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Image Classification
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End of training

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Files changed (5) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Sep06_10-13-17_266f445f089e/events.out.tfevents.1725617625.266f445f089e.2514.0 +3 -0
  4. runs/Sep06_10-13-17_266f445f089e/events.out.tfevents.1725618297.266f445f089e.2514.1 +3 -0
  5. training_args.bin +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: 1.0
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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 [nateraw/vit-age-classifier](https://huggingface.co/nateraw/vit-age-classifier) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0642
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- - Accuracy: 1.0
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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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- | No log | 1.0 | 100 | 1.5108 | 0.575 |
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- | No log | 2.0 | 200 | 0.6529 | 0.8125 |
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- | No log | 3.0 | 300 | 0.2589 | 1.0 |
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- | No log | 4.0 | 400 | 0.1071 | 1.0 |
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- | 0.8743 | 5.0 | 500 | 0.0642 | 1.0 |
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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: 0.9875
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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 [nateraw/vit-age-classifier](https://huggingface.co/nateraw/vit-age-classifier) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0824
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+ - Accuracy: 0.9875
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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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+ | No log | 1.0 | 100 | 1.5403 | 0.5375 |
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+ | No log | 2.0 | 200 | 0.7882 | 0.725 |
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+ | No log | 3.0 | 300 | 0.2481 | 0.9875 |
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+ | No log | 4.0 | 400 | 0.1088 | 0.9875 |
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+ | 0.8658 | 5.0 | 500 | 0.0824 | 0.9875 |
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  ### Framework versions
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