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# stool-condition-classification

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the stool-image dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4076
- Auroc: 0.9357
- Accuracy: 0.9417
- Sensitivity: 0.8864
- Specificty: 0.9831
- F1: 0.9286

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Auroc  | Accuracy | Sensitivity | Specificty | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:-----------:|:----------:|:------:|
| 0.4127        | 0.98  | 100  | 0.4406          | 0.8789 | 0.8100   | 0.7472      | 0.8657     | 0.7870 |
| 0.3473        | 1.96  | 200  | 0.4249          | 0.8774 | 0.8074   | 0.7247      | 0.8806     | 0.7795 |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "datasets": ["generator"], "metrics": ["accuracy", "f1"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "stool-condition-classification", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "stool-image", "type": "generator", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.941747572815534, "name": "Accuracy"}, {"type": "f1", "value": 0.9285714285714285, "name": "F1"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:generator base_model:google/vit-base-patch16-224-in21k license:apache-2.0 model-index autotrain_compatible endpoints_compatible has_space region:us