In [1]:
from google.colab import drive
drive.mount('/content/gdrive')
import os
os.chdir('/content/gdrive/My Drive/finch/tensorflow2/spoken_language_understanding/atis/main')
Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount("/content/gdrive", force_remount=True).
In [2]:
%tensorflow_version 2.x
!pip install tensorflow-addons
Requirement already satisfied: tensorflow-addons in /usr/local/lib/python3.6/dist-packages (0.8.3)
Requirement already satisfied: typeguard in /usr/local/lib/python3.6/dist-packages (from tensorflow-addons) (2.7.1)
In [3]:
from sklearn.metrics import classification_report, f1_score, accuracy_score
from tensorflow_addons.optimizers.cyclical_learning_rate import Triangular2CyclicalLearningRate

import tensorflow as tf
import pprint
import logging
import time
import numpy as np

print("TensorFlow Version", tf.__version__)
print('GPU Enabled:', tf.test.is_gpu_available())
TensorFlow Version 2.2.0
WARNING:tensorflow:From <ipython-input-3-442ec6a690cd>:11: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
GPU Enabled: True
In [0]:
def get_vocab(vocab_path):
  word2idx = {}
  with open(vocab_path) as f:
    for i, line in enumerate(f):
      line = line.rstrip()
      word2idx[line] = i
  return word2idx
In [0]:
def data_generator(f_path, params):
  print('Reading', f_path)
  with open(f_path) as f:
    for line in f:
      line = line.rstrip()
      text, slot_intent = line.split('\t')
      words = text.split()[1:-1]
      slot_intent = slot_intent.split()
      slots, intent = slot_intent[1:-1], slot_intent[-1]
      assert len(words) == len(slots)
      
      words = [params['word2idx'].get(w, len(params['word2idx'])) for w in words]
      intent = params['intent2idx'].get(intent, len(params['intent2idx']))
      slots = [params['slot2idx'].get(s, len(params['slot2idx'])) for s in slots]
      
      yield (words, (intent, slots))
In [0]:
def dataset(is_training, params):
  _shapes = ([None], ((), [None]))
  _types = (tf.int32, (tf.int32, tf.int32))
  _pads = (0, (-1, 0))
  
  if is_training:
    ds = tf.data.Dataset.from_generator(
      lambda: data_generator(params['train_path'], params),
      output_shapes = _shapes,
      output_types = _types,)
    ds = ds.shuffle(params['num_samples'])
    ds = ds.padded_batch(params['batch_size'], _shapes, _pads)
    ds = ds.prefetch(tf.data.experimental.AUTOTUNE)
  else:
    ds = tf.data.Dataset.from_generator(
      lambda: data_generator(params['test_path'], params),
      output_shapes = _shapes,
      output_types = _types,)
    ds = ds.padded_batch(params['batch_size'], _shapes, _pads)
    ds = ds.prefetch(tf.data.experimental.AUTOTUNE)
  
  return ds
In [0]:
class Model(tf.keras.Model):
  def __init__(self, params: dict):
    super().__init__()
    self.embedding = tf.Variable(np.load(params['vocab_path']),
                                 dtype=tf.float32,
                                 name='pretrained_embedding')
    self.input_dropout = tf.keras.layers.Dropout(params['dropout_rate'])
    
    self.bidir_gru = tf.keras.layers.Bidirectional(tf.keras.layers.GRU(
        params['rnn_units'], return_state=True, return_sequences=True, zero_output_for_mask=True))
    
    self.intent_dropout = tf.keras.layers.Dropout(params['dropout_rate'])
    self.fc_intent = tf.keras.layers.Dense(params['rnn_units'], tf.nn.elu, name='fc_intent')
    self.out_linear_intent = tf.keras.layers.Dense(params['intent_size'], name='output_intent')
    self.out_linear_slot = tf.keras.layers.Dense(params['slot_size'], name='output_slot')
  
  
  def call(self, inputs, training=False):
    if inputs.dtype != tf.int32:
      inputs = tf.cast(inputs, tf.int32)
    mask = tf.sign(inputs)
    rnn_mask = tf.cast(mask, tf.bool)
    
    x = tf.nn.embedding_lookup(self.embedding, inputs)
    x = self.input_dropout(x, training=training)
    x, s_fw, s_bw = self.bidir_gru(x, mask=rnn_mask)
    
    x_intent = tf.concat([tf.reduce_max(x, 1), s_fw, s_bw], -1)
    x_intent = self.intent_dropout(x_intent, training=training)
    x_intent = self.out_linear_intent(self.fc_intent(x_intent))
    x_slot = self.out_linear_slot(x)
    return (x_intent, x_slot)
In [0]:
params = {
  'train_path': '../data/atis.train.w-intent.iob',
  'test_path': '../data/atis.test.w-intent.iob',
  'word_path': '../vocab/word.txt',
  'vocab_path': '../vocab/word.npy',
  'intent_path': '../vocab/intent.txt',
  'slot_path': '../vocab/slot.txt',
  'batch_size': 16,
  'num_samples': 4978,
  'rnn_units': 300,
  'dropout_rate': .2,
  'clip_norm': .1,
}
In [0]:
params['word2idx'] = get_vocab(params['word_path'])
params['intent2idx'] = get_vocab(params['intent_path'])
params['slot2idx'] = get_vocab(params['slot_path'])

params['word_size'] = len(params['word2idx']) + 1
params['intent_size'] = len(params['intent2idx']) + 1
params['slot_size'] = len(params['slot2idx']) + 1
In [10]:
model = Model(params)
model.build(input_shape=(None, None))
pprint.pprint([(v.name, v.shape) for v in model.trainable_variables])

decay_lr = Triangular2CyclicalLearningRate(
  initial_learning_rate = 1e-4,
  maximal_learning_rate = 8e-4,
  step_size = 8 * params['num_samples'] // params['batch_size'],
)
optim = tf.optimizers.Adam(1e-4)
global_step = 0

slot_best_f1 = .0
intent_acc_with_that = .0

t0 = time.time()
logger = logging.getLogger('tensorflow')
logger.setLevel(logging.INFO)

for n_epoch in range(1, 64+1):
  # TRAINING
  for (words, (intent, slots)) in dataset(is_training=True, params=params):
    with tf.GradientTape() as tape:
      y_intent, y_slots = model(words, training=True)
      loss_intent = tf.compat.v1.losses.softmax_cross_entropy(
        onehot_labels = tf.one_hot(intent, len(params['intent2idx'])+1),
        logits = y_intent,
        label_smoothing = .2)
      # weight of 'O' is set to be small
      weights = tf.cast(tf.sign(slots), tf.float32)
      padding = tf.constant(1e-2, tf.float32, weights.shape)
      weights = tf.where(tf.equal(weights, 0.), padding, weights)

      loss_slots = tf.compat.v1.losses.softmax_cross_entropy(
        onehot_labels = tf.one_hot(slots, len(params['slot2idx'])+1),
        logits = y_slots,
        weights = tf.cast(weights, tf.float32),
        label_smoothing = .2)
      # joint loss
      loss = loss_intent + loss_slots
    
    optim.lr.assign(decay_lr(global_step))
    grads = tape.gradient(loss, model.trainable_variables)
    grads, _ = tf.clip_by_global_norm(grads, params['clip_norm'])
    optim.apply_gradients(zip(grads, model.trainable_variables))

    if global_step % 50 == 0:
      logger.info("Step {} | Loss: {:.4f} | Loss_intent: {:.4f} | Loss_slots: {:.4f} | Spent: {:.1f} secs | LR: {:.6f}".format(
          global_step, loss.numpy().item(), loss_intent.numpy().item(), loss_slots.numpy().item(), time.time()-t0, optim.lr.numpy().item()))
      t0 = time.time()
    global_step += 1
    
  # EVALUATION
  intent_true = []
  intent_pred = []
  slot_true = []
  slot_pred = []

  for (words, (intent, slots)) in dataset(is_training=False, params=params):
    y_intent, y_slots = model(words, training=False)
    y_intent = tf.argmax(y_intent, -1)
    y_slots = tf.argmax(y_slots, -1)
    
    intent_true += intent.numpy().flatten().tolist()
    intent_pred += y_intent.numpy().flatten().tolist()
    slot_true += slots.numpy().flatten().tolist()
    slot_pred += y_slots.numpy().flatten().tolist()
    
  f1_slots = f1_score(y_true = slot_true,
                      y_pred = slot_pred,
                      labels = list(params['slot2idx'].values()),
                      sample_weight = np.sign(slot_true),
                      average='micro',)
  
  acc_intent = accuracy_score(intent_true, intent_pred)

  logger.info("Slot F1: {:.3f}, Intent Acc: {:.3f}".format(f1_slots, acc_intent))

  if n_epoch != 1 and n_epoch % 8 == 0:
    logger.info('\n'+classification_report(y_true = intent_true,
                                          y_pred = intent_pred,
                                          labels = list(params['intent2idx'].values()),
                                          target_names = list(params['intent2idx'].keys()),
                                          digits=3))
    logger.info('\n'+classification_report(y_true = slot_true,
                                          y_pred = slot_pred,
                                          labels = list(params['slot2idx'].values()),
                                          target_names = list(params['slot2idx'].keys()),
                                          sample_weight = np.sign(slot_true),
                                          digits=3))
  
