test
This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 2.2724
- F1: 0.1240
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.001
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.0 | 1 | 2.2724 | 0.1240 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0
- Datasets 2.0.0
- Tokenizers 0.11.6
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Base model
facebook/deit-tiny-patch16-224