---
base_model: yotasr/Smart_TourGuide
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: Smart_Tour_Alex_v0.1
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9982758620689656
---

<!-- 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_Alex_v0.1

This model is a fine-tuned version of [yotasr/Smart_TourGuide](https://huggingface.co/yotasr/Smart_TourGuide) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1183
- Accuracy: 0.9983

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4449        | 1.0   | 41   | 0.3374          | 0.9983   |
| 0.1747        | 2.0   | 82   | 0.1558          | 0.9983   |
| 0.1324        | 3.0   | 123  | 0.1251          | 0.9983   |
| 0.1225        | 4.0   | 164  | 0.1183          | 0.9983   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2