metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Crop_Disease_model
results: []
Crop_Disease_model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4412
- Accuracy: 0.6533
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9809 | 0.9787 | 23 | 2.9338 | 0.144 |
| 2.7916 | 2.0 | 47 | 2.6349 | 0.4693 |
| 2.3529 | 2.9787 | 70 | 2.3237 | 0.4973 |
| 2.0897 | 4.0 | 94 | 2.0598 | 0.532 |
| 1.8713 | 4.9787 | 117 | 1.8989 | 0.5453 |
| 1.6276 | 6.0 | 141 | 1.7701 | 0.584 |
| 1.5641 | 6.9787 | 164 | 1.6756 | 0.612 |
| 1.4144 | 8.0 | 188 | 1.6190 | 0.62 |
| 1.3294 | 8.9787 | 211 | 1.5457 | 0.6373 |
| 1.2586 | 10.0 | 235 | 1.4913 | 0.644 |
| 1.2052 | 10.9787 | 258 | 1.4816 | 0.6227 |
| 1.1644 | 12.0 | 282 | 1.4547 | 0.6387 |
| 1.1158 | 12.9787 | 305 | 1.4392 | 0.6453 |
| 1.0931 | 14.0 | 329 | 1.4277 | 0.6507 |
| 1.0969 | 14.6809 | 345 | 1.4412 | 0.6533 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1