metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-vit-finetuned-melanoma
results: []
swin-tiny-patch4-window7-224-vit-finetuned-melanoma
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4676
- Accuracy: 0.8368
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 0.5347 | 1.0 | 10 | 0.6032 | 0.7845 |
| 0.4686 | 2.0 | 20 | 0.5631 | 0.7908 |
| 0.388 | 3.0 | 30 | 0.5040 | 0.8067 |
| 0.3164 | 4.0 | 40 | 0.4808 | 0.8162 |
| 0.29 | 5.0 | 50 | 0.4786 | 0.8185 |
| 0.2268 | 6.0 | 60 | 0.4634 | 0.8320 |
| 0.2065 | 7.0 | 70 | 0.4707 | 0.8360 |
| 0.1681 | 8.0 | 80 | 0.4635 | 0.8296 |
| 0.1425 | 9.0 | 90 | 0.4795 | 0.8376 |
| 0.1452 | 10.0 | 100 | 0.4676 | 0.8368 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3