transformers tensorboard safetensors dinov2 image-classification generated_from_trainer base_model:facebook/dinov2-small-imagenet1k-1-layer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/dinov2-small-imagenet1k-1-layer
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sample_foot
  results: []
---

<!-- 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. -->

# sample_foot

This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-small-imagenet1k-1-layer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0754
- Accuracy: 0.4545

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.6026        | 1.0   | 21   | 4.9823          | 0.4545   |
| 3.7497        | 2.0   | 42   | 3.6049          | 0.4545   |
| 3.1278        | 3.0   | 63   | 3.7326          | 0.4545   |
| 2.4551        | 4.0   | 84   | 2.0051          | 0.4545   |
| 2.3722        | 5.0   | 105  | 3.1027          | 0.4545   |
| 2.3023        | 6.0   | 126  | 2.6815          | 0.4545   |
| 2.8063        | 7.0   | 147  | 2.9446          | 0.4545   |
| 2.2692        | 8.0   | 168  | 3.1585          | 0.4545   |
| 2.545         | 9.0   | 189  | 2.8486          | 0.4545   |
| 2.2706        | 10.0  | 210  | 3.0754          | 0.4545   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
