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vit-finetuned-vanilla-cifar10-0 – AI Model by 02shanky | AlphaNeural AI
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02shanky
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vit-finetuned-vanilla-cifar10-0
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transformers
pytorch
vit
image-classification
generated_from_trainer
cifar10
02shanky/vit-finetuned-cifar10
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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vit-finetuned-vanilla-cifar10-0
This model is a fine-tuned version of
02shanky/vit-finetuned-cifar10
on the cifar10 dataset. It achieves the following results on the evaluation set:
Loss: 0.0306
Accuracy: 0.992
Model description
More information needed
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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
316
0.0619
0.9836
0.2651
2.0
633
0.0460
0.9867
0.2651
3.0
949
0.0415
0.9878
0.1967
4.0
1266
0.0326
0.9916
0.1552
4.99
1580
0.0306
0.992
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
