| | ---
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| | library_name: transformers
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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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| | - vision
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| | - generated_from_trainer
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| | metrics:
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| | - accuracy
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| | model-index:
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| | - name: vit-base-beans
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| | results: []
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| | ---
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # vit-base-beans
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| |
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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: 0.0648
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| | - Accuracy: 0.9925
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 2e-05
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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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| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: linear
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| | - num_epochs: 5.0
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| | |:-------------:|:-----:|:----:|:---------------:|:--------:|
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| | | 0.2847 | 1.0 | 130 | 0.2224 | 0.9624 |
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| | | 0.1328 | 2.0 | 260 | 0.1294 | 0.9699 |
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| | | 0.1384 | 3.0 | 390 | 0.0990 | 0.9774 |
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| | | 0.0844 | 4.0 | 520 | 0.0648 | 0.9925 |
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| | | 0.1204 | 5.0 | 650 | 0.0841 | 0.9699 |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.49.0.dev0
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| | - Pytorch 2.1.2+cu121
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| | - Datasets 3.2.0
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| | - Tokenizers 0.21.0
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| |
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