metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-uploads-classifier
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: 0.9669421487603306
swin-tiny-patch4-window7-224-uploads-classifier
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: 0.0740
- Accuracy: 0.9669
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.57 | 0.99 | 17 | 1.0733 | 0.7355 |
| 0.5726 | 1.97 | 34 | 0.4882 | 0.8347 |
| 0.213 | 2.96 | 51 | 0.1166 | 0.9628 |
| 0.1528 | 4.0 | 69 | 0.1640 | 0.9339 |
| 0.1243 | 4.99 | 86 | 0.1529 | 0.9380 |
| 0.0985 | 5.97 | 103 | 0.1888 | 0.9215 |
| 0.0838 | 6.96 | 120 | 0.1224 | 0.9421 |
| 0.0667 | 8.0 | 138 | 0.1046 | 0.9421 |
| 0.0455 | 8.99 | 155 | 0.0740 | 0.9669 |
| 0.0469 | 9.97 | 172 | 0.0781 | 0.9669 |
| 0.0472 | 10.96 | 189 | 0.1143 | 0.9628 |
| 0.0378 | 12.0 | 207 | 0.1974 | 0.9545 |
| 0.0386 | 12.99 | 224 | 0.1051 | 0.9587 |
| 0.035 | 13.97 | 241 | 0.0719 | 0.9545 |
| 0.0339 | 14.96 | 258 | 0.1225 | 0.9504 |
| 0.0292 | 16.0 | 276 | 0.0962 | 0.9587 |
| 0.0278 | 16.99 | 293 | 0.1322 | 0.9463 |
| 0.0233 | 17.97 | 310 | 0.1064 | 0.9545 |
| 0.028 | 18.96 | 327 | 0.1207 | 0.9504 |
| 0.0269 | 19.71 | 340 | 0.1161 | 0.9504 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3