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metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-base-patch16-224-MSC-dmae
    results: []
datasets:
  - Augusto777/dmae-dataset-DA

vit-base-patch16-224-MSC-dmae

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

  • Loss: 0.6300
  • Accuracy: 0.95

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.67 1 1.2258 0.5
No log 2.0 3 1.0536 0.7
No log 2.67 4 0.9143 0.75
No log 4.0 6 0.6899 0.9
No log 4.67 7 0.6300 0.95
No log 6.0 9 0.5069 0.9
0.8554 6.67 10 0.4671 0.9
0.8554 8.0 12 0.4312 0.9

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3