raccoon_detector / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
  - generated_from_trainer
model-index:
  - name: raccoon_detector
    results: []

raccoon_detector

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

  • Loss: 0.4696

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 40 1.2814
No log 2.0 80 1.1424
No log 3.0 120 0.9869
No log 4.0 160 0.9042
No log 5.0 200 0.7036
No log 6.0 240 0.7302
No log 7.0 280 0.6320
No log 8.0 320 0.5814
No log 9.0 360 0.5468
No log 10.0 400 0.5419
No log 11.0 440 0.5130
No log 12.0 480 0.5220
0.8899 13.0 520 0.5162
0.8899 14.0 560 0.5061
0.8899 15.0 600 0.5066
0.8899 16.0 640 0.4785
0.8899 17.0 680 0.4817
0.8899 18.0 720 0.4782
0.8899 19.0 760 0.4873
0.8899 20.0 800 0.4696

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1