Training Stuck at 0%

I am trying to fit a model with my own image datasets 1,000 images, 5 labels (Image dimension : 128x128 pixels)

I Have no idea with the output Only 0% from start to finish

train_path = ‘./productV1.1/train_images/'
train_labels = './productV1.1/product.csv'

X, y = load_image_dataset(csv_file_path=train_labels,
                                    images_path=train_path)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

model = ak.ImageClassifier(verbose=True)
model.fit(X_train, y_train, time_limit=seconds)
model.final_fit(X_train, y_train, X_test, y_test, retrain=True)

————

Output :

Preprocessing the images. Preprocessing finished.

Initializing search. Initialization finished.

±---------------------------------------------+ | Training model 0 | ±---------------------------------------------+ Using TensorFlow backend.

Epoch-1, Current Metric - 0: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-1, Current Metric - 0: 10 batch [00:00, 40.43 batch/s]

Epoch-1, Current Metric - 0: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-1, Current Metric - 0: 10 batch [00:00, 68.41 batch/s]

Epoch-2, Current Metric - 0.1111111111111111: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-2, Current Metric - 0.1111111111111111: 10 batch [00:00, 56.75 batch/s]

Epoch-2, Current Metric - 0.1111111111111111: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-2, Current Metric - 0.1111111111111111: 10 batch [00:00, 49.93 batch/s]

. . …

±---------------------------------------------+ | Training model 13 | ±---------------------------------------------+

Epoch-1, Current Metric - 0: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-1, Current Metric - 0: 10 batch [00:00, 19.50 batch/s]

Epoch-1, Current Metric - 0: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-1, Current Metric - 0: 10 batch [00:00, 35.31 batch/s]

Epoch-2, Current Metric - 0.1111111111111111: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-2, Current Metric - 0.1111111111111111: 10 batch [00:00, 32.93 batch/s]

Epoch-2, Current Metric - 0.1111111111111111: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-2, Current Metric - 0.1111111111111111: 10 batch [00:00, 24.65 batch/s]

Epoch-3, Current Metric - 0.1111111111111111: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-3, Current Metric - 0.1111111111111111: 10 batch [00:00, 36.40 batch/s]

Epoch-3, Current Metric - 0.1111111111111111: 0%| | 0/1 [00:00<?, ? batch/s] Epoch-3, Current Metric - 0.1111111111111111: 10 batch [00:00, 26.43 batch/s]

[kuba-machacek]

I’m getting the same issue. It seems to be stuck completely as the time_limit param is not working in this case.

[DGaffney]

Adding my voice to this - I am also running into this issue on 0.3.7 on python 3.6.7, Ubuntu 18.04.1 on a fresh amazon box, only autokeras + dependencies installed, running text classifier as follows:

from autokeras import TextClassifier

import csv
rows = []
labels = []
with open('labeled_data.csv', 'r') as f:
    reader = csv.reader(f)
    for row in reader:
        rows.append(row[0])
        labels.append(int(row[1]))

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(rows, labels, test_size=0.33, random_state=42)
clf = TextClassifier(verbose=True)
clf.fit(x=X_train, y=y_train, time_limit=12*60*60)
clf.final_fit(X_train, y_train, X_test, y_test, retrain=True)
y_out = clf.evaluate(X_test, y_test)

It gets stuck during fit like so:

Saving model.
+--------------------------------------------------------------------------+
|        Model ID        |          Loss          |      Metric Value      |
+--------------------------------------------------------------------------+
|           31           |   2.545453941822052    |   0.6641509433962264   |
+--------------------------------------------------------------------------+


+----------------------------------------------+
|              Training model 32               |
+----------------------------------------------+

No loss decrease after 5 epochs.


Saving model.
+--------------------------------------------------------------------------+
|        Model ID        |          Loss          |      Metric Value      |
+--------------------------------------------------------------------------+
|           32           |   5.955252933502197    |  0.43018867924528303   |
+--------------------------------------------------------------------------+


+----------------------------------------------+
|              Training model 33               |
+----------------------------------------------+
Epoch-1, Current Metric - 0:   0%|                                        | 0/5 [00:00<?, ? batch/s]

happy to provide the CSV I’m using off-list.