Boya1_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold5
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: 1.2266
- Accuracy: 0.8378
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 |
|---|---|---|---|---|
| 0.5165 | 1.0 | 924 | 0.5083 | 0.7933 |
| 0.3886 | 2.0 | 1848 | 0.4181 | 0.8378 |
| 0.1118 | 3.0 | 2772 | 0.6643 | 0.8367 |
| 0.0211 | 4.0 | 3696 | 0.9770 | 0.8402 |
| 0.0006 | 5.0 | 4620 | 1.2266 | 0.8378 |
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/Boya1_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold5
Base model
microsoft/beit-large-patch16-224