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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- image-classification |
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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-beans-demo-v5 |
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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-beans-demo-v5 |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co./google/vit-base-patch16-224-in21k). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0816 |
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- Accuracy: 0.9819 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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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- num_epochs: 4 |
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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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| 0.5092 | 0.28 | 100 | 0.6420 | 0.7681 | |
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| 0.5076 | 0.56 | 200 | 0.4069 | 0.8722 | |
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| 0.3291 | 0.83 | 300 | 0.4342 | 0.8569 | |
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| 0.108 | 1.11 | 400 | 0.2410 | 0.9292 | |
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| 0.0378 | 1.39 | 500 | 0.3107 | 0.9139 | |
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| 0.1488 | 1.67 | 600 | 0.1984 | 0.9389 | |
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| 0.0532 | 1.94 | 700 | 0.1714 | 0.9514 | |
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| 0.0122 | 2.22 | 800 | 0.1334 | 0.9611 | |
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| 0.0529 | 2.5 | 900 | 0.1139 | 0.9653 | |
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| 0.0221 | 2.78 | 1000 | 0.0875 | 0.9736 | |
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| 0.0052 | 3.06 | 1100 | 0.0816 | 0.9819 | |
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| 0.0045 | 3.33 | 1200 | 0.0873 | 0.9792 | |
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| 0.0113 | 3.61 | 1300 | 0.0882 | 0.9833 | |
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| 0.0043 | 3.89 | 1400 | 0.0865 | 0.9806 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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