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# dinov2-base-MEG5-5

This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6964
- Accuracy: 0.8704

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.1774        | 1.0000 | 12653 | 0.6342          | 0.8221   |
| 0.1053        | 2.0    | 25307 | 0.5782          | 0.8484   |
| 0.0592        | 3.0000 | 37960 | 0.5909          | 0.8606   |
| 0.0452        | 4.0    | 50614 | 0.6203          | 0.8698   |
| 0.0121        | 4.9998 | 63265 | 0.6964          | 0.8704   |


### Framework versions

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

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