Boya3_3Class_Adamax_1e4_20Epoch_Beit-large-224_fold4
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: 1.0857
- Accuracy: 0.8349
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 |
|---|---|---|---|---|
| 0.3968 | 1.0 | 632 | 0.5064 | 0.7988 |
| 0.2217 | 2.0 | 1264 | 0.4437 | 0.8210 |
| 0.1633 | 3.0 | 1896 | 0.5150 | 0.8309 |
| 0.0261 | 4.0 | 2528 | 0.9455 | 0.8352 |
| 0.0033 | 5.0 | 3160 | 1.0857 | 0.8349 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
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Base model
microsoft/beit-large-patch16-224