Smart_Tour_Luxor_v1.0
This model is a fine-tuned version of yotasr/Smart_TourGuide on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1019
- Accuracy: 0.9986
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.4048 | 1.0 | 194 | 0.3498 | 0.9986 |
0.1711 | 2.0 | 388 | 0.1682 | 0.9978 |
0.1307 | 3.0 | 582 | 0.1148 | 0.9986 |
0.115 | 4.0 | 776 | 0.1019 | 0.9986 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 14