Ludwig

```!pip install ludwig

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Collecting ludwig [?25l Downloading https://files.pythonhosted.org/packages/cd/a2/9f7f1952398e5aeb2f39579616fab8c3fada84a956ba6c855e6bc30a99f1/ludwig-0.1.1.tar.gz (129kB)  100% |████████████████████████████████| 133kB 3.7MB/s [?25hRequirement already satisfied: Cython>=0.25 in /usr/local/lib/python3.6/dist-packages (from ludwig) (0.29.6) Requirement already satisfied: h5py>=2.6 in /usr/local/lib/python3.6/dist-packages (from ludwig) (2.8.0) Requirement already satisfied: matplotlib>=3.0 in /usr/local/lib/python3.6/dist-packages (from ludwig) (3.0.3) Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.6/dist-packages (from ludwig) (1.16.2) Requirement already satisfied: pandas>=0.19 in /usr/local/lib/python3.6/dist-packages (from ludwig) (0.23.4) Requirement already satisfied: scipy>=0.18 in /usr/local/lib/python3.6/dist-packages (from ludwig) (1.2.1) Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from ludwig) (0.20.3) Requirement 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https://files.pythonhosted.org/packages/76/6c/0376977df1ba9f0ec27835d80456d9284c79737cb5205649451db1181f01/wasabi-0.2.1-py3-none-any.whl Collecting blis<0.3.0,>=0.2.2 (from spacy>=2.1->ludwig) [?25l Downloading https://files.pythonhosted.org/packages/34/46/b1d0bb71d308e820ed30316c5f0a017cb5ef5f4324bcbc7da3cf9d3b075c/blis-0.2.4-cp36-cp36m-manylinux1_x86_64.whl (3.2MB)  100% |████████████████████████████████| 3.2MB 9.6MB/s [?25hRequirement already satisfied: preshed<2.1.0,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.1->ludwig) (2.0.1) Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.1->ludwig) (2.0.2) Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /usr/local/lib/python3.6/dist-packages (from spacy>=2.1->ludwig) (1.0.2) Collecting thinc<7.1.0,>=7.0.2 (from spacy>=2.1->ludwig) [?25l Downloading 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wasabi, blis, thinc, spacy, ludwig Found existing installation: thinc 6.12.1 Uninstalling thinc-6.12.1: Successfully uninstalled thinc-6.12.1 Found existing installation: spacy 2.0.18 Uninstalling spacy-2.0.18: Successfully uninstalled spacy-2.0.18 Successfully installed blis-0.2.4 ludwig-0.1.1 spacy-2.1.3 srsly-0.0.5 thinc-7.0.4 wasabi-0.2.1

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```!wget https://raw.githubusercontent.com/rpi-techfundamentals/fall2018-materials/master/input/train.csv && wget https://raw.githubusercontent.com/rpi-techfundamentals/fall2018-materials/master/input/test.csv
  

```!wget https://raw.githubusercontent.com/rpi-techfundamentals/spring2019-materials/master/13-deep-learning3/model_definition.yaml

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–2019-04-15 14:41:17– https://raw.githubusercontent.com/rpi-techfundamentals/spring2019-materials/master/13-deep-learning3/model_definition.yaml Resolving raw.githubusercontent.com (raw.githubusercontent.com)… 151.101.0.133, 151.101.64.133, 151.101.128.133, … Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443… connected. HTTP request sent, awaiting response… 200 OK Length: 524 [text/plain] Saving to: ‘model_definition.yaml’

model_definition.ya 100%[===================>] 524 –.-KB/s in 0s

2019-04-15 14:41:17 (83.2 MB/s) - ‘model_definition.yaml’ saved [524/524]

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```!cat model_definition.yaml

```!ludwig experiment –data_csv train.csv \ –model_definition_file model_definition.yaml

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WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

| |_ _ | |_ __ () _ | | || / \ V V / / _ | ||_,_,|_/_/|_, | |__/ ludwig v0.1.1 - Experiment

Experiment name: experiment Model name: run Output path: results/experiment_run_0

ludwig_version: ‘0.1.1’ command: (‘/usr/local/bin/ludwig experiment –data_csv train.csv ‘ ‘–model_definition_file model_definition.yaml’) dataset_type: ‘generic’ random_seed: 42 input_data: ‘train.csv’ model_definition: { ‘combiner’: {‘type’: ‘concat’}, ‘input_features’: [ { ‘name’: ‘Pclass’, ‘tied_weights’: None, ‘type’: ‘category’}, { ‘name’: ‘Sex’, ‘tied_weights’: None, ‘type’: ‘category’}, { ‘missing_value_strategy’: ‘fill_with_mean’, ‘name’: ‘Age’, ‘tied_weights’: None, ‘type’: ‘numerical’}, { ‘name’: ‘SibSp’, ‘tied_weights’: None, ‘type’: ‘numerical’}, { ‘name’: ‘Parch’, ‘tied_weights’: None, ‘type’: ‘numerical’}, { ‘missing_value_strategy’: ‘fill_with_mean’, ‘name’: ‘Fare’, ‘tied_weights’: None, ‘type’: ‘numerical’}, { ‘name’: ‘Embarked’, ‘tied_weights’: None, ‘type’: ‘category’}], ‘output_features’: [ { ‘dependencies’: [], ‘loss’: { ‘confidence_penalty’: 0, ‘robust_lambda’: 0, ‘threshold’: 0.5, ‘weight’: 1}, ‘name’: ‘Survived’, ‘reduce_dependencies’: ‘sum’, ‘reduce_input’: ‘sum’, ‘threshold’: 0.5, ‘type’: ‘binary’, ‘weight’: 1}], ‘preprocessing’: { ‘bag’: { ‘fill_value’: ‘’, ‘format’: ‘space’, ‘lowercase’: False, ‘missing_value_strategy’: ‘fill_with_const’, ‘most_common’: 10000}, ‘binary’: { ‘fill_value’: 0, ‘missing_value_strategy’: ‘fill_with_const’}, ‘category’: { ‘fill_value’: ‘', 'lowercase': False, 'missing_value_strategy': 'fill_with_const', 'most_common': 10000}, 'force_split': False, 'image': { 'in_memory': True, 'missing_value_strategy': 'backfill', 'resize_method': 'crop_or_pad'}, 'numerical': { 'fill_value': 0, 'missing_value_strategy': 'fill_with_const'}, 'sequence': { 'fill_value': '', 'format': 'space', 'lowercase': False, 'missing_value_strategy': 'fill_with_const', 'most_common': 20000, 'padding': 'right', 'padding_symbol': '', 'sequence_length_limit': 256, 'unknown_symbol': ''}, 'set': { 'fill_value': '', 'format': 'space', 'lowercase': False, 'missing_value_strategy': 'fill_with_const', 'most_common': 10000}, 'split_probabilities': (0.7, 0.1, 0.2), 'stratify': None, 'text': { 'char_format': 'characters', 'char_most_common': 70, 'char_sequence_length_limit': 1024, 'fill_value': '', 'lowercase': True, 'missing_value_strategy': 'fill_with_const', 'padding': 'right', 'padding_symbol': '', 'unknown_symbol': '', 'word_format': 'space_punct', 'word_most_common': 20000, 'word_sequence_length_limit': 256}, 'timeseries': { 'fill_value': '', 'format': 'space', 'missing_value_strategy': 'fill_with_const', 'padding': 'right', 'padding_value': 0, 'timeseries_length_limit': 256}}, 'training': { 'batch_size': 128, 'bucketing_field': None, 'decay': False, 'decay_rate': 0.96, 'decay_steps': 10000, 'dropout_rate': 0.0, 'early_stop': 5, 'epochs': 100, 'eval_batch_size': 0, 'gradient_clipping': None, 'increase_batch_size_on_plateau': 0, 'increase_batch_size_on_plateau_max': 512, 'increase_batch_size_on_plateau_patience': 5, 'increase_batch_size_on_plateau_rate': 2, 'learning_rate': 0.001, 'learning_rate_warmup_epochs': 5, 'optimizer': { 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'type': 'adam'}, 'reduce_learning_rate_on_plateau': 0, 'reduce_learning_rate_on_plateau_patience': 5, 'reduce_learning_rate_on_plateau_rate': 0.5, 'regularization_lambda': 0, 'regularizer': 'l2', 'staircase': False, 'validation_field': 'combined', 'validation_measure': 'loss'}}

Using full raw csv, no hdf5 and json file with the same name have been found Building dataset (it may take a while) /usr/local/lib/python3.6/dist-packages/ludwig/features/numerical_feature.py:63: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead. np.float32).as_matrix() /usr/local/lib/python3.6/dist-packages/ludwig/features/binary_feature.py:62: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead. np.bool_).as_matrix() Writing dataset Writing train set metadata with vocabulary Training set: 630 Validation set: 81 Test set: 180 WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. embedding_size (50) is greater than vocab_size (4). Setting embedding size to be equal to vocab_size. embedding_size (50) is greater than vocab_size (3). Setting embedding size to be equal to vocab_size. embedding_size (50) is greater than vocab_size (5). Setting embedding size to be equal to vocab_size. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_grad.py:425: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_grad.py:425: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead.

