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gcperk20
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deit-tiny-patch16-224-finetuned-piid

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  1. README.md +27 -27
  2. model.safetensors +1 -1
  3. runs/Nov02_22-04-25_a4709a859fdb/events.out.tfevents.1698962679.a4709a859fdb.1287.5 +2 -2
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: 0.8127853881278538
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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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5154
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- - Accuracy: 0.8128
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  ## Model description
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@@ -67,31 +67,31 @@ 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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- | 1.2298 | 0.98 | 20 | 1.1138 | 0.4703 |
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- | 0.7642 | 2.0 | 41 | 0.9123 | 0.5982 |
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- | 0.6167 | 2.98 | 61 | 0.6736 | 0.6849 |
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- | 0.5628 | 4.0 | 82 | 0.6615 | 0.7032 |
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- | 0.5616 | 4.98 | 102 | 0.5985 | 0.7352 |
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- | 0.4742 | 6.0 | 123 | 0.4981 | 0.7854 |
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- | 0.3434 | 6.98 | 143 | 0.5729 | 0.7489 |
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- | 0.3691 | 8.0 | 164 | 0.5779 | 0.7397 |
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- | 0.3375 | 8.98 | 184 | 0.5417 | 0.7580 |
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- | 0.3192 | 10.0 | 205 | 0.5554 | 0.7534 |
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- | 0.2795 | 10.98 | 225 | 0.5656 | 0.7763 |
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- | 0.242 | 12.0 | 246 | 0.5319 | 0.7991 |
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- | 0.2557 | 12.98 | 266 | 0.5154 | 0.8128 |
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- | 0.2465 | 14.0 | 287 | 0.5763 | 0.7991 |
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- | 0.221 | 14.98 | 307 | 0.5683 | 0.8037 |
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- | 0.2058 | 16.0 | 328 | 0.5852 | 0.8128 |
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- | 0.1809 | 16.98 | 348 | 0.6282 | 0.8082 |
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- | 0.1638 | 18.0 | 369 | 0.6289 | 0.7945 |
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- | 0.155 | 18.98 | 389 | 0.6134 | 0.8037 |
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- | 0.2094 | 19.51 | 400 | 0.6114 | 0.8082 |
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  ### Framework versions
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- - Transformers 4.33.3
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7899543378995434
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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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5695
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+ - Accuracy: 0.7900
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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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+ | 1.2584 | 0.98 | 20 | 1.1962 | 0.4064 |
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+ | 0.7575 | 2.0 | 41 | 0.8537 | 0.6347 |
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+ | 0.6732 | 2.98 | 61 | 0.7349 | 0.6758 |
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+ | 0.5892 | 4.0 | 82 | 0.6902 | 0.7032 |
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+ | 0.5785 | 4.98 | 102 | 0.6303 | 0.7352 |
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+ | 0.4276 | 6.0 | 123 | 0.5948 | 0.7397 |
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+ | 0.3684 | 6.98 | 143 | 0.6197 | 0.7260 |
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+ | 0.3669 | 8.0 | 164 | 0.5451 | 0.7580 |
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+ | 0.3391 | 8.98 | 184 | 0.6707 | 0.7352 |
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+ | 0.3359 | 10.0 | 205 | 0.5079 | 0.8082 |
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+ | 0.3417 | 10.98 | 225 | 0.5678 | 0.7580 |
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+ | 0.2714 | 12.0 | 246 | 0.5774 | 0.7443 |
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+ | 0.3166 | 12.98 | 266 | 0.5747 | 0.7534 |
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+ | 0.2319 | 14.0 | 287 | 0.5598 | 0.7945 |
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+ | 0.227 | 14.98 | 307 | 0.5853 | 0.7397 |
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+ | 0.1801 | 16.0 | 328 | 0.6237 | 0.7580 |
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+ | 0.158 | 16.98 | 348 | 0.5609 | 0.7854 |
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+ | 0.199 | 18.0 | 369 | 0.6128 | 0.7443 |
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+ | 0.1407 | 18.98 | 389 | 0.5727 | 0.7900 |
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+ | 0.1787 | 19.51 | 400 | 0.5695 | 0.7900 |
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  ### Framework versions
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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