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tangroucorn77
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corn

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train · 1 rows

run_name string	run_id int64	model_name_or_path string	dataset string	token_preprocessing bool	source_prefix string	schema_serialization_type string	schema_serialization_randomized bool	schema_serialization_with_db_id bool	schema_serialization_with_db_content bool	normalize_query bool	target_with_db_id bool	output_dir string	cache_dir string	do_train bool	do_eval bool	fp16 bool	num_train_epochs int64	per_device_train_batch_size int64	per_device_eval_batch_size int64	gradient_accumulation_steps int64	label_smoothing_factor float64	learning_rate float64	adafactor bool	adam_eps float64	lr_scheduler_type string	warmup_ratio float64	warmup_steps int64	seed int64	report_to sequence	logging_strategy string	logging_first_step bool	logging_steps int64	load_best_model_at_end bool	metric_for_best_model string	greater_is_better bool	save_total_limit int64	save_steps int64	evaluation_strategy string	eval_steps int64	predict_with_generate bool	num_beams int64	num_beam_groups int64	use_picard bool	input_max_length int64
five	20	/home/zhangc/fyjmy/pretrained/t5-base	spider	true		peteshaw	false	true	true	true	false	./train	./natsql_base	true	true	false	3,072	16	16	410	0	0.0001	true	0.000001	constant	0	0	1	[ "wandb" ]	steps	true	4	true	exact_match	true	128	50	steps	50	true	1	1	false	1,024

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