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Foot

Image Classification
Transformers
Safetensors
dinov2
Generated from Trainer
Inference Endpoints
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/dinov2-base-imagenet1k-1-layer
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: Foot
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Foot
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0747
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+ - Accuracy: 0.4865
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 20
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 2 | 1.2201 | 0.3378 |
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+ | No log | 2.0 | 4 | 1.2243 | 0.2568 |
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+ | No log | 3.0 | 6 | 1.2672 | 0.2703 |
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+ | No log | 4.0 | 8 | 1.2501 | 0.2297 |
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+ | 1.2006 | 5.0 | 10 | 1.1975 | 0.2973 |
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+ | 1.2006 | 6.0 | 12 | 1.1270 | 0.3919 |
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+ | 1.2006 | 7.0 | 14 | 1.0999 | 0.3243 |
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+ | 1.2006 | 8.0 | 16 | 1.1497 | 0.3649 |
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+ | 1.2006 | 9.0 | 18 | 1.1006 | 0.3108 |
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+ | 1.1058 | 10.0 | 20 | 1.1271 | 0.3514 |
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+ | 1.1058 | 11.0 | 22 | 1.1273 | 0.3784 |
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+ | 1.1058 | 12.0 | 24 | 1.1639 | 0.2838 |
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+ | 1.1058 | 13.0 | 26 | 1.1421 | 0.4054 |
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+ | 1.1058 | 14.0 | 28 | 1.1190 | 0.3514 |
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+ | 1.0489 | 15.0 | 30 | 1.1735 | 0.3243 |
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+ | 1.0489 | 16.0 | 32 | 1.1422 | 0.3378 |
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+ | 1.0489 | 17.0 | 34 | 1.1414 | 0.3649 |
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+ | 1.0489 | 18.0 | 36 | 1.1033 | 0.4189 |
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+ | 1.0489 | 19.0 | 38 | 1.0747 | 0.3919 |
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+ | 0.9717 | 20.0 | 40 | 1.0952 | 0.3919 |
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+ | 0.9717 | 21.0 | 42 | 1.1063 | 0.3784 |
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+ | 0.9717 | 22.0 | 44 | 1.0822 | 0.3649 |
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+ | 0.9717 | 23.0 | 46 | 1.0768 | 0.3784 |
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+ | 0.9717 | 24.0 | 48 | 1.0753 | 0.4595 |
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+ | 0.9816 | 25.0 | 50 | 1.0531 | 0.4054 |
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+ | 0.9816 | 26.0 | 52 | 1.0624 | 0.4189 |
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+ | 0.9816 | 27.0 | 54 | 1.0690 | 0.4459 |
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+ | 0.9816 | 28.0 | 56 | 1.1392 | 0.3514 |
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+ | 0.9816 | 29.0 | 58 | 1.0696 | 0.4054 |
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+ | 0.9576 | 30.0 | 60 | 1.0747 | 0.4865 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0