metadata

tags:
  - generated_from_trainer
datasets:
  - image_folder
model_index:
  - name: test_model_a
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: image_folder
          type: image_folder
          args: default
base_model: lysandre/tiny-vit-random

test_model_a

This model is a fine-tuned version of lysandre/tiny-vit-random on the image_folder dataset.

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 40

Framework versions

Transformers 4.8.2
Pytorch 1.9.0+cu102
Datasets 1.9.1.dev0
Tokenizers 0.10.3