Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
cats-dogs-classification – AI Model by Salmamoori | AlphaNeural AI
You can deploy this model and start earning money today!
Salmamoori
/
cats-dogs-classification
like
0
transformers
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Visualize in Weights & Biases
cats-dogs-classification
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: 6.5504
Accuracy: 0.5005
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
0.0378
1.0
2500
0.0288
0.9932
0.0084
2.0
5000
0.0277
0.9944
0.0028
3.0
7500
0.0180
0.9962
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
