Karma_3Class_RMSprop_1e4_20Epoch_Beit-large-224_fold1
This model is a fine-tuned version of microsoft/beit-large-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.7576
- Accuracy: 0.8316
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5331 | 1.0 | 2469 | 0.5098 | 0.7932 |
| 0.367 | 2.0 | 4938 | 0.4616 | 0.8076 |
| 0.3223 | 3.0 | 7407 | 0.4300 | 0.8335 |
| 0.2322 | 4.0 | 9876 | 0.4848 | 0.8307 |
| 0.0915 | 5.0 | 12345 | 0.7576 | 0.8316 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
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Model tree for onizukal/Karma_3Class_RMSprop_1e4_20Epoch_Beit-large-224_fold1
Base model
microsoft/beit-large-patch16-224