Update README.md

README.md

@@ -1,88 +1,15 @@
 ---
-license: apache-2.0
-tags:
-- image-classification
-- vision
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: outputs
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9107332624867163
+license: other
+language:
+- en
+pipeline_tag: image-classification
+library_name: transformers
+license_name: all-rights-reserved
 ---
 
-<!-- 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. -->
 
-# outputs
 
-This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the [PETA dataset](http://mmlab.ie.cuhk.edu.hk/projects/PETA_files/Pedestrian%20Attribute%20Recognition%20At%20Far%20Distance.pdf) dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2170
-- Accuracy: 0.9107
 
-## Model description
+© 2024 Mandela Logan. All rights reserved.
 
-More information needed
-
-#### How to use
-
-You can use this model with Transformers *pipeline* .
-
-```python
-from transformers import pipeline
-gender_classifier = pipeline(model="NTQAI/pedestrian_gender_recognition")
-image_path = "abc.jpg"
-
-results = gender_classifier(image_path)
-print(results)
-```
-
-## 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: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 1337
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 5.0
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.5193        | 1.0   | 2000  | 0.3346          | 0.8533   |
-| 0.337         | 2.0   | 4000  | 0.2892          | 0.8778   |
-| 0.3771        | 3.0   | 6000  | 0.2493          | 0.8969   |
-| 0.3819        | 4.0   | 8000  | 0.2275          | 0.9100   |
-| 0.3581        | 5.0   | 10000 | 0.2170          | 0.9107   |
-
-
-### Framework versions
-
-- Transformers 4.24.0.dev0
-- Pytorch 1.12.1+cu113
-- Datasets 2.6.1
-- Tokenizers 0.13.1
-
-### Contact information
-For personal communication related to this project, please contact Nha Nguyen Van (nha282@gmail.com).
+No part of this model may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the copyright holder. Unauthorized use or reproduction of this model is strictly prohibited by copyright law.