╒══════════╕ │ TRAINING │ ╘══════════╛

2019-04-15 14:41:29.343441: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz 2019-04-15 14:41:29.346608: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x2020d60 executing computations on platform Host. Devices: 2019-04-15 14:41:29.346694: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,

Epoch 1 Training: 100% 5/5 [00:00<00:00, 10.08it/s] Evaluation train: 100% 5/5 [00:00<00:00, 110.90it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 614.91it/s] Evaluation test : 100% 2/2 [00:00<00:00, 729.38it/s] Took 0.5719s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 7.9026 │ 0.3968 │ ├────────────┼────────┼────────────┤ │ vali │ 7.5711 │ 0.3827 │ ├────────────┼────────┼────────────┤ │ test │ 8.8524 │ 0.3667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 2 Training: 100% 5/5 [00:00<00:00, 276.59it/s] Evaluation train: 100% 5/5 [00:00<00:00, 732.60it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 755.87it/s] Evaluation test : 100% 2/2 [00:00<00:00, 843.92it/s] Took 0.3235s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 7.6934 │ 0.3968 │ ├────────────┼────────┼────────────┤ │ vali │ 7.3628 │ 0.3827 │ ├────────────┼────────┼────────────┤ │ test │ 8.6174 │ 0.3667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 3 Training: 100% 5/5 [00:00<00:00, 443.98it/s] Evaluation train: 100% 5/5 [00:00<00:00, 771.10it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 710.66it/s] Evaluation test : 100% 2/2 [00:00<00:00, 322.44it/s] Took 0.2996s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 7.4851 │ 0.3968 │ ├────────────┼────────┼────────────┤ │ vali │ 7.1558 │ 0.3827 │ ├────────────┼────────┼────────────┤ │ test │ 8.3837 │ 0.3611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 4 Training: 100% 5/5 [00:00<00:00, 455.84it/s] Evaluation train: 100% 5/5 [00:00<00:00, 773.37it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 834.36it/s] Evaluation test : 100% 2/2 [00:00<00:00, 865.97it/s] Took 0.2475s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 7.2782 │ 0.3968 │ ├────────────┼────────┼────────────┤ │ vali │ 6.9506 │ 0.3827 │ ├────────────┼────────┼────────────┤ │ test │ 8.1514 │ 0.3611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 5 Training: 100% 5/5 [00:00<00:00, 445.86it/s] Evaluation train: 100% 5/5 [00:00<00:00, 814.71it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 660.52it/s] Evaluation test : 100% 2/2 [00:00<00:00, 837.94it/s] Took 0.2481s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 7.0727 │ 0.3984 │ ├────────────┼────────┼────────────┤ │ vali │ 6.7476 │ 0.3951 │ ├────────────┼────────┼────────────┤ │ test │ 7.9209 │ 0.3611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 6 Training: 100% 5/5 [00:00<00:00, 461.45it/s] Evaluation train: 100% 5/5 [00:00<00:00, 784.69it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 843.08it/s] Evaluation test : 100% 2/2 [00:00<00:00, 882.45it/s] Took 0.2411s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 6.8693 │ 0.4000 │ ├────────────┼────────┼────────────┤ │ vali │ 6.5471 │ 0.3951 │ ├────────────┼────────┼────────────┤ │ test │ 7.6929 │ 0.3667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 7 Training: 100% 5/5 [00:00<00:00, 454.23it/s] Evaluation train: 100% 5/5 [00:00<00:00, 779.84it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 816.97it/s] Evaluation test : 100% 2/2 [00:00<00:00, 831.46it/s] Took 0.2468s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 6.6683 │ 0.4016 │ ├────────────┼────────┼────────────┤ │ vali │ 6.3495 │ 0.4074 │ ├────────────┼────────┼────────────┤ │ test │ 7.4677 │ 0.3722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 8 Training: 100% 5/5 [00:00<00:00, 430.87it/s] Evaluation train: 100% 5/5 [00:00<00:00, 746.34it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 778.74it/s] Evaluation test : 100% 2/2 [00:00<00:00, 656.75it/s] Took 0.2715s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 6.4704 │ 0.4000 │ ├────────────┼────────┼────────────┤ │ vali │ 6.1552 │ 0.4074 │ ├────────────┼────────┼────────────┤ │ test │ 7.2459 │ 0.3778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 9 Training: 100% 5/5 [00:00<00:00, 413.70it/s] Evaluation train: 100% 5/5 [00:00<00:00, 746.18it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 744.86it/s] Evaluation test : 100% 2/2 [00:00<00:00, 817.68it/s] Took 0.2651s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 6.2761 │ 0.4032 │ ├────────────┼────────┼────────────┤ │ vali │ 5.9643 │ 0.4074 │ ├────────────┼────────┼────────────┤ │ test │ 7.0279 │ 0.3833 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 10 Training: 100% 5/5 [00:00<00:00, 440.89it/s] Evaluation train: 100% 5/5 [00:00<00:00, 778.60it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 786.33it/s] Evaluation test : 100% 2/2 [00:00<00:00, 851.46it/s] Took 0.2500s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 6.0861 │ 0.4127 │ ├────────────┼────────┼────────────┤ │ vali │ 5.7773 │ 0.4198 │ ├────────────┼────────┼────────────┤ │ test │ 6.8142 │ 0.3889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 11 Training: 100% 5/5 [00:00<00:00, 411.29it/s] Evaluation train: 100% 5/5 [00:00<00:00, 772.66it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 789.29it/s] Evaluation test : 100% 2/2 [00:00<00:00, 814.82it/s] Took 0.2603s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 5.9009 │ 0.4095 │ ├────────────┼────────┼────────────┤ │ vali │ 5.5945 │ 0.4198 │ ├────────────┼────────┼────────────┤ │ test │ 6.6052 │ 0.3889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 12 Training: 100% 5/5 [00:00<00:00, 436.50it/s] Evaluation train: 100% 5/5 [00:00<00:00, 758.24it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 762.60it/s] Evaluation test : 100% 2/2 [00:00<00:00, 867.58it/s] Took 0.2527s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 5.7210 │ 0.4190 │ ├────────────┼────────┼────────────┤ │ vali │ 5.4165 │ 0.4198 │ ├────────────┼────────┼────────────┤ │ test │ 6.4013 │ 0.3944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 13 Training: 100% 5/5 [00:00<00:00, 476.17it/s] Evaluation train: 100% 5/5 [00:00<00:00, 777.59it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 787.51it/s] Evaluation test : 100% 2/2 [00:00<00:00, 810.57it/s] Took 0.2433s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 5.5470 │ 0.4270 │ ├────────────┼────────┼────────────┤ │ vali │ 5.2436 │ 0.4198 │ ├────────────┼────────┼────────────┤ │ test │ 6.2030 │ 0.3944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 14 Training: 100% 5/5 [00:00<00:00, 452.28it/s] Evaluation train: 100% 5/5 [00:00<00:00, 789.50it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 789.59it/s] Evaluation test : 100% 2/2 [00:00<00:00, 843.33it/s] Took 0.2463s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 5.3792 │ 0.4365 │ ├────────────┼────────┼────────────┤ │ vali │ 5.0764 │ 0.4198 │ ├────────────┼────────┼────────────┤ │ test │ 6.0107 │ 0.4111 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 15 Training: 100% 5/5 [00:00<00:00, 451.66it/s] Evaluation train: 100% 5/5 [00:00<00:00, 579.71it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 820.80it/s] Evaluation test : 100% 2/2 [00:00<00:00, 861.08it/s] Took 0.2671s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 5.2179 │ 0.4444 │ ├────────────┼────────┼────────────┤ │ vali │ 4.9153 │ 0.4321 │ ├────────────┼────────┼────────────┤ │ test │ 5.8247 │ 0.4278 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 16 Training: 100% 5/5 [00:00<00:00, 448.99it/s] Evaluation train: 100% 5/5 [00:00<00:00, 712.52it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 780.92it/s] Evaluation test : 100% 2/2 [00:00<00:00, 810.89it/s] Took 0.2627s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 5.0633 │ 0.4508 │ ├────────────┼────────┼────────────┤ │ vali │ 4.7606 │ 0.4444 │ ├────────────┼────────┼────────────┤ │ test │ 5.6452 │ 0.4444 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 17 Training: 100% 5/5 [00:00<00:00, 404.22it/s] Evaluation train: 100% 5/5 [00:00<00:00, 765.66it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 835.35it/s] Evaluation test : 100% 2/2 [00:00<00:00, 835.94it/s] Took 0.2625s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.9156 │ 0.4476 │ ├────────────┼────────┼────────────┤ │ vali │ 4.6128 │ 0.4691 │ ├────────────┼────────┼────────────┤ │ test │ 5.4724 │ 0.4611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 18 Training: 100% 5/5 [00:00<00:00, 447.81it/s] Evaluation train: 100% 5/5 [00:00<00:00, 695.34it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 667.46it/s] Evaluation test : 100% 2/2 [00:00<00:00, 791.45it/s] Took 0.2608s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.7748 │ 0.4540 │ ├────────────┼────────┼────────────┤ │ vali │ 4.4719 │ 0.5062 │ ├────────────┼────────┼────────────┤ │ test │ 5.3063 │ 0.4778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 19 Training: 100% 5/5 [00:00<00:00, 391.12it/s] Evaluation train: 100% 5/5 [00:00<00:00, 680.52it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 670.45it/s] Evaluation test : 100% 2/2 [00:00<00:00, 711.80it/s] Took 0.2840s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.6408 │ 0.4683 │ ├────────────┼────────┼────────────┤ │ vali │ 4.3382 │ 0.5309 │ ├────────────┼────────┼────────────┤ │ test │ 5.1471 │ 0.4944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 20 Training: 100% 5/5 [00:00<00:00, 443.24it/s] Evaluation train: 100% 5/5 [00:00<00:00, 772.83it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 778.74it/s] Evaluation test : 100% 2/2 [00:00<00:00, 824.35it/s] Took 0.2519s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.5136 │ 0.4714 │ ├────────────┼────────┼────────────┤ │ vali │ 4.2120 │ 0.5432 │ ├────────────┼────────┼────────────┤ │ test │ 4.9946 │ 0.5111 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 21 Training: 100% 5/5 [00:00<00:00, 456.19it/s] Evaluation train: 100% 5/5 [00:00<00:00, 770.22it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 744.46it/s] Evaluation test : 100% 2/2 [00:00<00:00, 864.98it/s] Took 0.2458s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.3929 │ 0.4794 │ ├────────────┼────────┼────────────┤ │ vali │ 4.0931 │ 0.5432 │ ├────────────┼────────┼────────────┤ │ test │ 4.8489 │ 0.5111 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 22 Training: 100% 5/5 [00:00<00:00, 447.02it/s] Evaluation train: 100% 5/5 [00:00<00:00, 742.78it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 700.22it/s] Evaluation test : 100% 2/2 [00:00<00:00, 764.69it/s] Took 0.2560s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.2788 │ 0.4905 │ ├────────────┼────────┼────────────┤ │ vali │ 3.9815 │ 0.5309 │ ├────────────┼────────┼────────────┤ │ test │ 4.7099 │ 0.5111 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 23 Training: 100% 5/5 [00:00<00:00, 462.39it/s] Evaluation train: 100% 5/5 [00:00<00:00, 802.34it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 839.87it/s] Evaluation test : 100% 2/2 [00:00<00:00, 838.19it/s] Took 0.2412s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.1710 │ 0.5127 │ ├────────────┼────────┼────────────┤ │ vali │ 3.8767 │ 0.5556 │ ├────────────┼────────┼────────────┤ │ test │ 4.5776 │ 0.5222 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 24 Training: 100% 5/5 [00:00<00:00, 438.30it/s] Evaluation train: 100% 5/5 [00:00<00:00, 770.90it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 829.73it/s] Evaluation test : 100% 2/2 [00:00<00:00, 848.36it/s] Took 0.2502s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 4.0692 │ 0.5238 │ ├────────────┼────────┼────────────┤ │ vali │ 3.7784 │ 0.5679 │ ├────────────┼────────┼────────────┤ │ test │ 4.4520 │ 0.5444 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 25 Training: 100% 5/5 [00:00<00:00, 419.62it/s] Evaluation train: 100% 5/5 [00:00<00:00, 783.22it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 736.49it/s] Evaluation test : 100% 2/2 [00:00<00:00, 844.01it/s] Took 0.2558s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.9733 │ 0.5349 │ ├────────────┼────────┼────────────┤ │ vali │ 3.6860 │ 0.5926 │ ├────────────┼────────┼────────────┤ │ test │ 4.3329 │ 0.5556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 26 Training: 100% 5/5 [00:00<00:00, 486.97it/s] Evaluation train: 100% 5/5 [00:00<00:00, 792.13it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 666.82it/s] Evaluation test : 100% 2/2 [00:00<00:00, 836.27it/s] Took 0.2403s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.8830 │ 0.5413 │ ├────────────┼────────┼────────────┤ │ vali │ 3.5990 │ 0.5926 │ ├────────────┼────────┼────────────┤ │ test │ 4.2202 │ 0.5722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 27 Training: 100% 5/5 [00:00<00:00, 437.38it/s] Evaluation train: 100% 5/5 [00:00<00:00, 752.83it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 726.66it/s] Evaluation test : 100% 2/2 [00:00<00:00, 827.28it/s] Took 0.2552s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.7980 │ 0.5571 │ ├────────────┼────────┼────────────┤ │ vali │ 3.5170 │ 0.6173 │ ├────────────┼────────┼────────────┤ │ test │ 4.1136 │ 0.5944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 28 Training: 100% 5/5 [00:00<00:00, 473.07it/s] Evaluation train: 100% 5/5 [00:00<00:00, 713.32it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 832.70it/s] Evaluation test : 100% 2/2 [00:00<00:00, 814.67it/s] Took 0.2473s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.7180 │ 0.5587 │ ├────────────┼────────┼────────────┤ │ vali │ 3.4395 │ 0.6049 │ ├────────────┼────────┼────────────┤ │ test │ 4.0128 │ 0.5944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 29 Training: 100% 5/5 [00:00<00:00, 454.26it/s] Evaluation train: 100% 5/5 [00:00<00:00, 782.78it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 830.88it/s] Evaluation test : 100% 2/2 [00:00<00:00, 813.80it/s] Took 0.2479s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.6428 │ 0.5683 │ ├────────────┼────────┼────────────┤ │ vali │ 3.3662 │ 0.6049 │ ├────────────┼────────┼────────────┤ │ test │ 3.9176 │ 0.6056 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 30 Training: 100% 5/5 [00:00<00:00, 416.43it/s] Evaluation train: 100% 5/5 [00:00<00:00, 780.74it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 793.32it/s] Evaluation test : 100% 2/2 [00:00<00:00, 820.32it/s] Took 0.2561s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.5719 │ 0.5651 │ ├────────────┼────────┼────────────┤ │ vali │ 3.2969 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.8276 │ 0.6000 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 31 Training: 100% 5/5 [00:00<00:00, 454.96it/s] Evaluation train: 100% 5/5 [00:00<00:00, 812.00it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 854.41it/s] Evaluation test : 100% 2/2 [00:00<00:00, 850.60it/s] Took 0.2407s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.5053 │ 0.5746 │ ├────────────┼────────┼────────────┤ │ vali │ 3.2311 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.7425 │ 0.6000 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 32 Training: 100% 5/5 [00:00<00:00, 464.45it/s] Evaluation train: 100% 5/5 [00:00<00:00, 773.60it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 701.98it/s] Evaluation test : 100% 2/2 [00:00<00:00, 806.05it/s] Took 0.2474s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.4424 │ 0.5841 │ ├────────────┼────────┼────────────┤ │ vali │ 3.1687 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.6620 │ 0.6056 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 33 Training: 100% 5/5 [00:00<00:00, 453.83it/s] Evaluation train: 100% 5/5 [00:00<00:00, 757.97it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 718.20it/s] Evaluation test : 100% 2/2 [00:00<00:00, 551.23it/s] Took 0.2634s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.3830 │ 0.5857 │ ├────────────┼────────┼────────────┤ │ vali │ 3.1093 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.5857 │ 0.6056 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 34 Training: 100% 5/5 [00:00<00:00, 440.54it/s] Evaluation train: 100% 5/5 [00:00<00:00, 778.19it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 722.91it/s] Evaluation test : 100% 2/2 [00:00<00:00, 799.68it/s] Took 0.2574s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.3268 │ 0.5857 │ ├────────────┼────────┼────────────┤ │ vali │ 3.0528 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.5134 │ 0.6167 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 35 Training: 100% 5/5 [00:00<00:00, 466.61it/s] Evaluation train: 100% 5/5 [00:00<00:00, 784.80it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 818.40it/s] Evaluation test : 100% 2/2 [00:00<00:00, 873.90it/s] Took 0.2424s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.2734 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.9989 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.4448 │ 0.6222 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 36 Training: 100% 5/5 [00:00<00:00, 486.31it/s] Evaluation train: 100% 5/5 [00:00<00:00, 796.12it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 785.01it/s] Evaluation test : 100% 2/2 [00:00<00:00, 845.20it/s] Took 0.2379s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.2225 │ 0.5984 │ ├────────────┼────────┼────────────┤ │ vali │ 2.9473 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 3.3795 │ 0.6333 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 37 Training: 100% 5/5 [00:00<00:00, 444.96it/s] Evaluation train: 100% 5/5 [00:00<00:00, 