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rshrott
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ryan_model314_3

Image Classification
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vit
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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Mar26_23-38-05_ryanserver/events.out.tfevents.1711510691.ryanserver.18298.0 +2 -2
README.md CHANGED
@@ -15,9 +15,9 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3003
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- - Na Accuracy: 0.94
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- - Ordinal Mae: 0.8473
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  ## Model description
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@@ -49,17 +49,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
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- | 0.3861 | 0.13 | 25 | 0.3698 | 0.935 | 1.2958 |
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- | 0.3197 | 0.27 | 50 | 0.3551 | 0.925 | 1.1263 |
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- | 0.33 | 0.4 | 75 | 0.3531 | 0.94 | 0.8691 |
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- | 0.4362 | 0.53 | 100 | 0.4501 | 0.93 | 1.7403 |
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- | 0.2495 | 0.66 | 125 | 0.3154 | 0.935 | 0.8172 |
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- | 0.3961 | 0.8 | 150 | 0.3138 | 0.925 | 0.9720 |
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- | 0.2511 | 0.93 | 175 | 0.3231 | 0.925 | 0.8814 |
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- | 0.1473 | 1.06 | 200 | 0.3242 | 0.93 | 1.2868 |
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- | 0.187 | 1.2 | 225 | 0.2903 | 0.935 | 0.9828 |
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- | 0.2475 | 1.33 | 250 | 0.3491 | 0.92 | 1.3949 |
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- | 0.232 | 1.46 | 275 | 0.3003 | 0.94 | 0.8473 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2783
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+ - Na Accuracy: 0.9389
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+ - Ordinal Mae: 0.8154
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
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+ | 0.3676 | 0.05 | 100 | 0.3423 | 0.9274 | 1.1293 |
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+ | 0.3329 | 0.09 | 200 | 0.3136 | 0.9314 | 1.0706 |
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+ | 0.3134 | 0.14 | 300 | 0.3302 | 0.9166 | 1.1220 |
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+ | 0.314 | 0.19 | 400 | 0.2992 | 0.9256 | 0.8202 |
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+ | 0.2965 | 0.23 | 500 | 0.3198 | 0.9249 | 1.2210 |
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+ | 0.3068 | 0.28 | 600 | 0.2673 | 0.9372 | 1.1036 |
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+ | 0.2824 | 0.32 | 700 | 0.2922 | 0.9372 | 1.4977 |
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+ | 0.2914 | 0.37 | 800 | 0.2798 | 0.9384 | 0.7789 |
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+ | 0.2968 | 0.42 | 900 | 0.2710 | 0.9369 | 0.9694 |
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+ | 0.2433 | 0.46 | 1000 | 0.2652 | 0.9372 | 1.0212 |
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+ | 0.2438 | 0.51 | 1100 | 0.2783 | 0.9389 | 0.8154 |
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  ### Framework versions
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runs/Mar26_23-38-05_ryanserver/events.out.tfevents.1711510691.ryanserver.18298.0 CHANGED
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