  if f1_slots > slot_best_f1:
    slot_best_f1 = f1_slots
    intent_acc_with_that = acc_intent
    # you can save model here
  logger.info("Best Slot F1: {:.3f}, Intent Acc: {:.3f}".format(slot_best_f1, intent_acc_with_that))
[('bidirectional/forward_gru/gru_cell_1/kernel:0', TensorShape([300, 900])),
 ('bidirectional/forward_gru/gru_cell_1/recurrent_kernel:0',
  TensorShape([300, 900])),
 ('bidirectional/forward_gru/gru_cell_1/bias:0', TensorShape([2, 900])),
 ('bidirectional/backward_gru/gru_cell_2/kernel:0', TensorShape([300, 900])),
 ('bidirectional/backward_gru/gru_cell_2/recurrent_kernel:0',
  TensorShape([300, 900])),
 ('bidirectional/backward_gru/gru_cell_2/bias:0', TensorShape([2, 900])),
 ('fc_intent/kernel:0', TensorShape([1200, 300])),
 ('fc_intent/bias:0', TensorShape([300])),
 ('output_intent/kernel:0', TensorShape([300, 23])),
 ('output_intent/bias:0', TensorShape([23])),
 ('output_slot/kernel:0', TensorShape([600, 122])),
 ('output_slot/bias:0', TensorShape([122])),
 ('pretrained_embedding:0', TensorShape([750, 300]))]
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 0 | Loss: 4.3893 | Loss_intent: 3.2410 | Loss_slots: 1.1482 | Spent: 2.5 secs | LR: 0.000100
INFO:tensorflow:Step 50 | Loss: 3.0150 | Loss_intent: 1.7607 | Loss_slots: 1.2543 | Spent: 2.2 secs | LR: 0.000114
INFO:tensorflow:Step 100 | Loss: 2.4566 | Loss_intent: 1.6998 | Loss_slots: 0.7568 | Spent: 2.2 secs | LR: 0.000128
INFO:tensorflow:Step 150 | Loss: 2.1020 | Loss_intent: 1.3305 | Loss_slots: 0.7715 | Spent: 2.3 secs | LR: 0.000142
INFO:tensorflow:Step 200 | Loss: 2.3151 | Loss_intent: 1.5661 | Loss_slots: 0.7490 | Spent: 2.3 secs | LR: 0.000156
INFO:tensorflow:Step 250 | Loss: 1.9906 | Loss_intent: 1.2328 | Loss_slots: 0.7578 | Spent: 2.3 secs | LR: 0.000170
INFO:tensorflow:Step 300 | Loss: 1.9396 | Loss_intent: 1.3083 | Loss_slots: 0.6313 | Spent: 2.2 secs | LR: 0.000184
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.663, Intent Acc: 0.887
INFO:tensorflow:Best Slot F1: 0.663, Intent Acc: 0.887
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 350 | Loss: 1.5943 | Loss_intent: 1.1324 | Loss_slots: 0.4619 | Spent: 4.5 secs | LR: 0.000198
INFO:tensorflow:Step 400 | Loss: 1.9180 | Loss_intent: 1.2735 | Loss_slots: 0.6444 | Spent: 2.3 secs | LR: 0.000212
INFO:tensorflow:Step 450 | Loss: 1.8439 | Loss_intent: 1.3550 | Loss_slots: 0.4889 | Spent: 2.3 secs | LR: 0.000227
INFO:tensorflow:Step 500 | Loss: 1.9573 | Loss_intent: 1.3901 | Loss_slots: 0.5671 | Spent: 2.3 secs | LR: 0.000241
INFO:tensorflow:Step 550 | Loss: 1.8512 | Loss_intent: 1.3255 | Loss_slots: 0.5257 | Spent: 2.2 secs | LR: 0.000255
INFO:tensorflow:Step 600 | Loss: 1.9522 | Loss_intent: 1.4425 | Loss_slots: 0.5098 | Spent: 2.4 secs | LR: 0.000269
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.829, Intent Acc: 0.931
INFO:tensorflow:Best Slot F1: 0.829, Intent Acc: 0.931
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 650 | Loss: 1.7384 | Loss_intent: 1.2650 | Loss_slots: 0.4734 | Spent: 4.7 secs | LR: 0.000283
INFO:tensorflow:Step 700 | Loss: 1.4836 | Loss_intent: 1.1310 | Loss_slots: 0.3525 | Spent: 2.2 secs | LR: 0.000297
INFO:tensorflow:Step 750 | Loss: 1.4482 | Loss_intent: 1.2116 | Loss_slots: 0.2365 | Spent: 2.2 secs | LR: 0.000311
INFO:tensorflow:Step 800 | Loss: 1.5566 | Loss_intent: 1.1270 | Loss_slots: 0.4296 | Spent: 2.3 secs | LR: 0.000325
INFO:tensorflow:Step 850 | Loss: 1.4891 | Loss_intent: 1.1221 | Loss_slots: 0.3669 | Spent: 2.2 secs | LR: 0.000339
INFO:tensorflow:Step 900 | Loss: 1.5088 | Loss_intent: 1.1167 | Loss_slots: 0.3921 | Spent: 2.2 secs | LR: 0.000353
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.886, Intent Acc: 0.940
INFO:tensorflow:Best Slot F1: 0.886, Intent Acc: 0.940
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 950 | Loss: 1.5132 | Loss_intent: 1.1273 | Loss_slots: 0.3859 | Spent: 4.6 secs | LR: 0.000367
INFO:tensorflow:Step 1000 | Loss: 1.4526 | Loss_intent: 1.1252 | Loss_slots: 0.3275 | Spent: 2.3 secs | LR: 0.000381
INFO:tensorflow:Step 1050 | Loss: 1.4322 | Loss_intent: 1.1129 | Loss_slots: 0.3193 | Spent: 2.2 secs | LR: 0.000395
INFO:tensorflow:Step 1100 | Loss: 1.4864 | Loss_intent: 1.1041 | Loss_slots: 0.3823 | Spent: 2.4 secs | LR: 0.000409
INFO:tensorflow:Step 1150 | Loss: 1.4071 | Loss_intent: 1.1310 | Loss_slots: 0.2761 | Spent: 2.5 secs | LR: 0.000423
INFO:tensorflow:Step 1200 | Loss: 1.6179 | Loss_intent: 1.2484 | Loss_slots: 0.3695 | Spent: 2.4 secs | LR: 0.000437
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.928, Intent Acc: 0.963
INFO:tensorflow:Best Slot F1: 0.928, Intent Acc: 0.963
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 1250 | Loss: 1.4816 | Loss_intent: 1.1038 | Loss_slots: 0.3778 | Spent: 4.7 secs | LR: 0.000452
INFO:tensorflow:Step 1300 | Loss: 1.5140 | Loss_intent: 1.1237 | Loss_slots: 0.3903 | Spent: 2.3 secs | LR: 0.000466
INFO:tensorflow:Step 1350 | Loss: 1.4256 | Loss_intent: 1.1043 | Loss_slots: 0.3212 | Spent: 2.2 secs | LR: 0.000480
INFO:tensorflow:Step 1400 | Loss: 1.5831 | Loss_intent: 1.1355 | Loss_slots: 0.4475 | Spent: 2.3 secs | LR: 0.000494
INFO:tensorflow:Step 1450 | Loss: 1.5292 | Loss_intent: 1.0883 | Loss_slots: 0.4409 | Spent: 2.4 secs | LR: 0.000508
INFO:tensorflow:Step 1500 | Loss: 1.6183 | Loss_intent: 1.1397 | Loss_slots: 0.4786 | Spent: 2.2 secs | LR: 0.000522
INFO:tensorflow:Step 1550 | Loss: 1.4852 | Loss_intent: 1.1337 | Loss_slots: 0.3515 | Spent: 2.4 secs | LR: 0.000536
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.946, Intent Acc: 0.966
INFO:tensorflow:Best Slot F1: 0.946, Intent Acc: 0.966
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 1600 | Loss: 1.5189 | Loss_intent: 1.1696 | Loss_slots: 0.3493 | Spent: 4.6 secs | LR: 0.000550
INFO:tensorflow:Step 1650 | Loss: 1.4322 | Loss_intent: 1.0874 | Loss_slots: 0.3448 | Spent: 2.3 secs | LR: 0.000564
INFO:tensorflow:Step 1700 | Loss: 1.5406 | Loss_intent: 1.1062 | Loss_slots: 0.4344 | Spent: 2.3 secs | LR: 0.000578
INFO:tensorflow:Step 1750 | Loss: 1.4858 | Loss_intent: 1.0897 | Loss_slots: 0.3961 | Spent: 2.2 secs | LR: 0.000592
INFO:tensorflow:Step 1800 | Loss: 1.5056 | Loss_intent: 1.1250 | Loss_slots: 0.3806 | Spent: 2.3 secs | LR: 0.000606
INFO:tensorflow:Step 1850 | Loss: 1.4225 | Loss_intent: 1.1153 | Loss_slots: 0.3072 | Spent: 2.2 secs | LR: 0.000620
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.947, Intent Acc: 0.962
INFO:tensorflow:Best Slot F1: 0.947, Intent Acc: 0.962
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 1900 | Loss: 1.4587 | Loss_intent: 1.1058 | Loss_slots: 0.3529 | Spent: 4.6 secs | LR: 0.000634
INFO:tensorflow:Step 1950 | Loss: 1.5238 | Loss_intent: 1.1028 | Loss_slots: 0.4210 | Spent: 2.3 secs | LR: 0.000648
INFO:tensorflow:Step 2000 | Loss: 1.5254 | Loss_intent: 1.1239 | Loss_slots: 0.4016 | Spent: 2.3 secs | LR: 0.000662
INFO:tensorflow:Step 2050 | Loss: 1.4739 | Loss_intent: 1.1125 | Loss_slots: 0.3614 | Spent: 2.3 secs | LR: 0.000677
INFO:tensorflow:Step 2100 | Loss: 1.4778 | Loss_intent: 1.0882 | Loss_slots: 0.3896 | Spent: 2.2 secs | LR: 0.000691
INFO:tensorflow:Step 2150 | Loss: 1.3935 | Loss_intent: 1.1013 | Loss_slots: 0.2922 | Spent: 2.2 secs | LR: 0.000705
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.944, Intent Acc: 0.963
INFO:tensorflow:Best Slot F1: 0.947, Intent Acc: 0.962
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 2200 | Loss: 1.4449 | Loss_intent: 1.1143 | Loss_slots: 0.3306 | Spent: 4.6 secs | LR: 0.000719
INFO:tensorflow:Step 2250 | Loss: 1.4965 | Loss_intent: 1.1160 | Loss_slots: 0.3805 | Spent: 2.4 secs | LR: 0.000733
INFO:tensorflow:Step 2300 | Loss: 1.3605 | Loss_intent: 1.0849 | Loss_slots: 0.2756 | Spent: 2.3 secs | LR: 0.000747
INFO:tensorflow:Step 2350 | Loss: 1.4170 | Loss_intent: 1.1624 | Loss_slots: 0.2546 | Spent: 2.4 secs | LR: 0.000761
INFO:tensorflow:Step 2400 | Loss: 1.4851 | Loss_intent: 1.0913 | Loss_slots: 0.3938 | Spent: 2.3 secs | LR: 0.000775
INFO:tensorflow:Step 2450 | Loss: 1.4261 | Loss_intent: 1.0998 | Loss_slots: 0.3263 | Spent: 2.3 secs | LR: 0.000789
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.949, Intent Acc: 0.969
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.974     0.992     0.983       632
                            atis_airfare      0.959     0.979     0.969        48
                     atis_ground_service      0.973     1.000     0.986        36
                            atis_airline      1.000     0.974     0.987        38
                       atis_abbreviation      0.943     1.000     0.971        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.500     0.083     0.143        12
                            atis_airport      1.000     1.000     1.000        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     0.714     0.833         7
                           atis_capacity      1.000     1.000     1.000        21
                          atis_flight_no      0.889     1.000     0.941         8
                               atis_meal      1.000     0.833     0.909         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.969     0.974     0.971       888
                               macro avg      0.667     0.647     0.642       888
                            weighted avg      0.966     0.974     0.967       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.967     0.993     0.980     716.0
         B-fromloc.city_name      0.982     0.999     0.990     704.0
           I-toloc.city_name      0.967     0.981     0.974     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.972     0.994     0.983     177.0
 B-depart_time.period_of_day      0.991     0.892     0.939     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.770     1.000     0.870      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.800     1.000     0.889      24.0
 B-depart_time.time_relative      0.955     0.985     0.970      65.0
          I-depart_time.time      0.897     1.000     0.945      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.912     0.544     0.681      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      1.000     0.971     0.985      34.0
 B-arrive_time.time_relative      0.879     0.935     0.906      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      1.000     0.971     0.986      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     1.000     1.000      15.0
      I-fromloc.airport_name      0.429     1.000     0.600      15.0
      B-fromloc.airport_name      0.444     1.000     0.615      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.379     1.000     0.550      11.0
 B-depart_date.date_relative      0.895     1.000     0.944      17.0
          B-toloc.state_name      0.833     0.893     0.862      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.909     0.345     0.500      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.696     0.533     0.604      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      1.000     0.900     0.947      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      1.000     1.000     1.000       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     0.333     0.500       3.0
        B-fromloc.state_name      0.944     1.000     0.971      17.0
              B-airport_name      0.750     0.286     0.414      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.667     0.667     0.667       3.0
      B-depart_time.end_time      1.000     0.667     0.800       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.500     0.667       4.0
      B-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     0.500     0.667       2.0
                I-flight_mod      0.000     0.000     0.000       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      0.333     0.333     0.333       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      0.000     0.000     0.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.500     0.667       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      0.000     0.000     0.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.000     0.000     0.000       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.948     0.950     0.949    3657.0
                   macro avg      0.642     0.620     0.619    3657.0
                weighted avg      0.948     0.950     0.944    3657.0

