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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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model-index: |
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- name: ryan_model3272024 |
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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_model3272024 |
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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: 0.3657 |
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- Na Accuracy: 0.625 |
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- Ordinal Accuracy: 0.4762 |
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- Ordinal Mae: 0.8694 |
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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: 4 |
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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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| 0.412 | 0.78 | 25 | 0.3861 | 0.875 | 0.2143 | 1.0826 | |
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| 0.2394 | 1.56 | 50 | 0.4621 | 0.5 | 0.1905 | 1.0658 | |
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| 0.2287 | 2.34 | 75 | 0.5636 | 0.25 | 0.2857 | 0.9874 | |
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| 0.1518 | 3.12 | 100 | 0.3832 | 0.625 | 0.3810 | 0.9202 | |
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| 0.1448 | 3.91 | 125 | 0.3657 | 0.625 | 0.4762 | 0.8694 | |
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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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