758.55it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 722.78it/s] Evaluation test : 100% 2/2 [00:00<00:00, 819.68it/s] Took 0.2551s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.1740 │ 0.5937 │ ├────────────┼────────┼────────────┤ │ vali │ 2.8980 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 3.3173 │ 0.6389 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 38 Training: 100% 5/5 [00:00<00:00, 420.89it/s] Evaluation train: 100% 5/5 [00:00<00:00, 715.48it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 774.43it/s] Evaluation test : 100% 2/2 [00:00<00:00, 830.64it/s] Took 0.2631s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.1275 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.8507 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 3.2579 │ 0.6500 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 39 Training: 100% 5/5 [00:00<00:00, 435.36it/s] Evaluation train: 100% 5/5 [00:00<00:00, 769.40it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 820.80it/s] Evaluation test : 100% 2/2 [00:00<00:00, 863.11it/s] Took 0.2513s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.0828 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.8052 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 3.2010 │ 0.6444 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 40 Training: 100% 5/5 [00:00<00:00, 469.51it/s] Evaluation train: 100% 5/5 [00:00<00:00, 747.19it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 777.30it/s] Evaluation test : 100% 2/2 [00:00<00:00, 871.63it/s] Took 0.2456s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 3.0398 │ 0.5968 │ ├────────────┼────────┼────────────┤ │ vali │ 2.7613 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 3.1465 │ 0.6556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 41 Training: 100% 5/5 [00:00<00:00, 469.54it/s] Evaluation train: 100% 5/5 [00:00<00:00, 796.40it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 780.92it/s] Evaluation test : 100% 2/2 [00:00<00:00, 790.63it/s] Took 0.2431s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.9982 │ 0.5984 │ ├────────────┼────────┼────────────┤ │ vali │ 2.7190 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 3.0941 │ 0.6556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 42 Training: 100% 5/5 [00:00<00:00, 430.72it/s] Evaluation train: 100% 5/5 [00:00<00:00, 731.10it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 704.45it/s] Evaluation test : 100% 2/2 [00:00<00:00, 851.98it/s] Took 0.2605s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.9580 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.6781 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 3.0437 │ 0.6556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 43 Training: 100% 5/5 [00:00<00:00, 351.76it/s] Evaluation train: 100% 5/5 [00:00<00:00, 660.10it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 752.07it/s] Evaluation test : 100% 2/2 [00:00<00:00, 560.36it/s] Took 0.3093s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.9190 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.6384 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 2.9950 │ 0.6556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 44 Training: 100% 5/5 [00:00<00:00, 436.36it/s] Evaluation train: 100% 5/5 [00:00<00:00, 725.21it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 770.87it/s] Evaluation test : 100% 2/2 [00:00<00:00, 806.67it/s] Took 0.2577s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.8810 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.5999 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 2.9479 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 45 Training: 100% 5/5 [00:00<00:00, 432.57it/s] Evaluation train: 100% 5/5 [00:00<00:00, 765.41it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 795.13it/s] Evaluation test : 100% 2/2 [00:00<00:00, 815.93it/s] Took 0.2563s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.8441 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.5625 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 2.9023 │ 0.6556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 46 Training: 100% 5/5 [00:00<00:00, 466.43it/s] Evaluation train: 100% 5/5 [00:00<00:00, 804.96it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 814.27it/s] Evaluation test : 100% 2/2 [00:00<00:00, 849.74it/s] Took 0.2414s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.8080 │ 0.5952 │ ├────────────┼────────┼────────────┤ │ vali │ 2.5261 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 2.8581 │ 0.6556 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 47 Training: 100% 5/5 [00:00<00:00, 456.46it/s] Evaluation train: 100% 5/5 [00:00<00:00, 793.74it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 790.93it/s] Evaluation test : 100% 2/2 [00:00<00:00, 823.14it/s] Took 0.2458s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.7728 │ 0.6000 │ ├────────────┼────────┼────────────┤ │ vali │ 2.4907 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 2.8150 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 48 Training: 100% 5/5 [00:00<00:00, 413.87it/s] Evaluation train: 100% 5/5 [00:00<00:00, 769.88it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 783.69it/s] Evaluation test : 100% 2/2 [00:00<00:00, 816.17it/s] Took 0.2590s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.7383 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 2.4560 │ 0.6420 │ ├────────────┼────────┼────────────┤ │ test │ 2.7732 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 49 Training: 100% 5/5 [00:00<00:00, 467.02it/s] Evaluation train: 100% 5/5 [00:00<00:00, 764.30it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 827.28it/s] Evaluation test : 100% 2/2 [00:00<00:00, 856.24it/s] Took 0.2435s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.7044 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 2.4222 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 2.7323 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 50 Training: 100% 5/5 [00:00<00:00, 436.84it/s] Evaluation train: 100% 5/5 [00:00<00:00, 797.37it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 840.37it/s] Evaluation test : 100% 2/2 [00:00<00:00, 858.52it/s] Took 0.2484s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.6712 │ 0.6000 │ ├────────────┼────────┼────────────┤ │ vali │ 2.3891 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 2.6924 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 51 Training: 100% 5/5 [00:00<00:00, 328.96it/s] Evaluation train: 100% 5/5 [00:00<00:00, 792.69it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 830.06it/s] Evaluation test : 100% 2/2 [00:00<00:00, 841.38it/s] Took 0.2872s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.6385 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 2.3566 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 2.6534 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 52 Training: 100% 5/5 [00:00<00:00, 243.78it/s] Evaluation train: 100% 5/5 [00:00<00:00, 790.96it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 726.66it/s] Evaluation test : 100% 2/2 [00:00<00:00, 863.38it/s] Took 0.3631s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.6063 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 2.3248 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 2.6153 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 53 Training: 100% 5/5 [00:00<00:00, 413.96it/s] Evaluation train: 100% 5/5 [00:00<00:00, 732.76it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 759.70it/s] Evaluation test : 100% 2/2 [00:00<00:00, 834.11it/s] Took 0.2628s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.5745 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 2.2935 │ 0.6296 │ ├────────────┼────────┼────────────┤ │ test │ 2.5779 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 54 Training: 100% 5/5 [00:00<00:00, 465.53it/s] Evaluation train: 100% 5/5 [00:00<00:00, 769.37it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 813.95it/s] Evaluation test : 100% 2/2 [00:00<00:00, 859.14it/s] Took 0.2446s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.5432 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 2.2627 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.5412 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 55 Training: 100% 5/5 [00:00<00:00, 437.41it/s] Evaluation train: 100% 5/5 [00:00<00:00, 794.35it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 796.19it/s] Evaluation test : 100% 2/2 [00:00<00:00, 832.45it/s] Took 0.2502s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.5122 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 2.2324 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.5052 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 56 Training: 100% 