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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-IDRiD
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-IDRiD
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: 0.8534
- Accuracy: 0.7143
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 3 | 1.5419 | 0.3810 |
| No log | 2.0 | 6 | 1.3336 | 0.4048 |
| No log | 3.0 | 9 | 1.2311 | 0.5238 |
| 1.4831 | 4.0 | 12 | 1.1594 | 0.5238 |
| 1.4831 | 5.0 | 15 | 1.0889 | 0.5 |
| 1.4831 | 6.0 | 18 | 1.0743 | 0.5 |
| 1.1593 | 7.0 | 21 | 1.0466 | 0.5476 |
| 1.1593 | 8.0 | 24 | 1.0160 | 0.5714 |
| 1.1593 | 9.0 | 27 | 0.9660 | 0.6190 |
| 1.008 | 10.0 | 30 | 0.9390 | 0.6190 |
| 1.008 | 11.0 | 33 | 0.9158 | 0.5952 |
| 1.008 | 12.0 | 36 | 0.8734 | 0.6190 |
| 1.008 | 13.0 | 39 | 0.8715 | 0.6667 |
| 0.8963 | 14.0 | 42 | 0.8261 | 0.6667 |
| 0.8963 | 15.0 | 45 | 0.8683 | 0.6190 |
| 0.8963 | 16.0 | 48 | 0.8772 | 0.6429 |
| 0.8404 | 17.0 | 51 | 0.8729 | 0.6905 |
| 0.8404 | 18.0 | 54 | 0.8571 | 0.7143 |
| 0.8404 | 19.0 | 57 | 0.8546 | 0.7143 |
| 0.8263 | 20.0 | 60 | 0.8534 | 0.7143 |
### Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3
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