---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: delivery_truck_classification
  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: 1.0
---

<!-- 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. -->

# delivery_truck_classification

This model is a fine-tuned version of [JEdward7777/delivery_truck_classification](https://huggingface.co/JEdward7777/delivery_truck_classification) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0621
- 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.86  | 3    | 0.1456          | 0.9574   |
| No log        | 1.86  | 6    | 0.0900          | 0.9787   |
| No log        | 2.86  | 9    | 0.0621          | 1.0      |
| No log        | 3.86  | 12   | 0.0635          | 0.9787   |
| No log        | 4.86  | 15   | 0.0535          | 0.9787   |
| No log        | 5.86  | 18   | 0.0663          | 0.9574   |
| 0.3029        | 6.86  | 21   | 0.0492          | 0.9787   |
| 0.3029        | 7.86  | 24   | 0.0559          | 0.9787   |
| 0.3029        | 8.86  | 27   | 0.0664          | 0.9787   |
| 0.3029        | 9.86  | 30   | 0.0643          | 0.9787   |
| 0.3029        | 10.86 | 33   | 0.0558          | 0.9787   |
| 0.3029        | 11.86 | 36   | 0.0365          | 1.0      |
| 0.3029        | 12.86 | 39   | 0.0438          | 0.9787   |
| 0.2212        | 13.86 | 42   | 0.0456          | 0.9787   |
| 0.2212        | 14.86 | 45   | 0.0402          | 0.9787   |
| 0.2212        | 15.86 | 48   | 0.0351          | 0.9787   |
| 0.2212        | 16.86 | 51   | 0.0359          | 0.9787   |
| 0.2212        | 17.86 | 54   | 0.0427          | 0.9787   |
| 0.2212        | 18.86 | 57   | 0.0490          | 0.9574   |
| 0.186         | 19.86 | 60   | 0.0396          | 0.9787   |
| 0.186         | 20.86 | 63   | 0.0291          | 0.9787   |
| 0.186         | 21.86 | 66   | 0.0152          | 1.0      |
| 0.186         | 22.86 | 69   | 0.0142          | 1.0      |
| 0.186         | 23.86 | 72   | 0.0178          | 1.0      |
| 0.186         | 24.86 | 75   | 0.0176          | 1.0      |
| 0.186         | 25.86 | 78   | 0.0151          | 1.0      |
| 0.1751        | 26.86 | 81   | 0.0110          | 1.0      |
| 0.1751        | 27.86 | 84   | 0.0121          | 1.0      |
| 0.1751        | 28.86 | 87   | 0.0158          | 1.0      |
| 0.1751        | 29.86 | 90   | 0.0250          | 1.0      |
| 0.1751        | 30.86 | 93   | 0.0292          | 1.0      |
| 0.1751        | 31.86 | 96   | 0.0260          | 1.0      |
| 0.1751        | 32.86 | 99   | 0.0206          | 1.0      |
| 0.1614        | 33.86 | 102  | 0.0181          | 1.0      |
| 0.1614        | 34.86 | 105  | 0.0170          | 1.0      |
| 0.1614        | 35.86 | 108  | 0.0170          | 1.0      |
| 0.1614        | 36.86 | 111  | 0.0177          | 1.0      |
| 0.1614        | 37.86 | 114  | 0.0188          | 1.0      |
| 0.1614        | 38.86 | 117  | 0.0189          | 1.0      |
| 0.1483        | 39.86 | 120  | 0.0188          | 1.0      |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.0
- Tokenizers 0.13.1