metadata
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: >-
The ruling allows for the introduction of the accuser's sexual history as
a way to challenge credibility. This aspect of the law is often
controversial and can revive debates about victim-blaming. Many believe
that a woman's sexual history should not be used to undermine her
testimony. However, some legal experts argue that this type of evidence is
sometimes necessary for a fair trial.
On the other hand, critics of this ruling may assert that it perpetuates a
culture of disbelief towards victims of sexual assault. They could argue
that such evidence could deter future victims from coming forward, fearing
their private lives may be exposed. Furthermore, the defense might
leverage this
- text: >-
03/10/2014: Policy reviewed; no changes to policy statement. Removed
deleted HCPCS codes J0560, J0570, and J0580 from the Code Reference
section. Added HCPCS code J0561. 02/18/2015: Policy description updated
regarding polymerase chain reaction and the evaluation of the
Chemoattractant CXCL13. Medically necessary policy statement regarding
PCR-based direct detection of B. burgdorferi in CSF samples updated to add
"and may replace serologic documentation of infection" to the policy
statement.
- text: >-
In the case of a 17-year-old male with a stabbing injury, the physician
has an obligation to prioritize the patient's immediate medical care and
ensure his safety. Once stabilized, the issue of confidentiality and
reporting must be carefully considered.
In this scenario, the law typically mandates that medical professionals
report injuries resulting from violent acts, such as stabbing, to law
enforcement. This requirement is in place to help protect the patient and
address potential broader safety concerns. Despite the patient's fear of
gang retaliation, the physician must comply with legal obligations to
report the injury.
It is crucial for the physician to have an open and empathetic
conversation with the patient. The physician should explain the legal
requirements for reporting such injuries, the rationale behind these laws,
and the steps involved in the process. Additionally, the physician can
discuss the resources and support available to the patient, such as
counseling or protective services, to address his concerns about safety
and retaliation.
While this situation is challenging due to the patient's fear, balancing
ethical obligations to the patient with legal responsibilities is
essential. By reporting the injury, the physician fulfills their legal
duty while seeking to ensure both the patient's and the community's
safety.
- text: >-
The coverage guidelines outlined in the Medical Policy Manual should not
be used in lieu of the Member's specific benefit plan language. POLICY
HISTORY7/1992: Approved by Medical Policy Advisory Committee (MPAC)
12/30/1999: Policy Guidelines updated
9/21/2001:Policy rewritten to be reflective of Blue Cross Blue Shield
Association policy # 7.01.05, Code Reference section updated, CPT code
92507, 92510 added
11/2001: Reviewed by MPAC; revisions approved
4/18/2002: Type of Service and Place of Service deleted
5/29/2002: Code Reference section updated, CPT code 69949 added, HCPCS
L8619, V5269, V5273, V5299, V5336, V5362, V5363 added
3/6/2003: Code Reference section updated, CPT code 92601, 92602, 92603,
92604 added
7/15/2004: Reviewed by MPAC, bilateral cochlear implantation considered
investigational, Description section aligned with BCBSA policy # 7.01.05,
definition of investigational added Policy Guidelines, Sources updated
10/5/2004: Code Reference section updated, CPT code 69949 deleted, CPT
92507 description revised, CPT 92508 added, ICD-9 procedure code 20.96,
20.97, 20.99, 95.49 added, ICD-9 diagnosis code range 389.10-389.18 listed
separately, ICD-9 diagnosis 389.7 added, HCPCS L8619 note added, HCPCS
V5269, V5273, V5299, V5336, V5362, V5363 deleted
3/22/2005: Code Reference section updated, CPT code 92510 description
revised, HCPCS L8615, L8616, L8617, L8618 with Note: "See POLICY
GUIDELINES for information regarding replacement of the external component
of the cochlear implant" and effective date of 1/1/2005 added. 11/15/2005:
HCPCS codes K0731, K0732, L8620 added
03/10/2006: Coding updated. CPT4 / HCPCS 2006 revisions added to policy
03/13/2006: Policy reviewed, no changes
09/13/2006: Coding updated. ICD9 2006 revisions added to policy
12/27/2006: Code Reference section updated per the 2007 HCPCS revisions
3/27/2007: Policy reviewed, no changes to policy statement.
