---
license: apache-2.0
base_model: NTQAI/pedestrian_gender_recognition
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NTQAI_pedestrian_gender_recognition_v1
  results: []
---

<!-- 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. -->

# NTQAI_pedestrian_gender_recognition_v1

This model is a fine-tuned version of [NTQAI/pedestrian_gender_recognition](https://huggingface.co/NTQAI/pedestrian_gender_recognition) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1873
- Accuracy: 0.93

## 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: 9e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4561        | 0.96  | 12   | 0.2296          | 0.92     |
| 0.3486        | 2.0   | 25   | 0.1873          | 0.93     |
| 0.2995        | 2.88  | 36   | 0.1918          | 0.92     |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2