platzi-beans-beit-model-eduardo-ag
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.3782
- Accuracy: 0.8496
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: 8
- 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 | Accuracy |
|---|---|---|---|---|
| 0.6894 | 3.85 | 500 | 0.3782 | 0.8496 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1