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Training_dt2102-1815.log
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Training_dt2102-1815.log
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INFO : Starting training...
INFO : batch_size=16, learning_rate=0.0005
INFO : class_names = ['accept_reservations', 'account_blocked', 'alarm', 'application_status', 'apr', 'are_you_a_bot', 'balance', 'bill_balance', 'bill_due', 'book_flight', 'book_hotel', 'calculator', 'calendar', 'calendar_update', 'calories', 'cancel', 'cancel_reservation', 'car_rental', 'card_declined', 'carry_on', 'change_accent', 'change_ai_name', 'change_language', 'change_speed', 'change_user_name', 'change_volume', 'confirm_reservation', 'cook_time', 'credit_limit', 'credit_limit_change', 'credit_score', 'current_location', 'damaged_card', 'date', 'definition', 'direct_deposit', 'directions', 'distance', 'do_you_have_pets', 'exchange_rate', 'expiration_date', 'find_phone', 'flight_status', 'flip_coin', 'food_last', 'freeze_account', 'fun_fact', 'gas', 'gas_type', 'goodbye', 'greeting', 'how_busy', 'how_old_are_you', 'improve_credit_score', 'income', 'ingredient_substitution', 'ingredients_list', 'insurance', 'insurance_change', 'interest_rate', 'international_fees', 'international_visa', 'jump_start', 'last_maintenance', 'lost_luggage', 'make_call', 'maybe', 'meal_suggestion', 'meaning_of_life', 'measurement_conversion', 'meeting_schedule', 'min_payment', 'mpg', 'new_card', 'next_holiday', 'next_song', 'no', 'nutrition_info', 'oil_change_how', 'oil_change_when', 'order', 'order_checks', 'order_status', 'pay_bill', 'payday', 'pin_change', 'play_music', 'plug_type', 'pto_balance', 'pto_request', 'pto_request_status', 'pto_used', 'recipe', 'redeem_rewards', 'reminder', 'reminder_update', 'repeat', 'replacement_card_duration', 'report_fraud', 'report_lost_card', 'reset_settings', 'restaurant_reservation', 'restaurant_reviews', 'restaurant_suggestion', 'rewards_balance', 'roll_dice', 'rollover_401k', 'routing', 'schedule_maintenance', 'schedule_meeting', 'share_location', 'shopping_list', 'shopping_list_update', 'smart_home', 'spelling', 'spending_history', 'sync_device', 'taxes', 'tell_joke', 'text', 'thank_you', 'time', 'timer', 'timezone', 'tire_change', 'tire_pressure', 'todo_list', 'todo_list_update', 'traffic', 'transactions', 'transfer', 'translate', 'travel_alert', 'travel_notification', 'travel_suggestion', 'uber', 'update_playlist', 'user_name', 'vaccines', 'w2', 'weather', 'what_are_your_hobbies', 'what_can_i_ask_you', 'what_is_your_name', 'what_song', 'where_are_you_from', 'whisper_mode', 'who_do_you_work_for', 'who_made_you', 'yes']
INFO : ****** Current epoch: 1 ******
INFO : Training sample: 6000/ 15000 ...
INFO : Training sample: 12000/ 15000 ...
INFO : Training sample: 15000/ 15000 ...
INFO : loss=5.02 ; accuracy=0.007
INFO : Average F1_score=0.0
INFO : Evaluation
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INFO : Sample: 2400/ 3000 ...
INFO : Sample: 3000/ 3000 ...
INFO : loss=4.51 ; accuracy=0.057
INFO : Average F1_score=0.06
INFO : validation_loss=4.515 ; best_validation_loss=inf
INFO : ****** Current epoch: 2 ******
INFO : Training sample: 6000/ 15000 ...
INFO : Training sample: 12000/ 15000 ...
INFO : Training sample: 15000/ 15000 ...
INFO : loss=4.12 ; accuracy=0.033
INFO : Average F1_score=0.03
INFO : Evaluation
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INFO : Sample: 1800/ 3000 ...
INFO : Sample: 2400/ 3000 ...
INFO : Sample: 3000/ 3000 ...
INFO : loss=3.63 ; accuracy=0.219
INFO : Average F1_score=0.16
INFO : validation_loss=3.627 ; best_validation_loss=4.515
INFO : ****** Current epoch: 3 ******
INFO : Training sample: 6000/ 15000 ...
INFO : Training sample: 12000/ 15000 ...
INFO : Training sample: 15000/ 15000 ...
INFO : loss=2.96 ; accuracy=0.307
INFO : Average F1_score=0.28
INFO : Evaluation
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INFO : Sample: 2400/ 3000 ...
INFO : Sample: 3000/ 3000 ...
INFO : loss=2.51 ; accuracy=0.324
INFO : Average F1_score=0.21
INFO : validation_loss=2.51 ; best_validation_loss=3.627
INFO : ****** Current epoch: 4 ******
INFO : Training sample: 6000/ 15000 ...
