swin-finetuned-food101
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 27286250970434916419272480644923392.0000
- Accuracy: 0.0
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 27286256417371087430271282830114816.0000 | 1.0 | 47 | 27286250970434916419272480644923392.0000 | 0.0 |
| 27286256417371087430271282830114816.0000 | 2.0 | 94 | 27286250970434916419272480644923392.0000 | 0.0 |
| 27286256417371087430271282830114816.0000 | 3.0 | 141 | 27286250970434916419272480644923392.0000 | 0.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.1+cu116
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for kijeong22/swin-finetuned-food101
Base model
microsoft/swin-tiny-patch4-window7-224