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swin_largeFunny7
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12-192-22k on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6913
- Accuracy: 0.6767
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6843 | 0.52 | 100 | 0.6700 | 0.6017 |
0.5152 | 1.05 | 200 | 0.6407 | 0.6445 |
0.4861 | 1.57 | 300 | 0.6447 | 0.6638 |
0.372 | 2.09 | 400 | 0.6505 | 0.6617 |
0.3492 | 2.62 | 500 | 0.6759 | 0.6531 |
0.3191 | 3.14 | 600 | 0.6741 | 0.6681 |
0.3115 | 3.66 | 700 | 0.6913 | 0.6767 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3