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