README.md

metadata

license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
model-index:
  - name: >-
      vit-base-patch16-224-in21k-cards-june-07-cropping-filtered-preprocess-change-test
    results: []

vit-base-patch16-224-in21k-cards-june-07-cropping-filtered-preprocess-change-test

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.4854
• eval_accuracy: 0.4582
• eval_runtime: 82.8936
• eval_samples_per_second: 120.637
• eval_steps_per_second: 0.483
• epoch: 12.9981
• step: 1682

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: 640
• eval_batch_size: 256
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 5120
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Framework versions

• Transformers 4.41.2
• Pytorch 2.0.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1