metadata
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- pascal_voc
model-index:
- name: multilabel_classification
results: []
multilabel_classification
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the pascal_voc dataset. It achieves the following results on the evaluation set:
- Loss: 0.2309
- Roc Auc: 0.7662
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Roc Auc |
|---|---|---|---|---|
| 0.4603 | 1.0 | 157 | 0.3015 | 0.6697 |
| 0.2922 | 2.0 | 314 | 0.2428 | 0.7435 |
| 0.2561 | 3.0 | 471 | 0.2309 | 0.7662 |
Framework versions
- Transformers 4.55.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2