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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: microsoft/swin-base-patch4-window7-224
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tags:
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- generated_from_trainer
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datasets:
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- pascal_voc
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model-index:
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- name: multilabel_classification
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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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# multilabel_classification
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the pascal_voc dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2309
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- Roc Auc: 0.7662
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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: 0.0001
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.4603 | 1.0 | 157 | 0.3015 | 0.6697 |
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| 0.2922 | 2.0 | 314 | 0.2428 | 0.7435 |
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| 0.2561 | 3.0 | 471 | 0.2309 | 0.7662 |
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### Framework versions
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- Transformers 4.55.3
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- Pytorch 2.8.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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