vit-base-patch16-224-in21k-cards-june-08-cropping-filtered-preprocess-change-test-2

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vit-base-patch16-224-in21k-cards-june-08-cropping-filtered-preprocess-change-test-2

This model is a fine-tuned version of ansilmbabl/vit-base-patch16-224-in21k-cards-june-07-cropping-filtered-preprocess-change-test on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5958
• Accuracy: 0.5147

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: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.0.1+cu117
• Datasets 2.19.2
• Tokenizers 0.19.1