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# -*- coding: utf-8 -*-
"""
@author:XuMing([email protected])
@description: refer https://github.com/ThilinaRajapakse/simpletransformers
"""
import sys
from multiprocessing import cpu_count
global_args = {
"adam_epsilon": 1e-8,
"best_model_dir": "outputs/best_model",
"cache_dir": "cache_dir/",
"config": {},
"do_lower_case": False,
"early_stopping_consider_epochs": False,
"early_stopping_delta": 0,
"early_stopping_metric": "eval_loss",
"early_stopping_metric_minimize": True,
"early_stopping_patience": 3,
"encoding": None,
"eval_batch_size": 8,
"evaluate_during_training": False,
"evaluate_during_training_silent": True,
"evaluate_during_training_steps": 2000,
"evaluate_during_training_verbose": False,
"fp16": True,
"gradient_accumulation_steps": 1,
"learning_rate": 4e-5,
"local_rank": -1,
"logging_steps": 50,
"manual_seed": None,
"max_grad_norm": 1.0,
"max_seq_length": 128,
"multiprocessing_chunksize": 500,
"n_gpu": 1,
"no_cache": False,
"no_save": False,
"num_train_epochs": 1,
"output_dir": "outputs/",
"overwrite_output_dir": False,
"process_count": cpu_count() - 2 if cpu_count() > 2 else 1,
"reprocess_input_data": True,
"save_best_model": True,
"save_eval_checkpoints": True,
"save_model_every_epoch": True,
"save_steps": 2000,
"save_optimizer_and_scheduler": True,
"silent": False,
"tensorboard_dir": None,
"train_batch_size": 8,
"use_cached_eval_features": False,
"use_early_stopping": False,
"use_multiprocessing": False,
"wandb_kwargs": {},
"wandb_project": None,
"warmup_ratio": 0.06,
"warmup_steps": 0,
"weight_decay": 0,
}
if sys.platform == "win32":
global_args["process_count"] = min(global_args["process_count"], 61)
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