metadata

license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: pose-estimation-crop-uncrop
    results: []
pipeline_tag: keypoint-detection

Crop vs Full Body

Model description

This model predicts whether the person in the image is cropped or full body. It is 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: 0.1513
Accuracy: 0.9649

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 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3