README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - image_folder
metrics:
  - f1
base_model: facebook/deit-tiny-patch16-224
model-index:
  - name: test
    results:
      - task:
          type: image-classification
          name: Image Classification
        dataset:
          name: image_folder
          type: image_folder
          args: default
        metrics:
          - type: f1
            value: 0.12404601272248332
            name: F1

test

This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on the image_folder dataset. It achieves the following results on the evaluation set:

• Loss: 2.2724
• F1: 0.1240

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 0.001

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	0.0	1	2.2724	0.1240

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0
• Datasets 2.0.0
• Tokenizers 0.11.6