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End of training
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README.md
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---
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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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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Crop_Disease_model
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results: []
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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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# Crop_Disease_model
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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: 1.4412
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- Accuracy: 0.6533
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 0.1
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- num_epochs: 15
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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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| 2.9809 | 0.9787 | 23 | 2.9338 | 0.144 |
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| 2.7916 | 2.0 | 47 | 2.6349 | 0.4693 |
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| 2.3529 | 2.9787 | 70 | 2.3237 | 0.4973 |
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| 2.0897 | 4.0 | 94 | 2.0598 | 0.532 |
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| 1.8713 | 4.9787 | 117 | 1.8989 | 0.5453 |
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| 1.6276 | 6.0 | 141 | 1.7701 | 0.584 |
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| 1.5641 | 6.9787 | 164 | 1.6756 | 0.612 |
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| 1.4144 | 8.0 | 188 | 1.6190 | 0.62 |
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| 1.3294 | 8.9787 | 211 | 1.5457 | 0.6373 |
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| 1.2586 | 10.0 | 235 | 1.4913 | 0.644 |
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| 1.2052 | 10.9787 | 258 | 1.4816 | 0.6227 |
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| 1.1644 | 12.0 | 282 | 1.4547 | 0.6387 |
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| 1.1158 | 12.9787 | 305 | 1.4392 | 0.6453 |
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| 1.0931 | 14.0 | 329 | 1.4277 | 0.6507 |
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| 1.0969 | 14.6809 | 345 | 1.4412 | 0.6533 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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