- text: >-
POLICY HISTORY1/1994: Approved by Medical Policy Advisory Committee (MPAC)
5/1/2002: Type of Service and Place of Service deleted
3/25/2004: Reviewed by MPAC, Policy title “Lyme Disease Treatment” renamed
“Intravenous Antiobiotic Therapy for Lyme Disease”, Description and Policy
sections revised to be consistent with BCBSA policy # 5.01.08, intravenous
antibiotic therapy changed from investigational to medically necessary for
certain indications, investigation definition added, Sources updated,
tables added to Code Reference section
5/5/2004: Code Reference section completed
3/13/2006: Policy reviewed, no changes
9/12/2006: Coding reviewed. ICD9 2006 revisions added to policy
11/13/2006: Code Reference section updated: CPT codes 87475, 87476, and
87477 deleted from policy
4/24/2007: Policy reviewed, policy statement rewritten for clarification
6/21/2007: Policy reviewed, description updated. Policy statement revised;
IV antibiotic therapy is not medically necessary for uncomplicated cranial
nerve palsy associated with Lyme disease and antibiotic-refractory Lyme
arthritis
7/19/2007: Reviewed and approved by MPAC
7/10/2009: Policy reviewed, no changes
12/15/2009: Coding Section revised with 2010 CPT4 and HCPCS revisions
02/23/2011: Added the following to the policy statement: Determination of
levels of the B lymphocyte chemoattractant CXCL13 for diagnosis or
monitoring treatment is considered investigational. No changes to other
policy statements. Removed deleted HCPCS codes J0530, J0540, and J0550
from the Code Reference section.
metrics:
- accuracy
pipeline_tag: text-classification
library_name: setfit
inference: true
base_model: sentence-transformers/all-minilm-l6-v2
SetFit with sentence-transformers/all-minilm-l6-v2
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/all-minilm-l6-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
- Fine-tuning a Sentence Transformer with contrastive learning.
- Training a classification head with features from the fine-tuned Sentence Transformer.
Model Details
Model Description
- Model Type: SetFit
- Sentence Transformer body: sentence-transformers/all-minilm-l6-v2
- Classification head: a LogisticRegression instance
- Maximum Sequence Length: 256 tokens
- Number of Classes: 2 classes
Model Sources
- Repository: SetFit on GitHub
- Paper: Efficient Few-Shot Learning Without Prompts
- Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts
Model Labels
Label | Examples |
---|---|
negative |
|
positive |
|
Uses
Direct Use for Inference
First install the SetFit library:
pip install setfit
Then you can load this model and run inference.
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("ashercn97/code-y-v2")
# Run inference
preds = model("03/10/2014: Policy reviewed; no changes to policy statement. Removed deleted HCPCS codes J0560, J0570, and J0580 from the Code Reference section. Added HCPCS code J0561. 02/18/2015: Policy description updated regarding polymerase chain reaction and the evaluation of the Chemoattractant CXCL13. Medically necessary policy statement regarding PCR-based direct detection of B. burgdorferi in CSF samples updated to add \"and may replace serologic documentation of infection\" to the policy statement.")
Training Details
Training Set Metrics
Training set | Min | Median | Max |
---|---|---|---|
Word count | 45 | 143.875 | 298 |
Label | Training Sample Count |
---|---|
negative | 8 |
positive | 8 |
Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (4, 4)
- max_steps: -1
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- l2_weight: 0.01
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: True
Training Results
Epoch | Step | Training Loss | Validation Loss |
---|---|---|---|
0.1111 | 1 | 0.3269 | - |
1.0 | 9 | - | 0.2071 |
2.0 | 18 | - | 0.1190 |
3.0 | 27 | - | 0.0741 |
4.0 | 36 | - | 0.0629 |
Framework Versions
- Python: 3.11.10
- SetFit: 1.1.2
- Sentence Transformers: 4.0.2
- Transformers: 4.51.3
- PyTorch: 2.4.1+cu124
- Datasets: 3.5.0
- Tokenizers: 0.21.1
Citation
BibTeX
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}