o
    i                     @  sl   d Z ddlmZ ddlmZmZmZmZmZ ddl	m
Z
 ddlmZmZ G dd deZG dd	 d	eZd
S )zACode generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.    )annotations)	BaseModelNullableOptionalNullableUNSETUNSET_SENTINEL)model_serializer)NotRequired	TypedDictc                   @  s*   e Zd ZU dZded< ded< ded< dS )MetricOutTypedDictMetrics at the step number during the fine-tuning job. Use these metrics to assess if the training is going smoothly (loss should decrease, token accuracy should increase).zNotRequired[Nullable[float]]
train_loss
valid_lossvalid_mean_token_accuracyN)__name__
__module____qualname____doc____annotations__ r   r   `/var/www/html/karishye-ai-python/venv/lib/python3.10/site-packages/mistralai/models/metricout.pyr   	   s
   
 r   c                   @  sH   e Zd ZU dZeZded< eZded< eZded< e	dddd	 Z
d
S )	MetricOutr   zOptionalNullable[float]r   r   r   wrap)modec                 C  s   g d}g d}g }|| }i }t | j D ]D\}}|jp|}	||	}
||	d  |	|v o2|	|v }| j|hp=|	|v }|
d urK|
tkrK|
||	< q|
tkr[|	|vsW|r[|r[|
||	< q|S )N)r   r   r   )	typemodel_fieldsitemsaliasgetpop__pydantic_fields_set__intersectionr   )selfhandleroptional_fieldsnullable_fieldsnull_default_fields
serializedmnfkvaloptional_nullableis_setr   r   r   serialize_model   s(   


zMetricOut.serialize_modelN)r   r   r   r   r   r   r   r   r   r   r/   r   r   r   r   r      s   
 r   N)r   
__future__r   mistralai.typesr   r   r   r   r   pydanticr   typing_extensionsr	   r
   r   r   r   r   r   r   <module>   s    