target_hold_hands / README.md
c14kevincardenas's picture
End of training
909396d verified
metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
  - image-regression
  - human-movement
  - vision
  - generated_from_trainer
model-index:
  - name: target_hold_hands
    results: []

target_hold_hands

This model is a fine-tuned version of facebook/detr-resnet-50 on the c14kevincardenas/beta_caller_284_target_hold_hands dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6006
  • Iou: 0.0000

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 2014
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 250
  • num_epochs: 20.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Iou
0.957 1.0 52 0.8557 0.0
0.7261 2.0 104 0.6803 0.0000
0.6689 3.0 156 0.6545 0.0000
0.7126 4.0 208 0.7020 0.0000
0.6688 5.0 260 0.6712 0.0000
0.7126 6.0 312 0.6633 0.0000
0.6633 7.0 364 0.6083 0.0000
0.6113 8.0 416 0.6061 0.0000
0.6101 9.0 468 0.6027 0.0000
0.6028 10.0 520 0.6007 0.0
0.5983 11.0 572 0.6019 0.0000
0.6014 12.0 624 0.6006 0.0000
0.5968 13.0 676 0.6014 0.0000
0.5932 14.0 728 0.6021 0.0000
0.592 15.0 780 0.6047 0.0
0.5935 16.0 832 0.6020 0.0000
0.5873 17.0 884 0.6026 0.0000
0.5853 18.0 936 0.6115 0.0000
0.5835 19.0 988 0.6087 0.0000
0.5868 20.0 1040 0.6076 0.0000

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1