Model save
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README.md
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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_model3272024
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Na Accuracy: 0.
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- Ordinal Accuracy: 0.
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- Ordinal Mae:
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## Model description
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### Training results
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### Framework versions
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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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# 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: 1.2907
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- Na Accuracy: 0.938
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- Ordinal Accuracy: 0.604
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- Ordinal Mae: 45.8334
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## Model description
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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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| 1.3578 | 0.32 | 100 | 1.2058 | 0.944 | 0.54 | 90.9846 |
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| 1.089 | 0.64 | 200 | 1.0987 | 0.95 | 0.548 | 120.7097 |
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| 0.924 | 0.96 | 300 | 1.0838 | 0.946 | 0.568 | 76.7982 |
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| 0.694 | 1.28 | 400 | 1.0680 | 0.942 | 0.556 | 105.6312 |
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| 0.7739 | 1.6 | 500 | 1.0327 | 0.956 | 0.568 | 56.3484 |
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| 0.5935 | 1.92 | 600 | 1.0479 | 0.932 | 0.598 | 50.4520 |
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| 0.3525 | 2.24 | 700 | 1.1915 | 0.94 | 0.578 | 68.5099 |
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| 0.2385 | 2.56 | 800 | 1.1303 | 0.948 | 0.586 | 43.0221 |
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| 0.3423 | 2.88 | 900 | 1.1767 | 0.94 | 0.604 | 72.1437 |
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| 0.0674 | 3.19 | 1000 | 1.2294 | 0.938 | 0.606 | 28.0702 |
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| 0.1206 | 3.51 | 1100 | 1.2336 | 0.938 | 0.616 | 65.0794 |
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| 0.1261 | 3.83 | 1200 | 1.2907 | 0.938 | 0.604 | 45.8334 |
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### Framework versions
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model.safetensors
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runs/Mar27_15-52-23_ryanserver/events.out.tfevents.1711569149.ryanserver.25227.0
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