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detr-resnet-50-dc5-fashionpedia-finetuned – AI Model by kylecsnow | AlphaNeural AI
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kylecsnow
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detr-resnet-50-dc5-fashionpedia-finetuned
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transformers
safetensors
detr
object-detection
generated_from_trainer
facebook/detr-resnet-50-dc5
finetune
apache-2.0
endpoints_compatible
us
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detr-resnet-50-dc5-fashionpedia-finetuned
THIS IS JUST A TEST, THIS MODEL IS NOT GOOD
This model is a fine-tuned version of
facebook/detr-resnet-50-dc5
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 6.9081
eval_map: 0.0098
eval_map_50: 0.0281
eval_map_75: 0.0
eval_map_small: 0.0
eval_map_medium: 0.0
eval_map_large: 0.0196
eval_mar_1: 0.0083
eval_mar_10: 0.0111
eval_mar_100: 0.0111
eval_mar_small: 0.0
eval_mar_medium: 0.0
eval_mar_large: 0.0222
eval_map_shirt, blouse: 0.0
eval_mar_100_shirt, blouse: 0.0
eval_map_top, t-shirt, sweatshirt: 0.0
eval_mar_100_top, t-shirt, sweatshirt: 0.0
eval_map_sweater: -1.0
eval_mar_100_sweater: -1.0
eval_map_cardigan: -1.0
eval_mar_100_cardigan: -1.0
eval_map_jacket: 0.1767
eval_mar_100_jacket: 0.2
eval_map_vest: -1.0
eval_mar_100_vest: -1.0
eval_map_pants: 0.0
eval_mar_100_pants: 0.0
eval_map_shorts: 0.0
eval_mar_100_shorts: 0.0
eval_map_skirt: 0.0
eval_mar_100_skirt: 0.0
eval_map_coat: 0.0
eval_mar_100_coat: 0.0
eval_map_dress: 0.0
eval_mar_100_dress: 0.0
eval_map_cape: -1.0
eval_mar_100_cape: -1.0
eval_map_glasses: 0.0
eval_mar_100_glasses: 0.0
eval_map_tie: -1.0
eval_mar_100_tie: -1.0
eval_map_glove: -1.0
eval_mar_100_glove: -1.0
eval_map_leg warmer: -1.0
eval_mar_100_leg warmer: -1.0
eval_map_tights, stockings: 0.0
eval_mar_100_tights, stockings: 0.0
eval_map_shoe: 0.0
eval_mar_100_shoe: 0.0
eval_map_umbrella: 0.0
eval_mar_100_umbrella: 0.0
eval_map_hood: -1.0
eval_mar_100_hood: -1.0
eval_map_collar: 0.0
eval_mar_100_collar: 0.0
eval_map_lapel: 0.0
eval_mar_100_lapel: 0.0
eval_map_sleeve: 0.0
eval_mar_100_sleeve: 0.0
eval_map_pocket: 0.0
eval_mar_100_pocket: 0.0
eval_map_neckline: 0.0
eval_mar_100_neckline: 0.0
eval_map_buckle: -1.0
eval_mar_100_buckle: -1.0
eval_map_zipper: 0.0
eval_mar_100_zipper: 0.0
eval_map_applique: -1.0
eval_mar_100_applique: -1.0
eval_map_bead: -1.0
eval_mar_100_bead: -1.0
eval_map_bow: -1.0
eval_mar_100_bow: -1.0
eval_map_fringe: -1.0
eval_mar_100_fringe: -1.0
eval_map_ribbon: -1.0
eval_mar_100_ribbon: -1.0
eval_map_rivet: -1.0
eval_mar_100_rivet: -1.0
eval_runtime: 4.5194
eval_samples_per_second: 2.434
eval_steps_per_second: 0.664
epoch: 0.4386
step: 50
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: 4
eval_batch_size: 4
seed: 42
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: linear
training_steps: 1000
Framework versions
Transformers 4.50.3
Pytorch 2.2.1
Datasets 3.5.0
Tokenizers 0.21.1