INFO:tensorflow:Best Slot F1: 0.949, Intent Acc: 0.969
Reading ../data/atis.train.w-intent.iob
/usr/local/lib/python3.6/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
/usr/local/lib/python3.6/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
  _warn_prf(average, modifier, msg_start, len(result))
INFO:tensorflow:Step 2500 | Loss: 1.4691 | Loss_intent: 1.0955 | Loss_slots: 0.3736 | Spent: 4.5 secs | LR: 0.000797
INFO:tensorflow:Step 2550 | Loss: 1.3247 | Loss_intent: 1.1170 | Loss_slots: 0.2077 | Spent: 2.4 secs | LR: 0.000783
INFO:tensorflow:Step 2600 | Loss: 1.3363 | Loss_intent: 1.1016 | Loss_slots: 0.2347 | Spent: 2.3 secs | LR: 0.000769
INFO:tensorflow:Step 2650 | Loss: 1.4571 | Loss_intent: 1.0846 | Loss_slots: 0.3725 | Spent: 2.5 secs | LR: 0.000755
INFO:tensorflow:Step 2700 | Loss: 1.4036 | Loss_intent: 1.1983 | Loss_slots: 0.2053 | Spent: 2.4 secs | LR: 0.000741
INFO:tensorflow:Step 2750 | Loss: 1.4242 | Loss_intent: 1.1000 | Loss_slots: 0.3242 | Spent: 2.2 secs | LR: 0.000727
INFO:tensorflow:Step 2800 | Loss: 1.4561 | Loss_intent: 1.0909 | Loss_slots: 0.3652 | Spent: 2.3 secs | LR: 0.000713
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.951, Intent Acc: 0.971
INFO:tensorflow:Best Slot F1: 0.951, Intent Acc: 0.971
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 2850 | Loss: 1.4663 | Loss_intent: 1.0929 | Loss_slots: 0.3734 | Spent: 4.4 secs | LR: 0.000698
INFO:tensorflow:Step 2900 | Loss: 1.4286 | Loss_intent: 1.0961 | Loss_slots: 0.3325 | Spent: 2.3 secs | LR: 0.000684
INFO:tensorflow:Step 2950 | Loss: 1.4292 | Loss_intent: 1.0987 | Loss_slots: 0.3305 | Spent: 2.3 secs | LR: 0.000670
INFO:tensorflow:Step 3000 | Loss: 1.3621 | Loss_intent: 1.0874 | Loss_slots: 0.2747 | Spent: 2.3 secs | LR: 0.000656
INFO:tensorflow:Step 3050 | Loss: 1.3833 | Loss_intent: 1.0900 | Loss_slots: 0.2932 | Spent: 2.3 secs | LR: 0.000642
INFO:tensorflow:Step 3100 | Loss: 1.4649 | Loss_intent: 1.0840 | Loss_slots: 0.3808 | Spent: 2.3 secs | LR: 0.000628
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.951, Intent Acc: 0.971
INFO:tensorflow:Best Slot F1: 0.951, Intent Acc: 0.971
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 3150 | Loss: 1.3550 | Loss_intent: 1.0873 | Loss_slots: 0.2677 | Spent: 4.7 secs | LR: 0.000614
INFO:tensorflow:Step 3200 | Loss: 1.3396 | Loss_intent: 1.0922 | Loss_slots: 0.2474 | Spent: 2.3 secs | LR: 0.000600
INFO:tensorflow:Step 3250 | Loss: 1.3813 | Loss_intent: 1.0866 | Loss_slots: 0.2947 | Spent: 2.5 secs | LR: 0.000586
INFO:tensorflow:Step 3300 | Loss: 1.4451 | Loss_intent: 1.0887 | Loss_slots: 0.3563 | Spent: 2.7 secs | LR: 0.000572
INFO:tensorflow:Step 3350 | Loss: 1.3400 | Loss_intent: 1.0862 | Loss_slots: 0.2537 | Spent: 2.5 secs | LR: 0.000558
INFO:tensorflow:Step 3400 | Loss: 1.4679 | Loss_intent: 1.0925 | Loss_slots: 0.3753 | Spent: 2.4 secs | LR: 0.000544
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.953, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 3450 | Loss: 1.4487 | Loss_intent: 1.0879 | Loss_slots: 0.3608 | Spent: 4.7 secs | LR: 0.000530
INFO:tensorflow:Step 3500 | Loss: 1.4469 | Loss_intent: 1.0887 | Loss_slots: 0.3581 | Spent: 2.2 secs | LR: 0.000516
INFO:tensorflow:Step 3550 | Loss: 1.4066 | Loss_intent: 1.0961 | Loss_slots: 0.3105 | Spent: 2.4 secs | LR: 0.000502
INFO:tensorflow:Step 3600 | Loss: 1.5372 | Loss_intent: 1.0834 | Loss_slots: 0.4538 | Spent: 2.3 secs | LR: 0.000488
INFO:tensorflow:Step 3650 | Loss: 1.3657 | Loss_intent: 1.0841 | Loss_slots: 0.2816 | Spent: 2.3 secs | LR: 0.000473
INFO:tensorflow:Step 3700 | Loss: 1.4145 | Loss_intent: 1.0899 | Loss_slots: 0.3245 | Spent: 2.3 secs | LR: 0.000459
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.951, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.953, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 3750 | Loss: 1.3652 | Loss_intent: 1.0820 | Loss_slots: 0.2832 | Spent: 4.6 secs | LR: 0.000445
INFO:tensorflow:Step 3800 | Loss: 1.3274 | Loss_intent: 1.0830 | Loss_slots: 0.2444 | Spent: 2.4 secs | LR: 0.000431
INFO:tensorflow:Step 3850 | Loss: 1.3630 | Loss_intent: 1.0815 | Loss_slots: 0.2815 | Spent: 2.2 secs | LR: 0.000417
INFO:tensorflow:Step 3900 | Loss: 1.4307 | Loss_intent: 1.0822 | Loss_slots: 0.3485 | Spent: 2.3 secs | LR: 0.000403
INFO:tensorflow:Step 3950 | Loss: 1.4593 | Loss_intent: 1.0864 | Loss_slots: 0.3729 | Spent: 2.2 secs | LR: 0.000389
INFO:tensorflow:Step 4000 | Loss: 1.4034 | Loss_intent: 1.0908 | Loss_slots: 0.3126 | Spent: 2.2 secs | LR: 0.000375
INFO:tensorflow:Step 4050 | Loss: 1.4227 | Loss_intent: 1.0810 | Loss_slots: 0.3417 | Spent: 2.4 secs | LR: 0.000361
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.953, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 4100 | Loss: 1.3947 | Loss_intent: 1.0820 | Loss_slots: 0.3127 | Spent: 4.6 secs | LR: 0.000347
INFO:tensorflow:Step 4150 | Loss: 1.3446 | Loss_intent: 1.0863 | Loss_slots: 0.2583 | Spent: 2.2 secs | LR: 0.000333
INFO:tensorflow:Step 4200 | Loss: 1.4484 | Loss_intent: 1.0851 | Loss_slots: 0.3632 | Spent: 2.2 secs | LR: 0.000319
INFO:tensorflow:Step 4250 | Loss: 1.4173 | Loss_intent: 1.0839 | Loss_slots: 0.3334 | Spent: 2.2 secs | LR: 0.000305
INFO:tensorflow:Step 4300 | Loss: 1.3777 | Loss_intent: 1.0806 | Loss_slots: 0.2971 | Spent: 2.2 secs | LR: 0.000291
INFO:tensorflow:Step 4350 | Loss: 1.3523 | Loss_intent: 1.0823 | Loss_slots: 0.2700 | Spent: 2.4 secs | LR: 0.000277
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.953, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 4400 | Loss: 1.4130 | Loss_intent: 1.0820 | Loss_slots: 0.3309 | Spent: 4.7 secs | LR: 0.000263
INFO:tensorflow:Step 4450 | Loss: 1.4325 | Loss_intent: 1.0812 | Loss_slots: 0.3513 | Spent: 2.3 secs | LR: 0.000248
INFO:tensorflow:Step 4500 | Loss: 1.4444 | Loss_intent: 1.0802 | Loss_slots: 0.3642 | Spent: 2.3 secs | LR: 0.000234
INFO:tensorflow:Step 4550 | Loss: 1.3148 | Loss_intent: 1.0853 | Loss_slots: 0.2295 | Spent: 2.2 secs | LR: 0.000220
INFO:tensorflow:Step 4600 | Loss: 1.4514 | Loss_intent: 1.0815 | Loss_slots: 0.3699 | Spent: 2.3 secs | LR: 0.000206
INFO:tensorflow:Step 4650 | Loss: 1.4795 | Loss_intent: 1.0852 | Loss_slots: 0.3943 | Spent: 2.5 secs | LR: 0.000192
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.953, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 4700 | Loss: 1.4873 | Loss_intent: 1.0808 | Loss_slots: 0.4064 | Spent: 4.8 secs | LR: 0.000178
INFO:tensorflow:Step 4750 | Loss: 1.4064 | Loss_intent: 1.0833 | Loss_slots: 0.3230 | Spent: 2.3 secs | LR: 0.000164
INFO:tensorflow:Step 4800 | Loss: 1.4339 | Loss_intent: 1.0881 | Loss_slots: 0.3458 | Spent: 2.2 secs | LR: 0.000150
INFO:tensorflow:Step 4850 | Loss: 1.4139 | Loss_intent: 1.0801 | Loss_slots: 0.3338 | Spent: 2.2 secs | LR: 0.000136
INFO:tensorflow:Step 4900 | Loss: 1.3841 | Loss_intent: 1.0808 | Loss_slots: 0.3034 | Spent: 2.4 secs | LR: 0.000122
INFO:tensorflow:Step 4950 | Loss: 1.4568 | Loss_intent: 1.0810 | Loss_slots: 0.3758 | Spent: 2.2 secs | LR: 0.000108
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.975     0.992     0.984       632
                            atis_airfare      0.979     0.979     0.979        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.833     0.417     0.556        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     0.952     0.976        21
                          atis_flight_no      0.889     1.000     0.941         8
                               atis_meal      1.000     0.833     0.909         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.974     0.980     0.977       888
                               macro avg      0.687     0.672     0.669       888
                            weighted avg      0.976     0.980     0.976       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.970     0.993     0.981     716.0
         B-fromloc.city_name      0.986     1.000     0.993     704.0
           I-toloc.city_name      0.959     0.981     0.970     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.962     1.000     0.981     177.0
 B-depart_time.period_of_day      1.000     0.923     0.960     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.838     1.000     0.912      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.963     1.000     0.981      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.865     0.561     0.681      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.971     0.971     0.971      34.0
 B-arrive_time.time_relative      0.879     0.935     0.906      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      0.971     0.971     0.971      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.429     1.000     0.600      15.0
      B-fromloc.airport_name      0.480     1.000     0.649      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.344     1.000     0.512      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.806     0.893     0.847      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.933     0.467     0.622      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      1.000     1.000     1.000       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     1.000     1.000       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      1.000     0.667     0.800       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.500     0.667       4.0
      B-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-arrive_time.end_time      0.875     0.875     0.875       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.667     0.800       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.750     0.857       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     0.500     0.667       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      1.000     0.667     0.800       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.952     0.954     0.953    3657.0
                   macro avg      0.682     0.653     0.654    3657.0
                weighted avg      0.956     0.954     0.950    3657.0

INFO:tensorflow:Best Slot F1: 0.953, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 5000 | Loss: 1.3169 | Loss_intent: 1.0821 | Loss_slots: 0.2348 | Spent: 4.6 secs | LR: 0.000103
INFO:tensorflow:Step 5050 | Loss: 1.3974 | Loss_intent: 1.0816 | Loss_slots: 0.3158 | Spent: 2.3 secs | LR: 0.000110
INFO:tensorflow:Step 5100 | Loss: 1.3896 | Loss_intent: 1.0818 | Loss_slots: 0.3077 | Spent: 2.3 secs | LR: 0.000117
INFO:tensorflow:Step 5150 | Loss: 1.3989 | Loss_intent: 1.0811 | Loss_slots: 0.3178 | Spent: 2.4 secs | LR: 0.000124
INFO:tensorflow:Step 5200 | Loss: 1.4060 | Loss_intent: 1.0827 | Loss_slots: 0.3233 | Spent: 2.3 secs | LR: 0.000131
INFO:tensorflow:Step 5250 | Loss: 1.2539 | Loss_intent: 1.0802 | Loss_slots: 0.1737 | Spent: 2.4 secs | LR: 0.000138
INFO:tensorflow:Step 5300 | Loss: 1.3509 | Loss_intent: 1.0806 | Loss_slots: 0.2703 | Spent: 2.3 secs | LR: 0.000145
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 5350 | Loss: 1.3536 | Loss_intent: 1.0806 | Loss_slots: 0.2730 | Spent: 5.1 secs | LR: 0.000152
INFO:tensorflow:Step 5400 | Loss: 1.4581 | Loss_intent: 1.0815 | Loss_slots: 0.3766 | Spent: 2.4 secs | LR: 0.000159
INFO:tensorflow:Step 5450 | Loss: 1.3845 | Loss_intent: 1.0813 | Loss_slots: 0.3033 | Spent: 2.4 secs | LR: 0.000166
INFO:tensorflow:Step 5500 | Loss: 1.4189 | Loss_intent: 1.0851 | Loss_slots: 0.3337 | Spent: 2.3 secs | LR: 0.000173
INFO:tensorflow:Step 5550 | Loss: 1.4380 | Loss_intent: 1.0821 | Loss_slots: 0.3559 | Spent: 2.3 secs | LR: 0.000180
INFO:tensorflow:Step 5600 | Loss: 1.3741 | Loss_intent: 1.0819 | Loss_slots: 0.2922 | Spent: 2.2 secs | LR: 0.000187
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 5650 | Loss: 1.3520 | Loss_intent: 1.0803 | Loss_slots: 0.2717 | Spent: 4.6 secs | LR: 0.000194
INFO:tensorflow:Step 5700 | Loss: 1.4575 | Loss_intent: 1.0828 | Loss_slots: 0.3748 | Spent: 2.5 secs | LR: 0.000202
INFO:tensorflow:Step 5750 | Loss: 1.4058 | Loss_intent: 1.0817 | Loss_slots: 0.3241 | Spent: 2.3 secs | LR: 0.000209
INFO:tensorflow:Step 5800 | Loss: 1.3972 | Loss_intent: 1.0805 | Loss_slots: 0.3167 | Spent: 2.2 secs | LR: 0.000216
INFO:tensorflow:Step 5850 | Loss: 1.4016 | Loss_intent: 1.0817 | Loss_slots: 0.3199 | Spent: 2.3 secs | LR: 0.000223
INFO:tensorflow:Step 5900 | Loss: 1.3479 | Loss_intent: 1.0832 | Loss_slots: 0.2647 | Spent: 2.2 secs | LR: 0.000230
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 5950 | Loss: 1.3024 | Loss_intent: 1.0836 | Loss_slots: 0.2188 | Spent: 4.6 secs | LR: 0.000237
INFO:tensorflow:Step 6000 | Loss: 1.4234 | Loss_intent: 1.0822 | Loss_slots: 0.3413 | Spent: 2.3 secs | LR: 0.000244
INFO:tensorflow:Step 6050 | Loss: 1.3898 | Loss_intent: 1.0808 | Loss_slots: 0.3090 | Spent: 2.3 secs | LR: 0.000251
INFO:tensorflow:Step 6100 | Loss: 1.4658 | Loss_intent: 1.0845 | Loss_slots: 0.3813 | Spent: 2.3 secs | LR: 0.000258
INFO:tensorflow:Step 6150 | Loss: 1.3662 | Loss_intent: 1.0877 | Loss_slots: 0.2784 | Spent: 2.3 secs | LR: 0.000265
INFO:tensorflow:Step 6200 | Loss: 1.3320 | Loss_intent: 1.0814 | Loss_slots: 0.2507 | Spent: 2.2 secs | LR: 0.000272
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.972
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 6250 | Loss: 1.4378 | Loss_intent: 1.0812 | Loss_slots: 0.3567 | Spent: 4.4 secs | LR: 0.000279
INFO:tensorflow:Step 6300 | Loss: 1.3689 | Loss_intent: 1.0826 | Loss_slots: 0.2864 | Spent: 2.2 secs | LR: 0.000286
INFO:tensorflow:Step 6350 | Loss: 1.3776 | Loss_intent: 1.0850 | Loss_slots: 0.2926 | Spent: 2.3 secs | LR: 0.000293
INFO:tensorflow:Step 6400 | Loss: 1.4209 | Loss_intent: 1.0898 | Loss_slots: 0.3311 | Spent: 2.4 secs | LR: 0.000300
INFO:tensorflow:Step 6450 | Loss: 1.3806 | Loss_intent: 1.0812 | Loss_slots: 0.2994 | Spent: 2.3 secs | LR: 0.000307
INFO:tensorflow:Step 6500 | Loss: 1.3922 | Loss_intent: 1.0807 | Loss_slots: 0.3114 | Spent: 2.3 secs | LR: 0.000314
INFO:tensorflow:Step 6550 | Loss: 1.3871 | Loss_intent: 1.0804 | Loss_slots: 0.3066 | Spent: 2.3 secs | LR: 0.000321
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 6600 | Loss: 1.4015 | Loss_intent: 1.0815 | Loss_slots: 0.3199 | Spent: 4.7 secs | LR: 0.000328
INFO:tensorflow:Step 6650 | Loss: 1.4172 | Loss_intent: 1.0815 | Loss_slots: 0.3356 | Spent: 2.3 secs | LR: 0.000335
INFO:tensorflow:Step 6700 | Loss: 1.4048 | Loss_intent: 1.0806 | Loss_slots: 0.3241 | Spent: 2.4 secs | LR: 0.000342
INFO:tensorflow:Step 6750 | Loss: 1.3364 | Loss_intent: 1.0804 | Loss_slots: 0.2560 | Spent: 2.3 secs | LR: 0.000349
INFO:tensorflow:Step 6800 | Loss: 1.3140 | Loss_intent: 1.0803 | Loss_slots: 0.2337 | Spent: 2.2 secs | LR: 0.000356
INFO:tensorflow:Step 6850 | Loss: 1.2659 | Loss_intent: 1.0810 | Loss_slots: 0.1849 | Spent: 2.3 secs | LR: 0.000363
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 6900 | Loss: 1.4086 | Loss_intent: 1.0831 | Loss_slots: 0.3255 | Spent: 4.8 secs | LR: 0.000370
INFO:tensorflow:Step 6950 | Loss: 1.3728 | Loss_intent: 1.0810 | Loss_slots: 0.2919 | Spent: 2.4 secs | LR: 0.000377
INFO:tensorflow:Step 7000 | Loss: 1.3924 | Loss_intent: 1.0825 | Loss_slots: 0.3099 | Spent: 2.2 secs | LR: 0.000384
INFO:tensorflow:Step 7050 | Loss: 1.4533 | Loss_intent: 1.0822 | Loss_slots: 0.3711 | Spent: 2.2 secs | LR: 0.000391
INFO:tensorflow:Step 7100 | Loss: 1.5029 | Loss_intent: 1.0915 | Loss_slots: 0.4115 | Spent: 2.5 secs | LR: 0.000398
INFO:tensorflow:Step 7150 | Loss: 1.4204 | Loss_intent: 1.0829 | Loss_slots: 0.3375 | Spent: 2.3 secs | LR: 0.000405
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 7200 | Loss: 1.4691 | Loss_intent: 1.0827 | Loss_slots: 0.3863 | Spent: 4.5 secs | LR: 0.000412
INFO:tensorflow:Step 7250 | Loss: 1.3499 | Loss_intent: 1.0804 | Loss_slots: 0.2695 | Spent: 2.3 secs | LR: 0.000419
INFO:tensorflow:Step 7300 | Loss: 1.4232 | Loss_intent: 1.0838 | Loss_slots: 0.3394 | Spent: 2.3 secs | LR: 0.000427
INFO:tensorflow:Step 7350 | Loss: 1.3952 | Loss_intent: 1.0858 | Loss_slots: 0.3094 | Spent: 2.2 secs | LR: 0.000434
INFO:tensorflow:Step 7400 | Loss: 1.4157 | Loss_intent: 1.0816 | Loss_slots: 0.3340 | Spent: 2.3 secs | LR: 0.000441
INFO:tensorflow:Step 7450 | Loss: 1.3281 | Loss_intent: 1.0810 | Loss_slots: 0.2471 | Spent: 2.4 secs | LR: 0.000448
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.975
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.978     0.992     0.985       632
                            atis_airfare      0.959     0.979     0.969        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.375     1.000     0.545         3
                atis_flight#atis_airfare      0.833     0.417     0.556        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     1.000     1.000        21
                          atis_flight_no      1.000     1.000     1.000         8
                               atis_meal      1.000     0.833     0.909         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.975     0.981     0.978       888
                               macro avg      0.688     0.674     0.670       888
                            weighted avg      0.978     0.981     0.978       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.970     0.993     0.981     716.0
         B-fromloc.city_name      0.985     0.999     0.992     704.0
           I-toloc.city_name      0.956     0.981     0.968     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.962     1.000     0.981     177.0
 B-depart_time.period_of_day      1.000     0.931     0.964     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.770     1.000     0.870      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.981     1.000     0.990      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.865     0.561     0.681      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.943     0.971     0.957      34.0
 B-arrive_time.time_relative      0.935     0.935     0.935      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      0.971     0.971     0.971      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.441     1.000     0.612      15.0
      B-fromloc.airport_name      0.440     0.917     0.595      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.407     1.000     0.579      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.806     0.893     0.847      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.929     0.433     0.591      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      1.000     1.000     1.000       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     1.000     1.000       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      1.000     0.667     0.800       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.500     0.667       4.0
      B-arrive_time.end_time      0.875     0.875     0.875       8.0
      I-arrive_time.end_time      0.875     0.875     0.875       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.333     0.500       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.750     0.857       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     1.000     1.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.667     0.667     0.667       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.952     0.954     0.953    3657.0
                   macro avg      0.679     0.652     0.652    3657.0
                weighted avg      0.955     0.954     0.949    3657.0

INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 7500 | Loss: 1.3934 | Loss_intent: 1.1037 | Loss_slots: 0.2897 | Spent: 4.6 secs | LR: 0.000445
INFO:tensorflow:Step 7550 | Loss: 1.4399 | Loss_intent: 1.0905 | Loss_slots: 0.3494 | Spent: 2.4 secs | LR: 0.000438
INFO:tensorflow:Step 7600 | Loss: 1.4887 | Loss_intent: 1.1044 | Loss_slots: 0.3843 | Spent: 2.4 secs | LR: 0.000431
INFO:tensorflow:Step 7650 | Loss: 1.4100 | Loss_intent: 1.0803 | Loss_slots: 0.3296 | Spent: 2.2 secs | LR: 0.000424
INFO:tensorflow:Step 7700 | Loss: 1.3615 | Loss_intent: 1.0825 | Loss_slots: 0.2791 | Spent: 2.3 secs | LR: 0.000417
INFO:tensorflow:Step 7750 | Loss: 1.4774 | Loss_intent: 1.0804 | Loss_slots: 0.3970 | Spent: 2.2 secs | LR: 0.000410
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 7800 | Loss: 1.3985 | Loss_intent: 1.0809 | Loss_slots: 0.3176 | Spent: 4.5 secs | LR: 0.000403
INFO:tensorflow:Step 7850 | Loss: 1.4286 | Loss_intent: 1.0816 | Loss_slots: 0.3470 | Spent: 2.3 secs | LR: 0.000396
INFO:tensorflow:Step 7900 | Loss: 1.4672 | Loss_intent: 1.0816 | Loss_slots: 0.3855 | Spent: 2.3 secs | LR: 0.000389
INFO:tensorflow:Step 7950 | Loss: 1.3231 | Loss_intent: 1.0810 | Loss_slots: 0.2421 | Spent: 2.3 secs | LR: 0.000382
INFO:tensorflow:Step 8000 | Loss: 1.4970 | Loss_intent: 1.0813 | Loss_slots: 0.4157 | Spent: 2.5 secs | LR: 0.000375
INFO:tensorflow:Step 8050 | Loss: 1.4397 | Loss_intent: 1.0809 | Loss_slots: 0.3588 | Spent: 2.2 secs | LR: 0.000368
INFO:tensorflow:Step 8100 | Loss: 1.4118 | Loss_intent: 1.0816 | Loss_slots: 0.3302 | Spent: 2.3 secs | LR: 0.000361
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.971
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 8150 | Loss: 1.3751 | Loss_intent: 1.0857 | Loss_slots: 0.2894 | Spent: 4.4 secs | LR: 0.000354
INFO:tensorflow:Step 8200 | Loss: 1.4044 | Loss_intent: 1.0812 | Loss_slots: 0.3231 | Spent: 2.2 secs | LR: 0.000347
INFO:tensorflow:Step 8250 | Loss: 1.4505 | Loss_intent: 1.0815 | Loss_slots: 0.3689 | Spent: 2.3 secs | LR: 0.000340
INFO:tensorflow:Step 8300 | Loss: 1.3508 | Loss_intent: 1.0827 | Loss_slots: 0.2681 | Spent: 2.4 secs | LR: 0.000333
INFO:tensorflow:Step 8350 | Loss: 1.4642 | Loss_intent: 1.0809 | Loss_slots: 0.3833 | Spent: 2.4 secs | LR: 0.000326
INFO:tensorflow:Step 8400 | Loss: 1.4270 | Loss_intent: 1.0804 | Loss_slots: 0.3466 | Spent: 2.2 secs | LR: 0.000319
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 8450 | Loss: 1.4305 | Loss_intent: 1.0808 | Loss_slots: 0.3497 | Spent: 4.6 secs | LR: 0.000312
INFO:tensorflow:Step 8500 | Loss: 1.3193 | Loss_intent: 1.0803 | Loss_slots: 0.2390 | Spent: 2.2 secs | LR: 0.000305
INFO:tensorflow:Step 8550 | Loss: 1.3525 | Loss_intent: 1.0811 | Loss_slots: 0.2715 | Spent: 2.2 secs | LR: 0.000298
INFO:tensorflow:Step 8600 | Loss: 1.3776 | Loss_intent: 1.0811 | Loss_slots: 0.2965 | Spent: 2.4 secs | LR: 0.000291
INFO:tensorflow:Step 8650 | Loss: 1.3529 | Loss_intent: 1.0815 | Loss_slots: 0.2714 | Spent: 2.3 secs | LR: 0.000284
INFO:tensorflow:Step 8700 | Loss: 1.3497 | Loss_intent: 1.0813 | Loss_slots: 0.2684 | Spent: 2.2 secs | LR: 0.000277
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 8750 | Loss: 1.4449 | Loss_intent: 1.0800 | Loss_slots: 0.3650 | Spent: 4.6 secs | LR: 0.000270
INFO:tensorflow:Step 8800 | Loss: 1.4037 | Loss_intent: 1.0810 | Loss_slots: 0.3227 | Spent: 2.3 secs | LR: 0.000263
INFO:tensorflow:Step 8850 | Loss: 1.4356 | Loss_intent: 1.0805 | Loss_slots: 0.3551 | Spent: 2.2 secs | LR: 0.000256
INFO:tensorflow:Step 8900 | Loss: 1.4690 | Loss_intent: 1.0803 | Loss_slots: 0.3887 | Spent: 2.2 secs | LR: 0.000248
INFO:tensorflow:Step 8950 | Loss: 1.3644 | Loss_intent: 1.0813 | Loss_slots: 0.2831 | Spent: 2.4 secs | LR: 0.000241
INFO:tensorflow:Step 9000 | Loss: 1.3809 | Loss_intent: 1.0847 | Loss_slots: 0.2961 | Spent: 2.3 secs | LR: 0.000234
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 9050 | Loss: 1.3990 | Loss_intent: 1.0848 | Loss_slots: 0.3142 | Spent: 4.6 secs | LR: 0.000227
INFO:tensorflow:Step 9100 | Loss: 1.4467 | Loss_intent: 1.0823 | Loss_slots: 0.3644 | Spent: 2.2 secs | LR: 0.000220
INFO:tensorflow:Step 9150 | Loss: 1.3325 | Loss_intent: 1.0810 | Loss_slots: 0.2515 | Spent: 2.2 secs | LR: 0.000213
INFO:tensorflow:Step 9200 | Loss: 1.2813 | Loss_intent: 1.0803 | Loss_slots: 0.2010 | Spent: 2.2 secs | LR: 0.000206
INFO:tensorflow:Step 9250 | Loss: 1.3494 | Loss_intent: 1.0830 | Loss_slots: 0.2664 | Spent: 2.2 secs | LR: 0.000199
INFO:tensorflow:Step 9300 | Loss: 1.4111 | Loss_intent: 1.0822 | Loss_slots: 0.3290 | Spent: 2.5 secs | LR: 0.000192
INFO:tensorflow:Step 9350 | Loss: 1.4183 | Loss_intent: 1.0806 | Loss_slots: 0.3377 | Spent: 2.3 secs | LR: 0.000185
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 9400 | Loss: 1.4264 | Loss_intent: 1.0824 | Loss_slots: 0.3440 | Spent: 4.7 secs | LR: 0.000178
INFO:tensorflow:Step 9450 | Loss: 1.3186 | Loss_intent: 1.0801 | Loss_slots: 0.2384 | Spent: 2.2 secs | LR: 0.000171
INFO:tensorflow:Step 9500 | Loss: 1.3728 | Loss_intent: 1.0806 | Loss_slots: 0.2922 | Spent: 2.3 secs | LR: 0.000164
INFO:tensorflow:Step 9550 | Loss: 1.3782 | Loss_intent: 1.0855 | Loss_slots: 0.2927 | Spent: 2.5 secs | LR: 0.000157
INFO:tensorflow:Step 9600 | Loss: 1.4578 | Loss_intent: 1.0809 | Loss_slots: 0.3769 | Spent: 2.4 secs | LR: 0.000150
INFO:tensorflow:Step 9650 | Loss: 1.3913 | Loss_intent: 1.0810 | Loss_slots: 0.3103 | Spent: 2.2 secs | LR: 0.000143
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 9700 | Loss: 1.4349 | Loss_intent: 1.0799 | Loss_slots: 0.3550 | Spent: 4.6 secs | LR: 0.000136
INFO:tensorflow:Step 9750 | Loss: 1.4217 | Loss_intent: 1.0840 | Loss_slots: 0.3377 | Spent: 2.4 secs | LR: 0.000129
INFO:tensorflow:Step 9800 | Loss: 1.4775 | Loss_intent: 1.0801 | Loss_slots: 0.3974 | Spent: 2.4 secs | LR: 0.000122
INFO:tensorflow:Step 9850 | Loss: 1.4117 | Loss_intent: 1.0811 | Loss_slots: 0.3306 | Spent: 2.3 secs | LR: 0.000115
INFO:tensorflow:Step 9900 | Loss: 1.3769 | Loss_intent: 1.0816 | Loss_slots: 0.2953 | Spent: 2.3 secs | LR: 0.000108
INFO:tensorflow:Step 9950 | Loss: 1.3596 | Loss_intent: 1.0804 | Loss_slots: 0.2792 | Spent: 2.6 secs | LR: 0.000101
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.975
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.978     0.992     0.985       632
                            atis_airfare      0.959     0.979     0.969        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.833     0.417     0.556        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     1.000     1.000        21
                          atis_flight_no      0.889     1.000     0.941         8
                               atis_meal      1.000     0.833     0.909         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.975     0.981     0.978       888
                               macro avg      0.686     0.674     0.670       888
                            weighted avg      0.977     0.981     0.977       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.971     0.992     0.981     716.0
         B-fromloc.city_name      0.983     0.999     0.991     704.0
           I-toloc.city_name      0.959     0.981     0.970     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.962     1.000     0.981     177.0
 B-depart_time.period_of_day      1.000     0.931     0.964     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.836     0.982     0.903      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.981     1.000     0.990      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.889     0.561     0.688      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.971     0.971     0.971      34.0
 B-arrive_time.time_relative      0.967     0.935     0.951      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      1.000     0.971     0.986      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.441     1.000     0.612      15.0
      B-fromloc.airport_name      0.440     0.917     0.595      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.333     1.000     0.500      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.806     0.893     0.847      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.938     0.500     0.652      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      1.000     1.000     1.000       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     1.000     1.000       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      0.667     0.667     0.667       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.750     0.857       4.0
      B-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.333     0.500       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.500     0.667       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     1.000     1.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.750     1.000     0.857       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.953     0.954     0.954    3657.0
                   macro avg      0.678     0.658     0.655    3657.0
                weighted avg      0.957     0.954     0.951    3657.0

INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 10000 | Loss: 1.3389 | Loss_intent: 1.0815 | Loss_slots: 0.2574 | Spent: 4.7 secs | LR: 0.000103
INFO:tensorflow:Step 10050 | Loss: 1.3633 | Loss_intent: 1.0805 | Loss_slots: 0.2827 | Spent: 2.3 secs | LR: 0.000107
INFO:tensorflow:Step 10100 | Loss: 1.3579 | Loss_intent: 1.0801 | Loss_slots: 0.2778 | Spent: 2.3 secs | LR: 0.000110
INFO:tensorflow:Step 10150 | Loss: 1.4119 | Loss_intent: 1.0800 | Loss_slots: 0.3319 | Spent: 2.2 secs | LR: 0.000114
INFO:tensorflow:Step 10200 | Loss: 1.3679 | Loss_intent: 1.0801 | Loss_slots: 0.2878 | Spent: 2.2 secs | LR: 0.000117
INFO:tensorflow:Step 10250 | Loss: 1.5024 | Loss_intent: 1.0803 | Loss_slots: 0.4221 | Spent: 2.4 secs | LR: 0.000121
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 10300 | Loss: 1.3109 | Loss_intent: 1.0800 | Loss_slots: 0.2309 | Spent: 4.6 secs | LR: 0.000124
INFO:tensorflow:Step 10350 | Loss: 1.3746 | Loss_intent: 1.0820 | Loss_slots: 0.2926 | Spent: 2.3 secs | LR: 0.000128
INFO:tensorflow:Step 10400 | Loss: 1.4990 | Loss_intent: 1.0825 | Loss_slots: 0.4166 | Spent: 2.3 secs | LR: 0.000131
INFO:tensorflow:Step 10450 | Loss: 1.3896 | Loss_intent: 1.0811 | Loss_slots: 0.3086 | Spent: 2.3 secs | LR: 0.000135
INFO:tensorflow:Step 10500 | Loss: 1.3723 | Loss_intent: 1.0811 | Loss_slots: 0.2912 | Spent: 2.4 secs | LR: 0.000138
INFO:tensorflow:Step 10550 | Loss: 1.3410 | Loss_intent: 1.0804 | Loss_slots: 0.2606 | Spent: 2.3 secs | LR: 0.000142
INFO:tensorflow:Step 10600 | Loss: 1.4233 | Loss_intent: 1.0829 | Loss_slots: 0.3404 | Spent: 2.2 secs | LR: 0.000145
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 10650 | Loss: 1.3354 | Loss_intent: 1.0818 | Loss_slots: 0.2536 | Spent: 4.6 secs | LR: 0.000149
INFO:tensorflow:Step 10700 | Loss: 1.3649 | Loss_intent: 1.0815 | Loss_slots: 0.2834 | Spent: 2.3 secs | LR: 0.000152
INFO:tensorflow:Step 10750 | Loss: 1.3587 | Loss_intent: 1.0802 | Loss_slots: 0.2785 | Spent: 2.3 secs | LR: 0.000156
INFO:tensorflow:Step 10800 | Loss: 1.4459 | Loss_intent: 1.0808 | Loss_slots: 0.3651 | Spent: 2.3 secs | LR: 0.000159
INFO:tensorflow:Step 10850 | Loss: 1.4321 | Loss_intent: 1.0807 | Loss_slots: 0.3514 | Spent: 2.4 secs | LR: 0.000163
INFO:tensorflow:Step 10900 | Loss: 1.3040 | Loss_intent: 1.0800 | Loss_slots: 0.2240 | Spent: 2.4 secs | LR: 0.000166
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 10950 | Loss: 1.3147 | Loss_intent: 1.0812 | Loss_slots: 0.2335 | Spent: 4.7 secs | LR: 0.000170
INFO:tensorflow:Step 11000 | Loss: 1.3272 | Loss_intent: 1.0826 | Loss_slots: 0.2447 | Spent: 2.2 secs | LR: 0.000173
INFO:tensorflow:Step 11050 | Loss: 1.3719 | Loss_intent: 1.0851 | Loss_slots: 0.2868 | Spent: 2.3 secs | LR: 0.000177
INFO:tensorflow:Step 11100 | Loss: 1.4048 | Loss_intent: 1.0808 | Loss_slots: 0.3240 | Spent: 2.4 secs | LR: 0.000180
INFO:tensorflow:Step 11150 | Loss: 1.3998 | Loss_intent: 1.0812 | Loss_slots: 0.3186 | Spent: 2.4 secs | LR: 0.000184
INFO:tensorflow:Step 11200 | Loss: 1.2813 | Loss_intent: 1.0930 | Loss_slots: 0.1884 | Spent: 2.4 secs | LR: 0.000187
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 11250 | Loss: 1.3821 | Loss_intent: 1.0804 | Loss_slots: 0.3017 | Spent: 4.8 secs | LR: 0.000191
INFO:tensorflow:Step 11300 | Loss: 1.3881 | Loss_intent: 1.0842 | Loss_slots: 0.3039 | Spent: 2.3 secs | LR: 0.000194
INFO:tensorflow:Step 11350 | Loss: 1.3916 | Loss_intent: 1.0803 | Loss_slots: 0.3112 | Spent: 2.2 secs | LR: 0.000198
INFO:tensorflow:Step 11400 | Loss: 1.3774 | Loss_intent: 1.0801 | Loss_slots: 0.2973 | Spent: 2.3 secs | LR: 0.000202
INFO:tensorflow:Step 11450 | Loss: 1.4554 | Loss_intent: 1.0826 | Loss_slots: 0.3728 | Spent: 2.2 secs | LR: 0.000205
INFO:tensorflow:Step 11500 | Loss: 1.3871 | Loss_intent: 1.0827 | Loss_slots: 0.3044 | Spent: 2.2 secs | LR: 0.000209
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 11550 | Loss: 1.3611 | Loss_intent: 1.0815 | Loss_slots: 0.2796 | Spent: 4.5 secs | LR: 0.000212
INFO:tensorflow:Step 11600 | Loss: 1.4197 | Loss_intent: 1.0803 | Loss_slots: 0.3393 | Spent: 2.3 secs | LR: 0.000216
INFO:tensorflow:Step 11650 | Loss: 1.3851 | Loss_intent: 1.0846 | Loss_slots: 0.3005 | Spent: 2.3 secs | LR: 0.000219
INFO:tensorflow:Step 11700 | Loss: 1.4187 | Loss_intent: 1.0804 | Loss_slots: 0.3384 | Spent: 2.3 secs | LR: 0.000223
INFO:tensorflow:Step 11750 | Loss: 1.4991 | Loss_intent: 1.0804 | Loss_slots: 0.4187 | Spent: 2.3 secs | LR: 0.000226
INFO:tensorflow:Step 11800 | Loss: 1.3755 | Loss_intent: 1.0805 | Loss_slots: 0.2949 | Spent: 2.2 secs | LR: 0.000230
INFO:tensorflow:Step 11850 | Loss: 1.4883 | Loss_intent: 1.0814 | Loss_slots: 0.4069 | Spent: 2.3 secs | LR: 0.000233
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 11900 | Loss: 1.4296 | Loss_intent: 1.0802 | Loss_slots: 0.3494 | Spent: 4.6 secs | LR: 0.000237
INFO:tensorflow:Step 11950 | Loss: 1.3910 | Loss_intent: 1.0807 | Loss_slots: 0.3103 | Spent: 2.3 secs | LR: 0.000240
INFO:tensorflow:Step 12000 | Loss: 1.3469 | Loss_intent: 1.0816 | Loss_slots: 0.2653 | Spent: 2.3 secs | LR: 0.000244
INFO:tensorflow:Step 12050 | Loss: 1.4254 | Loss_intent: 1.0800 | Loss_slots: 0.3454 | Spent: 2.4 secs | LR: 0.000247
INFO:tensorflow:Step 12100 | Loss: 1.4593 | Loss_intent: 1.0819 | Loss_slots: 0.3774 | Spent: 2.2 secs | LR: 0.000251
INFO:tensorflow:Step 12150 | Loss: 1.3686 | Loss_intent: 1.0806 | Loss_slots: 0.2879 | Spent: 2.4 secs | LR: 0.000254
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.973
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 12200 | Loss: 1.3677 | Loss_intent: 1.0812 | Loss_slots: 0.2864 | Spent: 4.6 secs | LR: 0.000258
INFO:tensorflow:Step 12250 | Loss: 1.4043 | Loss_intent: 1.0829 | Loss_slots: 0.3215 | Spent: 2.2 secs | LR: 0.000261
INFO:tensorflow:Step 12300 | Loss: 1.3701 | Loss_intent: 1.0800 | Loss_slots: 0.2901 | Spent: 2.4 secs | LR: 0.000265
INFO:tensorflow:Step 12350 | Loss: 1.2878 | Loss_intent: 1.0802 | Loss_slots: 0.2076 | Spent: 2.3 secs | LR: 0.000268
INFO:tensorflow:Step 12400 | Loss: 1.3679 | Loss_intent: 1.0834 | Loss_slots: 0.2845 | Spent: 2.3 secs | LR: 0.000272
INFO:tensorflow:Step 12450 | Loss: 1.4900 | Loss_intent: 1.0805 | Loss_slots: 0.4096 | Spent: 2.4 secs | LR: 0.000275
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.974
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.977     0.991     0.984       632
                            atis_airfare      0.979     0.979     0.979        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.833     0.417     0.556        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     1.000     1.000        21
                          atis_flight_no      0.889     1.000     0.941         8
                               atis_meal      0.833     0.833     0.833         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.974     0.980     0.977       888
                               macro avg      0.679     0.674     0.667       888
                            weighted avg      0.976     0.980     0.976       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.973     0.990     0.981     716.0
         B-fromloc.city_name      0.983     0.999     0.991     704.0
           I-toloc.city_name      0.974     0.974     0.974     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.952     1.000     0.975     177.0
 B-depart_time.period_of_day      1.000     0.923     0.960     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.789     0.982     0.875      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.981     1.000     0.990      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.868     0.579     0.695      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.971     0.971     0.971      34.0
 B-arrive_time.time_relative      0.967     0.935     0.951      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      1.000     0.971     0.986      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.441     1.000     0.612      15.0
      B-fromloc.airport_name      0.440     0.917     0.595      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.379     1.000     0.550      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.806     0.893     0.847      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.857     1.000     0.923       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.947     0.600     0.735      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      0.833     1.000     0.909       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     1.000     1.000       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      0.667     0.667     0.667       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.750     0.857       4.0
      B-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.333     0.500       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     1.000     1.000       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     1.000     1.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.750     1.000     0.857       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.953     0.955     0.954    3657.0
                   macro avg      0.677     0.663     0.658    3657.0
                weighted avg      0.957     0.955     0.951    3657.0

INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 12500 | Loss: 1.3219 | Loss_intent: 1.0807 | Loss_slots: 0.2412 | Spent: 4.5 secs | LR: 0.000271
INFO:tensorflow:Step 12550 | Loss: 1.4554 | Loss_intent: 1.0852 | Loss_slots: 0.3703 | Spent: 2.3 secs | LR: 0.000268
INFO:tensorflow:Step 12600 | Loss: 1.4072 | Loss_intent: 1.0798 | Loss_slots: 0.3274 | Spent: 2.6 secs | LR: 0.000264
INFO:tensorflow:Step 12650 | Loss: 1.4616 | Loss_intent: 1.0800 | Loss_slots: 0.3816 | Spent: 2.5 secs | LR: 0.000261
INFO:tensorflow:Step 12700 | Loss: 1.4759 | Loss_intent: 1.0802 | Loss_slots: 0.3957 | Spent: 2.3 secs | LR: 0.000257
INFO:tensorflow:Step 12750 | Loss: 1.5056 | Loss_intent: 1.0838 | Loss_slots: 0.4217 | Spent: 2.3 secs | LR: 0.000254
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 12800 | Loss: 1.4236 | Loss_intent: 1.0808 | Loss_slots: 0.3427 | Spent: 4.7 secs | LR: 0.000250
INFO:tensorflow:Step 12850 | Loss: 1.5067 | Loss_intent: 1.0800 | Loss_slots: 0.4268 | Spent: 2.3 secs | LR: 0.000247
INFO:tensorflow:Step 12900 | Loss: 1.2615 | Loss_intent: 1.0827 | Loss_slots: 0.1788 | Spent: 2.3 secs | LR: 0.000243
INFO:tensorflow:Step 12950 | Loss: 1.3280 | Loss_intent: 1.0804 | Loss_slots: 0.2477 | Spent: 2.2 secs | LR: 0.000239
INFO:tensorflow:Step 13000 | Loss: 1.2738 | Loss_intent: 1.0810 | Loss_slots: 0.1928 | Spent: 2.3 secs | LR: 0.000236
INFO:tensorflow:Step 13050 | Loss: 1.2987 | Loss_intent: 1.0804 | Loss_slots: 0.2184 | Spent: 2.2 secs | LR: 0.000232
INFO:tensorflow:Step 13100 | Loss: 1.3502 | Loss_intent: 1.0799 | Loss_slots: 0.2703 | Spent: 2.4 secs | LR: 0.000229
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 13150 | Loss: 1.3732 | Loss_intent: 1.0825 | Loss_slots: 0.2907 | Spent: 4.6 secs | LR: 0.000225
INFO:tensorflow:Step 13200 | Loss: 1.4630 | Loss_intent: 1.0864 | Loss_slots: 0.3766 | Spent: 2.3 secs | LR: 0.000222
INFO:tensorflow:Step 13250 | Loss: 1.3871 | Loss_intent: 1.0874 | Loss_slots: 0.2997 | Spent: 2.6 secs | LR: 0.000218
INFO:tensorflow:Step 13300 | Loss: 1.3100 | Loss_intent: 1.0804 | Loss_slots: 0.2296 | Spent: 2.5 secs | LR: 0.000215
INFO:tensorflow:Step 13350 | Loss: 1.4268 | Loss_intent: 1.0809 | Loss_slots: 0.3459 | Spent: 2.3 secs | LR: 0.000211
INFO:tensorflow:Step 13400 | Loss: 1.3799 | Loss_intent: 1.0810 | Loss_slots: 0.2989 | Spent: 2.2 secs | LR: 0.000208
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 13450 | Loss: 1.3656 | Loss_intent: 1.0802 | Loss_slots: 0.2853 | Spent: 4.6 secs | LR: 0.000204
INFO:tensorflow:Step 13500 | Loss: 1.3523 | Loss_intent: 1.0807 | Loss_slots: 0.2716 | Spent: 2.3 secs | LR: 0.000201
INFO:tensorflow:Step 13550 | Loss: 1.3628 | Loss_intent: 1.0801 | Loss_slots: 0.2827 | Spent: 2.4 secs | LR: 0.000197
INFO:tensorflow:Step 13600 | Loss: 1.3673 | Loss_intent: 1.0845 | Loss_slots: 0.2828 | Spent: 2.3 secs | LR: 0.000194
INFO:tensorflow:Step 13650 | Loss: 1.3172 | Loss_intent: 1.0828 | Loss_slots: 0.2344 | Spent: 2.3 secs | LR: 0.000190
INFO:tensorflow:Step 13700 | Loss: 1.3841 | Loss_intent: 1.0798 | Loss_slots: 0.3043 | Spent: 2.3 secs | LR: 0.000187
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 13750 | Loss: 1.4781 | Loss_intent: 1.0800 | Loss_slots: 0.3981 | Spent: 4.6 secs | LR: 0.000183
INFO:tensorflow:Step 13800 | Loss: 1.3806 | Loss_intent: 1.0820 | Loss_slots: 0.2986 | Spent: 2.3 secs | LR: 0.000180
INFO:tensorflow:Step 13850 | Loss: 1.5341 | Loss_intent: 1.0801 | Loss_slots: 0.4541 | Spent: 2.3 secs | LR: 0.000176
INFO:tensorflow:Step 13900 | Loss: 1.3629 | Loss_intent: 1.0812 | Loss_slots: 0.2816 | Spent: 2.2 secs | LR: 0.000173
INFO:tensorflow:Step 13950 | Loss: 1.3766 | Loss_intent: 1.0807 | Loss_slots: 0.2959 | Spent: 2.4 secs | LR: 0.000169
INFO:tensorflow:Step 14000 | Loss: 1.4927 | Loss_intent: 1.0803 | Loss_slots: 0.4124 | Spent: 2.3 secs | LR: 0.000166
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 14050 | Loss: 1.2667 | Loss_intent: 1.0801 | Loss_slots: 0.1866 | Spent: 4.6 secs | LR: 0.000162
INFO:tensorflow:Step 14100 | Loss: 1.3130 | Loss_intent: 1.0805 | Loss_slots: 0.2325 | Spent: 2.5 secs | LR: 0.000159
INFO:tensorflow:Step 14150 | Loss: 1.3575 | Loss_intent: 1.0804 | Loss_slots: 0.2771 | Spent: 2.2 secs | LR: 0.000155
INFO:tensorflow:Step 14200 | Loss: 1.4196 | Loss_intent: 1.0799 | Loss_slots: 0.3397 | Spent: 2.4 secs | LR: 0.000152
INFO:tensorflow:Step 14250 | Loss: 1.3838 | Loss_intent: 1.0804 | Loss_slots: 0.3034 | Spent: 2.3 secs | LR: 0.000148
INFO:tensorflow:Step 14300 | Loss: 1.3470 | Loss_intent: 1.0803 | Loss_slots: 0.2666 | Spent: 2.5 secs | LR: 0.000145
INFO:tensorflow:Step 14350 | Loss: 1.3753 | Loss_intent: 1.0810 | Loss_slots: 0.2942 | Spent: 2.3 secs | LR: 0.000141
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 14400 | Loss: 1.4326 | Loss_intent: 1.0801 | Loss_slots: 0.3525 | Spent: 4.6 secs | LR: 0.000138
INFO:tensorflow:Step 14450 | Loss: 1.4461 | Loss_intent: 1.0807 | Loss_slots: 0.3654 | Spent: 2.2 secs | LR: 0.000134
INFO:tensorflow:Step 14500 | Loss: 1.3936 | Loss_intent: 1.0815 | Loss_slots: 0.3121 | Spent: 2.5 secs | LR: 0.000131
INFO:tensorflow:Step 14550 | Loss: 1.3186 | Loss_intent: 1.0802 | Loss_slots: 0.2385 | Spent: 2.2 secs | LR: 0.000127
INFO:tensorflow:Step 14600 | Loss: 1.3022 | Loss_intent: 1.0799 | Loss_slots: 0.2223 | Spent: 2.3 secs | LR: 0.000123
INFO:tensorflow:Step 14650 | Loss: 1.3306 | Loss_intent: 1.0828 | Loss_slots: 0.2478 | Spent: 2.3 secs | LR: 0.000120
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 14700 | Loss: 1.4357 | Loss_intent: 1.0802 | Loss_slots: 0.3555 | Spent: 4.6 secs | LR: 0.000116
INFO:tensorflow:Step 14750 | Loss: 1.3984 | Loss_intent: 1.0801 | Loss_slots: 0.3184 | Spent: 2.4 secs | LR: 0.000113
INFO:tensorflow:Step 14800 | Loss: 1.4364 | Loss_intent: 1.0805 | Loss_slots: 0.3559 | Spent: 2.2 secs | LR: 0.000109
INFO:tensorflow:Step 14850 | Loss: 1.3751 | Loss_intent: 1.0804 | Loss_slots: 0.2947 | Spent: 2.4 secs | LR: 0.000106
INFO:tensorflow:Step 14900 | Loss: 1.3735 | Loss_intent: 1.0799 | Loss_slots: 0.2936 | Spent: 2.3 secs | LR: 0.000102
INFO:tensorflow:Step 14950 | Loss: 1.4852 | Loss_intent: 1.0801 | Loss_slots: 0.4050 | Spent: 2.3 secs | LR: 0.000101
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.978     0.991     0.984       632
                            atis_airfare      0.959     0.979     0.969        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.714     0.417     0.526        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     1.000     1.000        21
                          atis_flight_no      1.000     1.000     1.000         8
                               atis_meal      0.833     0.833     0.833         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.974     0.980     0.977       888
                               macro avg      0.678     0.674     0.667       888
                            weighted avg      0.975     0.980     0.976       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.971     0.992     0.981     716.0
         B-fromloc.city_name      0.985     0.999     0.992     704.0
           I-toloc.city_name      0.959     0.981     0.970     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.962     1.000     0.981     177.0
 B-depart_time.period_of_day      1.000     0.923     0.960     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.770     1.000     0.870      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.981     1.000     0.990      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.821     0.561     0.667      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.971     0.971     0.971      34.0
 B-arrive_time.time_relative      0.967     0.935     0.951      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      1.000     0.971     0.986      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.441     1.000     0.612      15.0
      B-fromloc.airport_name      0.440     0.917     0.595      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.407     1.000     0.579      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.862     0.893     0.877      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.933     0.467     0.622      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      0.833     1.000     0.909       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     1.000     1.000       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      1.000     0.667     0.800       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.750     0.857       4.0
      B-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.333     0.500       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.500     0.667       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     1.000     1.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.750     1.000     0.857       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.952     0.954     0.953    3657.0
                   macro avg      0.679     0.657     0.655    3657.0
                weighted avg      0.956     0.954     0.950    3657.0

INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 15000 | Loss: 1.3776 | Loss_intent: 1.0802 | Loss_slots: 0.2973 | Spent: 4.6 secs | LR: 0.000102
INFO:tensorflow:Step 15050 | Loss: 1.3004 | Loss_intent: 1.0803 | Loss_slots: 0.2201 | Spent: 2.4 secs | LR: 0.000104
INFO:tensorflow:Step 15100 | Loss: 1.3882 | Loss_intent: 1.0803 | Loss_slots: 0.3079 | Spent: 2.4 secs | LR: 0.000106
INFO:tensorflow:Step 15150 | Loss: 1.3459 | Loss_intent: 1.0807 | Loss_slots: 0.2652 | Spent: 2.3 secs | LR: 0.000108
INFO:tensorflow:Step 15200 | Loss: 1.3067 | Loss_intent: 1.0805 | Loss_slots: 0.2263 | Spent: 2.6 secs | LR: 0.000109
INFO:tensorflow:Step 15250 | Loss: 1.3938 | Loss_intent: 1.0798 | Loss_slots: 0.3140 | Spent: 2.3 secs | LR: 0.000111
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 15300 | Loss: 1.4412 | Loss_intent: 1.0803 | Loss_slots: 0.3608 | Spent: 4.4 secs | LR: 0.000113
INFO:tensorflow:Step 15350 | Loss: 1.3178 | Loss_intent: 1.0801 | Loss_slots: 0.2377 | Spent: 2.3 secs | LR: 0.000115
INFO:tensorflow:Step 15400 | Loss: 1.3389 | Loss_intent: 1.0801 | Loss_slots: 0.2588 | Spent: 2.2 secs | LR: 0.000116
INFO:tensorflow:Step 15450 | Loss: 1.2835 | Loss_intent: 1.0802 | Loss_slots: 0.2033 | Spent: 2.3 secs | LR: 0.000118
INFO:tensorflow:Step 15500 | Loss: 1.3697 | Loss_intent: 1.0806 | Loss_slots: 0.2891 | Spent: 2.3 secs | LR: 0.000120
INFO:tensorflow:Step 15550 | Loss: 1.4023 | Loss_intent: 1.0808 | Loss_slots: 0.3215 | Spent: 2.3 secs | LR: 0.000122
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 15600 | Loss: 1.3692 | Loss_intent: 1.0797 | Loss_slots: 0.2894 | Spent: 4.6 secs | LR: 0.000123
INFO:tensorflow:Step 15650 | Loss: 1.3997 | Loss_intent: 1.0807 | Loss_slots: 0.3190 | Spent: 2.3 secs | LR: 0.000125
INFO:tensorflow:Step 15700 | Loss: 1.2504 | Loss_intent: 1.0808 | Loss_slots: 0.1696 | Spent: 2.4 secs | LR: 0.000127
INFO:tensorflow:Step 15750 | Loss: 1.3668 | Loss_intent: 1.0817 | Loss_slots: 0.2851 | Spent: 2.3 secs | LR: 0.000129
INFO:tensorflow:Step 15800 | Loss: 1.3968 | Loss_intent: 1.0799 | Loss_slots: 0.3169 | Spent: 2.3 secs | LR: 0.000130
INFO:tensorflow:Step 15850 | Loss: 1.4957 | Loss_intent: 1.0806 | Loss_slots: 0.4151 | Spent: 2.3 secs | LR: 0.000132
INFO:tensorflow:Step 15900 | Loss: 1.4032 | Loss_intent: 1.0800 | Loss_slots: 0.3232 | Spent: 2.3 secs | LR: 0.000134
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 15950 | Loss: 1.4027 | Loss_intent: 1.0809 | Loss_slots: 0.3218 | Spent: 4.5 secs | LR: 0.000136
INFO:tensorflow:Step 16000 | Loss: 1.3068 | Loss_intent: 1.0811 | Loss_slots: 0.2257 | Spent: 2.3 secs | LR: 0.000137
INFO:tensorflow:Step 16050 | Loss: 1.3799 | Loss_intent: 1.0829 | Loss_slots: 0.2970 | Spent: 2.3 secs | LR: 0.000139
INFO:tensorflow:Step 16100 | Loss: 1.4974 | Loss_intent: 1.0800 | Loss_slots: 0.4174 | Spent: 2.3 secs | LR: 0.000141
INFO:tensorflow:Step 16150 | Loss: 1.3948 | Loss_intent: 1.0799 | Loss_slots: 0.3149 | Spent: 2.3 secs | LR: 0.000143
INFO:tensorflow:Step 16200 | Loss: 1.4663 | Loss_intent: 1.0800 | Loss_slots: 0.3863 | Spent: 2.3 secs | LR: 0.000145
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 16250 | Loss: 1.4574 | Loss_intent: 1.0819 | Loss_slots: 0.3756 | Spent: 4.8 secs | LR: 0.000146
INFO:tensorflow:Step 16300 | Loss: 1.4135 | Loss_intent: 1.0824 | Loss_slots: 0.3311 | Spent: 2.3 secs | LR: 0.000148
INFO:tensorflow:Step 16350 | Loss: 1.4771 | Loss_intent: 1.0803 | Loss_slots: 0.3968 | Spent: 2.3 secs | LR: 0.000150
INFO:tensorflow:Step 16400 | Loss: 1.3864 | Loss_intent: 1.0808 | Loss_slots: 0.3056 | Spent: 2.3 secs | LR: 0.000152
INFO:tensorflow:Step 16450 | Loss: 1.3792 | Loss_intent: 1.0802 | Loss_slots: 0.2991 | Spent: 2.3 secs | LR: 0.000153
INFO:tensorflow:Step 16500 | Loss: 1.4391 | Loss_intent: 1.0802 | Loss_slots: 0.3588 | Spent: 2.3 secs | LR: 0.000155
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 16550 | Loss: 1.3506 | Loss_intent: 1.0801 | Loss_slots: 0.2705 | Spent: 4.5 secs | LR: 0.000157
INFO:tensorflow:Step 16600 | Loss: 1.3510 | Loss_intent: 1.0822 | Loss_slots: 0.2688 | Spent: 2.4 secs | LR: 0.000159
INFO:tensorflow:Step 16650 | Loss: 1.4185 | Loss_intent: 1.0828 | Loss_slots: 0.3357 | Spent: 2.2 secs | LR: 0.000160
INFO:tensorflow:Step 16700 | Loss: 1.4633 | Loss_intent: 1.0803 | Loss_slots: 0.3830 | Spent: 2.2 secs | LR: 0.000162
INFO:tensorflow:Step 16750 | Loss: 1.3970 | Loss_intent: 1.0797 | Loss_slots: 0.3172 | Spent: 2.4 secs | LR: 0.000164
INFO:tensorflow:Step 16800 | Loss: 1.4553 | Loss_intent: 1.0798 | Loss_slots: 0.3754 | Spent: 2.3 secs | LR: 0.000166
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.954, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 16850 | Loss: 1.4070 | Loss_intent: 1.0802 | Loss_slots: 0.3269 | Spent: 4.6 secs | LR: 0.000167
INFO:tensorflow:Step 16900 | Loss: 1.4145 | Loss_intent: 1.0798 | Loss_slots: 0.3347 | Spent: 2.4 secs | LR: 0.000169
INFO:tensorflow:Step 16950 | Loss: 1.3345 | Loss_intent: 1.0805 | Loss_slots: 0.2540 | Spent: 2.5 secs | LR: 0.000171
INFO:tensorflow:Step 17000 | Loss: 1.3607 | Loss_intent: 1.0806 | Loss_slots: 0.2801 | Spent: 2.5 secs | LR: 0.000173
INFO:tensorflow:Step 17050 | Loss: 1.2934 | Loss_intent: 1.0804 | Loss_slots: 0.2131 | Spent: 2.4 secs | LR: 0.000174
INFO:tensorflow:Step 17100 | Loss: 1.4262 | Loss_intent: 1.0810 | Loss_slots: 0.3452 | Spent: 2.5 secs | LR: 0.000176
INFO:tensorflow:Step 17150 | Loss: 1.4801 | Loss_intent: 1.0802 | Loss_slots: 0.3999 | Spent: 2.2 secs | LR: 0.000178
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 17200 | Loss: 1.4131 | Loss_intent: 1.0808 | Loss_slots: 0.3323 | Spent: 4.6 secs | LR: 0.000180
INFO:tensorflow:Step 17250 | Loss: 1.2710 | Loss_intent: 1.0804 | Loss_slots: 0.1906 | Spent: 2.5 secs | LR: 0.000181
INFO:tensorflow:Step 17300 | Loss: 1.2265 | Loss_intent: 1.0808 | Loss_slots: 0.1457 | Spent: 2.3 secs | LR: 0.000183
INFO:tensorflow:Step 17350 | Loss: 1.4038 | Loss_intent: 1.0808 | Loss_slots: 0.3230 | Spent: 2.4 secs | LR: 0.000185
INFO:tensorflow:Step 17400 | Loss: 1.3625 | Loss_intent: 1.0812 | Loss_slots: 0.2813 | Spent: 2.3 secs | LR: 0.000187
INFO:tensorflow:Step 17450 | Loss: 1.4145 | Loss_intent: 1.0814 | Loss_slots: 0.3332 | Spent: 2.2 secs | LR: 0.000187
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.974
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.977     0.991     0.984       632
                            atis_airfare      0.979     0.979     0.979        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.833     0.417     0.556        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     1.000     1.000        21
                          atis_flight_no      0.889     1.000     0.941         8
                               atis_meal      0.833     0.833     0.833         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.974     0.980     0.977       888
                               macro avg      0.679     0.674     0.667       888
                            weighted avg      0.976     0.980     0.976       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.971     0.992     0.981     716.0
         B-fromloc.city_name      0.985     0.999     0.992     704.0
           I-toloc.city_name      0.959     0.981     0.970     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.962     1.000     0.981     177.0
 B-depart_time.period_of_day      1.000     0.923     0.960     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.781     1.000     0.877      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.981     1.000     0.990      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.821     0.561     0.667      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.943     0.971     0.957      34.0
 B-arrive_time.time_relative      0.967     0.935     0.951      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      1.000     0.971     0.986      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.441     1.000     0.612      15.0
      B-fromloc.airport_name      0.391     0.750     0.514      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.407     1.000     0.579      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.862     0.893     0.877      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.933     0.467     0.622      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      0.833     1.000     0.909       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      0.600     1.000     0.750       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      1.000     0.667     0.800       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      0.800     1.000     0.889       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.750     0.857       4.0
      B-arrive_time.end_time      0.875     0.875     0.875       8.0
      I-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.333     0.500       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.500     0.667       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     1.000     1.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.750     1.000     0.857       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.952     0.953     0.952    3657.0
                   macro avg      0.674     0.655     0.651    3657.0
                weighted avg      0.955     0.953     0.949    3657.0

INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 17500 | Loss: 1.4364 | Loss_intent: 1.0813 | Loss_slots: 0.3552 | Spent: 4.6 secs | LR: 0.000185
INFO:tensorflow:Step 17550 | Loss: 1.4554 | Loss_intent: 1.0801 | Loss_slots: 0.3753 | Spent: 2.4 secs | LR: 0.000183
INFO:tensorflow:Step 17600 | Loss: 1.3897 | Loss_intent: 1.0800 | Loss_slots: 0.3097 | Spent: 2.3 secs | LR: 0.000181
INFO:tensorflow:Step 17650 | Loss: 1.3525 | Loss_intent: 1.0825 | Loss_slots: 0.2700 | Spent: 2.4 secs | LR: 0.000180
INFO:tensorflow:Step 17700 | Loss: 1.4512 | Loss_intent: 1.0809 | Loss_slots: 0.3703 | Spent: 2.3 secs | LR: 0.000178
INFO:tensorflow:Step 17750 | Loss: 1.3386 | Loss_intent: 1.0817 | Loss_slots: 0.2569 | Spent: 2.3 secs | LR: 0.000176
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 17800 | Loss: 1.3088 | Loss_intent: 1.0808 | Loss_slots: 0.2280 | Spent: 4.6 secs | LR: 0.000174
INFO:tensorflow:Step 17850 | Loss: 1.4733 | Loss_intent: 1.0809 | Loss_slots: 0.3925 | Spent: 2.3 secs | LR: 0.000172
INFO:tensorflow:Step 17900 | Loss: 1.3651 | Loss_intent: 1.0800 | Loss_slots: 0.2852 | Spent: 2.2 secs | LR: 0.000171
INFO:tensorflow:Step 17950 | Loss: 1.4663 | Loss_intent: 1.0805 | Loss_slots: 0.3857 | Spent: 2.2 secs | LR: 0.000169
INFO:tensorflow:Step 18000 | Loss: 1.4404 | Loss_intent: 1.0811 | Loss_slots: 0.3594 | Spent: 2.3 secs | LR: 0.000167
INFO:tensorflow:Step 18050 | Loss: 1.3374 | Loss_intent: 1.0803 | Loss_slots: 0.2571 | Spent: 2.2 secs | LR: 0.000165
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 18100 | Loss: 1.2357 | Loss_intent: 1.0804 | Loss_slots: 0.1553 | Spent: 4.6 secs | LR: 0.000164
INFO:tensorflow:Step 18150 | Loss: 1.3658 | Loss_intent: 1.0805 | Loss_slots: 0.2853 | Spent: 2.3 secs | LR: 0.000162
INFO:tensorflow:Step 18200 | Loss: 1.4616 | Loss_intent: 1.0803 | Loss_slots: 0.3812 | Spent: 2.3 secs | LR: 0.000160
INFO:tensorflow:Step 18250 | Loss: 1.4584 | Loss_intent: 1.0838 | Loss_slots: 0.3746 | Spent: 2.4 secs | LR: 0.000158
INFO:tensorflow:Step 18300 | Loss: 1.3211 | Loss_intent: 1.0810 | Loss_slots: 0.2401 | Spent: 2.7 secs | LR: 0.000157
INFO:tensorflow:Step 18350 | Loss: 1.3687 | Loss_intent: 1.0798 | Loss_slots: 0.2889 | Spent: 2.4 secs | LR: 0.000155
INFO:tensorflow:Step 18400 | Loss: 1.3144 | Loss_intent: 1.0805 | Loss_slots: 0.2339 | Spent: 2.3 secs | LR: 0.000153
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 18450 | Loss: 1.3529 | Loss_intent: 1.0816 | Loss_slots: 0.2713 | Spent: 4.6 secs | LR: 0.000151
INFO:tensorflow:Step 18500 | Loss: 1.3762 | Loss_intent: 1.0799 | Loss_slots: 0.2963 | Spent: 2.3 secs | LR: 0.000150
INFO:tensorflow:Step 18550 | Loss: 1.4320 | Loss_intent: 1.0800 | Loss_slots: 0.3520 | Spent: 2.3 secs | LR: 0.000148
INFO:tensorflow:Step 18600 | Loss: 1.4221 | Loss_intent: 1.0803 | Loss_slots: 0.3418 | Spent: 2.3 secs | LR: 0.000146
INFO:tensorflow:Step 18650 | Loss: 1.4109 | Loss_intent: 1.0809 | Loss_slots: 0.3300 | Spent: 2.4 secs | LR: 0.000144
INFO:tensorflow:Step 18700 | Loss: 1.3604 | Loss_intent: 1.0800 | Loss_slots: 0.2804 | Spent: 2.3 secs | LR: 0.000143
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 18750 | Loss: 1.3280 | Loss_intent: 1.0799 | Loss_slots: 0.2481 | Spent: 4.4 secs | LR: 0.000141
INFO:tensorflow:Step 18800 | Loss: 1.3840 | Loss_intent: 1.0807 | Loss_slots: 0.3033 | Spent: 2.3 secs | LR: 0.000139
INFO:tensorflow:Step 18850 | Loss: 1.3972 | Loss_intent: 1.0797 | Loss_slots: 0.3175 | Spent: 2.3 secs | LR: 0.000137
INFO:tensorflow:Step 18900 | Loss: 1.2458 | Loss_intent: 1.0804 | Loss_slots: 0.1654 | Spent: 2.3 secs | LR: 0.000136
INFO:tensorflow:Step 18950 | Loss: 1.3725 | Loss_intent: 1.0804 | Loss_slots: 0.2922 | Spent: 2.2 secs | LR: 0.000134
INFO:tensorflow:Step 19000 | Loss: 1.2822 | Loss_intent: 1.0811 | Loss_slots: 0.2011 | Spent: 2.2 secs | LR: 0.000132
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.974
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 19050 | Loss: 1.2943 | Loss_intent: 1.0810 | Loss_slots: 0.2133 | Spent: 4.8 secs | LR: 0.000130
INFO:tensorflow:Step 19100 | Loss: 1.4137 | Loss_intent: 1.0802 | Loss_slots: 0.3335 | Spent: 2.3 secs | LR: 0.000129
INFO:tensorflow:Step 19150 | Loss: 1.3502 | Loss_intent: 1.0799 | Loss_slots: 0.2703 | Spent: 2.4 secs | LR: 0.000127
INFO:tensorflow:Step 19200 | Loss: 1.4168 | Loss_intent: 1.0801 | Loss_slots: 0.3367 | Spent: 2.4 secs | LR: 0.000125
INFO:tensorflow:Step 19250 | Loss: 1.4388 | Loss_intent: 1.0799 | Loss_slots: 0.3588 | Spent: 2.2 secs | LR: 0.000123
INFO:tensorflow:Step 19300 | Loss: 1.3850 | Loss_intent: 1.0809 | Loss_slots: 0.3040 | Spent: 2.3 secs | LR: 0.000122
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.975
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 19350 | Loss: 1.2560 | Loss_intent: 1.0802 | Loss_slots: 0.1757 | Spent: 4.6 secs | LR: 0.000120
INFO:tensorflow:Step 19400 | Loss: 1.4447 | Loss_intent: 1.0800 | Loss_slots: 0.3647 | Spent: 2.4 secs | LR: 0.000118
INFO:tensorflow:Step 19450 | Loss: 1.4071 | Loss_intent: 1.0797 | Loss_slots: 0.3274 | Spent: 2.2 secs | LR: 0.000116
INFO:tensorflow:Step 19500 | Loss: 1.2685 | Loss_intent: 1.0810 | Loss_slots: 0.1875 | Spent: 2.4 secs | LR: 0.000114
INFO:tensorflow:Step 19550 | Loss: 1.3886 | Loss_intent: 1.0813 | Loss_slots: 0.3073 | Spent: 2.3 secs | LR: 0.000113
INFO:tensorflow:Step 19600 | Loss: 1.4181 | Loss_intent: 1.0799 | Loss_slots: 0.3382 | Spent: 2.1 secs | LR: 0.000111
INFO:tensorflow:Step 19650 | Loss: 1.3914 | Loss_intent: 1.0798 | Loss_slots: 0.3116 | Spent: 2.2 secs | LR: 0.000109
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.952, Intent Acc: 0.976
INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974
Reading ../data/atis.train.w-intent.iob
INFO:tensorflow:Step 19700 | Loss: 1.3991 | Loss_intent: 1.0817 | Loss_slots: 0.3174 | Spent: 4.6 secs | LR: 0.000107
INFO:tensorflow:Step 19750 | Loss: 1.3336 | Loss_intent: 1.0798 | Loss_slots: 0.2538 | Spent: 2.3 secs | LR: 0.000106
INFO:tensorflow:Step 19800 | Loss: 1.2687 | Loss_intent: 1.0799 | Loss_slots: 0.1888 | Spent: 2.2 secs | LR: 0.000104
INFO:tensorflow:Step 19850 | Loss: 1.4346 | Loss_intent: 1.0799 | Loss_slots: 0.3547 | Spent: 2.3 secs | LR: 0.000102
INFO:tensorflow:Step 19900 | Loss: 1.2896 | Loss_intent: 1.0799 | Loss_slots: 0.2097 | Spent: 2.4 secs | LR: 0.000100
INFO:tensorflow:Step 19950 | Loss: 1.3572 | Loss_intent: 1.0801 | Loss_slots: 0.2770 | Spent: 2.3 secs | LR: 0.000101
Reading ../data/atis.test.w-intent.iob
INFO:tensorflow:Slot F1: 0.953, Intent Acc: 0.974
INFO:tensorflow:
                                          precision    recall  f1-score   support