5/5 [00:00<00:00, 274.75it/s] Evaluation train: 100% 5/5 [00:00<00:00, 759.95it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 731.99it/s] Evaluation test : 100% 2/2 [00:00<00:00, 769.46it/s] Took 0.3527s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.4816 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 2.2026 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.4698 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 57 Training: 100% 5/5 [00:00<00:00, 289.87it/s] Evaluation train: 100% 5/5 [00:00<00:00, 646.33it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 824.68it/s] Evaluation test : 100% 2/2 [00:00<00:00, 797.85it/s] Took 0.3365s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.4513 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 2.1732 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.4349 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 58 Training: 100% 5/5 [00:00<00:00, 470.30it/s] Evaluation train: 100% 5/5 [00:00<00:00, 807.34it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 803.51it/s] Evaluation test : 100% 2/2 [00:00<00:00, 825.89it/s] Took 0.2415s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.4213 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 2.1442 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.4007 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 59 Training: 100% 5/5 [00:00<00:00, 450.07it/s] Evaluation train: 100% 5/5 [00:00<00:00, 746.18it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 740.00it/s] Evaluation test : 100% 2/2 [00:00<00:00, 796.26it/s] Took 0.2662s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.3916 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 2.1155 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.3669 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 60 Training: 100% 5/5 [00:00<00:00, 460.15it/s] Evaluation train: 100% 5/5 [00:00<00:00, 760.75it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 764.27it/s] Evaluation test : 100% 2/2 [00:00<00:00, 841.05it/s] Took 0.2500s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.3621 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 2.0872 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.3337 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 61 Training: 100% 5/5 [00:00<00:00, 403.43it/s] Evaluation train: 100% 5/5 [00:00<00:00, 710.10it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 840.21it/s] Evaluation test : 100% 2/2 [00:00<00:00, 632.34it/s] Took 0.2807s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.3328 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 2.0592 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.3009 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 62 Training: 100% 5/5 [00:00<00:00, 428.22it/s] Evaluation train: 100% 5/5 [00:00<00:00, 668.14it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 777.15it/s] Evaluation test : 100% 2/2 [00:00<00:00, 669.21it/s] Took 0.2748s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.3038 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 2.0315 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.2685 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 63 Training: 100% 5/5 [00:00<00:00, 454.09it/s] Evaluation train: 100% 5/5 [00:00<00:00, 797.18it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 780.63it/s] Evaluation test : 100% 2/2 [00:00<00:00, 845.20it/s] Took 0.2465s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.2750 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 2.0042 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.2366 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 64 Training: 100% 5/5 [00:00<00:00, 453.88it/s] Evaluation train: 100% 5/5 [00:00<00:00, 608.81it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 757.92it/s] Evaluation test : 100% 2/2 [00:00<00:00, 833.77it/s] Took 0.2652s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.2464 │ 0.6016 │ ├────────────┼────────┼────────────┤ │ vali │ 1.9770 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.2051 │ 0.6611 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 65 Training: 100% 5/5 [00:00<00:00, 412.13it/s] Evaluation train: 100% 5/5 [00:00<00:00, 727.52it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 776.29it/s] Evaluation test : 100% 2/2 [00:00<00:00, 792.42it/s] Took 0.2643s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.2180 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.9502 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.1739 │ 0.6667 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 66 Training: 100% 5/5 [00:00<00:00, 427.18it/s] Evaluation train: 100% 5/5 [00:00<00:00, 747.65it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 807.68it/s] Evaluation test : 100% 2/2 [00:00<00:00, 777.30it/s] Took 0.2586s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.1898 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.9236 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.1431 │ 0.6722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 67 Training: 100% 5/5 [00:00<00:00, 471.89it/s] Evaluation train: 100% 5/5 [00:00<00:00, 803.51it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 832.86it/s] Evaluation test : 100% 2/2 [00:00<00:00, 880.42it/s] Took 0.2424s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.1618 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.8973 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.1127 │ 0.6722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 68 Training: 100% 5/5 [00:00<00:00, 298.62it/s] Evaluation train: 100% 5/5 [00:00<00:00, 796.73it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 829.08it/s] Evaluation test : 100% 2/2 [00:00<00:00, 844.77it/s] Took 0.3015s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.1339 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.8712 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.0826 │ 0.6722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 69 Training: 100% 5/5 [00:00<00:00, 447.07it/s] Evaluation train: 100% 5/5 [00:00<00:00, 346.37it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 766.08it/s] Evaluation test : 100% 2/2 [00:00<00:00, 860.72it/s] Took 0.3286s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.1062 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.8453 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.0529 │ 0.6722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 70 Training: 100% 5/5 [00:00<00:00, 308.59it/s] Evaluation train: 100% 5/5 [00:00<00:00, 674.74it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 823.38it/s] Evaluation test : 100% 2/2 [00:00<00:00, 851.89it/s] Took 0.3164s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.0787 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.8196 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 2.0235 │ 0.6722 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 71 Training: 100% 5/5 [00:00<00:00, 460.36it/s] Evaluation train: 100% 5/5 [00:00<00:00, 403.67it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 713.68it/s] Evaluation test : 100% 2/2 [00:00<00:00, 831.71it/s] Took 0.3091s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.0514 │ 0.6032 │ ├────────────┼────────┼────────────┤ │ vali │ 1.7942 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 1.9944 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 72 Training: 100% 5/5 [00:00<00:00, 453.82it/s] Evaluation train: 100% 5/5 [00:00<00:00, 417.22it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 690.42it/s] Evaluation test : 100% 2/2 [00:00<00:00, 848.45it/s] Took 0.3130s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 2.0242 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 1.7690 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 1.9655 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 73 Training: 100% 5/5 [00:00<00:00, 450.93it/s] Evaluation train: 100% 5/5 [00:00<00:00, 742.78it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 693.50it/s] Evaluation test : 100% 2/2 [00:00<00:00, 805.05it/s] Took 0.2543s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.9972 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 1.7440 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 1.9370 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 74 Training: 100% 5/5 [00:00<00:00, 451.47it/s] Evaluation train: 100% 5/5 [00:00<00:00, 825.81it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 801.51it/s] Evaluation test : 100% 2/2 [00:00<00:00, 789.59it/s] Took 0.2448s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.9703 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 1.7192 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 1.9088 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 75 