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NTQAI_pedestrian_gender_recognition_v1
mikecho/NTQAI_pedestrian_gender_recognition_v1
NTQAI_pedestrian_gender_recognition_v1 is a image classification model from mikecho. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- beit
- Access
- Public
- Created
- Mar 19, 2024
- Updated
- Mar 20, 2024
- SHA
- 06223779
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Image Classification
- Library
- transformers
- Type
- beit
- License
- apache-2.0
- Created
- Mar 19, 2024
- Updated
- Mar 20, 2024