---
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dinov2-base-finetuned-lora-EA-rank8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dinov2-base-finetuned-lora-EA-rank8

This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4365
- Accuracy: 0.8233

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.7805 | 2    | 0.5030          | 0.8142   |
| No log        | 1.9512 | 5    | 0.4567          | 0.8215   |
| No log        | 2.7317 | 7    | 0.4511          | 0.8215   |
| 0.4811        | 3.9024 | 10   | 0.4438          | 0.8179   |
| 0.4811        | 4.6829 | 12   | 0.4392          | 0.8215   |
| 0.4811        | 5.8537 | 15   | 0.4379          | 0.8452   |
| 0.4811        | 6.6341 | 17   | 0.4365          | 0.8233   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1