Total runs:
110
Run Growth:
-52
Growth Rate:
-47.27%
Sponsored by
Agentkit
keras-io / bit
Model's Last Updated: July 05 2024
image-to-image
Introduction of bit
Model Details of bit
Model description
This repo contains the model for the notebook Image Classification using BigTransfer (BiT) .
Full credits go to Sayan Nath
Reproduced by Rushi Chaudhari
BigTransfer (also known as BiT) is a state-of-the-art transfer learning method for image classification.
Dataset
The Flower Dataset is A large set of images of flowers
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
RESIZE_TO = 384
CROP_TO = 224
BATCH_SIZE = 64
STEPS_PER_EPOCH = 10
AUTO = tf.data.AUTOTUNE # optimise the pipeline performance
NUM_CLASSES = 5 # number of classes
SCHEDULE_LENGTH = (
500 # we will train on lower resolution images and will still attain good results
)
SCHEDULE_BOUNDARIES = [
200,
300,
400,
]
The hyperparamteres like
SCHEDULE_LENGTH
and
SCHEDULE_BOUNDARIES
are determined based on empirical results. The method has been explained in the
original paper
and in their
Google AI Blog Post
.
The
SCHEDULE_LENGTH
is aslo determined whether to use
MixUp Augmentation
or not. You can also find an easy MixUp Implementation in
Keras Coding Examples
.
Training results
Runs of keras-io bit on huggingface.co
9
Total runs
0
24-hour runs
-2
3-day runs
-1
7-day runs
-9
30-day runs
More Information About bit huggingface.co Model
Url of bit
bit huggingface.co Url
Provider of bit huggingface.co
Other API from keras-io
Updated:July 05 2024
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57.14%
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42.86%
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4
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3
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75.00%
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4
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-1
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-25.00%
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3
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-16
Growth Rate:
-533.33%
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3
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1
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33.33%
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0.00%