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| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| base_model_path: ashaar-from-scratch-with-spaces-no-tatweel-epochs-75 | |
| batch_size: 64 | |
| data_directory: data | |
| data_separator: '|' | |
| data_type: CA_MSA | |
| device: cuda | |
| diacritics_separator: '*' | |
| error_rates_n_batches: 10000 | |
| evaluate_frequency: 50000000 | |
| evaluate_with_error_rates_frequency: 1000 | |
| freeze: true | |
| is_data_preprocessed: false | |
| learning_rate: 0.001 | |
| load_test_data: false | |
| load_training_data: true | |
| load_validation_data: true | |
| log_directory: logs/log_dir_cls_9_test | |
| max_eval_batches: -1 | |
| max_len: 600 | |
| max_sen_len: 256 | |
| max_steps: 5000 | |
| model_save_frequency: 5000 | |
| n_layer: 9 | |
| n_predicted_text_tensorboard: 10 | |
| n_steps_avg_losses: | |
| - 100 | |
| - 500 | |
| - 1000 | |
| - 5000 | |
| n_test_examples: null | |
| n_training_examples: null | |
| n_validation_examples: null | |
| optimizer_type: Adam | |
| session_name: base | |
| test_file_name: test.csv | |
| test_model_path: null | |
| text_cleaner: valid_arabic_cleaners | |
| text_encoder: ArabicEncoderWithStartSymbol | |
| train_plotting_frequency: 50000000 | |
| train_resume_model_path: null | |
| use_decay: true | |
| use_lstm: false | |
| use_mixed_precision: false | |
| weight_decay: 0.0 | |