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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

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