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dhritic99
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vit-base-brain-alzheimer-detection

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vit
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  1. README.md +19 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3405
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- - Accuracy: 0.9484
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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- | 0.4213 | 1.9531 | 500 | 0.3758 | 0.8955 |
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- | 0.0224 | 3.9062 | 1000 | 0.2260 | 0.9502 |
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- | 0.0012 | 5.8594 | 1500 | 0.2127 | 0.9570 |
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- | 0.0007 | 7.8125 | 2000 | 0.2014 | 0.9678 |
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- | 0.0005 | 9.7656 | 2500 | 0.2015 | 0.9697 |
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- | 0.0004 | 11.7188 | 3000 | 0.2090 | 0.9688 |
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- | 0.0004 | 13.6719 | 3500 | 0.2156 | 0.9688 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2047
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+ - Accuracy: 0.9590
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 0.9772 | 0.7812 | 200 | 0.9400 | 0.5801 |
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+ | 0.7451 | 1.5625 | 400 | 0.7947 | 0.6553 |
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+ | 0.5701 | 2.3438 | 600 | 0.7642 | 0.7236 |
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+ | 0.3704 | 3.125 | 800 | 0.5532 | 0.7744 |
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+ | 0.2906 | 3.9062 | 1000 | 0.4423 | 0.8555 |
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+ | 0.1636 | 4.6875 | 1200 | 0.3226 | 0.9004 |
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+ | 0.0837 | 5.4688 | 1400 | 0.3483 | 0.9023 |
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+ | 0.0368 | 6.25 | 1600 | 0.2423 | 0.9395 |
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+ | 0.063 | 7.0312 | 1800 | 0.3091 | 0.9277 |
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+ | 0.047 | 7.8125 | 2000 | 0.3907 | 0.9023 |
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+ | 0.0127 | 8.5938 | 2200 | 0.2002 | 0.9561 |
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+ | 0.0102 | 9.375 | 2400 | 0.3001 | 0.9307 |
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+ | 0.0086 | 10.1562 | 2600 | 0.1998 | 0.9512 |
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+ | 0.0073 | 10.9375 | 2800 | 0.1932 | 0.9590 |
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+ | 0.0064 | 11.7188 | 3000 | 0.1988 | 0.9561 |
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+ | 0.0056 | 12.5 | 3200 | 0.1993 | 0.9580 |
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+ | 0.0049 | 13.2812 | 3400 | 0.2047 | 0.9590 |
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  ### Framework versions
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