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---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co./microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0867
- Accuracy: 0.9769
## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6751 | 1.09 | 100 | 1.1247 | 0.6308 |
| 0.928 | 2.17 | 200 | 0.5505 | 0.8462 |
| 0.4477 | 3.26 | 300 | 0.3167 | 0.9038 |
| 0.5154 | 4.35 | 400 | 0.2101 | 0.9423 |
| 0.4627 | 5.43 | 500 | 0.2289 | 0.9346 |
| 0.3103 | 6.52 | 600 | 0.1501 | 0.9615 |
| 0.3637 | 7.61 | 700 | 0.1319 | 0.9769 |
| 0.1941 | 8.7 | 800 | 0.0861 | 0.9769 |
| 0.1663 | 9.78 | 900 | 0.0867 | 0.9769 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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