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--- |
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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: vit-base-patch16-224-dmae-va-U5-100bc |
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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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# vit-base-patch16-224-dmae-va-U5-100bc |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5346 |
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- Accuracy: 0.85 |
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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: 0.05 |
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- num_epochs: 10 |
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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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| No log | 0.9 | 7 | 0.5017 | 0.8667 | |
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| 0.3168 | 1.94 | 15 | 0.5970 | 0.8 | |
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| 0.2613 | 2.97 | 23 | 0.5442 | 0.8167 | |
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| 0.222 | 4.0 | 31 | 0.7156 | 0.7667 | |
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| 0.222 | 4.9 | 38 | 0.5175 | 0.85 | |
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| 0.1783 | 5.94 | 46 | 0.6035 | 0.8167 | |
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| 0.168 | 6.97 | 54 | 0.5045 | 0.85 | |
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| 0.1456 | 8.0 | 62 | 0.4923 | 0.85 | |
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| 0.1456 | 8.9 | 69 | 0.5346 | 0.85 | |
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| 0.1236 | 9.03 | 70 | 0.5346 | 0.85 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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