ChatModelMetrics¶

class oci.generative_ai.models.ChatModelMetrics(**kwargs)¶

Bases: oci.generative_ai.models.model_metrics.ModelMetrics

The chat model metrics of the fine-tuning process.

Attributes

`MODEL_METRICS_TYPE_CHAT_MODEL_METRICS`	str(object=’’) -> str
`MODEL_METRICS_TYPE_TEXT_GENERATION_MODEL_METRICS`	str(object=’’) -> str
`final_accuracy`	Gets the final_accuracy of this ChatModelMetrics.
`final_loss`	Gets the final_loss of this ChatModelMetrics.
`model_metrics_type`	[Required] Gets the model_metrics_type of this ModelMetrics.

Methods

`__init__`(**kwargs)	Initializes a new ChatModelMetrics object with values from keyword arguments.
`get_subtype`(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

MODEL_METRICS_TYPE_CHAT_MODEL_METRICS = 'CHAT_MODEL_METRICS'¶

MODEL_METRICS_TYPE_TEXT_GENERATION_MODEL_METRICS = 'TEXT_GENERATION_MODEL_METRICS'¶

__init__(**kwargs)¶

Initializes a new ChatModelMetrics object with values from keyword arguments. The default value of the model_metrics_type attribute of this class is CHAT_MODEL_METRICS and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:

model_metrics_type (str) – The value to assign to the model_metrics_type property of this ChatModelMetrics. Allowed values for this property are: “TEXT_GENERATION_MODEL_METRICS”, “CHAT_MODEL_METRICS”
final_accuracy (float) – The value to assign to the final_accuracy property of this ChatModelMetrics.
final_loss (float) – The value to assign to the final_loss property of this ChatModelMetrics.

final_accuracy¶

Gets the final_accuracy of this ChatModelMetrics. Fine-tuned model accuracy.

Returns:	The final_accuracy of this ChatModelMetrics.
Return type:	float

final_loss¶

Gets the final_loss of this ChatModelMetrics. Fine-tuned model loss.

Returns:	The final_loss of this ChatModelMetrics.
Return type:	float

static get_subtype(object_dictionary)¶: Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

model_metrics_type¶

[Required] Gets the model_metrics_type of this ModelMetrics. The type of the model metrics. Each type of model can expect a different set of model metrics.

Allowed values for this property are: “TEXT_GENERATION_MODEL_METRICS”, “CHAT_MODEL_METRICS”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns:	The model_metrics_type of this ModelMetrics.
Return type:	str