Model_folder
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0171
- Matthews Correlation: 0.9888
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Matthews Correlation |
| 0.0488 |
0.91 |
30 |
0.1366 |
0.9449 |
| 0.0077 |
1.82 |
60 |
0.0508 |
0.9775 |
| 0.0057 |
2.73 |
90 |
0.0366 |
0.9888 |
| 0.0042 |
3.64 |
120 |
0.0171 |
0.9888 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
