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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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- image-classification |
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- generated_from_trainer |
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model-index: |
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- name: ryan_model314_3 |
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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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# ryan_model314_3 |
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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 beans dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2750 |
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- Na Accuracy: 0.931 |
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- Ordinal Accuracy: 0.6271 |
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- Ordinal Mae: 0.5319 |
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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: 0.0002 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Accuracy | Ordinal Mae | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|:----------------:|:-----------:| |
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| 0.4423 | 0.08 | 50 | 0.3386 | 0.904 | 0.4629 | 0.6578 | |
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| 0.3088 | 0.16 | 100 | 0.3269 | 0.928 | 0.5371 | 0.5969 | |
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| 0.316 | 0.24 | 150 | 0.3396 | 0.902 | 0.5143 | 0.6323 | |
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| 0.2821 | 0.32 | 200 | 0.3234 | 0.927 | 0.5131 | 0.6293 | |
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| 0.2731 | 0.4 | 250 | 0.3314 | 0.925 | 0.5086 | 0.5856 | |
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| 0.2975 | 0.48 | 300 | 0.3037 | 0.927 | 0.5964 | 0.5690 | |
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| 0.2609 | 0.56 | 350 | 0.3209 | 0.928 | 0.5450 | 0.5765 | |
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| 0.287 | 0.64 | 400 | 0.2908 | 0.931 | 0.5827 | 0.5458 | |
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| 0.2905 | 0.72 | 450 | 0.3007 | 0.919 | 0.5986 | 0.5484 | |
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| 0.2574 | 0.8 | 500 | 0.2834 | 0.929 | 0.6032 | 0.5363 | |
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| 0.2855 | 0.88 | 550 | 0.2750 | 0.931 | 0.6271 | 0.5319 | |
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### Framework versions |
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- Transformers 4.39.1 |
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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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