String jobName
Enter a unique name for the fine-tuning job.
String customModelName
Enter a name for the custom model.
String roleArn
The Amazon Resource Name (ARN) of an IAM role that Amazon Bedrock can assume to perform tasks on your behalf. For
example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write
model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the
iam:PassRole permission.
String clientRequestToken
Unique token value that you can provide. The GetModelCustomizationJob response includes the same token value.
String baseModelIdentifier
Name of the base model.
String customizationType
The customization type.
String customModelKmsKeyId
The custom model is encrypted at rest using this key.
List<E> jobTags
Assign tags to the job.
List<E> customModelTags
Assign tags to the custom model.
TrainingDataConfig trainingDataConfig
Information about the training dataset.
ValidationDataConfig validationDataConfig
Information about the validation dataset.
OutputDataConfig outputDataConfig
S3 location for the output data.
Map<K,V> hyperParameters
Parameters related to tuning the model.
VpcConfig vpcConfig
VPC configuration (optional). Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
String jobArn
ARN of the fine tuning job
String clientRequestToken
Unique token value that you can provide. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error.
Integer modelUnits
Number of model units to allocate.
String provisionedModelName
Unique name for this provisioned throughput.
String modelId
Name or ARN of the model to associate with this provisioned throughput.
String commitmentDuration
Commitment duration requested for the provisioned throughput.
List<E> tags
Tags to associate with this provisioned throughput.
String provisionedModelArn
The ARN for this provisioned throughput.
String modelArn
The ARN of the custom model.
String modelName
The name of the custom model.
Date creationTime
Creation time of the model.
String baseModelArn
The base model ARN.
String baseModelName
The base model name.
String customizationType
Specifies whether to carry out continued pre-training of a model or whether to fine-tune it. For more information, see Custom models.
String modelIdentifier
Name of the model to delete.
String provisionedModelId
The ARN or name of the provisioned throughput.
String modelArn
The model ARN.
String modelId
The model identifier.
String modelName
The model name.
String providerName
he model's provider name.
List<E> inputModalities
The input modalities that the model supports.
List<E> outputModalities
The output modalities that the model supports.
Boolean responseStreamingSupported
Indicates whether the model supports streaming.
List<E> customizationsSupported
The customization that the model supports.
List<E> inferenceTypesSupported
The inference types that the model supports.
FoundationModelLifecycle modelLifecycle
Contains details about whether a model version is available or deprecated
String status
Specifies whether a model version is available (ACTIVE) or deprecated (LEGACY.
String modelArn
The ARN of the foundation model.
String modelId
The model Id of the foundation model.
String modelName
The name of the model.
String providerName
The model's provider name.
List<E> inputModalities
The input modalities that the model supports.
List<E> outputModalities
The output modalities that the model supports.
Boolean responseStreamingSupported
Indicates whether the model supports streaming.
List<E> customizationsSupported
Whether the model supports fine-tuning or continual pre-training.
List<E> inferenceTypesSupported
The inference types that the model supports.
FoundationModelLifecycle modelLifecycle
Contains details about whether a model version is available or deprecated.
String modelIdentifier
Name or ARN of the custom model.
String modelArn
ARN associated with this model.
String modelName
Model name associated with this model.
String jobName
Job name associated with this model.
String jobArn
Job ARN associated with this model.
String baseModelArn
ARN of the base model.
String customizationType
The type of model customization.
String modelKmsKeyArn
The custom model is encrypted at rest using this key.
Map<K,V> hyperParameters
Hyperparameter values associated with this model.
TrainingDataConfig trainingDataConfig
Information about the training dataset.
ValidationDataConfig validationDataConfig
OutputDataConfig outputDataConfig
Output data configuration associated with this custom model.
TrainingMetrics trainingMetrics
The training metrics from the job creation.
List<E> validationMetrics
The validation metrics from the job creation.
Date creationTime
Creation time of the model.
String modelIdentifier
The model identifier.
FoundationModelDetails modelDetails
Information about the foundation model.
String jobIdentifier
Identifier for the customization job.
String jobArn
The ARN of the customization job.
String jobName
The name of the customization job.
String outputModelName
The name of the output model.
String outputModelArn
The ARN of the output model.
String clientRequestToken
The token that you specified in the CreateCustomizationJob request.
String roleArn
The ARN of the IAM role.
String status
The status of the job. A successful job transitions from in-progress to completed when the output model is ready to use. If the job failed, the failure message contains information about why the job failed.
String failureMessage
Information about why the job failed.
Date creationTime
Time that the resource was created.
Date lastModifiedTime
Time that the resource was last modified.
Date endTime
Time that the resource transitioned to terminal state.
String baseModelArn
ARN of the base model.
Map<K,V> hyperParameters
The hyperparameter values for the job. For information about hyperparameters for specific models, see Guidelines for model customization.
TrainingDataConfig trainingDataConfig
ValidationDataConfig validationDataConfig
OutputDataConfig outputDataConfig
Output data configuration
String customizationType
The type of model customization.
String outputModelKmsKeyArn
The custom model is encrypted at rest using this key.
