metadata
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window12-192-22k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SWIN_finetuned_frozen_v4
results: []
SWIN_finetuned_frozen_v4
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0700
- Accuracy: 0.7085
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15.0
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 1.3057 | 1.0 | 5249 | 0.5822 | 2.0464 |
| 1.1387 | 2.0 | 10498 | 0.6084 | 1.9457 |
| 0.988 | 3.0 | 15747 | 0.6124 | 1.9650 |
| 0.8653 | 4.0 | 20996 | 0.6344 | 1.9381 |
| 0.7662 | 5.0 | 26245 | 0.6335 | 1.9391 |
| 0.6882 | 6.0 | 31494 | 0.6444 | 1.9591 |
| 0.601 | 7.0 | 36743 | 0.6510 | 1.9506 |
| 0.5363 | 8.0 | 41992 | 0.6617 | 1.9556 |
| 0.4871 | 9.0 | 47241 | 0.6741 | 1.9037 |
| 0.4338 | 10.0 | 52490 | 0.6806 | 1.9794 |
| 0.3738 | 11.0 | 57739 | 0.6849 | 2.0053 |
| 0.3338 | 12.0 | 62988 | 0.6955 | 2.0140 |
| 0.2989 | 13.0 | 68237 | 0.6974 | 2.0830 |
| 0.267 | 14.0 | 73486 | 0.7041 | 2.0824 |
| 0.236 | 15.0 | 78735 | 0.7085 | 2.0700 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3