metadata
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224-in22k
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K
results: []
swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|---|---|---|---|
| 0.0593 | 0.99 | 55 | 0.0294 |
| 0.0098 | 1.99 | 111 | 0.0315 |
| 0.0066 | 3.0 | 167 | 0.0322 |
| 0.0179 | 4.0 | 223 | 0.0068 |
| 0.0078 | 4.99 | 278 | 0.0033 |
| 0.0015 | 5.99 | 334 | 0.0008 |
| 0.0017 | 7.0 | 390 | 0.0078 |
| 0.0008 | 8.0 | 446 | 0.0027 |
| 0.0019 | 8.99 | 501 | 0.0011 |
| 0.0014 | 9.87 | 550 | 0.0036 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2