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VIT-cats-vs-dogs – AI Model by Salmamoori | AlphaNeural AI
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VIT-cats-vs-dogs
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transformers
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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VIT-cats-vs-dogs
This model is a fine-tuned version of
google/vit-base-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.1878
Accuracy: 0.4995
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0361
1.0
2500
0.0304
0.993
0.0102
2.0
5000
0.0222
0.995
0.0011
3.0
7500
0.0263
0.9946
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
