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_footColor
  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_footColor

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: 1.0480
- Accuracy: 0.55

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.9818        | 1.0   | 12   | 1.4086          | 0.55     |
| 4.0926        | 2.0   | 24   | 1.1745          | 0.55     |
| 1.9427        | 3.0   | 36   | 1.8742          | 0.2      |
| 4.0665        | 4.0   | 48   | 1.0673          | 0.55     |
| 2.225         | 5.0   | 60   | 1.3158          | 0.55     |
| 1.4044        | 6.0   | 72   | 1.1891          | 0.55     |
| 1.6696        | 7.0   | 84   | 1.0104          | 0.55     |
| 1.1405        | 8.0   | 96   | 1.1005          | 0.55     |
| 1.5148        | 9.0   | 108  | 1.0531          | 0.55     |
| 1.1416        | 10.0  | 120  | 1.0480          | 0.55     |


### Framework versions

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