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gcperk20
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deit-small-patch16-224-finetuned-piid

Image Classification
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  1. README.md +27 -27
  2. model.safetensors +1 -1
  3. runs/Nov02_22-08-42_a4709a859fdb/events.out.tfevents.1698962930.a4709a859fdb.1287.7 +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: 0.7808219178082192
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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-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5296
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- - Accuracy: 0.7808
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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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- | 1.1537 | 0.98 | 20 | 1.0005 | 0.5479 |
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- | 0.7025 | 2.0 | 41 | 0.8481 | 0.5936 |
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- | 0.6581 | 2.98 | 61 | 0.6351 | 0.7215 |
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- | 0.5019 | 4.0 | 82 | 0.6696 | 0.7215 |
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- | 0.4708 | 4.98 | 102 | 0.5861 | 0.7534 |
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- | 0.3647 | 6.0 | 123 | 0.5584 | 0.7763 |
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- | 0.2973 | 6.98 | 143 | 0.5784 | 0.7671 |
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- | 0.2827 | 8.0 | 164 | 0.5851 | 0.7671 |
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- | 0.237 | 8.98 | 184 | 0.6791 | 0.7626 |
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- | 0.2505 | 10.0 | 205 | 0.5550 | 0.7626 |
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- | 0.2018 | 10.98 | 225 | 0.5446 | 0.7626 |
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- | 0.1841 | 12.0 | 246 | 0.5497 | 0.7443 |
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- | 0.1692 | 12.98 | 266 | 0.5917 | 0.7717 |
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- | 0.1624 | 14.0 | 287 | 0.5254 | 0.7763 |
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- | 0.1518 | 14.98 | 307 | 0.5296 | 0.7808 |
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- | 0.1275 | 16.0 | 328 | 0.5858 | 0.7626 |
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- | 0.1107 | 16.98 | 348 | 0.5919 | 0.7763 |
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- | 0.1192 | 18.0 | 369 | 0.6027 | 0.7717 |
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- | 0.0842 | 18.98 | 389 | 0.6435 | 0.7717 |
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- | 0.1472 | 19.51 | 400 | 0.6202 | 0.7671 |
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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: 0.7671232876712328
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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-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6409
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+ - Accuracy: 0.7671
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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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+ | 1.2316 | 0.98 | 20 | 1.0505 | 0.5251 |
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+ | 0.7423 | 2.0 | 41 | 0.7781 | 0.6347 |
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+ | 0.6286 | 2.98 | 61 | 0.7165 | 0.6712 |
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+ | 0.5196 | 4.0 | 82 | 0.6297 | 0.7260 |
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+ | 0.4871 | 4.98 | 102 | 0.6319 | 0.7352 |
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+ | 0.3666 | 6.0 | 123 | 0.5845 | 0.7443 |
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+ | 0.2804 | 6.98 | 143 | 0.6830 | 0.7260 |
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+ | 0.2812 | 8.0 | 164 | 0.5775 | 0.7580 |
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+ | 0.2244 | 8.98 | 184 | 0.6285 | 0.7397 |
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+ | 0.233 | 10.0 | 205 | 0.5887 | 0.7671 |
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+ | 0.2368 | 10.98 | 225 | 0.6399 | 0.7671 |
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+ | 0.1849 | 12.0 | 246 | 0.6024 | 0.7626 |
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+ | 0.1877 | 12.98 | 266 | 0.5884 | 0.7763 |
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+ | 0.1686 | 14.0 | 287 | 0.6725 | 0.7900 |
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+ | 0.1769 | 14.98 | 307 | 0.5996 | 0.7671 |
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+ | 0.1267 | 16.0 | 328 | 0.6102 | 0.7626 |
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+ | 0.0933 | 16.98 | 348 | 0.6367 | 0.7854 |
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+ | 0.1247 | 18.0 | 369 | 0.6364 | 0.7626 |
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+ | 0.0837 | 18.98 | 389 | 0.6379 | 0.7671 |
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+ | 0.1476 | 19.51 | 400 | 0.6409 | 0.7671 |
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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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