| --- |
| license: apache-2.0 |
| base_model: facebook/dinov2-base-imagenet1k-1-layer |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: 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. --> |
|
|
| # Foot |
|
|
| This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0747 |
| - Accuracy: 0.4865 |
|
|
| ## 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: 10 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 20 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 30 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 2 | 1.2201 | 0.3378 | |
| | No log | 2.0 | 4 | 1.2243 | 0.2568 | |
| | No log | 3.0 | 6 | 1.2672 | 0.2703 | |
| | No log | 4.0 | 8 | 1.2501 | 0.2297 | |
| | 1.2006 | 5.0 | 10 | 1.1975 | 0.2973 | |
| | 1.2006 | 6.0 | 12 | 1.1270 | 0.3919 | |
| | 1.2006 | 7.0 | 14 | 1.0999 | 0.3243 | |
| | 1.2006 | 8.0 | 16 | 1.1497 | 0.3649 | |
| | 1.2006 | 9.0 | 18 | 1.1006 | 0.3108 | |
| | 1.1058 | 10.0 | 20 | 1.1271 | 0.3514 | |
| | 1.1058 | 11.0 | 22 | 1.1273 | 0.3784 | |
| | 1.1058 | 12.0 | 24 | 1.1639 | 0.2838 | |
| | 1.1058 | 13.0 | 26 | 1.1421 | 0.4054 | |
| | 1.1058 | 14.0 | 28 | 1.1190 | 0.3514 | |
| | 1.0489 | 15.0 | 30 | 1.1735 | 0.3243 | |
| | 1.0489 | 16.0 | 32 | 1.1422 | 0.3378 | |
| | 1.0489 | 17.0 | 34 | 1.1414 | 0.3649 | |
| | 1.0489 | 18.0 | 36 | 1.1033 | 0.4189 | |
| | 1.0489 | 19.0 | 38 | 1.0747 | 0.3919 | |
| | 0.9717 | 20.0 | 40 | 1.0952 | 0.3919 | |
| | 0.9717 | 21.0 | 42 | 1.1063 | 0.3784 | |
| | 0.9717 | 22.0 | 44 | 1.0822 | 0.3649 | |
| | 0.9717 | 23.0 | 46 | 1.0768 | 0.3784 | |
| | 0.9717 | 24.0 | 48 | 1.0753 | 0.4595 | |
| | 0.9816 | 25.0 | 50 | 1.0531 | 0.4054 | |
| | 0.9816 | 26.0 | 52 | 1.0624 | 0.4189 | |
| | 0.9816 | 27.0 | 54 | 1.0690 | 0.4459 | |
| | 0.9816 | 28.0 | 56 | 1.1392 | 0.3514 | |
| | 0.9816 | 29.0 | 58 | 1.0696 | 0.4054 | |
| | 0.9576 | 30.0 | 60 | 1.0747 | 0.4865 | |
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| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
