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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: vit-base-patch16-224 |
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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 |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2817 |
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- Accuracy: 0.7205 |
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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: 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: 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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| 0.8025 | 0.98 | 27 | 0.6852 | 0.6407 | |
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| 0.5648 | 1.98 | 54 | 0.7587 | 0.6971 | |
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| 0.2165 | 2.98 | 81 | 0.6410 | 0.7387 | |
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| 0.0587 | 3.98 | 108 | 1.9350 | 0.5682 | |
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| 0.041 | 4.98 | 135 | 0.9925 | 0.7348 | |
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| 0.013 | 5.98 | 162 | 1.3159 | 0.6980 | |
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| 0.025 | 6.98 | 189 | 1.4855 | 0.7456 | |
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| 0.0243 | 7.98 | 216 | 1.4230 | 0.7489 | |
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| 0.0016 | 8.98 | 243 | 1.2937 | 0.7117 | |
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| 0.0026 | 9.98 | 270 | 1.2817 | 0.7205 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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