Model: niting089/finetuned_arctic
Author: niting089
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:600, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:Snowflake/snowflake-arctic-embed-m, base_model:finetune:Snowflake/snowflake-arctic-embed-m, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Snowflake/snowflake-arctic-embed-m
Card metadata: base_model: Snowflake/snowflake-arctic-embed-m
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:600, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: How does the Blueprint for an AI Bill of Rights aim to protect the rights of the American public?
sentences: and use prohibitions. You and your communities should be free from unchecked surveillance; surveillance 
technologies should be subject to heightened oversight that includes at least pre-deployment assessment of their 
potential harms and scope limits to protect privacy and civil liberties. Continuous surveillance and monitoring, steps to move these principles into practice and promote common approaches that allow technological 
innovation to flourish while protecting people from harm. 
9, ABOUT THIS FRAMEWORK­­­­­
The Blueprint for an AI Bill of Rights is a set of five principles and associated practices to help guide the 
design, use, and deployment of automated systems to protect the rights of the American public in the age of 
artificial intel-ligence. Developed through extensive consultation with the American public, these principles are, source_sentence: How can organizations monitor the impact of proxy features on algorithmic discrimination?
sentences: sociodemographic variables that adjust or “correct” the algorithm’s output on the basis of a patient’s race or
ethnicity, which can lead to race-based health inequities.47
25
Algorithmic 
Discrimination 
Protections, proxy; if needed, it may be possible to identify alternative attributes that can be used instead. At a minimum, 
organizations should ensure a proxy feature is not given undue weight and should monitor the system closely 
for any resulting algorithmic discrimination.   
26
Algorithmic 
Discrimination 
Protections, velopment, and deployment of automated systems, and from the 
compounded harm of its reuse. Independent evaluation and report­
ing that confirms that the system is safe and effective, including re­
porting of steps taken to mitigate potential harms, should be per­
formed and the results made public whenever possible. 
15, source_sentence: What measures can be taken to ensure that AI systems are designed to be accessible for people with disabilities?
sentences: potential for meaningful impact on people’s rights, opportunities, or access and include those to impacted 
communities that may not be direct users of the automated system, risks resulting from purposeful misuse of 
the system, and other concerns identified via the consultation process. Assessment and, where possible, mea­, and as a lifecycle minimum performance standard. Decision possibilities resulting from performance testing 
should include the possibility of not deploying the system. 
Risk identification and mitigation. Before deployment, and in a proactive and ongoing manner, poten­
tial risks of the automated system should be identified and mitigated. Identified risks should focus on the, individuals 
and 
communities 
from algorithmic 
discrimination and to use and design systems in an equitable way. This protection should include proactive 
equity assessments as part of the system design, use of representative data and protection against proxies 
for demographic features, ensuring accessibility for people with disabilities in design and development,, source_sentence: How should organizations address concerns raised during public consultations regarding AI data processing and interpretation?  
sentences: and testing and evaluation of AI technologies and systems. It is expected to be released in the winter of 2022-23. 
21, provide guidance whenever automated systems can meaningfully impact the public’s rights, opportunities, 
or access to critical needs. 
3, learning models or for other purposes, including how data sources were processed and interpreted, a 
summary of what data might be missing, incomplete, or erroneous, and data relevancy justifications; the 
results of public consultation such as concerns raised and any decisions made due to these concerns; risk, source_sentence: What role do ethical considerations play in the development and implementation of automated systems?
sentences: tial to meaningfully impact rights, opportunities, or access. Additionally, this framework does not analyze or 
take a position on legislative and regulatory proposals in municipal, state, and federal government, or those in 
other countries. 
We have seen modest progress in recent years, with some state and local governments responding to these prob­, •
Searches for “Black girls,” “Asian girls,” or “Latina girls” return predominantly39 sexualized content, rather
than role models, toys, or activities.40 Some search engines have been working to reduce the prevalence of
these results, but the problem remains.41
•
Advertisement delivery systems that predict who is most likely to click on a job advertisement end up deliv-, particularly relevant to automated systems, without articulating a specific set of FIPPs or scoping 
applicability or the interests served to a single particular domain, like privacy, civil rights and civil liberties, 
ethics, or risk management. The Technical Companion builds on this prior work to provide practical next
model-index: name: SentenceTransformer based on Snowflake/snowflake-arctic-embed-m
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy@1
value: 0.83
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.96
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.98
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.99
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.83
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.31999999999999995
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19599999999999995
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09899999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.83
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.96
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.98
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.99
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9195971547817925
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8960000000000001
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.8966666666666666
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.83
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.96
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.98
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.99
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.83
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.31999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19599999999999995
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09899999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.83
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.96
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.98
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.99
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9195971547817925
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.8960000000000001
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.8966666666666666
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 136
Created: 2024-09-24 17:55:09