Training: 100% 5/5 [00:00<00:00, 449.40it/s] Evaluation train: 100% 5/5 [00:00<00:00, 767.51it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 843.08it/s] Evaluation test : 100% 2/2 [00:00<00:00, 845.71it/s] Took 0.2527s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.9436 │ 0.6048 │ ├────────────┼────────┼────────────┤ │ vali │ 1.6946 │ 0.6543 │ ├────────────┼────────┼────────────┤ │ test │ 1.8808 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 76 Training: 100% 5/5 [00:00<00:00, 320.58it/s] Evaluation train: 100% 5/5 [00:00<00:00, 734.19it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 723.90it/s] Evaluation test : 100% 2/2 [00:00<00:00, 826.30it/s] Took 0.3138s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.9171 │ 0.6063 │ ├────────────┼────────┼────────────┤ │ vali │ 1.6703 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.8532 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 77 Training: 100% 5/5 [00:00<00:00, 466.08it/s] Evaluation train: 100% 5/5 [00:00<00:00, 818.85it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 748.45it/s] Evaluation test : 100% 2/2 [00:00<00:00, 858.17it/s] Took 0.2412s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.8907 │ 0.6079 │ ├────────────┼────────┼────────────┤ │ vali │ 1.6461 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.8258 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 78 Training: 100% 5/5 [00:00<00:00, 421.08it/s] Evaluation train: 100% 5/5 [00:00<00:00, 761.99it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 858.61it/s] Evaluation test : 100% 2/2 [00:00<00:00, 865.34it/s] Took 0.2541s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.8645 │ 0.6079 │ ├────────────┼────────┼────────────┤ │ vali │ 1.6221 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.7986 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 79 Training: 100% 5/5 [00:00<00:00, 452.93it/s] Evaluation train: 100% 5/5 [00:00<00:00, 779.99it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 815.38it/s] Evaluation test : 100% 2/2 [00:00<00:00, 813.24it/s] Took 0.2471s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.8385 │ 0.6095 │ ├────────────┼────────┼────────────┤ │ vali │ 1.5984 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.7718 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 80 Training: 100% 5/5 [00:00<00:00, 442.53it/s] Evaluation train: 100% 5/5 [00:00<00:00, 768.78it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 770.30it/s] Evaluation test : 100% 2/2 [00:00<00:00, 761.42it/s] Took 0.2552s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.8127 │ 0.6095 │ ├────────────┼────────┼────────────┤ │ vali │ 1.5749 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.7451 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 81 Training: 100% 5/5 [00:00<00:00, 414.58it/s] Evaluation train: 100% 5/5 [00:00<00:00, 758.85it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 840.54it/s] Evaluation test : 100% 2/2 [00:00<00:00, 777.88it/s] Took 0.2594s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.7870 │ 0.6095 │ ├────────────┼────────┼────────────┤ │ vali │ 1.5515 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.7188 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 82 Training: 100% 5/5 [00:00<00:00, 391.73it/s] Evaluation train: 100% 5/5 [00:00<00:00, 751.61it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 690.99it/s] Evaluation test : 100% 2/2 [00:00<00:00, 841.89it/s] Took 0.2698s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.7615 │ 0.6127 │ ├────────────┼────────┼────────────┤ │ vali │ 1.5284 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.6927 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 83 Training: 100% 5/5 [00:00<00:00, 301.75it/s] Evaluation train: 100% 5/5 [00:00<00:00, 746.69it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 874.91it/s] Evaluation test : 100% 2/2 [00:00<00:00, 819.52it/s] Took 0.3045s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.7362 │ 0.6127 │ ├────────────┼────────┼────────────┤ │ vali │ 1.5055 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.6668 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 84 Training: 100% 5/5 [00:00<00:00, 369.40it/s] Evaluation train: 100% 5/5 [00:00<00:00, 655.20it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 774.43it/s] Evaluation test : 100% 2/2 [00:00<00:00, 786.19it/s] Took 0.2939s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.7110 │ 0.6127 │ ├────────────┼────────┼────────────┤ │ vali │ 1.4828 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.6412 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 85 Training: 100% 5/5 [00:00<00:00, 475.28it/s] Evaluation train: 100% 5/5 [00:00<00:00, 819.07it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 818.72it/s] Evaluation test : 100% 2/2 [00:00<00:00, 850.60it/s] Took 0.2376s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.6861 │ 0.6111 │ ├────────────┼────────┼────────────┤ │ vali │ 1.4603 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.6158 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 86 Training: 100% 5/5 [00:00<00:00, 422.43it/s] Evaluation train: 100% 5/5 [00:00<00:00, 795.88it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 786.04it/s] Evaluation test : 100% 2/2 [00:00<00:00, 720.98it/s] Took 0.2584s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.6613 │ 0.6111 │ ├────────────┼────────┼────────────┤ │ vali │ 1.4381 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.5907 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 87 Training: 100% 5/5 [00:00<00:00, 440.43it/s] Evaluation train: 100% 5/5 [00:00<00:00, 795.64it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 722.41it/s] Evaluation test : 100% 2/2 [00:00<00:00, 877.65it/s] Took 0.2490s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.6367 │ 0.6111 │ ├────────────┼────────┼────────────┤ │ vali │ 1.4161 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.5658 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 88 Training: 100% 5/5 [00:00<00:00, 421.30it/s] Evaluation train: 100% 5/5 [00:00<00:00, 774.97it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 791.08it/s] Evaluation test : 100% 2/2 [00:00<00:00, 698.35it/s] Took 0.3407s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.6124 │ 0.6111 │ ├────────────┼────────┼────────────┤ │ vali │ 1.3942 │ 0.6667 │ ├────────────┼────────┼────────────┤ │ test │ 1.5412 │ 0.6778 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 89 Training: 100% 5/5 [00:00<00:00, 430.04it/s] Evaluation train: 100% 5/5 [00:00<00:00, 790.39it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 582.62it/s] Evaluation test : 100% 2/2 [00:00<00:00, 813.48it/s] Took 0.2596s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.5882 │ 0.6111 │ ├────────────┼────────┼────────────┤ │ vali │ 1.3727 │ 0.6790 │ ├────────────┼────────┼────────────┤ │ test │ 1.5168 │ 0.6833 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 90 Training: 100% 5/5 [00:00<00:00, 437.97it/s] Evaluation train: 100% 5/5 [00:00<00:00, 767.60it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 649.37it/s] Evaluation test : 100% 2/2 [00:00<00:00, 787.81it/s] Took 0.2602s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.5642 │ 0.6159 │ ├────────────┼────────┼────────────┤ │ vali │ 1.3513 │ 0.6790 │ ├────────────┼────────┼────────────┤ │ test │ 1.4927 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 91 Training: 100% 5/5 [00:00<00:00, 457.56it/s] Evaluation train: 100% 5/5 [00:00<00:00, 743.46it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 829.24it/s] Evaluation test : 100% 2/2 [00:00<00:00, 845.71it/s] Took 0.2483s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.5405 │ 0.6175 │ ├────────────┼────────┼────────────┤ │ vali │ 1.3302 │ 0.6914 │ ├────────────┼────────┼────────────┤ │ test │ 1.4688 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 92 Training: 100% 5/5 [00:00<00:00, 440.29it/s] Evaluation train: 100% 5/5 [00:00<00:00, 706.11it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 718.57it/s] Evaluation test : 100% 2/2 [00:00<00:00, 856.50it/s] Took 0.2597s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.5169 │ 0.6365 │ ├────────────┼────────┼────────────┤ │ vali │ 1.3093 │ 0.7037 │ ├────────────┼────────┼────────────┤ │ test │ 1.4452 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 93 Training: 100% 5/5 [00:00<00:00, 384.35it/s] Evaluation train: 100% 5/5 [00:00<00:00, 760.47it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 800.44it/s] Evaluation test : 100% 2/2 [00:00<00:00, 839.62it/s] Took 0.2693s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.4936 │ 0.6524 │ ├────────────┼────────┼────────────┤ │ vali │ 1.2886 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.4218 │ 