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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-pt-metaset-2
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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-pt-metaset-2
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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: 0.6703
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- Accuracy: 0.8282
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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: 5
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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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| 0.8028 | 1.0 | 76608 | 0.7586 | 0.8007 |
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| 0.7168 | 2.0 | 153216 | 0.6983 | 0.8154 |
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| 0.6357 | 3.0 | 229824 | 0.6676 | 0.8240 |
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| 0.5707 | 4.0 | 306432 | 0.6606 | 0.8276 |
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| 0.4254 | 5.0 | 383040 | 0.6703 | 0.8282 |
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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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