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---
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license: apache-2.0
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base_model: facebook/deit-tiny-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: Boya1_SGD_1-e3_20Epoch_Deit-tiny-patch16_fold1
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.3950583763236492
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Boya1_SGD_1-e3_20Epoch_Deit-tiny-patch16_fold1
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This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8160
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- Accuracy: 0.3951
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 2.4438 | 1.0 | 924 | 2.4927 | 0.1898 |
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| 2.3969 | 2.0 | 1848 | 2.3384 | 0.2389 |
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| 2.2609 | 3.0 | 2772 | 2.2168 | 0.2878 |
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| 2.0421 | 4.0 | 3696 | 2.1285 | 0.3068 |
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| 2.0227 | 5.0 | 4620 | 2.0634 | 0.3296 |
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| 1.99 | 6.0 | 5544 | 2.0084 | 0.3397 |
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| 1.9954 | 7.0 | 6468 | 1.9664 | 0.3549 |
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| 2.0727 | 8.0 | 7392 | 1.9354 | 0.3652 |
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| 2.0158 | 9.0 | 8316 | 1.9072 | 0.3704 |
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| 1.8488 | 10.0 | 9240 | 1.8880 | 0.3750 |
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| 1.8985 | 11.0 | 10164 | 1.8721 | 0.3790 |
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| 1.7309 | 12.0 | 11088 | 1.8576 | 0.3812 |
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| 1.8129 | 13.0 | 12012 | 1.8465 | 0.3899 |
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| 1.7599 | 14.0 | 12936 | 1.8384 | 0.3866 |
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| 1.7902 | 15.0 | 13860 | 1.8309 | 0.3894 |
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| 1.7502 | 16.0 | 14784 | 1.8250 | 0.3932 |
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| 1.7034 | 17.0 | 15708 | 1.8221 | 0.3934 |
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| 1.8587 | 18.0 | 16632 | 1.8187 | 0.3940 |
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| 1.8137 | 19.0 | 17556 | 1.8165 | 0.3942 |
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| 1.9039 | 20.0 | 18480 | 1.8160 | 0.3951 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.1.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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