metadata
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window12-192-22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k
results: []
Psoriasis-Project-Aug-M2-swinv2-base-patch4-window12-192-22k
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0234
- 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 |
|---|---|---|---|---|
| 0.7248 | 0.99 | 36 | 0.2056 | 0.9167 |
| 0.2559 | 1.99 | 72 | 0.1087 | 0.9583 |
| 0.0924 | 2.98 | 108 | 0.0404 | 0.9792 |
| 0.0458 | 4.0 | 145 | 0.0026 | 1.0 |
| 0.0518 | 4.99 | 181 | 0.0262 | 0.9792 |
| 0.0358 | 5.99 | 217 | 0.0204 | 1.0 |
| 0.019 | 6.98 | 253 | 0.0024 | 1.0 |
| 0.0125 | 8.0 | 290 | 0.0057 | 1.0 |
| 0.0023 | 8.99 | 326 | 0.0195 | 0.9792 |
| 0.0049 | 9.93 | 360 | 0.0234 | 0.9792 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2