Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
beit-base – AI Model by ChasingMercer | AlphaNeural AI
You can deploy this model and start earning money today!
ChasingMercer
/
beit-base
like
0
transformers
pytorch
tensorboard
beit
image-classification
generated_from_trainer
cats_vs_dogs
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
beit-base
This model is a fine-tuned version of
microsoft/beit-base-patch16-224-pt22k-ft22k
on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:
Loss: 0.0116
Accuracy: 0.9977
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0303
1.0
585
0.0186
0.9942
0.0374
2.0
1170
0.0150
0.9955
0.0559
3.0
1755
0.0116
0.9977
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
