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vit-base-patch16-224-ve-U10-12

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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.7843137254901961
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6623
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- - Accuracy: 0.7843
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  ## Model description
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@@ -67,18 +67,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.3659 | 0.97 | 15 | 1.2287 | 0.4706 |
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- | 1.1063 | 2.0 | 31 | 1.0234 | 0.6863 |
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- | 0.9468 | 2.97 | 46 | 0.8665 | 0.6863 |
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- | 0.6825 | 4.0 | 62 | 0.7482 | 0.7059 |
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- | 0.5534 | 4.97 | 77 | 0.7609 | 0.7059 |
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- | 0.4019 | 6.0 | 93 | 0.7092 | 0.7255 |
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- | 0.3323 | 6.97 | 108 | 0.6623 | 0.7843 |
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- | 0.2743 | 8.0 | 124 | 0.7407 | 0.7059 |
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- | 0.2411 | 8.97 | 139 | 0.6249 | 0.7647 |
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- | 0.2021 | 10.0 | 155 | 0.7222 | 0.7451 |
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- | 0.1925 | 10.97 | 170 | 0.7808 | 0.7059 |
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- | 0.1748 | 11.61 | 180 | 0.7451 | 0.7255 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7450980392156863
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6647
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+ - Accuracy: 0.7451
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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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+ | 1.3629 | 0.95 | 15 | 1.2289 | 0.4706 |
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+ | 1.1038 | 1.97 | 31 | 1.0413 | 0.5882 |
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+ | 0.9375 | 2.98 | 47 | 0.8989 | 0.5882 |
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+ | 0.6917 | 4.0 | 63 | 0.8520 | 0.7059 |
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+ | 0.5862 | 4.95 | 78 | 0.6827 | 0.7255 |
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+ | 0.4042 | 5.97 | 94 | 0.7281 | 0.7255 |
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+ | 0.2987 | 6.98 | 110 | 0.7262 | 0.7647 |
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+ | 0.2571 | 8.0 | 126 | 0.7604 | 0.7255 |
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+ | 0.2326 | 8.95 | 141 | 0.6632 | 0.7843 |
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+ | 0.1994 | 9.97 | 157 | 0.6744 | 0.7451 |
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+ | 0.1968 | 10.98 | 173 | 0.6864 | 0.7451 |
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+ | 0.1847 | 11.43 | 180 | 0.6647 | 0.7451 |
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  ### Framework versions
model.safetensors CHANGED
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