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# trained-age

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the fair_face dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1340
- Accuracy: 0.5164

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3347        | 0.18  | 1000 | 1.3819          | 0.4296   |
| 1.3071        | 0.37  | 2000 | 1.2799          | 0.4642   |
| 1.297         | 0.55  | 3000 | 1.2503          | 0.4721   |
| 1.3121        | 0.74  | 4000 | 1.1661          | 0.4995   |
| 1.1806        | 0.92  | 5000 | 1.1137          | 0.5240   |
| 1.0839        | 1.11  | 6000 | 1.1340          | 0.5164   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0

0-2 3-9 10-19 20-29 30-39 40-49 50-59 60-69 more than 70