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# resnet101_rvl-cdip-cnn_rvl_cdip_100_examples_per_class_og_simkd_test

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) 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: 2
- eval_batch_size: 2
- 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   | 400  | 8965.8223       | 0.08     | 1.0296     | 6.6066 | 0.08     | 0.0326   | 0.2344 | 0.9219 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.14.5
- Tokenizers 0.12.1

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