Daniel Bogdoll
End of training
c3f160a verified
metadata
library_name: transformers
license: apache-2.0
base_model: facebook/deformable-detr-detic
tags:
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: fisheye8k_facebook_deformable-detr-detic
    results: []

fisheye8k_facebook_deformable-detr-detic

This model is a fine-tuned version of facebook/deformable-detr-detic on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1348

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: 1
  • eval_batch_size: 8
  • seed: 0
  • 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: cosine
  • num_epochs: 36
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.435 1.0 5288 2.4832
2.2626 2.0 10576 2.6324
1.8443 3.0 15864 2.1361
2.4834 4.0 21152 2.5269
2.3417 5.0 26440 2.5997
1.939 6.0 31728 2.1948
1.8384 7.0 37016 2.0057
1.7235 8.0 42304 2.0182
1.728 9.0 47592 1.9454
1.621 10.0 52880 1.9876
1.539 11.0 58168 1.8862
1.7229 12.0 63456 2.2071
1.9613 13.0 68744 2.5147
1.5238 14.0 74032 1.9836
1.5777 15.0 79320 2.0812
1.5963 16.0 84608 2.1348

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0