INFO : Training sample: 12000/ 15000 ...
INFO : Training sample: 15000/ 15000 ...
INFO : loss=1.88 ; accuracy=0.556
INFO : Average F1_score=0.53
INFO : Evaluation
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INFO : loss=1.75 ; accuracy=0.462
INFO : Average F1_score=0.29
INFO : validation_loss=1.754 ; best_validation_loss=2.51
INFO : ****** Current epoch: 5 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : Training sample: 15000/ 15000 ...
INFO : loss=1.18 ; accuracy=0.718
INFO : Average F1_score=0.71
INFO : Evaluation
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INFO : loss=1.24 ; accuracy=0.623
INFO : Average F1_score=0.39
INFO : validation_loss=1.237 ; best_validation_loss=1.754
INFO : ****** Current epoch: 6 ******
INFO : Training sample: 6000/ 15000 ...
INFO : Training sample: 12000/ 15000 ...
INFO : Training sample: 15000/ 15000 ...
INFO : loss=0.78 ; accuracy=0.816
INFO : Average F1_score=0.81
INFO : Evaluation
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INFO : Sample: 3000/ 3000 ...
INFO : loss=0.89 ; accuracy=0.745
INFO : Average F1_score=0.5
INFO : validation_loss=0.89 ; best_validation_loss=1.237
INFO : ****** Current epoch: 7 ******
INFO : Training sample: 6000/ 15000 ...
INFO : Training sample: 12000/ 15000 ...
INFO : Training sample: 15000/ 15000 ...
INFO : loss=0.55 ; accuracy=0.872
INFO : Average F1_score=0.87
INFO : Evaluation
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INFO : Sample: 3000/ 3000 ...
INFO : loss=0.67 ; accuracy=0.822
INFO : Average F1_score=0.54
INFO : validation_loss=0.669 ; best_validation_loss=0.89
INFO : ****** Current epoch: 8 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : Training sample: 15000/ 15000 ...
INFO : loss=0.4 ; accuracy=0.902
INFO : Average F1_score=0.9
INFO : Evaluation
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INFO : loss=0.53 ; accuracy=0.855
INFO : Average F1_score=0.58
INFO : validation_loss=0.53 ; best_validation_loss=0.669
INFO : ****** Current epoch: 9 ******
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INFO : loss=0.32 ; accuracy=0.922
INFO : Average F1_score=0.92
INFO : Evaluation
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INFO : loss=0.45 ; accuracy=0.879
INFO : Average F1_score=0.61
INFO : validation_loss=0.445 ; best_validation_loss=0.53
INFO : ****** Current epoch: 10 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.26 ; accuracy=0.935
INFO : Average F1_score=0.94
INFO : Evaluation
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INFO : loss=0.39 ; accuracy=0.898
INFO : Average F1_score=0.64
INFO : validation_loss=0.392 ; best_validation_loss=0.445
INFO : ****** Current epoch: 11 ******
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INFO : loss=0.21 ; accuracy=0.946
INFO : Average F1_score=0.95
INFO : Evaluation
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INFO : loss=0.36 ; accuracy=0.908
INFO : Average F1_score=0.67
INFO : validation_loss=0.355 ; best_validation_loss=0.392
INFO : ****** Current epoch: 12 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.18 ; accuracy=0.954
INFO : Average F1_score=0.95
INFO : Evaluation
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INFO : loss=0.33 ; accuracy=0.916
INFO : Average F1_score=0.68
INFO : validation_loss=0.329 ; best_validation_loss=0.355
INFO : ****** Current epoch: 13 ******
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INFO : loss=0.16 ; accuracy=0.961
INFO : Average F1_score=0.96
INFO : Evaluation
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INFO : loss=0.31 ; accuracy=0.917
INFO : Average F1_score=0.68
INFO : validation_loss=0.309 ; best_validation_loss=0.329
INFO : ****** Current epoch: 14 ******
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INFO : loss=0.13 ; accuracy=0.965
INFO : Average F1_score=0.96
INFO : Evaluation
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INFO : loss=0.29 ; accuracy=0.922
INFO : Average F1_score=0.69
INFO : validation_loss=0.293 ; best_validation_loss=0.309
INFO : ****** Current epoch: 15 ******
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INFO : loss=0.12 ; accuracy=0.97
INFO : Average F1_score=0.97
INFO : Evaluation
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INFO : loss=0.28 ; accuracy=0.923
INFO : Average F1_score=0.7
INFO : validation_loss=0.281 ; best_validation_loss=0.293
INFO : ****** Current epoch: 16 ******
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INFO : loss=0.1 ; accuracy=0.974
INFO : Average F1_score=0.97
INFO : Evaluation
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INFO : loss=0.27 ; accuracy=0.929
INFO : Average F1_score=0.72
INFO : validation_loss=0.271 ; best_validation_loss=0.281
INFO : ****** Current epoch: 17 ******
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INFO : loss=0.09 ; accuracy=0.978
INFO : Average F1_score=0.98
INFO : Evaluation
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INFO : loss=0.26 ; accuracy=0.931
