Data Source: oci_ai_language_model_evaluation_results

This data source provides the list of Model Evaluation Results in Oracle Cloud Infrastructure Ai Language service.

Get a (paginated) list of evaluation results for a given model.

Example Usage

data "oci_ai_language_model_evaluation_results" "test_model_evaluation_results" {
	#Required
	model_id = oci_ai_language_model.test_model.id
}

Argument Reference

The following arguments are supported:

• model_id - (Required) unique model OCID.

Attributes Reference

The following attributes are exported:

• evaluation_result_collection - The list of evaluation_result_collection.

ModelEvaluationResult Reference

The following attributes are exported:

• items - List of model evaluation analysis
  • defined_tags - Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: {"foo-namespace.bar-key": "value"}
  • freeform_tags - Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: {"bar-key": "value"}
  • location - For CSV format location is rowId(1 is header) and for JSONL location is jsonL line sequence(1 is metadata)
  • model_type - Model type
  • predicted_entities - List of true(actual) entities in test data for NER model
    • length - Length of text
    • offset - Starting index on text.
    • type - Type of entity text like PER, LOC, GPE, NOPE etc.
  • predicted_labels - List of predicted labels by custom multi class or multi label TextClassification model
  • record - For CSV format location is rowId(1 is header) and for JSONL location is jsonL line sequence(1 is metadata)
  • true_entities - List of true(actual) entities in test data for NER model
    • length - Length of text
    • offset - Starting index on text.
    • type - Type of entity text like PER, LOC, GPE, NOPE etc.
  • true_labels - List of true(actual) labels in test data for multi class or multi label TextClassification