--- library_name: transformers license: apache-2.0 base_model: ustc-community/dfine-large-obj365 tags: - generated_from_trainer model-index: - name: dfine_coco2017-1k results: [] --- # dfine_coco2017-1k This model is a fine-tuned version of [ustc-community/dfine-large-obj365](https://huggingface.co/ustc-community/dfine-large-obj365) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0118 - Map: 0.0299 - Map 50: 0.0372 - Map 75: 0.0329 - Map Airplane: 0.0221 - Map Apple: 0.0 - Map Backpack: 0.0021 - Map Banana: 0.0063 - Map Baseball bat: 0.0 - Map Baseball glove: 0.1984 - Map Bear: 0.0 - Map Bed: 0.0 - Map Bench: 0.0009 - Map Bicycle: 0.0 - Map Bird: 0.0016 - Map Boat: 0.0123 - Map Book: 0.0002 - Map Bottle: 0.046 - Map Bowl: 0.0588 - Map Broccoli: 0.0007 - Map Bus: 0.3589 - Map Cake: 0.0142 - Map Car: 0.1625 - Map Carrot: 0.0 - Map Cat: 0.0047 - Map Cell phone: 0.08 - Map Chair: 0.0741 - Map Clock: 0.001 - Map Couch: 0.0125 - Map Cow: 0.1326 - Map Cup: 0.0592 - Map Dining table: 0.0596 - Map Dog: 0.0 - Map Donut: -1.0 - Map Elephant: 0.0034 - Map Fire hydrant: -1.0 - Map Fork: 0.0027 - Map Frisbee: 0.0008 - Map Giraffe: 0.0976 - Map Handbag: 0.0022 - Map Horse: 0.0022 - Map Hot dog: 0.0 - Map Keyboard: 0.0 - Map Kite: 0.008 - Map Knife: 0.001 - Map Laptop: 0.0009 - Map Large: 0.0435 - Map Medium: 0.0369 - Map Microwave: 0.0 - Map Motorcycle: 0.0006 - Map Mouse: 0.0 - Map Orange: 0.0 - Map Oven: 0.0 - Map Parking meter: 0.0 - Map Person: 0.1633 - Map Pizza: 0.0451 - Map Potted plant: 0.0026 - Map Refrigerator: 0.0013 - Map Remote: 0.0053 - Map Sandwich: 0.0 - Map Scissors: 0.0 - Map Sheep: 0.0 - Map Sink: 0.0001 - Map Skateboard: 0.0 - Map Skis: 0.0049 - Map Small: 0.0085 - Map Snowboard: 0.0 - Map Spoon: 0.0 - Map Sports ball: 0.0 - Map Stop sign: 0.006 - Map Suitcase: 0.0009 - Map Surfboard: 0.0027 - Map Teddy bear: 0.0 - Map Tennis racket: 0.1978 - Map Tie: 0.0 - Map Toaster: -1.0 - Map Toilet: 0.0101 - Map Toothbrush: 0.0 - Map Traffic light: 0.0388 - Map Train: 0.0096 - Map Truck: 0.108 - Map Tv: 0.2457 - Map Umbrella: 0.0001 - Map Vase: 0.0002 - Map Wine glass: 0.0 - Map Zebra: 0.0015 - Mar 1: 0.1037 - Mar 10: 0.1704 - Mar 100: 0.1887 - Mar 100 Airplane: 0.6857 - Mar 100 Apple: 0.0 - Mar 100 Backpack: 0.0333 - Mar 100 Banana: 0.0545 - Mar 100 Baseball bat: 0.0 - Mar 100 Baseball glove: 0.3438 - Mar 100 Bear: 0.0 - Mar 100 Bed: 0.0 - Mar 100 Bench: 0.275 - Mar 100 Bicycle: 0.0 - Mar 100 Bird: 0.5 - Mar 100 Boat: 0.2408 - Mar 100 Book: 0.0344 - Mar 100 Bottle: 0.3444 - Mar 100 Bowl: 0.224 - Mar 100 Broccoli: 0.1143 - Mar 100 Bus: 0.7917 - Mar 100 Cake: 0.25 - Mar 100 Car: 0.3451 - Mar 100 Carrot: 0.0 - Mar 100 Cat: 0.3692 - Mar 100 Cell phone: 0.1474 - Mar 100 Chair: 0.2458 - Mar 100 Clock: 0.1412 - Mar 100 Couch: 0.3455 - Mar 100 Cow: 0.4625 - Mar 100 Cup: 0.2686 - Mar 100 Dining table: 0.45 - Mar 100 Dog: 0.0 - Mar 100 Donut: -1.0 - Mar 100 Elephant: 0.5111 - Mar 100 Fire hydrant: -1.0 - Mar 100 Fork: 0.0643 - Mar 100 Frisbee: 0.6333 - Mar 100 Giraffe: 0.9556 - Mar 100 Handbag: 0.136 - Mar 100 Horse: 0.6 - Mar 100 Hot dog: 0.0 - Mar 100 Keyboard: 0.0 - Mar 100 Kite: 0.1611 - Mar 100 Knife: 0.0333 - Mar 100 Laptop: 0.1222 - Mar 100 Microwave: 0.0 - Mar 100 Motorcycle: 0.1437 - Mar 100 Mouse: 0.0 - Mar 100 Orange: 0.0 - Mar 100 Oven: 0.0 - Mar 100 Parking meter: 0.0 - Mar 100 Person: 0.4451 - Mar 100 Pizza: 0.16 - Mar 100 Potted plant: 0.205 - Mar 100 Refrigerator: 0.1286 - Mar 100 Remote: 0.0905 - Mar 100 Sandwich: 0.0 - Mar 100 Scissors: 0.0 - Mar 100 Sheep: 0.0 - Mar 100 Sink: 0.05 - Mar 100 Skateboard: 0.0 - Mar 100 Skis: 0.0875 - Mar 100 Snowboard: 0.0 - Mar 100 Spoon: 0.0 - Mar 100 Sports ball: 0.0 - Mar 100 Stop sign: 0.225 - Mar 100 Suitcase: 0.225 - Mar 100 Surfboard: 0.3818 - Mar 100 Teddy bear: 0.0 - Mar 100 Tennis racket: 0.5 - Mar 100 Tie: 0.0 - Mar 100 Toaster: -1.0 - Mar 100 Toilet: 0.2529 - Mar 100 Toothbrush: 0.0 - Mar 100 Traffic light: 0.1083 - Mar 100 Train: 0.1111 - Mar 100 Truck: 0.569 - Mar 100 Tv: 0.5615 - Mar 100 Umbrella: 0.0353 - Mar 100 Vase: 0.0833 - Mar 100 Wine glass: 0.0 - Mar 100 Zebra: 0.0909 - Mar Large: 0.2753 - Mar Medium: 0.1135 - Mar Small: 0.0232 ## 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: 8 - eval_batch_size: 1 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 300 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Airplane | Map Apple | Map Backpack | Map Banana | Map Baseball bat | Map Baseball glove | Map Bear | Map Bed | Map Bench | Map Bicycle | Map Bird | Map Boat | Map Book | Map Bottle | Map Bowl | Map Broccoli | Map Bus | Map Cake | Map Car | Map Carrot | Map Cat | Map Cell phone | Map Chair | Map Clock | Map Couch | Map Cow | Map Cup | Map Dining table | Map Dog | Map Donut | Map Elephant | Map Fire hydrant | Map Fork | Map Frisbee | Map Giraffe | Map Handbag | Map Horse | Map Hot dog | Map Keyboard | Map Kite | Map Knife | Map Laptop | Map Large | Map Medium | Map Microwave | Map Motorcycle | Map Mouse | Map Orange | Map Oven | Map Parking meter | Map Person | Map Pizza | Map Potted plant | Map Refrigerator | Map Remote | Map Sandwich | Map Scissors | Map Sheep | Map Sink | Map Skateboard | Map Skis | Map Small | Map Snowboard | Map Spoon | Map Sports ball | Map Stop sign | Map Suitcase | Map Surfboard | Map Teddy bear | Map Tennis racket | Map Tie | Map Toaster | Map Toilet | Map Toothbrush | Map Traffic light | Map Train | Map Truck | Map Tv | Map Umbrella | Map Vase | Map Wine glass | Map Zebra | Mar 1 | Mar 10 | Mar 100 | Mar 100 Airplane | Mar 100 Apple | Mar 100 Backpack | Mar 100 Banana | Mar 100 Baseball bat | Mar 100 Baseball glove | Mar 100 Bear | Mar 100 Bed | Mar 100 Bench | Mar 100 Bicycle | Mar 100 