                             atis_flight      0.975     0.992     0.984       632
                            atis_airfare      0.979     0.979     0.979        48
                     atis_ground_service      1.000     1.000     1.000        36
                            atis_airline      1.000     1.000     1.000        38
                       atis_abbreviation      1.000     1.000     1.000        33
                           atis_aircraft      1.000     1.000     1.000         9
                        atis_flight_time      1.000     1.000     1.000         1
                           atis_quantity      0.429     1.000     0.600         3
                atis_flight#atis_airfare      0.833     0.417     0.556        12
                            atis_airport      1.000     0.944     0.971        18
                           atis_distance      1.000     1.000     1.000        10
                               atis_city      1.000     0.667     0.800         6
                        atis_ground_fare      1.000     1.000     1.000         7
                           atis_capacity      1.000     0.952     0.976        21
                          atis_flight_no      0.889     1.000     0.941         8
                               atis_meal      1.000     0.833     0.909         6
                        atis_restriction      0.000     0.000     0.000         0
             atis_airline#atis_flight_no      0.000     0.000     0.000         0
    atis_ground_service#atis_ground_fare      0.000     0.000     0.000         0
           atis_airfare#atis_flight_time      0.000     0.000     0.000         0
                           atis_cheapest      0.000     0.000     0.000         0
atis_aircraft#atis_flight#atis_flight_no      0.000     0.000     0.000         0

                               micro avg      0.974     0.980     0.977       888
                               macro avg      0.687     0.672     0.669       888
                            weighted avg      0.976     0.980     0.976       888

INFO:tensorflow:
                              precision    recall  f1-score   support

                           O      0.000     0.000     0.000       0.0
           B-toloc.city_name      0.971     0.992     0.981     716.0
         B-fromloc.city_name      0.983     0.999     0.991     704.0
           I-toloc.city_name      0.959     0.981     0.970     265.0
      B-depart_date.day_name      0.991     0.991     0.991     212.0
              B-airline_name      1.000     1.000     1.000     101.0
         I-fromloc.city_name      0.962     1.000     0.981     177.0
 B-depart_time.period_of_day      1.000     0.923     0.960     130.0
              I-airline_name      1.000     1.000     1.000      65.0
    B-depart_date.day_number      0.981     0.964     0.972      55.0
    B-depart_date.month_name      0.982     0.964     0.973      56.0
          B-depart_time.time      0.792     1.000     0.884      57.0
                B-round_trip      1.000     0.986     0.993      73.0
             B-cost_relative      1.000     0.973     0.986      37.0
                I-round_trip      1.000     1.000     1.000      71.0
                B-flight_mod      0.828     1.000     0.906      24.0
 B-depart_time.time_relative      0.969     0.969     0.969      65.0
          I-depart_time.time      0.981     1.000     0.990      52.0
         B-stoploc.city_name      1.000     1.000     1.000      20.0
                 B-city_name      0.821     0.561     0.667      57.0
                B-class_type      0.960     1.000     0.980      24.0
          B-arrive_time.time      0.943     0.971     0.957      34.0
 B-arrive_time.time_relative      0.967     0.935     0.951      31.0
                I-class_type      1.000     1.000     1.000      17.0
               B-flight_stop      1.000     1.000     1.000      21.0
          I-arrive_time.time      1.000     0.971     0.986      35.0
              B-airline_code      1.000     0.912     0.954      34.0
    I-depart_date.day_number      1.000     0.933     0.966      15.0
      I-fromloc.airport_name      0.441     1.000     0.612      15.0
      B-fromloc.airport_name      0.462     1.000     0.632      12.0
      B-arrive_date.day_name      0.786     1.000     0.880      11.0
          B-toloc.state_code      1.000     1.000     1.000      18.0
B-depart_date.today_relative      1.000     1.000     1.000       9.0
             B-flight_number      0.393     1.000     0.564      11.0
 B-depart_date.date_relative      0.944     1.000     0.971      17.0
          B-toloc.state_name      0.862     0.893     0.877      28.0
           B-fare_basis_code      0.917     0.647     0.759      17.0
               B-flight_time      1.000     1.000     1.000       1.0
                        B-or      1.000     1.000     1.000       3.0
 B-arrive_time.period_of_day      0.750     1.000     0.857       6.0
          B-meal_description      1.000     0.900     0.947      10.0
             I-cost_relative      1.000     0.667     0.800       3.0
              I-airport_name      0.917     0.379     0.537      29.0
               B-fare_amount      1.000     1.000     1.000       2.0
               I-fare_amount      1.000     1.000     1.000       2.0
                 I-city_name      0.933     0.467     0.622      30.0
        I-toloc.airport_name      1.000     1.000     1.000       3.0
            B-transport_type      1.000     1.000     1.000      10.0
    B-arrive_date.month_name      0.714     0.833     0.769       6.0
    B-arrive_date.day_number      0.714     0.833     0.769       6.0
         I-stoploc.city_name      0.909     1.000     0.952      10.0
                      B-meal      1.000     1.000     1.000      16.0
        B-fromloc.state_code      1.000     1.000     1.000      23.0
    B-depart_time.period_mod      0.833     1.000     0.909       5.0
                   B-connect      1.000     1.000     1.000       6.0
               B-flight_days      1.000     1.000     1.000      10.0
        B-toloc.airport_name      1.000     1.000     1.000       3.0
        B-fromloc.state_name      1.000     1.000     1.000      17.0
              B-airport_name      0.778     0.333     0.467      21.0
                   B-economy      1.000     1.000     1.000       6.0
               I-flight_time      1.000     1.000     1.000       1.0
             B-aircraft_code      1.000     0.909     0.952      33.0
                       B-mod      1.000     0.500     0.667       2.0
              B-airport_code      0.000     0.000     0.000       9.0
    B-depart_time.start_time      0.500     0.667     0.571       3.0
      B-depart_time.end_time      1.000     0.667     0.800       3.0
          B-depart_date.year      1.000     1.000     1.000       3.0
            I-transport_type      0.000     0.000     0.000       1.0
          B-restriction_code      1.000     1.000     1.000       4.0
    B-arrive_time.start_time      0.889     1.000     0.941       8.0
        B-toloc.airport_code      1.000     0.750     0.857       4.0
      B-arrive_time.end_time      0.875     0.875     0.875       8.0
      I-arrive_time.end_time      0.889     1.000     0.941       8.0
      I-depart_time.end_time      1.000     0.667     0.800       3.0
               I-flight_stop      0.000     0.000     0.000       0.0
      B-fromloc.airport_code      0.833     1.000     0.909       5.0
          I-restriction_code      1.000     1.000     1.000       3.0
    I-depart_time.start_time      1.000     1.000     1.000       1.0
          I-toloc.state_name      1.000     1.000     1.000       1.0
I-depart_date.today_relative      0.000     0.000     0.000       0.0
 B-arrive_date.date_relative      1.000     1.000     1.000       2.0
                I-flight_mod      1.000     0.167     0.286       6.0
                   I-economy      0.000     0.000     0.000       0.0
 B-return_date.date_relative      1.000     0.333     0.500       3.0
        I-fromloc.state_name      1.000     1.000     1.000       1.0
                B-state_code      1.000     1.000     1.000       1.0
    I-arrive_time.start_time      1.000     1.000     1.000       1.0
    I-arrive_date.day_number      0.000     0.000     0.000       0.0
                 B-meal_code      0.000     0.000     0.000       1.0
 I-depart_time.period_of_day      1.000     1.000     1.000       1.0
                  B-day_name      1.000     0.500     0.667       2.0
             B-period_of_day      1.000     0.500     0.667       4.0
        B-stoploc.state_code      0.000     0.000     0.000       0.0
    B-return_date.month_name      0.000     0.000     0.000       0.0
    B-return_date.day_number      0.000     0.000     0.000       0.0
    B-arrive_time.period_mod      0.000     0.000     0.000       0.0
                 I-meal_code      0.000     0.000     0.000       0.0
        B-toloc.country_name      1.000     1.000     1.000       1.0
                 B-days_code      1.000     1.000     1.000       1.0
 I-arrive_time.period_of_day      0.000     0.000     0.000       0.0
            I-today_relative      0.000     0.000     0.000       0.0
 B-return_time.period_of_day      0.000     0.000     0.000       0.0
                      B-time      0.000     0.000     0.000       0.0
           I-fare_basis_code      0.000     0.000     0.000       0.0
 I-arrive_time.time_relative      1.000     1.000     1.000       4.0
 I-depart_time.time_relative      0.000     0.000     0.000       1.0
            B-today_relative      0.000     0.000     0.000       0.0
                B-state_name      0.000     0.000     0.000       9.0
B-arrive_date.today_relative      0.000     0.000     0.000       0.0
    B-return_time.period_mod      0.000     0.000     0.000       0.0
                B-month_name      0.000     0.000     0.000       0.0
                B-day_number      0.000     0.000     0.000       0.0
 I-return_date.date_relative      0.750     1.000     0.857       3.0
I-return_date.today_relative      0.000     0.000     0.000       0.0
      B-stoploc.airport_name      0.000     0.000     0.000       0.0
             B-time_relative      0.000     0.000     0.000       0.0
                      I-time      0.000     0.000     0.000       0.0
    I-return_date.day_number      0.000     0.000     0.000       0.0
          I-meal_description      0.000     0.000     0.000       0.0
B-return_date.today_relative      0.000     0.000     0.000       0.0
      B-return_date.day_name      0.000     0.000     0.000       2.0

                   micro avg      0.952     0.954     0.953    3657.0
                   macro avg      0.679     0.657     0.655    3657.0
                weighted avg      0.956     0.954     0.950    3657.0

INFO:tensorflow:Best Slot F1: 0.954, Intent Acc: 0.974