metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - image_folder
model-index:
  - name: violation-classification-bantai-vit-withES
    results: []

violation-classification-bantai-vit-withES

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image_folder dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2234
eval_accuracy: 0.9592
eval_runtime: 64.9173
eval_samples_per_second: 85.37
eval_steps_per_second: 2.68
epoch: 227.72
step: 23000

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 500

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1