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Asseh
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Ball_Classification

Image Classification
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vit
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End of training

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Files changed (4) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Apr02_14-27-45_927c1838dc85/events.out.tfevents.1712068066.927c1838dc85.807.0 +3 -0
  4. 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: 0.7452574525745257
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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: 2.1112
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- - Accuracy: 0.7453
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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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- | 2.5564 | 1.0 | 23 | 2.4470 | 0.5230 |
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- | 2.2791 | 2.0 | 46 | 2.2026 | 0.6856 |
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- | 2.0992 | 3.0 | 69 | 2.1112 | 0.7453 |
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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: 0.6883468834688347
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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: 2.1200
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+ - Accuracy: 0.6883
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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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+ | 2.5769 | 1.0 | 23 | 2.4359 | 0.6125 |
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+ | 2.2995 | 2.0 | 46 | 2.2034 | 0.6748 |
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+ | 2.1265 | 3.0 | 69 | 2.1200 | 0.6883 |
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  ### Framework versions
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