resnet-18-finetuned-wikiart
This model is a fine-tuned version of microsoft/resnet-18 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6256
- Accuracy: 0.6247
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0382 | 1.0 | 2037 | 1.8771 | 0.5938 |
| 1.8027 | 2.0 | 4074 | 1.6860 | 0.6160 |
| 1.7033 | 3.0 | 6111 | 1.6256 | 0.6247 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Iust1n2/resnet-18-finetuned-wikiart
Base model
microsoft/resnet-18