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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- beans |
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metrics: |
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- accuracy |
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model-index: |
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- name: plant_disease_detection-beans |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: beans |
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type: beans |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9849624060150376 |
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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 |
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should probably proofread and complete it, then remove this comment. --> |
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# plant_disease_detection-beans |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the beans dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0711 |
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- Accuracy: 0.9850 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.0983 | 0.98 | 16 | 0.8079 | 0.7143 | |
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| 0.5524 | 1.97 | 32 | 0.2697 | 0.9624 | |
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| 0.2699 | 2.95 | 48 | 0.0926 | 0.9549 | |
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| 0.0991 | 4.0 | 65 | 0.0551 | 0.9774 | |
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| 0.0722 | 4.98 | 81 | 0.0435 | 0.9925 | |
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| 0.0584 | 5.97 | 97 | 0.0328 | 0.9850 | |
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| 0.0451 | 6.95 | 113 | 0.0478 | 0.9774 | |
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| 0.0321 | 8.0 | 130 | 0.0532 | 0.9925 | |
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| 0.0298 | 8.98 | 146 | 0.0802 | 0.9774 | |
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| 0.0516 | 9.97 | 162 | 0.0391 | 0.9774 | |
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| 0.0396 | 10.95 | 178 | 0.0720 | 0.9774 | |
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| 0.0358 | 12.0 | 195 | 0.0540 | 0.9850 | |
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| 0.027 | 12.98 | 211 | 0.0467 | 0.9774 | |
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| 0.0236 | 13.97 | 227 | 0.0184 | 0.9925 | |
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| 0.0272 | 14.95 | 243 | 0.0255 | 0.9925 | |
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| 0.0182 | 16.0 | 260 | 0.0354 | 0.9850 | |
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| 0.0504 | 16.98 | 276 | 0.0039 | 1.0 | |
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| 0.0283 | 17.97 | 292 | 0.0199 | 1.0 | |
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| 0.0241 | 18.95 | 308 | 0.0250 | 0.9925 | |
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| 0.0268 | 19.69 | 320 | 0.0711 | 0.9850 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.0 |
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