swin-tiny-patch4-window7-224-finetuned-og_dataset_10e-finetuned-og_dataset_10e
This model is a fine-tuned version of Gokulapriyan/swin-tiny-patch4-window7-224-finetuned-og_dataset_10e on the imagefolder dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0340
- eval_accuracy: 0.9878
- eval_runtime: 171.5097
- eval_samples_per_second: 72.002
- eval_steps_per_second: 2.251
- epoch: 4.0
- step: 2184
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
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2