| --- |
| 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 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