Bird | Mar 100 Boat | Mar 100 Book | Mar 100 Bottle | Mar 100 Bowl | Mar 100 Broccoli | Mar 100 Bus | Mar 100 Cake | Mar 100 Car | Mar 100 Carrot | Mar 100 Cat | Mar 100 Cell phone | Mar 100 Chair | Mar 100 Clock | Mar 100 Couch | Mar 100 Cow | Mar 100 Cup | Mar 100 Dining table | Mar 100 Dog | Mar 100 Donut | Mar 100 Elephant | Mar 100 Fire hydrant | Mar 100 Fork | Mar 100 Frisbee | Mar 100 Giraffe | Mar 100 Handbag | Mar 100 Horse | Mar 100 Hot dog | Mar 100 Keyboard | Mar 100 Kite | Mar 100 Knife | Mar 100 Laptop | Mar 100 Microwave | Mar 100 Motorcycle | Mar 100 Mouse | Mar 100 Orange | Mar 100 Oven | Mar 100 Parking meter | Mar 100 Person | Mar 100 Pizza | Mar 100 Potted plant | Mar 100 Refrigerator | Mar 100 Remote | Mar 100 Sandwich | Mar 100 Scissors | Mar 100 Sheep | Mar 100 Sink | Mar 100 Skateboard | Mar 100 Skis | Mar 100 Snowboard | Mar 100 Spoon | Mar 100 Sports ball | Mar 100 Stop sign | Mar 100 Suitcase | Mar 100 Surfboard | Mar 100 Teddy bear | Mar 100 Tennis racket | Mar 100 Tie | Mar 100 Toaster | Mar 100 Toilet | Mar 100 Toothbrush | Mar 100 Traffic light | Mar 100 Train | Mar 100 Truck | Mar 100 Tv | Mar 100 Umbrella | Mar 100 Vase | Mar 100 Wine glass | Mar 100 Zebra | Mar Large | Mar Medium | Mar Small | 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| 76.1385 | 1.0 | 740 | 3.0118 | 0.0299 | 0.0372 | 0.0329 | 0.0221 | 0.0 | 0.0021 | 0.0063 | 0.0 | 0.1984 | 0.0 | 0.0 | 0.0009 | 0.0 | 0.0016 | 0.0123 | 0.0002 | 0.046 | 0.0588 | 0.0007 | 0.3589 | 0.0142 | 0.1625 | 0.0 | 0.0047 | 0.08 | 0.0741 | 0.001 | 0.0125 | 0.1326 | 0.0592 | 0.0596 | 0.0 | -1.0 | 0.0034 | -1.0 | 0.0027 | 0.0008 | 0.0976 | 0.0022 | 0.0022 | 0.0 | 0.0 | 0.008 | 0.001 | 0.0009 | 0.0435 | 0.0369 | 0.0 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1633 | 0.0451 | 0.0026 | 0.0013 | 0.0053 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0049 | 0.0085 | 0.0 | 0.0 | 0.0 | 0.006 | 0.0009 | 0.0027 | 0.0 | 0.1978 | 0.0 | -1.0 | 0.0101 | 0.0 | 0.0388 | 0.0096 | 0.108 | 0.2457 | 0.0001 | 0.0002 | 0.0 | 0.0015 | 0.1037 | 0.1704 | 0.1887 | 0.6857 | 0.0 | 0.0333 | 0.0545 | 0.0 | 0.3438 | 0.0 | 0.0 | 0.275 | 0.0 | 0.5 | 0.2408 | 0.0344 | 0.3444 | 0.224 | 0.1143 | 0.7917 | 0.25 | 0.3451 | 0.0 | 0.3692 | 0.1474 | 0.2458 | 0.1412 | 0.3455 | 0.4625 | 0.2686 | 0.45 | 0.0 | -1.0 | 0.5111 | -1.0 | 0.0643 | 0.6333 | 0.9556 | 0.136 | 0.6 | 0.0 | 0.0 | 0.1611 | 0.0333 | 0.1222 | 0.0 | 0.1437 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4451 | 0.16 | 0.205 | 0.1286 | 0.0905 | 0.0 | 0.0 | 0.0 | 0.05 | 0.0 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.225 | 0.225 | 0.3818 | 0.0 | 0.5 | 0.0 | -1.0 | 0.2529 | 0.0 | 0.1083 | 0.1111 | 0.569 | 0.5615 | 0.0353 | 0.0833 | 0.0 | 0.0909 | 0.2753 | 0.1135 | 0.0232 | ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.0+cu126 - Datasets 4.4.2 - Tokenizers 0.22.2