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swinv2_large_FunnyModels
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: 0.8344
- Accuracy: 0.6232
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 |
|---|---|---|---|---|
| 0.6953 | 0.53 | 100 | 0.7769 | 0.5528 |
| 0.4735 | 1.05 | 200 | 0.6988 | 0.6004 |
| 0.5894 | 1.58 | 300 | 0.7176 | 0.6170 |
| 0.3494 | 2.11 | 400 | 0.7953 | 0.6190 |
| 0.344 | 2.63 | 500 | 0.7864 | 0.6128 |
| 0.2517 | 3.16 | 600 | 0.8206 | 0.6315 |
| 0.2858 | 3.68 | 700 | 0.8344 | 0.6232 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
