This model is a fine-tuned version of shehan97/mobilevitv2-2.0-imagenet1k-256 on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.9671
eval_accuracy: 0.7622
eval_runtime: 16.2585
eval_samples_per_second: 15376.569
eval_steps_per_second: 30.077
epoch: 6.2626
step: 55048
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: 0.0008
train_batch_size: 512
eval_batch_size: 512
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
