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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: beit-sketch-classifier
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results: []
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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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# beit-sketch-classifier
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6083
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- Accuracy: 0.7480
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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| 1.3452 | 1.0 | 3151 | 1.3825 | 0.6702 |
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| 1.052 | 2.0 | 6302 | 1.0776 | 0.7252 |
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| 0.9884 | 3.0 | 9453 | 0.9989 | 0.7443 |
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| 0.8054 | 4.0 | 12604 | 0.9747 | 0.7526 |
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| 0.6271 | 5.0 | 15755 | 0.9770 | 0.7558 |
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| 0.5719 | 6.0 | 18906 | 1.0201 | 0.7528 |
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| 0.3557 | 7.0 | 22057 | 1.0702 | 0.7523 |
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| 0.2637 | 8.0 | 25208 | 1.1324 | 0.7501 |
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| 0.1878 | 9.0 | 28359 | 1.2129 | 0.7434 |
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| 0.1616 | 10.0 | 31510 | 1.2692 | 0.7457 |
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| 0.1148 | 11.0 | 34661 | 1.3425 | 0.7435 |
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| 0.0867 | 12.0 | 37812 | 1.3999 | 0.7430 |
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| 0.065 | 13.0 | 40963 | 1.4472 | 0.7442 |
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| 0.0489 | 14.0 | 44114 | 1.4836 | 0.7457 |
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| 0.0365 | 15.0 | 47265 | 1.5194 | 0.7445 |
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| 0.0386 | 16.0 | 50416 | 1.5506 | 0.7458 |
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| 0.0315 | 17.0 | 53567 | 1.5778 | 0.7461 |
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| 0.0236 | 18.0 | 56718 | 1.5986 | 0.7467 |
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| 0.0264 | 19.0 | 59869 | 1.6085 | 0.7475 |
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| 0.0146 | 20.0 | 63020 | 1.6083 | 0.7480 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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