0.6944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 94 Training: 100% 5/5 [00:00<00:00, 459.83it/s] Evaluation train: 100% 5/5 [00:00<00:00, 770.96it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 817.44it/s] Evaluation test : 100% 2/2 [00:00<00:00, 846.82it/s] Took 0.2464s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.4705 │ 0.6524 │ ├────────────┼────────┼────────────┤ │ vali │ 1.2682 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.3987 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 95 Training: 100% 5/5 [00:00<00:00, 468.25it/s] Evaluation train: 100% 5/5 [00:00<00:00, 748.80it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 863.56it/s] Evaluation test : 100% 2/2 [00:00<00:00, 848.36it/s] Took 0.2432s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.4476 │ 0.6540 │ ├────────────┼────────┼────────────┤ │ vali │ 1.2481 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.3758 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 96 Training: 100% 5/5 [00:00<00:00, 444.56it/s] Evaluation train: 100% 5/5 [00:00<00:00, 790.66it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 829.73it/s] Evaluation test : 100% 2/2 [00:00<00:00, 729.89it/s] Took 0.2514s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.4249 │ 0.6524 │ ├────────────┼────────┼────────────┤ │ vali │ 1.2282 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.3531 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 97 Training: 100% 5/5 [00:00<00:00, 433.12it/s] Evaluation train: 100% 5/5 [00:00<00:00, 751.99it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 810.65it/s] Evaluation test : 100% 2/2 [00:00<00:00, 832.29it/s] Took 0.2544s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.4025 │ 0.6508 │ ├────────────┼────────┼────────────┤ │ vali │ 1.2085 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.3308 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 98 Training: 100% 5/5 [00:00<00:00, 475.64it/s] Evaluation train: 100% 5/5 [00:00<00:00, 804.34it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 804.59it/s] Evaluation test : 100% 2/2 [00:00<00:00, 834.60it/s] Took 0.2385s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.3804 │ 0.6540 │ ├────────────┼────────┼────────────┤ │ vali │ 1.1891 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.3087 │ 0.6944 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 99 Training: 100% 5/5 [00:00<00:00, 468.49it/s] Evaluation train: 100% 5/5 [00:00<00:00, 713.03it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 772.57it/s] Evaluation test : 100% 2/2 [00:00<00:00, 819.92it/s] Took 0.2515s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.3584 │ 0.6540 │ ├────────────┼────────┼────────────┤ │ vali │ 1.1699 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.2868 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Epoch 100 Training: 100% 5/5 [00:00<00:00, 412.88it/s] Evaluation train: 100% 5/5 [00:00<00:00, 788.17it/s] Evaluation vali : 100% 1/1 [00:00<00:00, 792.72it/s] Evaluation test : 100% 2/2 [00:00<00:00, 849.48it/s] Took 0.2582s ╒════════════╤════════╤════════════╕ │ Survived │ loss │ accuracy │ ╞════════════╪════════╪════════════╡ │ train │ 1.3368 │ 0.6540 │ ├────────────┼────────┼────────────┤ │ vali │ 1.1510 │ 0.7160 │ ├────────────┼────────┼────────────┤ │ test │ 1.2652 │ 0.6889 │ ╘════════════╧════════╧════════════╛ Validation loss on combined improved, model saved

Best validation model epoch: 100 Best validation model loss on validation set combined: 1.1510242415063174 Best validation model loss on test set combined: 1.2652276780870226

╒═════════╕ │ PREDICT │ ╘═════════╛

Evaluation: 100% 2/2 [00:00<00:00, 50.27it/s]

===== Survived ===== accuracy: 0.6888888888888889 average_precision_macro: 0.6052279888757147 average_precision_micro: 0.6052279888757147 average_precision_samples: 0.6052279888757147 loss: 1.2652276780870226 overall_stats: { ‘avg_f1_score_macro’: 0.68, ‘avg_f1_score_micro’: 0.6888888888888889, ‘avg_f1_score_weighted’: 0.6948148148148149, ‘avg_precision_macro’: 0.681733746130031, ‘avg_precision_micro’: 0.6888888888888889, ‘avg_precision_weighted’: 0.6888888888888889, ‘avg_recall_macro’: 0.6963210702341137, ‘avg_recall_micro’: 0.6888888888888889, ‘avg_recall_weighted’: 0.6888888888888889, ‘kappa_score’: 0.36802507836990594, ‘overall_accuracy’: 0.6888888888888889} per_class_stats: {False: { ‘accuracy’: 0.6888888888888889, ‘f1_score’: 0.7333333333333334, ‘fall_out’: 0.44705882352941173, ‘false_discovery_rate’: 0.33043478260869563, ‘false_negative_rate’: 0.18947368421052635, ‘false_negatives’: 18, ‘false_omission_rate’: 0.27692307692307694, ‘false_positive_rate’: 0.44705882352941173, ‘false_positives’: 38, ‘hit_rate’: 0.8105263157894737, ‘informedness’: 0.36346749226006203, ‘markedness’: 0.39264214046822743, ‘matthews_correlation_coefficient’: 0.377773284062822, ‘miss_rate’: 0.18947368421052635, ‘negative_predictive_value’: 0.7230769230769231, ‘positive_predictive_value’: 0.6695652173913044, ‘precision’: 0.6695652173913044, ‘recall’: 0.8105263157894737, ‘sensitivity’: 0.8105263157894737, ‘specificity’: 0.5529411764705883, ‘true_negative_rate’: 0.5529411764705883, ‘true_negatives’: 47, ‘true_positive_rate’: 0.8105263157894737, ‘true_positives’: 77}, True: { ‘accuracy’: 0.6888888888888889, ‘f1_score’: 0.6266666666666667, ‘fall_out’: 0.18947368421052635, ‘false_discovery_rate’: 0.27692307692307694, ‘false_negative_rate’: 0.44705882352941173, ‘false_negatives’: 38, ‘false_omission_rate’: 0.33043478260869563, ‘false_positive_rate’: 0.18947368421052635, ‘false_positives’: 18, ‘hit_rate’: 0.5529411764705883, ‘informedness’: 0.36346749226006203, ‘markedness’: 0.39264214046822743, ‘matthews_correlation_coefficient’: 0.377773284062822, ‘miss_rate’: 0.44705882352941173, ‘negative_predictive_value’: 0.6695652173913044, ‘positive_predictive_value’: 0.7230769230769231, ‘precision’: 0.7230769230769231, ‘recall’: 0.5529411764705883, ‘sensitivity’: 0.5529411764705883, ‘specificity’: 0.8105263157894737, ‘true_negative_rate’: 0.8105263157894737, ‘true_negatives’: 77, ‘true_positive_rate’: 0.5529411764705883, ‘true_positives’: 47}} precision_recall_curve: { ‘precisions’: [ 0.39156626506024095, 0.3878787878787879, 0.3902439024390244, 0.39263803680981596, 0.3950617283950617, 0.39751552795031053, 0.4, 0.4025157232704403, 0.4050632911392405, 0.40764331210191085, 0.40384615384615385, 0.4064516129032258, 0.4090909090909091, 0.4117647058823529, 0.4144736842105263, 0.41721854304635764, 0.42, 0.4161073825503356, 0.4189189189189189, 0.4217687074829932, 0.4246575342465753, 0.42758620689655175, 0.4305555555555556, 0.43356643356643354, 0.43661971830985913, 0.4326241134751773, 0.4357142857142857, 0.43884892086330934, 0.4420289855072464, 0.44525547445255476, 0.4485294117647059, 0.45185185185185184, 0.4552238805970149, 0.45864661654135336, 0.4621212121212121, 0.4580152671755725, 0.46153846153846156, 0.46511627906976744, 0.46875, 0.47244094488188976, 0.47619047619047616, 0.48, 0.4838709677419355, 0.4878048780487805, 0.4918032786885246, 0.49586776859504134, 0.49166666666666664, 0.4957983193277311, 0.5, 0.5042735042735043, 0.5086206896551724, 0.5130434782608696, 0.5175438596491229, 0.5132743362831859, 0.5178571428571429, 0.5135135135135135, 0.509090909090909, 0.5045871559633027, 0.5092592592592593, 0.514018691588785, 0.5094339622641509, 0.5142857142857142, 0.5192307692307693, 0.5242718446601942, 0.5196078431372549, 0.5247524752475248, 0.53, 0.5353535353535354, 0.5408163265306123, 0.5463917525773195, 0.5520833333333334, 0.5473684210526316, 0.5425531914893617, 0.5483870967741935, 0.5604395604395604, 0.5555555555555556, 0.550561797752809, 0.5568181818181818, 0.5517241379310345, 0.5581395348837209, 0.5529411764705883, 0.5476190476190477, 0.5542168674698795, 0.5609756097560976, 0.5679012345679012, 0.575, 0.569620253164557, 0.5641025641025641, 0.5584415584415584, 0.5526315789473685, 0.56, 0.5833333333333334, 0.5915492957746479, 0.5857142857142857, 0.5942028985507246, 0.5970149253731343, 0.6060606060606061, 0.6, 0.59375, 0.6031746031746031, 0.5967741935483871, 0.5901639344262295, 0.6, 0.5932203389830508, 0.603448275862069, 0.5964912280701754, 0.6071428571428571, 0.6181818181818182, 0.6296296296296297, 0.6153846153846154, 0.6078431372549019, 0.62, 0.6122448979591837, 0.6041666666666666, 0.6170212765957447, 0.6086956521739131, 0.6, 0.6136363636363636, 0.627906976744186, 0.6190476190476191, 0.6097560975609756, 0.625, 0.6153846153846154, 0.631578947368421, 0.6216216216216216, 0.6111111111111112, 0.6285714285714286, 0.6470588235294118, 0.6363636363636364, 0.625, 0.6451612903225806, 0.6333333333333333, 0.6206896551724138, 0.6428571428571429, 0.6666666666666666, 0.6538461538461539, 0.64, 0.625, 0.6521739130434783, 0.6363636363636364, 0.6190476190476191, 0.65, 0.631578947368421, 