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--- |
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library_name: transformers |
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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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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: flowers-vit-base-patch16-224-in21k |
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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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# flowers-vit-base-patch16-224-in21k |
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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) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2048 |
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- Model Preparation Time: 0.0068 |
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- Accuracy: 0.9673 |
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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: 2e-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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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:| |
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| No log | 1.0 | 92 | 0.6178 | 0.0068 | 0.9700 | |
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| No log | 2.0 | 184 | 0.3102 | 0.0068 | 0.9646 | |
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| No log | 3.0 | 276 | 0.2315 | 0.0068 | 0.9700 | |
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| No log | 4.0 | 368 | 0.2097 | 0.0068 | 0.9673 | |
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| No log | 5.0 | 460 | 0.2048 | 0.0068 | 0.9673 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Tokenizers 0.21.0 |
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