TrainingMetrics trainingMetrics
List<E> validationMetrics
The loss metric for each validator that you provided in the createjob request.
VpcConfig vpcConfig
VPC configuration for the custom model job.
LoggingConfig loggingConfig
The current configuration values.
String provisionedModelId
The ARN or name of the provisioned throughput.
Integer modelUnits
The current number of model units requested to be available for this provisioned throughput.
Integer desiredModelUnits
The desired number of model units that was requested to be available for this provisioned throughput.
String provisionedModelName
The name of the provisioned throughput.
String provisionedModelArn
The ARN of the provisioned throughput.
String modelArn
The ARN or name of the model associated with this provisioned throughput.
String desiredModelArn
The ARN of the new model to asssociate with this provisioned throughput.
String foundationModelArn
ARN of the foundation model.
String status
Status of the provisioned throughput.
Date creationTime
The timestamp of the creation time for this provisioned throughput.
Date lastModifiedTime
The timestamp of the last modified time of this provisioned throughput.
String failureMessage
Failure message for any issues that the create operation encounters.
String commitmentDuration
Commitment duration of the provisioned throughput.
Date commitmentExpirationTime
Commitment expiration time for the provisioned throughput.
Date creationTimeBefore
Return custom models created before the specified time.
Date creationTimeAfter
Return custom models created after the specified time.
String nameContains
Return custom models only if the job name contains these characters.
String baseModelArnEquals
Return custom models only if the base model ARN matches this parameter.
String foundationModelArnEquals
Return custom models only if the foundation model ARN matches this parameter.
Integer maxResults
Maximum number of results to return in the response.
String nextToken
Continuation token from the previous response, for Amazon Bedrock to list the next set of results.
String sortBy
The field to sort by in the returned list of models.
String sortOrder
The sort order of the results.
Date creationTimeAfter
Return customization jobs created after the specified time.
Date creationTimeBefore
Return customization jobs created before the specified time.
String statusEquals
Return customization jobs with the specified status.
String nameContains
Return customization jobs only if the job name contains these characters.
Integer maxResults
Maximum number of results to return in the response.
String nextToken
Continuation token from the previous response, for Amazon Bedrock to list the next set of results.
String sortBy
The field to sort by in the returned list of jobs.
String sortOrder
The sort order of the results.
Date creationTimeAfter
Return provisioned capacities created after the specified time.
Date creationTimeBefore
Return provisioned capacities created before the specified time.
String statusEquals
Return the list of provisioned capacities that match the specified status.
String modelArnEquals
Return the list of provisioned capacities where their model ARN is equal to this parameter.
String nameContains
Return the list of provisioned capacities if their name contains these characters.
Integer maxResults
THe maximum number of results to return in the response.
String nextToken
Continuation token from the previous response, for Amazon Bedrock to list the next set of results.
String sortBy
The field to sort by in the returned list of provisioned capacities.
String sortOrder
The sort order of the results.
String resourceARN
The ARN of the resource.
CloudWatchConfig cloudWatchConfig
CloudWatch logging configuration.
S3Config s3Config
S3 configuration for storing log data.
Boolean textDataDeliveryEnabled
Set to include text data in the log delivery.
Boolean imageDataDeliveryEnabled
Set to include image data in the log delivery.
Boolean embeddingDataDeliveryEnabled
Set to include embeddings data in the log delivery.
String jobArn
ARN of the customization job.
String baseModelArn
ARN of the base model.
String jobName
Name of the customization job.
String status
Status of the customization job.
Date lastModifiedTime
Time that the customization job was last modified.
Date creationTime
Creation time of the custom model.
Date endTime
Time that the customization job ended.
String customModelArn
ARN of the custom model.
String customModelName
Name of the custom model.
String customizationType
Specifies whether to carry out continued pre-training of a model or whether to fine-tune it. For more information, see Custom models.
String s3Uri
The S3 URI where the output data is stored.
String provisionedModelName
The name of the provisioned throughput.
String provisionedModelArn
The ARN of the provisioned throughput.
String modelArn
The ARN of the model associated with this provisioned throughput.
String desiredModelArn
Desired model ARN.
String foundationModelArn
Foundation model ARN.
Integer modelUnits
The number of model units allocated.
Integer desiredModelUnits
Desired model units.
String status
Status of the provisioned throughput.
String commitmentDuration
Commitment duration for the provisioned throughput.
Date commitmentExpirationTime
Commitment expiration time for the provisioned throughput.
Date creationTime
The time that this provisioned throughput was created.
Date lastModifiedTime
The time that this provisioned throughput was last modified.
LoggingConfig loggingConfig
The logging configuration values to set.
String jobIdentifier
Job identifier of the job to stop.
String resourceName
The name of the resource with too many tags.
String s3Uri
The S3 URI where the training data is stored.
Float trainingLoss
Loss metric associated with the custom job.
String provisionedModelId
The ARN or name of the provisioned throughput to update.
String desiredProvisionedModelName
The new name for this provisioned throughput.
String desiredModelId
The ARN of the new model to associate with this provisioned throughput.
String s3Uri
The S3 URI where the validation data is stored.
Float validationLoss
The validation loss associated with this validator.
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