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planes-trains-automobiles – AI Model by nateraw | AlphaNeural AI
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planes-trains-automobiles
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transformers
pytorch
tensorboard
vit
image-classification
huggingpics
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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planes-trains-automobiles
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the huggingpics dataset. It achieves the following results on the evaluation set:
Loss: 0.0534
Accuracy: 0.9851
Model description
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for
anything
by running
the demo on Google Colab
.
Report any issues with the demo at the
github repo
.
Example Images
automobiles
automobiles
planes
planes
trains
trains
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0283
1.0
48
0.0434
0.9851
0.0224
2.0
96
0.0548
0.9851
0.0203
3.0
144
0.0445
0.9851
0.0195
4.0
192
0.0534
0.9851
Framework versions
Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
