Pose Estimation: front,side,back
Model description
This model predicts the person's body position relative to the camera: front, side, back. It was trained on Lucy in the Sky images.
This model is a fine-tuned version of google/vit-base-patch16-224-in21k.
Training and evaluation data
It achieves the following results on the evaluation set:
- Loss: 0.2524
- Accuracy: 0.9355
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-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: 20
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Model tree for LucyintheSky/pose-estimation-front-side-back
Base model
google/vit-base-patch16-224-in21k