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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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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
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