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metadata
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window8-256
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: swinv2-tiny-patch4-window8-256-dmae-humeda-1
    results: []

swinv2-tiny-patch4-window8-256-dmae-humeda-1

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3549
  • Accuracy: 0.5

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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 2 1.5476 0.3462
No log 2.0 4 1.4060 0.4615
No log 3.0 6 1.4222 0.4423
No log 4.0 8 1.4011 0.4231
1.4158 5.0 10 1.3764 0.4615
1.4158 6.0 12 1.3549 0.5
1.4158 7.0 14 1.3302 0.5
1.4158 8.0 16 1.3073 0.5
1.4158 9.0 18 1.2923 0.5
1.2817 10.0 20 1.2863 0.5

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1