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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 |
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tags: |
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- image-classification |
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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: dvm-cars-vit-first-5k |
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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: TalonMeyer/dvm-cars-dataset-first-5k |
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type: imagefolder |
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config: default |
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split: validation |
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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: 0.4431137724550898 |
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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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# dvm-cars-vit-first-5k |
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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 TalonMeyer/dvm-cars-dataset-first-5k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3711 |
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- Accuracy: 0.4431 |
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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: 0.0003 |
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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: 5 |
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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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| 3.1701 | 1.0 | 251 | 2.9441 | 0.2994 | |
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| 2.5577 | 2.0 | 502 | 2.6693 | 0.3333 | |
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| 2.3469 | 3.0 | 753 | 2.5099 | 0.3593 | |
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| 2.1792 | 4.0 | 1004 | 2.4285 | 0.4032 | |
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| 2.0967 | 5.0 | 1255 | 2.4063 | 0.4152 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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