rshrott commited on
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1 Parent(s): bdcf952

Training in progress, step 100

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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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  model-index:
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  - name: ryan_model314_3
@@ -14,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # ryan_model314_3
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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: 0.2547
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- - Na Accuracy: 0.95
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- - Ordinal Mae: 1.2090
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  ## Model description
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@@ -37,7 +36,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
@@ -50,18 +49,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
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- | 0.4505 | 0.2 | 25 | 0.4262 | 0.9 | 1.0092 |
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- | 0.3847 | 0.4 | 50 | 0.3676 | 0.935 | 1.3719 |
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- | 0.3061 | 0.6 | 75 | 0.3262 | 0.945 | 0.7486 |
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- | 0.2744 | 0.8 | 100 | 0.3524 | 0.905 | 1.1408 |
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- | 0.2384 | 1.0 | 125 | 0.3611 | 0.93 | 0.6747 |
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- | 0.2021 | 1.2 | 150 | 0.3105 | 0.95 | 1.0441 |
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- | 0.2234 | 1.4 | 175 | 0.2738 | 0.955 | 1.4168 |
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- | 0.187 | 1.6 | 200 | 0.2688 | 0.955 | 1.3653 |
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- | 0.2008 | 1.8 | 225 | 0.2669 | 0.96 | 0.8936 |
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- | 0.1541 | 2.0 | 250 | 0.2547 | 0.95 | 1.2090 |
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- | 0.1201 | 2.2 | 275 | 0.2725 | 0.95 | 0.7955 |
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- | 0.113 | 2.4 | 300 | 0.2818 | 0.955 | 1.2378 |
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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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  model-index:
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  - name: ryan_model314_3
 
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  # ryan_model314_3
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3003
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+ - Na Accuracy: 0.94
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+ - Ordinal Mae: 0.8473
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-----------:|
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+ | 0.3861 | 0.13 | 25 | 0.3698 | 0.935 | 1.2958 |
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+ | 0.3197 | 0.27 | 50 | 0.3551 | 0.925 | 1.1263 |
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+ | 0.33 | 0.4 | 75 | 0.3531 | 0.94 | 0.8691 |
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+ | 0.4362 | 0.53 | 100 | 0.4501 | 0.93 | 1.7403 |
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+ | 0.2495 | 0.66 | 125 | 0.3154 | 0.935 | 0.8172 |
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+ | 0.3961 | 0.8 | 150 | 0.3138 | 0.925 | 0.9720 |
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+ | 0.2511 | 0.93 | 175 | 0.3231 | 0.925 | 0.8814 |
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+ | 0.1473 | 1.06 | 200 | 0.3242 | 0.93 | 1.2868 |
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+ | 0.187 | 1.2 | 225 | 0.2903 | 0.935 | 0.9828 |
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+ | 0.2475 | 1.33 | 250 | 0.3491 | 0.92 | 1.3949 |
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+ | 0.232 | 1.46 | 275 | 0.3003 | 0.94 | 0.8473 |
 
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  ### Framework versions
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