---
license: apache-2.0
base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Psoriasis-Project-Aug-M2-beit-base-patch16-224-pt22k-ft22k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Psoriasis-Project-Aug-M2-beit-base-patch16-224-pt22k-ft22k

This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0042
- Accuracy: 1.0

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1065        | 0.99  | 36   | 0.3867          | 0.9167   |
| 0.2495        | 1.99  | 72   | 0.1087          | 0.9583   |
| 0.1026        | 2.98  | 108  | 0.0239          | 1.0      |
| 0.039         | 4.0   | 145  | 0.0605          | 0.9583   |
| 0.0188        | 4.99  | 181  | 0.1663          | 0.9375   |
| 0.0165        | 5.99  | 217  | 0.0047          | 1.0      |
| 0.0047        | 6.98  | 253  | 0.0028          | 1.0      |
| 0.005         | 8.0   | 290  | 0.0043          | 1.0      |
| 0.0022        | 8.99  | 326  | 0.0061          | 1.0      |
| 0.0015        | 9.93  | 360  | 0.0042          | 1.0      |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2