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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: 0.3383
- F1: 0.9799

## 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   | 0.7369          | 0.9461 |
| No log        | 2.0   | 20   | 0.6143          | 0.9526 |
| No log        | 3.0   | 30   | 0.5401          | 0.9594 |
| No log        | 4.0   | 40   | 0.4809          | 0.9662 |
| No log        | 5.0   | 50   | 0.4219          | 0.9595 |
| No log        | 6.0   | 60   | 0.3864          | 0.9730 |
| No log        | 7.0   | 70   | 0.3628          | 0.9730 |
| No log        | 8.0   | 80   | 0.3496          | 0.9732 |
| No log        | 9.0   | 90   | 0.3419          | 0.9799 |
| No log        | 10.0  | 100  | 0.3383          | 0.9799 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

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