metadata

license: other
base_model: apple/mobilevitv2-1.0-imagenet1k-256
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: car_identified_model_7
    results: []

car_identified_model_7

This model is a fine-tuned version of apple/mobilevitv2-1.0-imagenet1k-256 on the imagefolder dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5066
eval_f1: 0.4186
eval_roc_auc: 0.7233
eval_accuracy: 0.1429
eval_runtime: 2.3108
eval_samples_per_second: 18.176
eval_steps_per_second: 1.298
epoch: 228.36
step: 314

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 400

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1