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ongkn
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attraction-classifier

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Eval Results
Model card Files Community
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End of training

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  1. README.md +17 -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: 0.7994505494505495
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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-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4695
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- - Accuracy: 0.7995
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  ## Model description
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@@ -65,18 +65,20 @@ 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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- | 0.5767 | 0.49 | 100 | 0.5727 | 0.7005 |
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- | 0.5407 | 0.98 | 200 | 0.5475 | 0.6978 |
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- | 0.5053 | 1.46 | 300 | 0.4964 | 0.7418 |
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- | 0.5236 | 1.95 | 400 | 0.5242 | 0.7390 |
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- | 0.4295 | 2.44 | 500 | 0.4876 | 0.7720 |
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- | 0.4637 | 2.93 | 600 | 0.4717 | 0.7857 |
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- | 0.4476 | 3.41 | 700 | 0.5175 | 0.7582 |
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- | 0.4404 | 3.9 | 800 | 0.4640 | 0.7692 |
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- | 0.352 | 4.39 | 900 | 0.4621 | 0.8022 |
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- | 0.3012 | 4.88 | 1000 | 0.5401 | 0.7445 |
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- | 0.3059 | 5.37 | 1100 | 0.5015 | 0.7885 |
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- | 0.268 | 5.85 | 1200 | 0.4695 | 0.7995 |
 
 
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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: 0.7939560439560439
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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-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4941
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+ - Accuracy: 0.7940
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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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+ | 0.5815 | 0.49 | 100 | 0.5738 | 0.7005 |
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+ | 0.528 | 0.98 | 200 | 0.5228 | 0.7335 |
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+ | 0.5096 | 1.46 | 300 | 0.5215 | 0.7418 |
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+ | 0.5381 | 1.95 | 400 | 0.5050 | 0.7720 |
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+ | 0.4269 | 2.44 | 500 | 0.4880 | 0.7665 |
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+ | 0.4428 | 2.93 | 600 | 0.4789 | 0.7720 |
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+ | 0.4307 | 3.41 | 700 | 0.5406 | 0.7363 |
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+ | 0.4185 | 3.9 | 800 | 0.5124 | 0.7473 |
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+ | 0.3094 | 4.39 | 900 | 0.4787 | 0.8022 |
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+ | 0.3041 | 4.88 | 1000 | 0.5230 | 0.7527 |
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+ | 0.2979 | 5.37 | 1100 | 0.4568 | 0.8242 |
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+ | 0.2193 | 5.85 | 1200 | 0.5367 | 0.7857 |
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+ | 0.2113 | 6.34 | 1300 | 0.5418 | 0.7967 |
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+ | 0.1916 | 6.83 | 1400 | 0.4941 | 0.7940 |
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  ### Framework versions
model.safetensors CHANGED
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