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condition-Kitchen-swin
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 16.3647
- Rmse: 4.0453
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| No log | 1.0 | 94 | 17.9745 | 4.2396 |
| No log | 2.0 | 188 | 2.1129 | 1.4536 |
| No log | 3.0 | 282 | 1.6826 | 1.2972 |
| No log | 4.0 | 376 | 1.2371 | 1.1122 |
| No log | 5.0 | 470 | 0.8900 | 0.9434 |
| 6.7108 | 6.0 | 564 | 0.8675 | 0.9314 |
| 6.7108 | 7.0 | 658 | 0.8017 | 0.8954 |
| 6.7108 | 8.0 | 752 | 0.7732 | 0.8793 |
| 6.7108 | 9.0 | 846 | 0.7645 | 0.8743 |
| 6.7108 | 10.0 | 940 | 0.7504 | 0.8663 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.0
