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] |
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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