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# vit-base_rvl_tobacco-tiny_tobacco3482_hint_b0.0_dit-tiny_test

This model is a fine-tuned version of [microsoft/dit-base](https://huggingface.co/microsoft/dit-base) on the None dataset.

## 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: 0.0001
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll    | F1 Micro | F1 Macro | Ece    | Aurc   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
| No log        | 1.0   | 200  | 64.8970         | 0.17     | 0.8761     | 7.1182 | 0.17     | 0.0466   | 0.2430 | 0.7785 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.2.0.dev20231002
- Datasets 2.7.1
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "base_model": "microsoft/dit-base", "model-index": [{"name": "vit-base_rvl_tobacco-tiny_tobacco3482_hint_b0.0_dit-tiny_test", "results": []}]}
transformers pytorch beit image-classification generated_from_trainer base_model:microsoft/dit-base autotrain_compatible endpoints_compatible region:us