lambdavi
/

span-marker-luke-legal

+---
+library_name: span-marker
+tags:
+- span-marker
+- token-classification
+- ner
+- named-entity-recognition
+- generated_from_span_marker_trainer
+metrics:
+- precision
+- recall
+- f1
+widget:
+- text: The seven-judge Constitution Bench of the Supreme Court in SBP and Co. (supra)
+    while reversing earlier five-judge Constitution Bench judgment in Konkan Railway
+    Corpn. Ltd. vs. Rani Construction (P) Ltd., (2002) 2 SCC 388 held that the power
+    exercised by the Chief Justice of the High Court or the Chief justice of India
+    under Section 11(6) of the Arbitration Act is not an administrative power but
+    is a judicial power.
+- text: 'In The High Court Of Judicature At Patna Criminal Writ Jurisdiction Case
+    No.160 of 2021 Arising Out of Ps. Case No.-58 Year-2020 Thana- Bakhari District-
+    Begusarai ====================================================== Hanif Ur Rahman,
+    son of Azhar Rahman, Resident of C-39, East Nizamuddin, New Delhi....... Petitioner
+    Versus 1. The State of Bihar (through Chief Secretary, Govt. of Bihar) Main Secretariat,
+    Patna - 800015. 2. Meena Khatoon, wife of Mastan @ Noor Mohammad, Resident of
+    Village- Mansurpur Chaksikandar, P.S.- Bidupur, District- Vaishali (Bihar) 3.
+    The Bihar Police, through Standing Counsel. 4. Child Welfare Committee, through
+    Chairperson, Chanakyanagar, Mahmadpur, Begusarai. 5. The Superintendent, Alpawas
+    Grih, Nirala Nagar, Behind G.D. College, Ratanpur, Begusarai....... Respondents
+    ====================================================== Appearance:For the Petitioner:Ms.
+    Kriti Awasthi, Advocate Mr. Sambhav Gupta, Advocate Mr. Navnit Kumar, Advocate
+    Mr. Shyam Kumar, Advocate For the Respondents:Mr.Nadim Seraj, G.P.5 For the Resp.
+    No. 2:Ms. Archana Sinha, Advocate For the Resp. No. 4:Mr. Prabhu Narain Sharma,
+    Advocate ====================================================== Coram: Honourable
+    Mr. Justice Rajeev Ranjan Prasad C.A.V. Judgment'
+- text: '1 R In The High Court Of Karnataka At Bengaluru Dated This The 19Th Day Of
+    February, 2021 Before The Hon''Ble Mr. Justice H.P. Sandesh Criminal Appeal No.176/2011
+    Between: Sri G.L. Jagadish, S/O Sri G.N. Lingappa, Aged About 52 Years, Residing
+    At No.29, 3Rd Main, Basaveshwara Housing Society Layout, Vijayanagar, Near Bts
+    Depot, Bengaluru-40....Appellant [By Sri H. Ramachandra, Advocate For Sri H.R.
+    Anantha Krishna Murthy And Associates - (Through V.C.)] And: Smt. Vasantha Kokila,
+    W/O Late N.R. Somashekhar, Aged About 58 Years, Residing At No.322, 8Th Main,
+    3Rd Stage, 4Th Block, Basaveshwaranagar, Bengaluru....Respondent [By Sri K.R.
+    Lakshminarayana Rao, Advocate] This Criminal Appeal Is Filed Under Section 378(4)
+    Of Cr.P.C. Praying To Set Aside The Order Dated 06.07.2010 Passed By The P.O.
+    Ftc-Ii, Bengaluru In Crl.A. No.470/2009 And Confirming The Order Dated 27.05.2009
+    Passed By The Xxii Acmm And Xxiv Ascj, Bengaluru In C.C.No.17229/2004 Convicting
+    The Respondent/Accused For The Offence Punishable Under Section 138 Of Ni Act.
+    2 This Criminal Appeal Having Been Heard And Reserved For Orders On 06.02.2021
+    This Day, The Court Pronounced The Following: Judgment'
+- text: The petition was filed through Sh. Vijay Pahwa, General Power of Attorney
+    and it was asserted in the petition under Section 13-B of the Rent Act that 1
+    of 23 50% share of the demised premises had been purchased by the landlord from
+    Sh. Vinod Malhotra vide sale deed No.4226 registered on 20.12.2007 with Sub Registrar,
+    Chandigarh.
+- text: Mr. Arun Bharadwaj, ld. CGSC, appearing for the Union of India, has Signature
+    Not Verified Digitally Signed By:PRATHIBA M SINGH Signing Date:09.10.2020 16:15
+    Digitally Signed By:SINDHU KRISHNAKUMAR Signing Date:09.10.2020 16:50:02 reiterated
+    the submissions made by Dr. Singhvi and has further submitted that this petition
+    ought to be heard with the OA No. 291/138/2020 pending before the CAT.
+pipeline_tag: token-classification
+model-index:
+- name: SpanMarker
+  results:
+  - task:
+      type: token-classification
+      name: Named Entity Recognition
+    dataset:
+      name: Unknown
+      type: unknown
+      split: eval
+    metrics:
+    - type: f1
+      value: 0.9099756690997567
+      name: F1
+    - type: precision
+      value: 0.9089703932832524
+      name: Precision
+    - type: recall
+      value: 0.9109831709477414
+      name: Recall
+---
+# SpanMarker
+This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model that can be used for Named Entity Recognition.
