vit-base-patch16-224_rice-leaf-disease-augmented_test_020225
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- epoch: 10.0
- eval_accuracy: 0.8805
- eval_loss: 0.3377
- eval_runtime: 81.6003
- eval_samples_per_second: 24.51
- eval_steps_per_second: 0.392
- step: 2500
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Inference Providers
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Model tree for SodaXII/vit-base-patch16-224_rice-leaf-disease-augmented_test_020225
Base model
google/vit-base-patch16-224