---
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dinov2-base-MEG4-6
  results: []
pipeline_tag: image-classification
library_name: transformers
---

<!-- 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. -->

# dinov2-base-MEG4-6

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: 1.4166
- Accuracy: 0.8107

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.1517        | 1.0000 | 11596 | 1.0708          | 0.7685   |
| 0.1411        | 2.0000 | 23192 | 0.9791          | 0.7985   |
| 0.0951        | 2.9999 | 34788 | 1.2306          | 0.8006   |
| 0.0602        | 4.0    | 46385 | 1.1623          | 0.7970   |
| 0.0314        | 5.0000 | 57981 | 1.4054          | 0.8065   |
| 0.0233        | 5.9999 | 69576 | 1.4166          | 0.8107   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1