| Column Name | Column Data Type |
|---|
model_name Required Input Column
The name of the custom language model you want information about. Model names are case sensitive. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
language_model
Provides information about the specified custom language model. This parameter also shows if the base language model you used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model. If you tried to create a new custom language model and the request wasn't successful, you can use this DescribeLanguageModel to help identify the reason for this failure. | STRUCT(
"model_name" VARCHAR,
"create_time" TIMESTAMP_S,
"last_modified_time" TIMESTAMP_S,
"language_code" VARCHAR,
"base_model_name" VARCHAR,
"model_status" VARCHAR,
"upgrade_availability" BOOLEAN,
"failure_reason" VARCHAR,
"input_data_config" STRUCT(
"s3_uri" VARCHAR,
"tuning_data_s3_uri" VARCHAR,
"data_access_role_arn" VARCHAR
)
) |
Show child fields- language_model.base_model_name
The Amazon Transcribe standard language model, or base model, used to create your custom language model. - language_model.create_time
The date and time the specified custom language model was created. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022. - language_model.failure_reason
If ModelStatus is FAILED, FailureReason contains information about why the custom language model request failed. See also: Common Errors. - language_model.input_data_config
The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data. Show child fields- language_model.input_data_config.data_access_role_arn
The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs. - language_model.input_data_config.s3_uri
The Amazon S3 location (URI) of the text files you want to use to train your custom language model. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-model-training-data/ - language_model.input_data_config.tuning_data_s3_uri
The Amazon S3 location (URI) of the text files you want to use to tune your custom language model. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/
- language_model.language_code
The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data. For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical. - language_model.last_modified_time
The date and time the specified custom language model was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022. - language_model.model_name
A unique name, chosen by you, for your custom language model. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. - language_model.model_status
The status of the specified custom language model. When the status displays as COMPLETED the model is ready for use. - language_model.upgrade_availability
Shows if a more current base model is available for use with the specified custom language model. If false, your custom language model is using the most up-to-date base model. If true, there is a newer base model available than the one your language model is using. Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
|