
<!-- 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. -->

# genderage_convnext

This model is a fine-tuned version of [facebook/convnext-base-224](https://huggingface.co/facebook/convnext-base-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3896

## 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: 1e-05
- train_batch_size: 11
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5114        | 0.89  | 100  | 0.4998          |
| 0.425         | 1.79  | 200  | 0.4246          |
| 0.4124        | 2.68  | 300  | 0.4100          |
| 0.4034        | 3.57  | 400  | 0.4037          |
| 0.3938        | 4.46  | 500  | 0.3992          |
| 0.4021        | 5.36  | 600  | 0.3952          |
| 0.3843        | 6.25  | 700  | 0.3918          |
| 0.3804        | 7.14  | 800  | 0.3896          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2

female male age0to5 age6to10 age11to15 age16to25 age26to35 age36to49 age50to69 age70to99