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---
license: apache-2.0
base_model: microsoft/swin-large-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.3288080369264187
---
<!-- 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. -->
# Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1
This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1316
- Accuracy: 0.3288
## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.6134 | 1.0 | 924 | 2.5724 | 0.1941 |
| 2.5066 | 2.0 | 1848 | 2.4917 | 0.1947 |
| 2.5572 | 3.0 | 2772 | 2.4417 | 0.1971 |
| 2.3516 | 4.0 | 3696 | 2.4048 | 0.2080 |
| 2.4257 | 5.0 | 4620 | 2.3743 | 0.2332 |
| 2.3129 | 6.0 | 5544 | 2.3404 | 0.2411 |
| 2.2992 | 7.0 | 6468 | 2.3155 | 0.2636 |
| 2.266 | 8.0 | 7392 | 2.2914 | 0.2683 |
| 2.2389 | 9.0 | 8316 | 2.2655 | 0.2778 |
| 2.2861 | 10.0 | 9240 | 2.2421 | 0.2873 |
| 2.2192 | 11.0 | 10164 | 2.2250 | 0.2905 |
| 2.2057 | 12.0 | 11088 | 2.2046 | 0.2984 |
| 2.0519 | 13.0 | 12012 | 2.1880 | 0.3046 |
| 2.1151 | 14.0 | 12936 | 2.1736 | 0.3144 |
| 2.1116 | 15.0 | 13860 | 2.1599 | 0.3204 |
| 2.0726 | 16.0 | 14784 | 2.1517 | 0.3234 |
| 2.1017 | 17.0 | 15708 | 2.1408 | 0.3272 |
| 2.051 | 18.0 | 16632 | 2.1358 | 0.3285 |
| 2.0423 | 19.0 | 17556 | 2.1327 | 0.3296 |
| 2.0517 | 20.0 | 18480 | 2.1316 | 0.3288 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1+cu121
- Datasets 2.21.0
- Tokenizers 0.13.2
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