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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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BERT Base Cased

By:
Amazon Web Services
Latest Version:
GPU
This is a Sentence Pair Classification model built upon a Text Embedding model from TensorFlow Hub
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    Product Overview

    This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/2 ). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input pair of sentences. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

    Key Data

    Version
    GPU
    Usage Instructions
    Release Notes
    Show other versions
    By
    Amazon Web Services
    Categories
    Text
    Natural Language Processing
    Classification-Text
    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$0.00/hr

    running on ml.g4dn.xlarge

    Model Batch Transform$0.00/hr

    running on ml.p2.xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.736/host/hr

    running on ml.g4dn.xlarge

    SageMaker Batch Transform$1.125/host/hr

    running on ml.p2.xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.g4dn.xlarge
    Vendor Recommended
    $0.00
    ml.p2.xlarge
    $0.00
    ml.p3.2xlarge
    $0.00

    Usage Information

    Model input and output details

    Input

    Summary

    The input is a pair of paragraphs

    Input MIME type
    application/list-text
    Sample input data

    Output

    Summary

    The output is a JSON object containing the logits corresponding to the classes "entailment" and "no-entailment".

    Output MIME type
    application/json
    Sample output data
    Expand all output descriptions
    Field name
    Logits
    Description
    Predicted logits of entailment and no-entailment. The logits must be passed through a softmax operation to recover probabilities.
    Always returned
    Yes
    Data type
    Continuous (Float)
    Range

    Sample notebook

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Learn More

    Refund Policy

    None

    Customer Reviews

    Md. Rezowan T.
    BERT Base Cased review
    Dec 9, 2021
    What do you like best about the product?As it considers case of data, so, working with case sensitive
    things it gives better results.What do you dislike about the product?It required more training time than
    Bert uncased.What problems is the product solving and how is that benefiting you?We we... Read more    ... Read more
    Anupam R.
    Amazing and most advanced platform for doing quality analysis.
    Dec 8, 2021
    What do you like best about the product?The best thing is to build a Pytorch dataset by tokenisation
    and padding. Very cleverly designed platform for preprocessing data.What do you dislike about the
    product?The one thing I did not like was for evaluation of the model. Sometimes it was sh... Read more    ... Read more
    View all