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""" | |
All the class return types are present here. | |
""" | |
from dataclasses import dataclass | |
from pathlib import Path | |
class DataIngestionConfig: | |
""" | |
The return type of the data ingestion config function. | |
""" | |
dataset_name: str | |
arrow_dataset_dir: str | |
class DataValidationConfig: | |
""" | |
Return type of the data validation config function. | |
""" | |
root_dir: str | |
status_file: str | |
all_required_folders: list | |
class DataTransformationConfig: | |
""" | |
Return type of the data transformation config function. | |
""" | |
root_dir: str | |
data_path: str | |
tokenizer_name: str | |
class ModelTrainerConfig: | |
""" | |
Return type of the model trainer config function. | |
""" | |
root_dir: str | |
data_path: str | |
model_ckpt: str | |
model_path: str | |
tokenizer_path: str | |
num_train_epochs: int | |
warmup_steps: int | |
per_device_train_batch_size: int | |
weight_decay: float | |
logging_steps: int | |
evaluation_strategy: str | |
eval_steps: int | |
save_steps: float | |
gradient_accumulation_steps: int | |
class ModelEvaluationConfig: | |
""" | |
Return type of the model evaluation config function. | |
""" | |
root_dir: str | |
data_path: str | |
model_path: str | |
tokenizer_path: str | |
metric_file_name: str | |
hub_model_name: str | |