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vit-base-patch16-224-in21k
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7692
- F1: 0.9865
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 10 | 1.5877 | 0.6675 |
| No log | 2.0 | 20 | 1.4149 | 0.8402 |
| No log | 3.0 | 30 | 1.2687 | 0.8917 |
| No log | 4.0 | 40 | 1.1382 | 0.9113 |
| No log | 5.0 | 50 | 1.0214 | 0.9523 |
| No log | 6.0 | 60 | 0.9285 | 0.9662 |
| No log | 7.0 | 70 | 0.8601 | 0.9728 |
| No log | 8.0 | 80 | 0.8089 | 0.9797 |
| No log | 9.0 | 90 | 0.7796 | 0.9865 |
| No log | 10.0 | 100 | 0.7692 | 0.9865 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
