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swinv2-tiny-patch4-window8-256-finetuned-lora-food101
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:
- Loss: 0.0096
- Accuracy: 1.0
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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.0096 | 1.0 |
| No log | 2.0 | 2 | 0.0025 | 1.0 |
| No log | 3.0 | 3 | 0.0006 | 1.0 |
| No log | 4.0 | 4 | 0.0002 | 1.0 |
| No log | 5.0 | 5 | 0.0001 | 1.0 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for awindb/swinv2-tiny-patch4-window8-256-finetuned-lora-food101
Base model
microsoft/swinv2-tiny-patch4-window8-256