expand</summary>
241
+
242
+ - `do_predict`: False
243
+ - `eval_strategy`: steps
244
+ - `prediction_loss_only`: True
245
+ - `per_device_train_batch_size`: 4
246
+ - `per_device_eval_batch_size`: 8
247
+ - `gradient_accumulation_steps`: 4
248
+ - `eval_accumulation_steps`: None
249
+ - `torch_empty_cache_steps`: None
250
+ - `learning_rate`: 3e-05
251
+ - `weight_decay`: 0.05
252
+ - `adam_beta1`: 0.9
253
+ - `adam_beta2`: 0.999
254
+ - `adam_epsilon`: 1e-08
255
+ - `max_grad_norm`: 1.0
256
+ - `num_train_epochs`: 3
257
+ - `max_steps`: -1
258
+ - `lr_scheduler_type`: linear
259
+ - `lr_scheduler_kwargs`: None
260
+ - `warmup_ratio`: 0.2
261
+ - `warmup_steps`: 0.2
262
+ - `log_level`: passive
263
+ - `log_level_replica`: warning
264
+ - `log_on_each_node`: True
265
+ - `logging_nan_inf_filter`: True
266
+ - `enable_jit_checkpoint`: False
267
+ - `save_on_each_node`: False
268
+ - `save_only_model`: False
269
+ - `restore_callback_states_from_checkpoint`: False
270
+ - `use_cpu`: False
271
+ - `seed`: 42
272
+ - `data_seed`: None
273
+ - `bf16`: False
274
+ - `fp16`: False
275
+ - `bf16_full_eval`: False
276
+ - `fp16_full_eval`: False
277
+ - `tf32`: None
278
+ - `local_rank`: -1
279
+ - `ddp_backend`: None
280
+ - `debug`: []
281
+ - `dataloader_drop_last`: False
282
+ - `dataloader_num_workers`: 3
283
+ - `dataloader_prefetch_factor`: None
284
+ - `disable_tqdm`: False
285
+ - `remove_unused_columns`: True
286
+ - `label_names`: None
287
+ - `load_best_model_at_end`: True
288
+ - `ignore_data_skip`: False
289
+ - `fsdp`: []
290
+ - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
291
+ - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
292
+ - `parallelism_config`: None
293
+ - `deepspeed`: None
294
+ - `label_smoothing_factor`: 0.0
295
+ - `optim`: adamw_torch_fused
296
+ - `optim_args`: None
297
+ - `group_by_length`: False
298
+ - `length_column_name`: length
299
+ - `project`: huggingface
300
+ - `trackio_space_id`: trackio
301
+ - `ddp_find_unused_parameters`: None
302
+ - `ddp_bucket_cap_mb`: None
303
+ - `ddp_broadcast_buffers`: False
304
+ - `dataloader_pin_memory`: False
305
+ - `dataloader_persistent_workers`: True
306
+ - `skip_memory_metrics`: True
307
+ - `push_to_hub`: False
308
+ - `resume_from_checkpoint`: None
309
+ - `hub_model_id`: None
310
+ - `hub_strategy`: every_save
311
+ - `hub_private_repo`: None
312
+ - `hub_always_push`: False
313
+ - `hub_revision`: None
314
+ - `gradient_checkpointing`: False
315
+ - `gradient_checkpointing_kwargs`: None
316
+ - `include_for_metrics`: []
317
+ - `eval_do_concat_batches`: True
318
+ - `auto_find_batch_size`: False
319
+ - `full_determinism`: False
320
+ - `ddp_timeout`: 1800
321
+ - `torch_compile`: False
322
+ - `torch_compile_backend`: None
323
+ - `torch_compile_mode`: None
324
+ - `include_num_input_tokens_seen`: no
325
+ - `neftune_noise_alpha`: None
326
+ - `optim_target_modules`: None
327
+ - `batch_eval_metrics`: False
328
+ - `eval_on_start`: False
329
+ - `use_liger_kernel`: False
330
+ - `liger_kernel_config`: None
331
+ - `eval_use_gather_object`: False
332
+ - `average_tokens_across_devices`: True
333
+ - `use_cache`: False
334
+ - `prompts`: None
335
+ - `batch_sampler`: batch_sampler
336
+ - `multi_dataset_batch_sampler`: proportional
337
+ - `router_mapping`: {}
338
+ - `learning_rate_mapping`: {}
339
+
340
+ </details>
341
+
342
+ ### Training Logs
343
+ | Epoch | Step | Training Loss | Validation Loss | rich-entity-matching-lora_average_precision |
344
+ |:-----:|:----:|:-------------:|:---------------:|:-------------------------------------------:|
345
+ | 0.5 | 4 | 0.0774 | - | - |
346
+ | 1.0 | 8 | 0.0427 | - | - |
347
+ | 1.5 | 12 | 0.0678 | - | - |
348
+ | 1.875 | 15 | - | 0.0067 | 1.0 |
349
+ | 2.0 | 16 | 0.0284 | - | - |
350
+ | 2.5 | 20 | 0.0091 | - | - |
351
+ | 3.0 | 24 | 0.0860 | - | - |
352
+
353
+
354
+ ### Framework Versions
355
+ - Python: 3.12.12
356
+ - Sentence Transformers: 5.2.3
357
+ - Transformers: 5.0.0
358
+ - PyTorch: 2.10.0+cpu
359
+ - Accelerate: 1.12.0
360
+ - Datasets: 4.8.3
361
+ - Tokenizers: 0.22.2
362
+
363
+ ## Citation
364
+
365
+ ### BibTeX
366
+
367
+ #### Sentence Transformers
368
+ ```bibtex
369
+ @inproceedings{reimers-2019-sentence-bert,
370
+ title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
371
+ author = "Reimers, Nils and Gurevych, Iryna",
372
+ booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
373
+ month = "11",
374
+ year = "2019",
375
+ publisher = "Association for Computational Linguistics",
376
+ url = "https://arxiv.org/abs/1908.10084",
377
+ }
378
+ ```
379
+
380
+ <!--
381
+ ## Glossary
382
+
383
+ *Clearly define terms in order to be accessible across audiences.*
384
+ -->
385
+
386
+ <!--
387
+ ## Model Card Authors
388
+
389
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
390
+ -->
391
+
392
+ <!--
393
+ ## Model Card Contact
394
+
395
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
396
+ -->
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+ "position_embedding_type": "absolute",
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+ "sentence_transformers": {
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+ },
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+ "tie_word_embeddings": true,
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+ }
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