rshrott commited on
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Model save

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README.md CHANGED
@@ -2,7 +2,6 @@
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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
@@ -14,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # ryan_model314
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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: 0.2939
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- - Na Accuracy: 0.945
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- - Ordinal Accuracy: 0.5706
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  ## Model description
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@@ -50,8 +49,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:----------------:|
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- | 0.1969 | 1.59 | 100 | 0.2955 | 0.945 | 0.4785 |
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- | 0.0746 | 3.17 | 200 | 0.2939 | 0.945 | 0.5706 |
 
 
 
 
 
 
 
 
 
 
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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_model314
 
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  # ryan_model314
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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: 0.2670
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+ - Na Accuracy: 0.962
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+ - Ordinal Accuracy: 0.6760
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:----------------:|
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+ | 0.3682 | 0.32 | 100 | 0.3209 | 0.942 | 0.5268 |
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+ | 0.2877 | 0.64 | 200 | 0.2783 | 0.944 | 0.5921 |
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+ | 0.3079 | 0.96 | 300 | 0.2544 | 0.958 | 0.5338 |
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+ | 0.1901 | 1.28 | 400 | 0.2632 | 0.948 | 0.6061 |
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+ | 0.277 | 1.6 | 500 | 0.2404 | 0.96 | 0.5921 |
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+ | 0.2081 | 1.92 | 600 | 0.2585 | 0.95 | 0.6270 |
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+ | 0.0809 | 2.24 | 700 | 0.2631 | 0.954 | 0.6737 |
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+ | 0.1 | 2.56 | 800 | 0.2693 | 0.958 | 0.6364 |
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+ | 0.0924 | 2.88 | 900 | 0.2566 | 0.962 | 0.6503 |
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+ | 0.0304 | 3.19 | 1000 | 0.2782 | 0.954 | 0.6527 |
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+ | 0.0256 | 3.51 | 1100 | 0.2662 | 0.96 | 0.6643 |
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+ | 0.0424 | 3.83 | 1200 | 0.2670 | 0.962 | 0.6760 |
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  ### Framework versions
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