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# dinov2-large-MEG6-5

This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2923
- Accuracy: 0.9246

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.4129        | 1.0000 | 5156  | 0.4507          | 0.8653   |
| 0.3004        | 1.9999 | 10312 | 0.3710          | 0.8911   |
| 0.1511        | 2.9999 | 15468 | 0.3254          | 0.9078   |
| 0.1183        | 4.0    | 20625 | 0.3185          | 0.9161   |
| 0.0976        | 4.9998 | 25780 | 0.2923          | 0.9246   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3

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