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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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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-classifier |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7313780260707635 |
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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-classifier |
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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 the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5720 |
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- Accuracy: 0.7314 |
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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-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 0.2 |
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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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| 0.646 | 1.0 | 537 | 0.6400 | 0.6420 | |
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| 0.5941 | 2.0 | 1074 | 0.5874 | 0.6974 | |
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| 0.5259 | 3.0 | 1611 | 0.5849 | 0.7142 | |
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| 0.5459 | 4.0 | 2148 | 0.5645 | 0.7197 | |
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| 0.5086 | 5.0 | 2685 | 0.5554 | 0.7230 | |
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| 0.5397 | 6.0 | 3222 | 0.5540 | 0.7295 | |
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| 0.5646 | 7.0 | 3759 | 0.5491 | 0.7272 | |
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| 0.4564 | 8.0 | 4296 | 0.5771 | 0.7235 | |
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| 0.4951 | 9.0 | 4833 | 0.5518 | 0.7267 | |
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| 0.5074 | 10.0 | 5370 | 0.5556 | 0.7300 | |
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| 0.5512 | 11.0 | 5907 | 0.5739 | 0.7165 | |
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| 0.5003 | 12.0 | 6444 | 0.5648 | 0.7235 | |
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| 0.4442 | 13.0 | 6981 | 0.5581 | 0.7230 | |
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| 0.4787 | 14.0 | 7518 | 0.5556 | 0.7402 | |
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| 0.4944 | 15.0 | 8055 | 0.5589 | 0.7342 | |
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| 0.4678 | 16.0 | 8592 | 0.5567 | 0.7379 | |
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| 0.5569 | 17.0 | 9129 | 0.5601 | 0.7314 | |
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| 0.4164 | 18.0 | 9666 | 0.5619 | 0.7365 | |
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| 0.4406 | 19.0 | 10203 | 0.5711 | 0.7309 | |
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| 0.453 | 20.0 | 10740 | 0.5720 | 0.7314 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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