+## Model Details
+### Model Description
+- **Model Type:** SpanMarker
+<!-- - **Encoder:** [Unknown](https://huggingface.co/unknown) -->
+- **Maximum Sequence Length:** 128 tokens
+- **Maximum Entity Length:** 6 words
+<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+### Model Sources
+- **Repository:** [SpanMarker on GitHub](https://github.com/tomaarsen/SpanMarkerNER)
+- **Thesis:** [SpanMarker For Named Entity Recognition](https://raw.githubusercontent.com/tomaarsen/SpanMarkerNER/main/thesis.pdf)
+### Model Labels
+| Label        | Examples                                                                                                                            |
+|:-------------|:------------------------------------------------------------------------------------------------------------------------------------|
+| CASE_NUMBER  | "Section 80", "Section 66 (1)", "Section 26-A"                                                                                      |
+| COURT        | "(1962) 45 ITR 210 (SC)", "Writ Appeal No. 479 of 2005.", "CMA No. 6727 of 93"                                                      |
+| DATE         | "A. SHANKAR NARAYANA", "B.N. Srikrishna,", "(Jarat"                                                                                 |
+| GPE          | "Hongkong Bank", "HDFC Bank, Noida,", "Rahul & Co."                                                                                 |
+| JUDGE        | "Chandigarh", "UP", "Lakhaya,"                                                                                                      |
+| LAWYER       | "the", "Vijay Mishra", "Chandregowda"                                                                                               |
+| ORG          | "The", "A. Sandeep", "For"                                                                                                          |
+| OTHER_PERSON | "Indian Income-tax Act", "POTA", "Indian Income-tax Act, 1922,"                                                                     |
+| PETITIONER   | "Supreme Court.", "Supreme Court,", "Sessions Judge Jaipur City,"                                                                   |
+| PRECEDENT    | "C.C. Alavi Hazi Vs.Palapetty Mohd. & Anr", "Susamma Thomas, 1994 ACJ 1 (SC),", "United India Insurance Co. Ltd. v. Rajendra Singh" |
+| PROVISION    | "Jagdish Prasad Sharma,", "Bhanwarial,", "Amarsingh,"                                                                               |
+| RESPONDENT   | "19.8.1998", "28 March, 1959,", "29.4.1968,"                                                                                        |
+| STATUTE      | "Kaur,", "Tarlochan Singh.", "Agya"                                                                                                 |
+| WITNESS      | "Manju", "Sameer.", "Abid @ Guddu"                                                                                                  |
+## Uses
+### Direct Use for Inference
+```python
+from span_marker import SpanMarkerModel
+# Download from the 🤗 Hub
+model = SpanMarkerModel.from_pretrained("lambdavi/span-marker-luke-legal")
+# Run inference
+entities = model.predict("The petition was filed through Sh. Vijay Pahwa, General Power of Attorney and it was asserted in the petition under Section 13-B of the Rent Act that 1 of 23 50% share of the demised premises had been purchased by the landlord from Sh. Vinod Malhotra vide sale deed No.4226 registered on 20.12.2007 with Sub Registrar, Chandigarh.")
+```
+### Downstream Use
+You can finetune this model on your own dataset.
+<details><summary>Click to expand</summary>
+```python
+from span_marker import SpanMarkerModel, Trainer
+# Download from the 🤗 Hub
+model = SpanMarkerModel.from_pretrained("lambdavi/span-marker-luke-legal")
+# Specify a Dataset with "tokens" and "ner_tag" columns
+dataset = load_dataset("conll2003") # For example CoNLL2003
+# Initialize a Trainer using the pretrained model & dataset
+trainer = Trainer(
+    model=model,
+    train_dataset=dataset["train"],
+    eval_dataset=dataset["validation"],
+)
+trainer.train()
+trainer.save_model("lambdavi/span-marker-luke-legal-finetuned")
+```
+</details>
+<!--
+### Out-of-Scope Use
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+<!--
+## 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 Set Metrics
+| Training set          | Min | Median  | Max  |
+|:----------------------|:----|:--------|:-----|
+| Sentence length       | 3   | 44.5113 | 2795 |
+| Entities per sentence | 0   | 2.7232  | 68   |
+### Training Hyperparameters
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 5
+### Training Results
+| Epoch  | Step | Validation Loss | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy |
+|:------:|:----:|:---------------:|:--------------------:|:-----------------:|:-------------:|:-------------------:|
+| 0.9997 | 1837 | 0.0137          | 0.7773               | 0.7994            | 0.7882        | 0.9577              |
+| 2.0    | 3675 | 0.0090          | 0.8751               | 0.8348            | 0.8545        | 0.9697              |
+| 2.9997 | 5512 | 0.0077          | 0.8777               | 0.8959            | 0.8867        | 0.9770              |
+| 4.0    | 7350 | 0.0061          | 0.8941               | 0.9083            | 0.9011        | 0.9811              |
+| 4.9986 | 9185 | 0.0064          | 0.9090               | 0.9110            | 0.9100        | 0.9824              |
+### Framework Versions
+- Python: 3.10.12
+- SpanMarker: 1.5.0
+- Transformers: 4.36.0
+- PyTorch: 2.0.0
+- Datasets: 2.17.1
+- Tokenizers: 0.15.0
+## Citation
+### BibTeX
+```
+@software{Aarsen_SpanMarker,
+    author = {Aarsen, Tom},
+    license = {Apache-2.0},
+    title = {{SpanMarker for Named Entity Recognition}},
+    url = {https://github.com/tomaarsen/SpanMarkerNER}
+}
+```
+<!--
+## Glossary
+*Clearly define terms in order to be accessible across audiences.*
+-->
+<!--
+## Model Card Authors
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+<!--
+## Model Card Contact
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->