vit-base-beans-2
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: 1.1599
- Accuracy: 0.125
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: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.125 | 1.1599 |
| No log | 2.0 | 2 | 0.0 | 1.1626 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0
- Datasets 2.15.1.dev0
- Tokenizers 0.19.1
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Model tree for amyeroberts/vit-base-beans-2
Base model
google/vit-base-patch16-224-in21k