0.6111111111111112, 0.6470588235294118, 0.625, 0.6666666666666666, 0.7142857142857143, 0.7692307692307693, 0.75, 0.8181818181818182, 0.8, 0.7777777777777778, 0.75, 0.7142857142857143, 1.0], ‘recalls’: [ 1.0, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9846153846153847, 0.9692307692307692, 0.9692307692307692, 0.9692307692307692, 0.9692307692307692, 0.9692307692307692, 0.9692307692307692, 0.9692307692307692, 0.9538461538461539, 0.9538461538461539, 0.9538461538461539, 0.9538461538461539, 0.9538461538461539, 0.9538461538461539, 0.9538461538461539, 0.9538461538461539, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9384615384615385, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9230769230769231, 0.9076923076923077, 0.9076923076923077, 0.9076923076923077, 0.9076923076923077, 0.9076923076923077, 0.9076923076923077, 0.9076923076923077, 0.8923076923076924, 0.8923076923076924, 0.8769230769230769, 0.8615384615384616, 0.8461538461538461, 0.8461538461538461, 0.8461538461538461, 0.8307692307692308, 0.8307692307692308, 0.8307692307692308, 0.8307692307692308, 0.8153846153846154, 0.8153846153846154, 0.8153846153846154, 0.8153846153846154, 0.8153846153846154, 0.8153846153846154, 0.8153846153846154, 0.8, 0.7846153846153846, 0.7846153846153846, 0.7846153846153846, 0.7692307692307693, 0.7538461538461538, 0.7538461538461538, 0.7384615384615385, 0.7384615384615385, 0.7230769230769231, 0.7076923076923077, 0.7076923076923077, 0.7076923076923077, 0.7076923076923077, 0.7076923076923077, 0.6923076923076923, 0.676923076923077, 0.6615384615384615, 0.6461538461538462, 0.6461538461538462, 0.6461538461538462, 0.6461538461538462, 0.6307692307692307, 0.6307692307692307, 0.6153846153846154, 0.6153846153846154, 0.6, 0.5846153846153846, 0.5846153846153846, 0.5692307692307692, 0.5538461538461539, 0.5538461538461539, 0.5384615384615384, 0.5384615384615384, 0.5230769230769231, 0.5230769230769231, 0.5230769230769231, 0.5230769230769231, 0.49230769230769234, 0.47692307692307695, 0.47692307692307695, 0.46153846153846156, 0.4461538461538462, 0.4461538461538462, 0.4307692307692308, 0.4153846153846154, 0.4153846153846154, 0.4153846153846154, 0.4, 0.38461538461538464, 0.38461538461538464, 0.36923076923076925, 0.36923076923076925, 0.35384615384615387, 0.3384615384615385, 0.3384615384615385, 0.3384615384615385, 0.3230769230769231, 0.3076923076923077, 0.3076923076923077, 0.2923076923076923, 0.27692307692307694, 0.27692307692307694, 0.27692307692307694, 0.26153846153846155, 0.24615384615384617, 0.23076923076923078, 0.23076923076923078, 0.2153846153846154, 0.2, 0.2, 0.18461538461538463, 0.16923076923076924, 0.16923076923076924, 0.15384615384615385, 0.15384615384615385, 0.15384615384615385, 0.15384615384615385, 0.13846153846153847, 0.13846153846153847, 0.12307692307692308, 0.1076923076923077, 0.09230769230769231, 0.07692307692307693, 0.0]} roc_auc_macro: 0.7635451505016722 roc_auc_micro: 0.7635451505016722

Finished: experiment_run Saved to: results/experiment_run_0

</div>
</div>
</div>



<div markdown="1" class="cell code_cell">
<div class="input_area" markdown="1">

!ludwig visualize –visualization learning_curves –training_statistics results/experiment_run_0/training_statistics.json

</div>

<div class="output_wrapper" markdown="1">
<div class="output_subarea" markdown="1">
{:.output_stream}

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

<Figure size 800x550 with 1 Axes> <Figure size 800x550 with 1 Axes> <Figure size 800x550 with 1 Axes> <Figure size 800x550 with 1 Axes>

</div>
</div>
</div>



<div markdown="1" class="cell code_cell">
<div class="input_area" markdown="1">
```!cd results/experiment_run_0/ &&ls

```!ludwig predict –data_csv train.csv –model_path results/experiment_run_0/model/

</div>

<div class="output_wrapper" markdown="1">
<div class="output_subarea" markdown="1">
{:.output_stream}

WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons If you depend on functionality not listed there, please file an issue.

| |_ _ | |_ __ () _ | | || / \ V V / / _ | ||_,_,|_/_/|_, | |__/ ludwig v0.1.1 - Predict

Dataset type: generic Dataset path: train.csv Model path: results/experiment_run_0/model/ Output path: results_0

Found hdf5 with the same filename of the csv, using it instead Loading metadata from: results/experiment_run_0/model/train_set_metadata.json Loading data from: train.hdf5

╒═══════════════╕ │ LOADING MODEL │ ╘═══════════════╛

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. embedding_size (50) is greater than vocab_size (4). Setting embedding size to be equal to vocab_size. embedding_size (50) is greater than vocab_size (3). Setting embedding size to be equal to vocab_size. embedding_size (50) is greater than vocab_size (5). Setting embedding size to be equal to vocab_size. WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_grad.py:425: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/array_grad.py:425: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead.

╒═════════╕ │ PREDICT │ ╘═════════╛

2019-04-15 15:03:29.611185: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz 2019-04-15 15:03:29.611485: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x2bfcc00 executing computations on platform Host. Devices: 2019-04-15 15:03:29.611522: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. From /usr/local/lib/python3.6/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. INFO:tensorflow:Restoring parameters from results/experiment_run_0/model/model_weights Restoring parameters from results/experiment_run_0/model/model_weights Evaluation: 100% 2/2 [00:00<00:00, 64.62it/s]

===== Survived ===== accuracy: 0.6888888888888889 average_precision_macro: 0.6052279888757147 average_precision_micro: 0.6052279888757147 average_precision_samples: 0.6052279888757147 loss: 1.2652276780870226 overall_stats: { ‘avg_f1_score_macro’: 0.68, ‘avg_f1_score_micro’: 0.6888888888888889, ‘avg_f1_score_weighted’: 0.6948148148148149, ‘avg_precision_macro’: 0.681733746130031, ‘avg_precision_micro’: 0.6888888888888889, ‘avg_precision_weighted’: 0.6888888888888889, ‘avg_recall_macro’: 0.6963210702341137, ‘avg_recall_micro’: 0.6888888888888889, ‘avg_recall_weighted’: 0.6888888888888889, ‘kappa_score’: 0.36802507836990594, ‘overall_accuracy’: 0.6888888888888889} per_class_stats: {False: { ‘accuracy’: 0.6888888888888889, ‘f1_score’: 0.7333333333333334, ‘fall_out’: 0.44705882352941173, ‘false_discovery_rate’: 0.33043478260869563, ‘false_negative_rate’: 0.18947368421052635, ‘false_negatives’: 18, ‘false_omission_rate’: 0.27692307692307694, ‘false_positive_rate’: 0.44705882352941173, ‘false_positives’: 38, ‘hit_rate’: 0.8105263157894737, ‘informedness’: 0.36346749226006203, ‘markedness’: 0.39264214046822743, ‘matthews_correlation_coefficient’: 0.377773284062822, ‘miss_rate’: 0.18947368421052635, ‘negative_predictive_value’: 0.7230769230769231, ‘positive_predictive_value’: 0.6695652173913044, ‘precision’: 0.6695652173913044, ‘recall’: 0.8105263157894737, ‘sensitivity’: 0.8105263157894737, ‘specificity’: 0.5529411764705883, ‘true_negative_rate’: 0.5529411764705883, ‘true_negatives’: 47, ‘true_positive_rate’: 0.8105263157894737, ‘true_positives’: 77}, True: { ‘accuracy’: 0.6888888888888889, ‘f1_score’: 0.6266666666666667, ‘fall_out’: 0.18947368421052635, ‘false_discovery_rate’: 0.27692307692307694, ‘false_negative_rate’: 0.44705882352941173, ‘false_negatives’: 38, ‘false_omission_rate’: 0.33043478260869563, ‘false_positive_rate’: 0.18947368421052635, ‘false_positives’: 18, ‘hit_rate’: 0.5529411764705883, ‘informedness’: 0.36346749226006203, ‘markedness’: 0.39264214046822743, ‘matthews_correlation_coefficient’: 0.377773284062822, ‘miss_rate’: 0.44705882352941173, ‘negative_predictive_value’: 0.6695652173913044, ‘positive_predictive_value’: 0.7230769230769231, ‘precision’: 0.7230769230769231, ‘recall’: 0.5529411764705883, ‘sensitivity’: 0.5529411764705883, ‘specificity’: 0.8105263157894737, ‘true_negative_rate’: 0.8105263157894737, ‘true_negatives’: 77, ‘true_positive_rate’: 0.5529411764705883, ‘true_positives’: 47}} precision_recall_curve: { ‘precisions’: [ 0.39156626506024095, 0.3878787878787879, 0.3902439024390244, 0.39263803680981596, 0.3950617283950617, 0.39751552795031053, 0.4, 0.4025157232704403, 0.4050632911392405, 0.40764331210191085, 0.40384615384615385, 0.4064516129032258, 0.4090909090909091, 0.4117647058823529, 0.4144736842105263, 0.41721854304635764, 0.42, 0.4161073825503356, 0.4189189189189189, 0.4217687074829932, 0.4246575342465753, 0.42758620689655175, 0.4305555555555556, 0.43356643356643354, 0.43661971830985913, 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</div>
</div>
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<div markdown="1" class="cell code_cell">
<div class="input_area" markdown="1">
```!ls results/experiment_run_0/model/