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Model save

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  1. README.md +10 -12
README.md CHANGED
@@ -5,8 +5,6 @@ license: apache-2.0
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  metrics:
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  - accuracy
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  tags:
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- - image-classification
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- - vision
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  - generated_from_trainer
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  model-index:
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  - name: vit-base-beans
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-beans
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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 beans dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5642
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- - Accuracy: 0.8797
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  ## Model description
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@@ -50,13 +48,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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- |:-------------:|:-----:|:----:|:--------:|:---------------:|
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- | 0.9653 | 1.0 | 130 | 0.7519 | 0.9567 |
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- | 0.7802 | 2.0 | 260 | 0.8496 | 0.7600 |
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- | 0.6269 | 3.0 | 390 | 0.8797 | 0.6368 |
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- | 0.5764 | 4.0 | 520 | 0.8872 | 0.5801 |
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- | 0.5977 | 5.0 | 650 | 0.8797 | 0.5642 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: vit-base-beans
 
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  # vit-base-beans
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0667
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+ - Accuracy: 0.5188
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 9 | 1.0751 | 0.4737 |
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+ | 1.0798 | 2.0 | 18 | 1.0715 | 0.4812 |
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+ | 1.0728 | 3.0 | 27 | 1.0689 | 0.4962 |
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+ | 1.0719 | 4.0 | 36 | 1.0673 | 0.5188 |
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+ | 1.062 | 5.0 | 45 | 1.0667 | 0.5188 |
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  ### Framework versions