fisheye8k_jozhang97_deta-swin-large-o365

This model is a fine-tuned version of jozhang97/deta-swin-large-o365 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.0247

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
1.3933	1.0	5288	1.6177
1.098	2.0	10576	1.2979
0.9565	3.0	15864	1.2650
0.8734	4.0	21152	1.2495
0.8196	5.0	26440	1.1328
0.7977	6.0	31728	1.3190
0.8448	7.0	37016	1.3999
0.7399	8.0	42304	1.3117
0.6325	9.0	47592	1.1202
0.621	10.0	52880	1.1707
0.7134	11.0	58168	1.2353
0.6425	12.0	63456	1.0416
0.5935	13.0	68744	0.9215
0.5798	14.0	74032	1.0827
0.5924	15.0	79320	1.0398
0.5559	16.0	84608	1.0112
0.5783	17.0	89896	1.0434
0.5536	18.0	95184	1.0247

Framework versions

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