Model: CadenShokat/modernbert-embed-aws
Author: CadenShokat
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, modernbert, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:3312, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:nomic-ai/modernbert-embed-base, base_model:finetune:nomic-ai/modernbert-embed-base, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: nomic-ai/modernbert-embed-base
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:3312, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: nomic-ai/modernbert-embed-base
widget: source_sentence: S3 buckets. Before creating a bucket, make sure that you choose the bucket type that best ﬁts your application and performance requirements. For more information about the various bucket types and the appropriate use cases for each, see Buckets. The following sections provide more information about general purpose buckets, including bucket naming rules, quotas, and bucket conﬁguration details. For a list of restriction and limitations related to Amazon S3 buckets see, General purpose bucket quotas, limitations, and restrictions. Topics • General purpose buckets overview • Common general purpose bucket patterns • Permissions • Managing public access to general purpose buckets • General purpose buckets conﬁguration options • General purpose buckets operations General purpose buckets overview API Version 2006-03-01 53 Amazon
sentences: What should you test for your DB instance?, Where can you find a list of restrictions and limitations related to Amazon S3 buckets?, What does the 'Get started' section provide?, source_sentence: geographies use DynamoDB to build modern, serverless applications that can start small and scale globally. DynamoDB scales to support tables of virtually any size while providing consistent single-digit millisecond performance and high availability. For events, such as Amazon Prime Day, DynamoDB powers multiple high-traﬃc Amazon properties and systems, including Alexa, Amazon.com sites, and all Amazon fulﬁllment centers. For such events, DynamoDB APIs have handled trillions of calls from Amazon properties and systems. DynamoDB continuously serves hundreds of customers with tables that have peak traﬃc of over half a million requests per second. It also serves hundreds of customers whose table sizes exceed 200 TB, and processes over one billion requests per hour. Topics • Characteristics of DynamoDB • DynamoDB use
sentences: What ensures that tasks are always started on secure and patched infrastructure?, What state is the environment in while Elastic Beanstalk creates your AWS resources?, What is the peak traffic that DynamoDB serves for some customers?, source_sentence: Amazon Bedrock? 1 Amazon Bedrock User Guide • Create applications that reason through how to help a customer – Build agents that use foundation models, make API calls, and (optionally) query knowledge bases in order to reason through and carry out tasks for your customers. • Adapt models to speciﬁc tasks and domains with training data – Customize an Amazon Bedrock foundation model by providing training data for ﬁne-tuning or continued-pretraining in order to adjust a model's parameters and improve its performance on speciﬁc tasks or in certain domains. • Improve your FM-based application's eﬃciency and output – Purchase Provisioned Throughput for a foundation model in order to run inference on models more eﬃciently and at discounted rates. • Determine
sentences: How can you access Amazon API Gateway?, What allocation strategy is recommended for Spot best practice?, What is the purpose of adapting models to specific tasks and domains?, source_sentence: you create the example application, Elastic Beanstalk creates the following resources: • EC2 instance – An Amazon EC2 virtual machine conﬁgured to run web apps on the platform you selected. Every platform runs a diﬀerent set of software, conﬁguration ﬁles, and scripts to support a speciﬁc language version, framework, web container, or combination thereof. Most platforms use either Apache or nginx as a reverse proxy to forward web traﬃc to your web app, serve static assets, and generate access and error logs. You can connect to your Amazon EC2 instances to view conﬁguration and logs. Step 2 - Deploy your application 10 AWS Elastic Beanstalk Developer Guide • Instance security group – An Amazon EC2 security group will be created
sentences: What allows a client to securely access private API resources inside a VPC?, What resources does Elastic Beanstalk create when you create the example application?, Where can you find more information about using ACLs?, source_sentence: change). Saved conﬁguration A saved conﬁguration is a template that you can use as a starting point for creating unique environment conﬁgurations. You can create and modify saved conﬁgurations, and apply them to environments, using the Elastic Beanstalk console, EB CLI, AWS CLI, or API. The API and the AWS CLI refer to saved conﬁgurations as conﬁguration templates. Platform A platform is a combination of an operating system, programming language runtime, web server, application server, and Elastic Beanstalk components. You design and target your web application to a platform. Elastic Beanstalk provides a variety of platforms on which you can build your applications. For details, see Elastic Beanstalk platforms. Elastic Beanstalk web server environments The following diagram shows an example
sentences: What can you grant other people permission to do in your AWS account?, How can the fleet request be deleted?, What do the API and the AWS CLI refer to saved configurations as?
pipeline_tag: sentence-similarity
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
model-index: name: Embed AWS Docs
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.002717391304347826
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.22554347826086957
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.5081521739130435
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6983695652173914
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.002717391304347826
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.07518115942028984
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.10163043478260869
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.06983695652173912
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.002717391304347826
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.22554347826086957
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.5081521739130435
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6983695652173914
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.30319890292610013
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.18024823153899258
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.1931834404953386
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.17119565217391305
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.49728260869565216
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6766304347826086
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.057065217391304345
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.09945652173913044
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.06766304347826087
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.17119565217391305
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.49728260869565216
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6766304347826086
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2883913649143213
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.16803291062801948
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.18227351655190474
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.008152173913043478
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.1875
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.4945652173913043
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.6657608695652174
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.008152173913043478
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.06249999999999999
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.09891304347826087
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.06657608695652174
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.008152173913043478
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.1875
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.4945652173913043
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6657608695652174
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.28990281751237307
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.17309459109730865
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.18770616923880445
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.002717391304347826
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.1875
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.44021739130434784
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.5842391304347826
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.002717391304347826
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.0625
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.08804347826086956
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.058423913043478264
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.002717391304347826
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.1875
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.44021739130434784
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5842391304347826
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.25437162359674753
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.151576518288475
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.16929779832410816
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.008152173913043478
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.15760869565217392
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.33695652173913043
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.4782608695652174
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.008152173913043478
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.05253623188405797
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.0673913043478261
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.047826086956521734
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.008152173913043478
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.15760869565217392
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.33695652173913043
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.4782608695652174
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2095240678369969
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.12627782091097317
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.14429296766748773
name: Cosine Map@100
verified: no
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Created: 2025-08-16 02:00:54