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# 2025-05-30_23-53-40

This model is a fine-tuned version of [google/deeplabv3_mobilenet_v2_1.0_513](https://huggingface.co/google/deeplabv3_mobilenet_v2_1.0_513) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5218
- Accuracy: 0.7286

## 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: 8
- total_train_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1046        | 1.0   | 2    | 0.7815          | 0.5      |
| 0.0928        | 2.0   | 4    | 0.6803          | 0.5143   |
| 0.1231        | 3.0   | 6    | 0.6336          | 0.6429   |
| 0.0788        | 4.0   | 8    | 0.5967          | 0.6714   |
| 0.0828        | 5.0   | 10   | 0.6340          | 0.5857   |
| 0.0583        | 6.0   | 12   | 0.6024          | 0.6429   |
| 0.0842        | 7.0   | 14   | 0.6859          | 0.5143   |
| 0.0901        | 8.0   | 16   | 0.5748          | 0.6714   |
| 0.0924        | 9.0   | 18   | 0.5445          | 0.7429   |
| 0.0851        | 10.0  | 20   | 0.5218          | 0.7286   |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1

healthy sick