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End of training

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  1. README.md +11 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ 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: 0.5411
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  - Accuracy: 0.7773
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  ## Model description
@@ -65,15 +65,16 @@ 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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- | 0.5969 | 0.58 | 150 | 0.5433 | 0.7227 |
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- | 0.5066 | 1.16 | 300 | 0.5094 | 0.7402 |
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- | 0.4708 | 1.74 | 450 | 0.5290 | 0.7227 |
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- | 0.4099 | 2.33 | 600 | 0.4632 | 0.7904 |
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- | 0.4078 | 2.91 | 750 | 0.4827 | 0.7751 |
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- | 0.3681 | 3.49 | 900 | 0.4536 | 0.7969 |
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- | 0.3318 | 4.07 | 1050 | 0.4662 | 0.7838 |
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- | 0.3329 | 4.65 | 1200 | 0.4802 | 0.7948 |
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- | 0.2758 | 5.23 | 1350 | 0.5411 | 0.7773 |
 
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  ### Framework versions
 
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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: 0.5360
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  - Accuracy: 0.7773
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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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+ | 0.5827 | 0.58 | 150 | 0.5508 | 0.7031 |
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+ | 0.5214 | 1.16 | 300 | 0.5115 | 0.7598 |
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+ | 0.4925 | 1.74 | 450 | 0.4870 | 0.7555 |
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+ | 0.4148 | 2.33 | 600 | 0.4447 | 0.7948 |
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+ | 0.4025 | 2.91 | 750 | 0.5507 | 0.7424 |
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+ | 0.3627 | 3.49 | 900 | 0.4578 | 0.7904 |
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+ | 0.3441 | 4.07 | 1050 | 0.4699 | 0.8188 |
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+ | 0.3257 | 4.65 | 1200 | 0.4729 | 0.7817 |
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+ | 0.2488 | 5.23 | 1350 | 0.4971 | 0.7817 |
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+ | 0.3127 | 5.81 | 1500 | 0.5360 | 0.7773 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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