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deit-base-patch16-224-finetuned-dangerousSpiders

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

  • eval_loss: 0.1957
  • eval_accuracy: 0.915
  • eval_precision: 0.8899
  • eval_recall: 0.9510
  • eval_f1: 0.9194
  • eval_runtime: 5.3671
  • eval_samples_per_second: 37.264
  • eval_steps_per_second: 2.422
  • step: 0

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: 2

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.2.0.dev20230921
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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