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gcperk20
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deit-base-patch16-224-finetuned-piid

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov02_23-03-32_a4709a859fdb/events.out.tfevents.1698966221.a4709a859fdb.1287.18 +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: 0.776255707762557
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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-base-patch16-224](https://huggingface.co/facebook/deit-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: 0.6370
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- - Accuracy: 0.7763
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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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- | 0.1097 | 0.98 | 20 | 0.7891 | 0.7352 |
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- | 0.1546 | 2.0 | 41 | 0.6625 | 0.7991 |
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- | 0.0808 | 2.98 | 61 | 0.6878 | 0.7945 |
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- | 0.0698 | 4.0 | 82 | 0.6370 | 0.7854 |
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- | 0.0861 | 4.88 | 100 | 0.6370 | 0.7763 |
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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: 0.7442922374429224
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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-base-patch16-224](https://huggingface.co/facebook/deit-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: 0.6109
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+ - Accuracy: 0.7443
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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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+ | 0.881 | 0.98 | 20 | 0.8373 | 0.6164 |
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+ | 0.5554 | 2.0 | 41 | 0.7144 | 0.7169 |
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+ | 0.509 | 2.98 | 61 | 0.6241 | 0.7489 |
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+ | 0.3925 | 4.0 | 82 | 0.6171 | 0.7352 |
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+ | 0.3738 | 4.88 | 100 | 0.6109 | 0.7443 |
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  ### Framework versions
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