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PatchedTrainingCreate

Properties

Name Type Description Notes
id str [optional] [readonly]
project_name str [optional]
dataset str [optional]
base_model_name str [optional]
provider Provider63aEnum [optional]
text_column str [optional]
learning_rate float [optional]
batch_size int [optional]
num_epochs int [optional]
block_size int [optional]
warmup_ratio float [optional]
lora_r int [optional]
lora_alpha int [optional]
lora_dropout float [optional]
weight_decay float [optional]
gradient_accumulation int [optional]
use_peft bool [optional]
use_fp16 bool [optional]
use_int4 bool [optional]
push_to_hub bool [optional]
repo_id str [optional]
preprocess_dataset bool [optional]
prompt_column str [optional]
prompt_prefix str [optional]
prompt_suffix str [optional]
response_prefix str [optional]
date_created datetime [optional] [readonly]
last_modified datetime [optional] [readonly]

Example

from iblai.models.patched_training_create import PatchedTrainingCreate

# TODO update the JSON string below
json = "{}"
# create an instance of PatchedTrainingCreate from a JSON string
patched_training_create_instance = PatchedTrainingCreate.from_json(json)
# print the JSON string representation of the object
print(PatchedTrainingCreate.to_json())

# convert the object into a dict
patched_training_create_dict = patched_training_create_instance.to_dict()
# create an instance of PatchedTrainingCreate from a dict
patched_training_create_from_dict = PatchedTrainingCreate.from_dict(patched_training_create_dict)

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