metadata
license: apache-2.0
base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Psoriasis-Project-M-beit-base-patch16-224-pt22k-ft22k
results: []
Psoriasis-Project-M-beit-base-patch16-224-pt22k-ft22k
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1695
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.92 | 6 | 0.3253 | 0.8958 |
| 0.0442 | 2.0 | 13 | 0.2781 | 0.9167 |
| 0.0442 | 2.92 | 19 | 0.2423 | 0.9167 |
| 0.0205 | 4.0 | 26 | 0.2234 | 0.9375 |
| 0.0073 | 4.92 | 32 | 0.1979 | 0.9583 |
| 0.0073 | 6.0 | 39 | 0.1701 | 0.9792 |
| 0.0055 | 6.92 | 45 | 0.1599 | 0.9792 |
| 0.0071 | 8.0 | 52 | 0.1710 | 0.9792 |
| 0.0071 | 8.92 | 58 | 0.1704 | 0.9792 |
| 0.003 | 9.23 | 60 | 0.1695 | 0.9792 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2