[training_args]
output_dir="/Users/andrewmayes/Openclassroom/CanineNet/code/"
evaluation_strategy="steps"
save_strategy="steps"
learning_rate=5e-5
#per_device_train_batch_size=32 # 512
#per_device_eval_batch_size=32 # 512
# num_train_epochs=5,
eval_delay=0 # 50
eval_steps=0.01
#eval_accumulation_steps
gradient_accumulation_steps=4
gradient_checkpointing=false#true
optim="adafactor"
max_steps=1000 # 100
#logging_dir=""
#log_level="error"
load_best_model_at_end=true
metric_for_best_model="f1"
greater_is_better=true
#use_mps_device=true
logging_steps=0.01
save_steps=0.01
#auto_find_batch_size=true
report_to="mlflow"
save_total_limit=2
#hub_model_id="amaye15/SwinV2-Base-Document-Classifier"