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End of training

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Files changed (4) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Apr02_08-37-18_596f95c9597a/events.out.tfevents.1712047039.596f95c9597a.6275.0 +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: 0.5769230769230769
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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: 0.6732
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- - Accuracy: 0.5769
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  ## Model description
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@@ -67,16 +67,16 @@ 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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- | No log | 0.92 | 3 | 0.9430 | 0.5192 |
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- | No log | 1.85 | 6 | 0.8598 | 0.5192 |
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- | No log | 2.77 | 9 | 0.8143 | 0.5385 |
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- | 0.8078 | 4.0 | 13 | 0.7628 | 0.5769 |
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- | 0.8078 | 4.92 | 16 | 0.7219 | 0.5962 |
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- | 0.8078 | 5.85 | 19 | 0.7136 | 0.5769 |
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- | 0.6318 | 6.77 | 22 | 0.6864 | 0.5577 |
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- | 0.6318 | 8.0 | 26 | 0.6818 | 0.6154 |
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- | 0.6318 | 8.92 | 29 | 0.6382 | 0.6346 |
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- | 0.5386 | 9.23 | 30 | 0.6732 | 0.5769 |
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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: 0.6538461538461539
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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: 0.7292
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+ - Accuracy: 0.6538
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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 | 0.92 | 3 | 1.0620 | 0.5385 |
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+ | No log | 1.85 | 6 | 0.9886 | 0.5962 |
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+ | No log | 2.77 | 9 | 0.9286 | 0.7115 |
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+ | 0.9947 | 4.0 | 13 | 0.8659 | 0.6731 |
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+ | 0.9947 | 4.92 | 16 | 0.8310 | 0.6731 |
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+ | 0.9947 | 5.85 | 19 | 0.7778 | 0.6731 |
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+ | 0.7638 | 6.77 | 22 | 0.7388 | 0.7115 |
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+ | 0.7638 | 8.0 | 26 | 0.7570 | 0.6731 |
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+ | 0.7638 | 8.92 | 29 | 0.7214 | 0.6923 |
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+ | 0.6277 | 9.23 | 30 | 0.7292 | 0.6538 |
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  ### Framework versions
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