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vit-base-clothing-leafs-example-full-simple

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update model card README.md

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  ---
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  license: apache-2.0
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  tags:
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- - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-clothing-leafs-example-full-simple
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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: 1.0167
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- - Accuracy: 0.7044
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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: 0.0001
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 1.5425 | 0.14 | 1000 | 1.2917 | 0.6362 |
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- | 1.2 | 0.28 | 2000 | 1.1728 | 0.6634 |
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- | 1.1415 | 0.41 | 3000 | 1.1331 | 0.6729 |
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- | 1.1054 | 0.55 | 4000 | 1.0928 | 0.6815 |
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- | 1.0592 | 0.69 | 5000 | 1.0824 | 0.6865 |
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- | 1.0516 | 0.83 | 6000 | 1.0709 | 0.6868 |
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- | 1.0335 | 0.97 | 7000 | 1.0542 | 0.6915 |
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- | 0.9049 | 1.11 | 8000 | 1.0505 | 0.6961 |
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- | 0.855 | 1.24 | 9000 | 1.0374 | 0.7003 |
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- | 0.8416 | 1.38 | 10000 | 1.0451 | 0.6988 |
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- | 0.8389 | 1.52 | 11000 | 1.0445 | 0.7002 |
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- | 0.8565 | 1.66 | 12000 | 1.0185 | 0.7032 |
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- | 0.8621 | 1.8 | 13000 | 1.0167 | 0.7044 |
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- | 0.8402 | 1.94 | 14000 | 1.0216 | 0.7033 |
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- | 0.7132 | 2.07 | 15000 | 1.0478 | 0.7062 |
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- | 0.5989 | 2.21 | 16000 | 1.0767 | 0.7045 |
 
 
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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  tags:
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  # vit-base-clothing-leafs-example-full-simple
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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: 1.0460
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+ - Accuracy: 0.7121
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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: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.7133 | 0.14 | 1000 | 1.2984 | 0.6511 |
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+ | 1.2132 | 0.28 | 2000 | 1.1463 | 0.6833 |
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+ | 1.1346 | 0.41 | 3000 | 1.0890 | 0.6904 |
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+ | 1.0888 | 0.55 | 4000 | 1.0718 | 0.6949 |
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+ | 1.0576 | 0.69 | 5000 | 1.0323 | 0.7008 |
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+ | 1.031 | 0.83 | 6000 | 1.0213 | 0.7022 |
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+ | 1.0086 | 0.97 | 7000 | 1.0171 | 0.7007 |
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+ | 0.8678 | 1.11 | 8000 | 0.9996 | 0.7091 |
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+ | 0.8331 | 1.24 | 9000 | 1.0053 | 0.7084 |
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+ | 0.837 | 1.38 | 10000 | 0.9894 | 0.7132 |
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+ | 0.8405 | 1.52 | 11000 | 0.9912 | 0.7135 |
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+ | 0.8273 | 1.66 | 12000 | 0.9919 | 0.7160 |
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+ | 0.8371 | 1.8 | 13000 | 0.9793 | 0.7164 |
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+ | 0.8225 | 1.94 | 14000 | 0.9806 | 0.7162 |
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+ | 0.7055 | 2.07 | 15000 | 1.0150 | 0.7170 |
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+ | 0.6012 | 2.21 | 16000 | 1.0372 | 0.7124 |
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+ | 0.6035 | 2.35 | 17000 | 1.0362 | 0.7124 |
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+ | 0.596 | 2.49 | 18000 | 1.0460 | 0.7121 |
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  ### Framework versions