Corn-Plant-1-Epochs-Model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4730
- Accuracy: 0.8434
- F1: 0.8933
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.646 | 1.0 | 94 | 0.4730 | 0.8434 | 0.8933 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Downloads last month
- 4
Model tree for Akshay0706/Corn-Plant-1-Epochs-Model
Base model
google/vit-base-patch16-224-in21kEvaluation results
- Accuracy on image_folderself-reported0.843
- F1 on image_folderself-reported0.893