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

mikecho/NTQAI_pedestrian_gender_recognition_v1

NTQAI_pedestrian_gender_recognition_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mikecho/
NTQAI_pedestrian_gender_recognition_v1