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# acouslic_ai_image_classification-10-epochs

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5137
- Accuracy: 0.7873

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.8185        | 0.9895 | 71   | 0.8175          | 0.5911   |
| 0.6682        | 1.9895 | 142  | 0.6966          | 0.6774   |
| 0.5782        | 2.9895 | 213  | 0.5758          | 0.7384   |
| 0.5419        | 3.9895 | 284  | 0.5869          | 0.7332   |
| 0.5374        | 4.9895 | 355  | 0.5485          | 0.7515   |
| 0.4418        | 5.9895 | 426  | 0.5585          | 0.7402   |
| 0.4767        | 6.9895 | 497  | 0.5299          | 0.7672   |
| 0.3957        | 7.9895 | 568  | 0.5121          | 0.7847   |
| 0.4294        | 8.9895 | 639  | 0.5118          | 0.7820   |
| 0.4067        | 9.9895 | 710  | 0.5137          | 0.7873   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

no_annotation optimal suboptimal