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Smart_Tour_GizaVersion1.01
yotasr/Smart_Tour_GizaVersion1.01
Smart_Tour_GizaVersion1.01 is a image classification model from yotasr. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024
- SHA
- 17eef5de
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Smart_Tour_GizaVersion1.01
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: 0.0491
- 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: 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 |
|---|---|---|---|---|
| No log | 1.0 | 1 | 4.4777 | 0.0 |
| No log | 2.0 | 2 | 0.0777 | 1.0 |
| No log | 3.0 | 3 | 0.0510 | 1.0 |
| No log | 4.0 | 4 | 0.0491 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024