
<!-- 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. -->

# finetuned-occupations

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 house_problem_images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3327
- Accuracy: 0.9196

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5893        | 0.9091 | 100  | 0.5142          | 0.8424   |
| 0.4248        | 1.8182 | 200  | 0.3701          | 0.8682   |
| 0.2474        | 2.7273 | 300  | 0.3613          | 0.8842   |
| 0.1783        | 3.6364 | 400  | 0.3638          | 0.8810   |
| 0.1297        | 4.5455 | 500  | 0.3828          | 0.8971   |
| 0.1512        | 5.4545 | 600  | 0.3935          | 0.9003   |
| 0.0856        | 6.3636 | 700  | 0.3825          | 0.9035   |
| 0.0619        | 7.2727 | 800  | 0.4082          | 0.9003   |
| 0.056         | 8.1818 | 900  | 0.3464          | 0.9003   |
| 0.0636        | 9.0909 | 1000 | 0.3327          | 0.9196   |
| 0.0519        | 10.0   | 1100 | 0.3202          | 0.9132   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1

builder electrician others plumber