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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/dinov2-small-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: dinov2-small-imagenet1k-1-layer-finetuned-noh
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results: []
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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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# dinov2-small-imagenet1k-1-layer-finetuned-noh
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.3058
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- Accuracy: 0.8982
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.5315 | 1.0 | 23 | 1.2674 | 0.2479 |
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| 0.4629 | 2.0 | 46 | 0.5134 | 0.7882 |
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| 0.4368 | 3.0 | 69 | 0.3058 | 0.8982 |
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| 0.4123 | 4.0 | 92 | 0.4148 | 0.8046 |
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| 0.3301 | 5.0 | 115 | 0.3520 | 0.8736 |
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| 0.2907 | 6.0 | 138 | 0.4415 | 0.8440 |
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| 0.2809 | 7.0 | 161 | 0.5786 | 0.7521 |
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| 0.2243 | 8.0 | 184 | 0.4724 | 0.8752 |
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| 0.1968 | 9.0 | 207 | 0.5452 | 0.8703 |
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| 0.1601 | 9.5778 | 220 | 0.5386 | 0.8440 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.5.1
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- Datasets 2.19.1
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- Tokenizers 0.21.0
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