metadata
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: image_classification
results: []
image_classification
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: 0.0002
- Accuracy: 1.0
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 1.0978 | 0.5 |
| No log | 2.0 | 2 | 1.0528 | 0.5833 |
| No log | 3.0 | 3 | 0.9606 | 0.625 |
| No log | 4.0 | 4 | 0.8337 | 0.7083 |
| No log | 5.0 | 5 | 0.6860 | 0.75 |
| No log | 6.0 | 6 | 0.5366 | 0.9167 |
| No log | 7.0 | 7 | 0.3971 | 0.9583 |
| No log | 8.0 | 8 | 0.2704 | 1.0 |
| No log | 9.0 | 9 | 0.1702 | 1.0 |
| 0.1887 | 10.0 | 10 | 0.1046 | 1.0 |
| 0.1887 | 11.0 | 11 | 0.0633 | 1.0 |
| 0.1887 | 12.0 | 12 | 0.0420 | 1.0 |
| 0.1887 | 13.0 | 13 | 0.0324 | 1.0 |
| 0.1887 | 14.0 | 14 | 0.0298 | 1.0 |
| 0.1887 | 15.0 | 15 | 0.0260 | 1.0 |
| 0.1887 | 16.0 | 16 | 0.0229 | 1.0 |
| 0.1887 | 17.0 | 17 | 0.0180 | 1.0 |
| 0.1887 | 18.0 | 18 | 0.0119 | 1.0 |
| 0.1887 | 19.0 | 19 | 0.0072 | 1.0 |
| 0.0083 | 20.0 | 20 | 0.0045 | 1.0 |
| 0.0083 | 21.0 | 21 | 0.0022 | 1.0 |
| 0.0083 | 22.0 | 22 | 0.0012 | 1.0 |
| 0.0083 | 23.0 | 23 | 0.0007 | 1.0 |
| 0.0083 | 24.0 | 24 | 0.0005 | 1.0 |
| 0.0083 | 25.0 | 25 | 0.0004 | 1.0 |
| 0.0083 | 26.0 | 26 | 0.0003 | 1.0 |
| 0.0083 | 27.0 | 27 | 0.0003 | 1.0 |
| 0.0083 | 28.0 | 28 | 0.0002 | 1.0 |
| 0.0083 | 29.0 | 29 | 0.0002 | 1.0 |
| 0.0009 | 30.0 | 30 | 0.0002 | 1.0 |
| 0.0009 | 31.0 | 31 | 0.0002 | 1.0 |
| 0.0009 | 32.0 | 32 | 0.0002 | 1.0 |
| 0.0009 | 33.0 | 33 | 0.0002 | 1.0 |
| 0.0009 | 34.0 | 34 | 0.0002 | 1.0 |
| 0.0009 | 35.0 | 35 | 0.0002 | 1.0 |
| 0.0009 | 36.0 | 36 | 0.0002 | 1.0 |
| 0.0009 | 37.0 | 37 | 0.0002 | 1.0 |
| 0.0009 | 38.0 | 38 | 0.0002 | 1.0 |
| 0.0009 | 39.0 | 39 | 0.0002 | 1.0 |
| 0.0003 | 40.0 | 40 | 0.0002 | 1.0 |
| 0.0003 | 41.0 | 41 | 0.0002 | 1.0 |
| 0.0003 | 42.0 | 42 | 0.0002 | 1.0 |
| 0.0003 | 43.0 | 43 | 0.0002 | 1.0 |
| 0.0003 | 44.0 | 44 | 0.0002 | 1.0 |
| 0.0003 | 45.0 | 45 | 0.0002 | 1.0 |
| 0.0003 | 46.0 | 46 | 0.0002 | 1.0 |
| 0.0003 | 47.0 | 47 | 0.0002 | 1.0 |
| 0.0003 | 48.0 | 48 | 0.0002 | 1.0 |
| 0.0003 | 49.0 | 49 | 0.0002 | 1.0 |
| 0.0002 | 50.0 | 50 | 0.0002 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2