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# image_classification

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2061
- Accuracy: 0.6125

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 54   | 1.7044          | 0.4625   |
| No log        | 2.0   | 108  | 1.3854          | 0.5125   |
| No log        | 3.0   | 162  | 1.2644          | 0.5687   |
| No log        | 4.0   | 216  | 1.1669          | 0.5563   |
| No log        | 5.0   | 270  | 1.1673          | 0.5875   |
| No log        | 6.0   | 324  | 1.3820          | 0.4938   |
| No log        | 7.0   | 378  | 1.2513          | 0.5938   |
| No log        | 8.0   | 432  | 1.2485          | 0.5875   |
| No log        | 9.0   | 486  | 1.2061          | 0.6125   |
| 0.6933        | 10.0  | 540  | 1.2409          | 0.575    |
| 0.6933        | 11.0  | 594  | 1.2775          | 0.6      |
| 0.6933        | 12.0  | 648  | 1.2687          | 0.6062   |
| 0.6933        | 13.0  | 702  | 1.3228          | 0.575    |
| 0.6933        | 14.0  | 756  | 1.2998          | 0.5938   |
| 0.6933        | 15.0  | 810  | 1.3246          | 0.6125   |
| 0.6933        | 16.0  | 864  | 1.3368          | 0.6      |
| 0.6933        | 17.0  | 918  | 1.3406          | 0.5875   |
| 0.6933        | 18.0  | 972  | 1.3454          | 0.5875   |
| 0.06          | 19.0  | 1026 | 1.3520          | 0.5813   |
| 0.06          | 20.0  | 1080 | 1.3549          | 0.5875   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "image_classification", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefolder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.6125, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer dataset:imagefolder base_model:google/vit-base-patch16-224-in21k license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us