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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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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: car_orientation_classification2 |
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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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# car_orientation_classification2 |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6800 |
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- Accuracy: 0.6926 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 40 |
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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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| 1.9933 | 1.0 | 68 | 1.9084 | 0.4099 | |
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| 1.4721 | 2.0 | 136 | 1.2870 | 0.5124 | |
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| 1.1677 | 3.0 | 204 | 1.0780 | 0.5265 | |
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| 0.9919 | 4.0 | 272 | 0.9454 | 0.5760 | |
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| 0.8392 | 5.0 | 340 | 0.8184 | 0.6926 | |
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| 0.7778 | 6.0 | 408 | 0.8311 | 0.6431 | |
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| 0.7341 | 7.0 | 476 | 0.7425 | 0.6572 | |
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| 0.6695 | 8.0 | 544 | 0.6800 | 0.6926 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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