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# dinov2-base-finetuned-dermnet

This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the image_folder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7513
- Accuracy: 0.7827

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1078        | 0.99  | 137  | 1.9232          | 0.4213   |
| 1.7287        | 2.0   | 275  | 1.4859          | 0.5665   |
| 1.475         | 3.0   | 413  | 1.3171          | 0.5946   |
| 1.1488        | 4.0   | 551  | 1.1150          | 0.6651   |
| 1.0082        | 4.99  | 688  | 1.0263          | 0.6892   |
| 0.7533        | 6.0   | 826  | 0.9673          | 0.7065   |
| 0.6741        | 7.0   | 964  | 0.9219          | 0.7270   |
| 0.568         | 8.0   | 1102 | 0.8607          | 0.7510   |
| 0.4327        | 8.99  | 1239 | 0.8237          | 0.7643   |
| 0.3464        | 10.0  | 1377 | 0.8143          | 0.7648   |
| 0.2521        | 11.0  | 1515 | 0.7786          | 0.7704   |
| 0.253         | 11.93 | 1644 | 0.7513          | 0.7827   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["image_folder"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-base", "model-index": [{"name": "dinov2-base-finetuned-dermnet", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "image_folder", "type": "image_folder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.782719836400818, "name": "Accuracy"}]}]}]}
transformers pytorch dinov2 image-classification generated_from_trainer dataset:image_folder base_model:facebook/dinov2-base license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us