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metadata
license: apache-2.0
base_model: microsoft/beit-large-patch16-224-pt22k-ft22k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: 0.50-500Train-100Test-beit-large
    results: []

0.50-500Train-100Test-beit-large

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

  • Loss: 0.7076
  • Accuracy: 0.8515

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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2287 0.9973 92 0.6058 0.8157
0.1191 1.9946 184 0.7659 0.8070
0.0311 2.9919 276 0.6945 0.8271
0.0076 4.0 369 0.7174 0.8437
0.0012 4.9864 460 0.7076 0.8515

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1