detr-resnet-101_rmsprop_finetuned_food-roboflow

This model is a fine-tuned version of facebook/detr-resnet-101 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 2.9853

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: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.8836	0.77	50	4.5609
3.9193	1.54	100	3.5764
3.2186	2.31	150	3.2685
2.8952	3.08	200	3.1941
2.8565	3.85	250	3.1280
2.7563	4.62	300	3.0448
2.668	5.38	350	3.0325
2.6474	6.15	400	2.9764
2.6463	6.92	450	2.9752
2.6616	7.69	500	3.0352
2.5155	8.46	550	2.9928
2.5778	9.23	600	2.9603
2.5876	10.0	650	2.9502
2.513	10.77	700	3.0151
2.5598	11.54	750	3.0011
2.491	12.31	800	3.0134
2.5103	13.08	850	2.9825
2.5497	13.85	900	3.0169
2.5738	14.62	950	2.9853

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1