README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - fashion_mnist
metrics:
  - accuracy
model-index:
  - name: fashion_classification_model
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: fashion_mnist
          type: fashion_mnist
          config: fashion_mnist
          split: train[:5000]
          args: fashion_mnist
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.792

fashion_classification_model

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

• Loss: 1.0461
• Accuracy: 0.792

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.285	0.99	62	1.2299	0.718
1.2002	2.0	125	1.2043	0.744
1.0345	2.98	186	1.0461	0.792

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3