Psoriasis-M-vit-large-patch16-224-in21k
This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1464
- Accuracy: 0.9792
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
---|---|---|---|---|
No log | 0.92 | 6 | 1.1103 | 0.6667 |
1.4249 | 2.0 | 13 | 0.5429 | 0.875 |
1.4249 | 2.92 | 19 | 0.3529 | 0.9167 |
0.3823 | 4.0 | 26 | 0.2861 | 0.9375 |
0.1072 | 4.62 | 30 | 0.2801 | 0.9375 |
No log | 0.92 | 6 | 0.2647 | 0.9167 |
0.0527 | 2.0 | 13 | 0.1843 | 0.9792 |
0.0527 | 2.92 | 19 | 0.1604 | 0.9792 |
0.0138 | 4.0 | 26 | 0.1480 | 0.9792 |
0.0074 | 4.62 | 30 | 0.1464 | 0.9792 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/vit-large-patch16-224-in21k