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rshrott
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ryan_model3272024

Image Classification
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vit
Generated from Trainer
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  1. README.md +20 -18
  2. model.safetensors +1 -1
  3. runs/Mar27_22-47-32_ryanserver/events.out.tfevents.1711594058.ryanserver.28085.0 +2 -2
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_model3272024
@@ -14,12 +13,12 @@ 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 beans dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3037
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- - Na Accuracy: 0.7297
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- - Ordinal Accuracy: 0.5285
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- - Ordinal Mae: 0.6723
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  ## Model description
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@@ -49,19 +48,22 @@ The following hyperparameters were used during training:
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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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- | 0.4062 | 0.13 | 25 | 0.3799 | 0.6216 | 0.2395 | 0.9244 |
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- | 0.3536 | 0.27 | 50 | 0.3700 | 0.6757 | 0.3840 | 0.9067 |
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- | 0.4295 | 0.4 | 75 | 0.3405 | 0.7838 | 0.2966 | 0.8798 |
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- | 0.4114 | 0.53 | 100 | 0.3906 | 0.7297 | 0.3536 | 0.8806 |
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- | 0.3521 | 0.66 | 125 | 0.3530 | 0.8108 | 0.4259 | 0.8442 |
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- | 0.3349 | 0.8 | 150 | 0.3412 | 0.7297 | 0.4753 | 0.8016 |
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- | 0.4612 | 0.93 | 175 | 0.3639 | 0.5405 | 0.4677 | 0.7604 |
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- | 0.2424 | 1.06 | 200 | 0.3297 | 0.7027 | 0.4867 | 0.7117 |
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- | 0.2928 | 1.2 | 225 | 0.3494 | 0.6757 | 0.5285 | 0.6955 |
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- | 0.2436 | 1.33 | 250 | 0.3037 | 0.7297 | 0.5285 | 0.6723 |
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- | 0.2776 | 1.46 | 275 | 0.3366 | 0.5946 | 0.5171 | 0.6727 |
 
 
 
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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: 0.2760
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+ - Ordinal Mae: 0.6107
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+ - Ordinal Accuracy: 0.5426
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+ - Na Accuracy: 0.7124
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Ordinal Mae | Ordinal Accuracy | Na Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:----------------:|:-----------:|
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+ | 0.3524 | 0.05 | 100 | 0.3400 | 0.8905 | 0.3875 | 0.7587 |
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+ | 0.2683 | 0.09 | 200 | 0.3671 | 0.7306 | 0.4892 | 0.6236 |
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+ | 0.3314 | 0.14 | 300 | 0.3450 | 0.8077 | 0.4013 | 0.6969 |
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+ | 0.2747 | 0.19 | 400 | 0.2813 | 0.6106 | 0.5423 | 0.7896 |
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+ | 0.3247 | 0.23 | 500 | 0.3144 | 0.7256 | 0.4525 | 0.7104 |
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+ | 0.3612 | 0.28 | 600 | 0.3075 | 0.6416 | 0.4984 | 0.7587 |
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+ | 0.3031 | 0.32 | 700 | 0.2785 | 0.5720 | 0.5556 | 0.7896 |
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+ | 0.2866 | 0.37 | 800 | 0.2878 | 0.5348 | 0.5776 | 0.7336 |
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+ | 0.2927 | 0.42 | 900 | 0.2689 | 0.5855 | 0.5574 | 0.7973 |
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+ | 0.3003 | 0.46 | 1000 | 0.2636 | 0.5544 | 0.5810 | 0.7915 |
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+ | 0.2522 | 0.51 | 1100 | 0.3009 | 0.5651 | 0.5444 | 0.8571 |
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+ | 0.262 | 0.56 | 1200 | 0.2790 | 0.5203 | 0.5802 | 0.8301 |
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+ | 0.2139 | 0.6 | 1300 | 0.2653 | 0.5626 | 0.5493 | 0.7510 |
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+ | 0.2655 | 0.65 | 1400 | 0.2760 | 0.6107 | 0.5426 | 0.7124 |
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  ### Framework versions
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