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pkr7098
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only-lora-beans-vit-base-patch16-224-in21k

Image Classification
PEFT
Safetensors
vit
vision
Generated from Trainer
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  1. README.md +14 -16
  2. adapter_model.safetensors +1 -1
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: only-lora-beans-vit-base-patch16-224-in21k
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # only-lora-beans-vit-base-patch16-224-in21k
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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: 1.1110
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- - Accuracy: 0.3308
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  ## Model description
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@@ -40,7 +38,7 @@ 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: 5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 1337
@@ -52,16 +50,16 @@ 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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- | 0.9748 | 1.0 | 130 | 0.7215 | 0.8947 |
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- | 0.6849 | 2.0 | 260 | 0.4107 | 0.9474 |
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- | 0.4838 | 3.0 | 390 | 0.2423 | 0.9474 |
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- | 0.2594 | 4.0 | 520 | 0.1790 | 0.9624 |
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- | 0.2082 | 5.0 | 650 | 0.1915 | 0.9323 |
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- | 0.2159 | 6.0 | 780 | 0.3304 | 0.9098 |
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- | 0.5954 | 7.0 | 910 | 0.6861 | 0.6917 |
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- | 0.8045 | 8.0 | 1040 | 1.0408 | 0.4887 |
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- | 1.0506 | 9.0 | 1170 | 1.1016 | 0.3308 |
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- | 1.1299 | 10.0 | 1300 | 1.0935 | 0.3459 |
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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: only-lora-beans-vit-base-patch16-224-in21k
 
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  # only-lora-beans-vit-base-patch16-224-in21k
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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: 0.7070
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+ - Accuracy: 0.7293
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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: 0.0005
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 1337
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4713 | 1.0 | 130 | 0.0950 | 0.9549 |
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+ | 0.1717 | 2.0 | 260 | 0.0885 | 0.9699 |
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+ | 0.1941 | 3.0 | 390 | 0.0368 | 0.9925 |
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+ | 0.1484 | 4.0 | 520 | 0.1005 | 0.9699 |
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+ | 0.1574 | 5.0 | 650 | 0.0640 | 0.9774 |
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+ | 0.1948 | 6.0 | 780 | 0.1892 | 0.9173 |
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+ | 0.4159 | 7.0 | 910 | 0.1530 | 0.9699 |
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+ | 0.4951 | 8.0 | 1040 | 0.7176 | 0.6842 |
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+ | 0.6818 | 9.0 | 1170 | 1.4557 | 0.4286 |
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+ | 0.7749 | 10.0 | 1300 | 0.7070 | 0.7293 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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