INFO : Average F1_score=0.72
INFO : validation_loss=0.263 ; best_validation_loss=0.271
INFO : ****** Current epoch: 18 ******
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INFO : loss=0.08 ; accuracy=0.981
INFO : Average F1_score=0.98
INFO : Evaluation
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INFO : loss=0.26 ; accuracy=0.935
INFO : Average F1_score=0.72
INFO : validation_loss=0.256 ; best_validation_loss=0.263
INFO : ****** Current epoch: 19 ******
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INFO : loss=0.07 ; accuracy=0.984
INFO : Average F1_score=0.98
INFO : Evaluation
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INFO : loss=0.25 ; accuracy=0.936
INFO : Average F1_score=0.73
INFO : validation_loss=0.251 ; best_validation_loss=0.256
INFO : ****** Current epoch: 20 ******
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INFO : loss=0.06 ; accuracy=0.987
INFO : Average F1_score=0.99
INFO : Evaluation
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INFO : loss=0.25 ; accuracy=0.937
INFO : Average F1_score=0.73
INFO : validation_loss=0.246 ; best_validation_loss=0.251
INFO : ****** Current epoch: 21 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.05 ; accuracy=0.989
INFO : Average F1_score=0.99
INFO : Evaluation
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INFO : loss=0.24 ; accuracy=0.939
INFO : Average F1_score=0.74
INFO : validation_loss=0.243 ; best_validation_loss=0.246
INFO : ****** Current epoch: 22 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.05 ; accuracy=0.99
INFO : Average F1_score=0.99
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INFO : loss=0.24 ; accuracy=0.941
INFO : Average F1_score=0.75
INFO : validation_loss=0.24 ; best_validation_loss=0.243
INFO : ****** Current epoch: 23 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.04 ; accuracy=0.992
INFO : Average F1_score=0.99
INFO : Evaluation
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INFO : loss=0.24 ; accuracy=0.941
INFO : Average F1_score=0.75
INFO : validation_loss=0.237 ; best_validation_loss=0.24
INFO : ****** Current epoch: 24 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.04 ; accuracy=0.993
INFO : Average F1_score=0.99
INFO : Evaluation
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INFO : loss=0.23 ; accuracy=0.942
INFO : Average F1_score=0.75
INFO : validation_loss=0.234 ; best_validation_loss=0.237
INFO : ****** Current epoch: 25 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : Training sample: 15000/ 15000 ...
INFO : loss=0.03 ; accuracy=0.994
INFO : Average F1_score=0.99
INFO : Evaluation
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INFO : loss=0.23 ; accuracy=0.944
INFO : Average F1_score=0.76
INFO : validation_loss=0.232 ; best_validation_loss=0.234
INFO : ****** Current epoch: 26 ******
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INFO : loss=0.03 ; accuracy=0.994
INFO : Average F1_score=0.99
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INFO : loss=0.23 ; accuracy=0.945
INFO : Average F1_score=0.76
INFO : validation_loss=0.231 ; best_validation_loss=0.232
INFO : ****** Current epoch: 27 ******
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INFO : loss=0.03 ; accuracy=0.995
INFO : Average F1_score=0.99
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INFO : loss=0.23 ; accuracy=0.946
INFO : Average F1_score=0.76
INFO : validation_loss=0.229 ; best_validation_loss=0.231
INFO : ****** Current epoch: 28 ******
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INFO : loss=0.02 ; accuracy=0.995
INFO : Average F1_score=1.0
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INFO : loss=0.23 ; accuracy=0.947
INFO : Average F1_score=0.75
INFO : validation_loss=0.227 ; best_validation_loss=0.229
INFO : ****** Current epoch: 29 ******
INFO : Training sample: 6000/ 15000 ...
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INFO : loss=0.02 ; accuracy=0.996
INFO : Average F1_score=1.0
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INFO : loss=0.23 ; accuracy=0.947
INFO : Average F1_score=0.75
INFO : validation_loss=0.226 ; best_validation_loss=0.227
INFO : ****** Current epoch: 30 ******
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INFO : loss=0.02 ; accuracy=0.996
INFO : Average F1_score=1.0
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INFO : loss=0.23 ; accuracy=0.949
INFO : Average F1_score=0.74
INFO : validation_loss=0.226 ; best_validation_loss=0.226
INFO : ****** Current epoch: 31 ******
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INFO : loss=0.02 ; accuracy=0.997
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INFO : loss=0.23 ; accuracy=0.951
INFO : Average F1_score=0.75
INFO : validation_loss=0.226 ; best_validation_loss=0.226
INFO : Early stopping
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INFO : loss=0.2 ; accuracy=0.956
INFO : Average F1_score=0.68