bus-deit / README.md
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metadata
license: apache-2.0
base_model: facebook/deit-small-patch16-224
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bus-deit
    results: []

bus-deit

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

  • Loss: 0.4103
  • Accuracy: 0.8154

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.84 4 0.5423 0.6769
No log 1.89 9 0.4281 0.8308
0.5835 2.53 12 0.4103 0.8154

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2