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metadata
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window8-256
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K
    results: []

swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K

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

  • Loss: 0.0190

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss
No log 0.84 4 0.6834
No log 1.89 9 0.4899
0.6773 2.95 14 0.2752
0.6773 4.0 19 0.1311
0.3528 4.84 23 0.0812
0.3528 5.89 28 0.0477
0.1595 6.95 33 0.0289
0.1595 8.0 38 0.0229
0.1054 8.84 42 0.0213
0.1054 9.89 47 0.0281
0.0822 10.95 52 0.0190
0.0822 12.0 57 0.0240
0.076 12.63 60 0.0237

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2