End of training
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README.md
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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_classification_zoomed
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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_classification_zoomed
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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: 0.6108
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- Accuracy: 0.7597
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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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| 1.9887 | 1.0 | 68 | 1.9011 | 0.3463 |
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| 1.4388 | 2.0 | 136 | 1.3001 | 0.4594 |
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| 1.1799 | 3.0 | 204 | 1.1267 | 0.4841 |
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| 1.0245 | 4.0 | 272 | 0.9695 | 0.5936 |
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| 0.8203 | 5.0 | 340 | 0.8157 | 0.6890 |
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| 0.7146 | 6.0 | 408 | 0.7898 | 0.6678 |
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| 0.6137 | 7.0 | 476 | 0.6343 | 0.7420 |
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| 0.5746 | 8.0 | 544 | 0.6351 | 0.7527 |
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| 0.5316 | 9.0 | 612 | 0.5899 | 0.7986 |
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| 0.5073 | 10.0 | 680 | 0.6193 | 0.7491 |
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| 0.4854 | 11.0 | 748 | 0.5721 | 0.7845 |
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| 0.4347 | 12.0 | 816 | 0.6495 | 0.7562 |
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| 0.3937 | 13.0 | 884 | 0.6108 | 0.7597 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Jul25_09-10-46_d9d31443b545/events.out.tfevents.1721898647.d9d31443b545.1858.0
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