Spaces:

arbml
/

Ashaar

Runtime error

App Files Files Community

Ashaar / test.yml

Zaid

run on cpu

66368bd 12 months ago

raw history blame contribute delete

No virus

1.86 kB

	session_name: base

	data_directory: "data"
	data_type: "ashaar_proc"
	log_directory: "deep-learning-models/log_dir_ashaar"
	load_training_data: true
	load_test_data: false
	load_validation_data: true
	n_training_examples: null # null load all training examples, good for fast loading
	n_test_examples: null # null load all test examples
	n_validation_examples: null # null load all validation examples
	test_file_name: "test.csv"
	is_data_preprocessed: false # The data file is organized as (original text \| text \| diacritics)
	data_separator: '\|' # Required if the data already processed
	diacritics_separator: '*' # Required if the data already processed
	text_encoder: ArabicEncoderWithStartSymbol
	text_cleaner: valid_arabic_cleaners # a white list that uses only Arabic letters, punctuations, and a space
	max_len: 600 # sentences larger than this size will not be used
	max_sen_len: null

	max_steps: 10000
	learning_rate: 0.001
	batch_size: 32
	adam_beta1: 0.9
	adam_beta2: 0.999
	use_decay: true
	weight_decay: 0.0
	embedding_dim: 256
	use_prenet: false
	prenet_sizes: [512, 256]
	cbhg_projections: [128, 256]
	cbhg_filters: 16
	cbhg_gru_units: 256
	post_cbhg_layers_units: [256, 256]
	post_cbhg_use_batch_norm: true

	use_mixed_precision: false
	optimizer_type: Adam
	device: cpu

	# LOGGING
	evaluate_frequency: 50000000
	max_eval_batches: 100
	evaluate_with_error_rates_frequency: 1000
	n_predicted_text_tensorboard: 10 # To be written to the tensorboard
	model_save_frequency: 5000
	train_plotting_frequency: 50000000 # No plotting for this model
	n_steps_avg_losses: [100, 500, 1_000, 5_000] # command line display of average loss values for the last n steps
	error_rates_n_batches: 10000 # if calculating error rate is slow, then you can specify the number of batches to be calculated

	test_model_path: null # load the last saved model
	train_resume_model_path: null # load last saved model