detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow – AI Model by kariver | AlphaNeural AI

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kariver/
detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow

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

Loss: 2.9613

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
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
No log	1.0	33	3.4739
4.5266	2.0	66	3.4064
4.5266	3.0	99	3.2739
3.2133	4.0	132	3.3611
3.3196	5.0	165	3.1082
3.3196	6.0	198	3.2548
2.9882	7.0	231	3.2691
3.1559	8.0	264	3.2925
3.1559	9.0	297	3.1214
2.9855	10.0	330	3.0595
2.8269	11.0	363	3.0367
2.8269	12.0	396	3.0276
2.7938	13.0	429	3.0012
2.7678	14.0	462	2.9559
2.7678	15.0	495	2.9613

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1