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juniorjukeko/img_class_beans

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  1. README.md +15 -15
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: google/vit-base-patch16-224-in21k
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -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: 0.9498069498069498
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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
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # img_class_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: 0.1818
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- - Accuracy: 0.9498
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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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- | 1.0147 | 0.98 | 12 | 0.8254 | 0.8494 |
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- | 0.7452 | 1.96 | 24 | 0.4785 | 0.9266 |
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- | 0.452 | 2.94 | 36 | 0.3032 | 0.9344 |
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- | 0.2861 | 4.0 | 49 | 0.2146 | 0.9459 |
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- | 0.155 | 4.98 | 61 | 0.1719 | 0.9575 |
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- | 0.1318 | 5.96 | 73 | 0.1655 | 0.9730 |
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- | 0.1311 | 6.94 | 85 | 0.1550 | 0.9691 |
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- | 0.1163 | 8.0 | 98 | 0.1710 | 0.9459 |
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- | 0.1006 | 8.98 | 110 | 0.1752 | 0.9459 |
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- | 0.1045 | 9.8 | 120 | 0.1472 | 0.9614 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: juniorjukeko/img_class_beans
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.972972972972973
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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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  # img_class_beans
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+ This model is a fine-tuned version of [juniorjukeko/img_class_beans](https://huggingface.co/juniorjukeko/img_class_beans) on the beans dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1220
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+ - Accuracy: 0.9730
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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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+ | 0.1122 | 0.98 | 12 | 0.1660 | 0.9575 |
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+ | 0.1356 | 1.96 | 24 | 0.1977 | 0.9421 |
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+ | 0.0889 | 2.94 | 36 | 0.1504 | 0.9421 |
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+ | 0.0793 | 4.0 | 49 | 0.1477 | 0.9575 |
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+ | 0.0578 | 4.98 | 61 | 0.1320 | 0.9653 |
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+ | 0.0514 | 5.96 | 73 | 0.1163 | 0.9730 |
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+ | 0.0592 | 6.94 | 85 | 0.1363 | 0.9653 |
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+ | 0.0532 | 8.0 | 98 | 0.1837 | 0.9382 |
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+ | 0.0555 | 8.98 | 110 | 0.1400 | 0.9614 |
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+ | 0.0723 | 9.8 | 120 | 0.1220 | 0.9730 |
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  ### Framework versions
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