metadata

base_model: shehan97/mobilevitv2-2.0-imagenet1k-256
tags:
  - generated_from_trainer
model-index:
  - name: quickdraw-MobileVITV2-1.0-Pretrained
    results: []

quickdraw-MobileVITV2-1.0-Pretrained

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
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10000
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.40.2
Pytorch 2.2.1
Datasets 2.19.1
Tokenizers 0.19.1