rshrott commited on
Commit
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Model save

Browse files
README.md CHANGED
@@ -2,7 +2,6 @@
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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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- - image-classification
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  - generated_from_trainer
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  datasets:
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  - renovation
@@ -15,7 +14,7 @@ model-index:
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  name: Image Classification
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  type: image-classification
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  dataset:
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- name: beans
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  type: renovation
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  config: default
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  split: validation
@@ -23,7 +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: 0.634703196347032
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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
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-beans-demo-v5
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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: 0.9295
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- - Accuracy: 0.6347
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  ## Model description
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@@ -66,10 +65,29 @@ 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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- | 0.6438 | 0.81 | 100 | 0.9295 | 0.6347 |
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- | 0.3105 | 1.61 | 200 | 0.9350 | 0.6575 |
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- | 0.0634 | 2.42 | 300 | 1.0782 | 0.6895 |
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- | 0.0257 | 3.23 | 400 | 1.0644 | 0.6986 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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:
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  - renovation
 
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  name: Image Classification
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  type: image-classification
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  dataset:
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+ name: renovation
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  type: renovation
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  config: default
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  split: validation
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.6950596252129472
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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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  # vit-base-beans-demo-v5
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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 renovation dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2470
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+ - Accuracy: 0.6951
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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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+ | 1.0616 | 0.17 | 100 | 1.0267 | 0.5818 |
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+ | 0.9594 | 0.34 | 200 | 0.9468 | 0.6073 |
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+ | 1.1785 | 0.51 | 300 | 0.9976 | 0.5869 |
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+ | 0.865 | 0.68 | 400 | 0.9288 | 0.6388 |
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+ | 0.8494 | 0.85 | 500 | 0.8573 | 0.6516 |
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+ | 0.8151 | 1.02 | 600 | 0.8729 | 0.6397 |
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+ | 0.5787 | 1.19 | 700 | 0.9067 | 0.6448 |
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+ | 0.7768 | 1.36 | 800 | 0.8996 | 0.6533 |
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+ | 0.6098 | 1.53 | 900 | 0.8460 | 0.6695 |
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+ | 0.6251 | 1.7 | 1000 | 0.8610 | 0.6704 |
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+ | 0.7863 | 1.87 | 1100 | 0.8668 | 0.6431 |
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+ | 0.2595 | 2.04 | 1200 | 0.8725 | 0.6840 |
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+ | 0.2735 | 2.21 | 1300 | 0.9307 | 0.6746 |
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+ | 0.2429 | 2.39 | 1400 | 1.0958 | 0.6354 |
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+ | 0.3224 | 2.56 | 1500 | 1.0305 | 0.6687 |
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+ | 0.1602 | 2.73 | 1600 | 1.0072 | 0.6746 |
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+ | 0.2042 | 2.9 | 1700 | 1.0971 | 0.6789 |
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+ | 0.0604 | 3.07 | 1800 | 1.0817 | 0.6917 |
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+ | 0.0716 | 3.24 | 1900 | 1.1307 | 0.6925 |
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+ | 0.0822 | 3.41 | 2000 | 1.1827 | 0.6925 |
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+ | 0.0889 | 3.58 | 2100 | 1.2424 | 0.6934 |
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+ | 0.0855 | 3.75 | 2200 | 1.2667 | 0.6899 |
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+ | 0.0682 | 3.92 | 2300 | 1.2470 | 0.6951 |
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  ### Framework versions
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