metadata
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window12-192-22k
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: swin-dog-food
results: []
swin-dog-food
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the sasha/dog-food dataset. It achieves the following results on the evaluation set:
- Loss: 0.0015
- 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: 0.0003
- train_batch_size: 32
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 53 | 0.0069 | 1.0 |
| 0.0765 | 2.0 | 106 | 0.0032 | 1.0 |
| 0.0765 | 3.0 | 159 | 0.0023 | 1.0 |
| 0.0037 | 4.0 | 212 | 0.0019 | 1.0 |
| 0.0037 | 5.0 | 265 | 0.0018 | 1.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2