metadata
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: >-
swin-tiny-patch4-window7-224-finetuned-AadhaarCard-BinaryImage-Classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9835164835164835
swin-tiny-patch4-window7-224-finetuned-AadhaarCard-BinaryImage-Classification
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0780
- Accuracy: 0.9835
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.021 | 1.0 | 13 | 0.6568 | 0.7912 |
| 0.431 | 2.0 | 26 | 0.2249 | 0.9396 |
| 0.1608 | 3.0 | 39 | 0.1635 | 0.9505 |
| 0.0966 | 4.0 | 52 | 0.1349 | 0.9615 |
| 0.074 | 5.0 | 65 | 0.0971 | 0.9725 |
| 0.0741 | 6.0 | 78 | 0.0846 | 0.9780 |
| 0.0466 | 7.0 | 91 | 0.0780 | 0.9835 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2