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metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: 0.50-800Train-100Test-beit-base
    results: []

0.50-800Train-100Test-beit-base

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7501
  • Accuracy: 0.8192

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: 16
  • 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

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7627 0.9536 18 0.6991 0.7860
0.3414 1.9603 37 0.5881 0.8070
0.1402 2.9669 56 0.5879 0.8114
0.0663 3.9735 75 0.6249 0.8175
0.0377 4.9801 94 0.6539 0.8210
0.0314 5.9868 113 0.7074 0.8175
0.0189 6.9934 132 0.7596 0.8210
0.0147 8.0 151 0.7211 0.8253
0.0157 8.9536 169 0.7412 0.8166
0.0095 9.5364 180 0.7501 0.8192

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1