test-save-model
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3960
- eval_accuracy: 0.8791
- eval_runtime: 11.3182
- eval_samples_per_second: 65.028
- eval_steps_per_second: 4.064
- epoch: 1.0
- step: 46
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for vuongnhathien/test-save-model
Base model
microsoft/swinv2-tiny-patch4-window16-256