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Rtdetr v2 R50vd Finetuned

This model is a fine-tuned version of PekingU/rtdetrv2r50vd on an unknown dataset. It achieves the following results on the evaluation set: Loss: 10.6387 Map: 0.4061 Map 50: 0.5534 Map 75: 0.4829 Map Small: 0.0 Map...

Sourcehuggingface.co/kweer/rtdetr_v2_r50vd_finetuned/tree/7445facd2be4c7c1706ce037a03b0f241906d9f2
KindOtherBase modelPekingU/rtdetr_v2_r50vdVersionRevision 7445facBgrade

Model source

Kind
Other
File size
164 MB
Base model
PekingU/rtdetr_v2_r50vd
Version
vRevision 7445fac
Updated
Oct 21, 2026
Downloads
9
Source
Hugging Face

Source description

rtdetr_v2_r50vd_finetuned

This model is a fine-tuned version of PekingU/rtdetr_v2_r50vd on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 10.6387
  • Map: 0.4061
  • Map 50: 0.5534
  • Map 75: 0.4829
  • Map Small: 0.0
  • Map Medium: 0.2252
  • Map Large: 0.4158
  • Mar 1: 0.4487
  • Mar 10: 0.6613
  • Mar 100: 0.7076
  • Mar Small: 0.0
  • Mar Medium: 0.5517
  • Mar Large: 0.7153
  • Map Bin: 0.7271
  • Mar Bin: 0.8391
  • Map Hand: 0.5457
  • Mar Hand: 0.8222
  • Map Not Bin: 0.1039
  • Mar Not Bin: 0.5818
  • Map Not Hand: 0.0011
  • Mar Not Hand: 0.5
  • Map Not Trash: 0.1534
  • Mar Not Trash: 0.531
  • Map Trash: 0.6285
  • Mar Trash: 0.7931
  • Map Trash Arm: 0.6832
  • Mar Trash Arm: 0.8857

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: 8
  • eval_batch_size: 8
  • 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: 500
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossMapMap 50Map 75Map SmallMap MediumMap LargeMar 1Mar 10Mar 100Mar SmallMar MediumMar LargeMap BinMar BinMap HandMar HandMap Not BinMar Not BinMap Not HandMar Not HandMap Not TrashMar Not TrashMap TrashMar TrashMap Trash ArmMar Trash Arm
161.05191.03899.26210.00620.01430.00490.00.00030.00690.01970.03710.04090.00.00560.0420.02880.18050.00580.02380.00.0-1.0-1.00.00050.01190.00210.02940.00.0
92.35322.07647.39040.05160.09220.04660.00.00040.05870.10540.25370.29050.00.01670.30190.1590.63910.13690.31750.00270.125-1.0-1.00.00020.02620.00880.18530.00170.45
51.74293.011425.96060.15330.24030.1570.00.01570.15750.20740.36220.49560.00.09170.52010.39030.81490.32250.74130.00070.225-1.0-1.00.00190.16430.2040.57790.00040.45
36.48714.015219.08160.25210.3410.26660.00.04680.26370.29350.44080.52940.00.12220.57610.66180.91260.42090.83020.12920.3125-1.0-1.00.01530.41670.28560.70440.00.0
29.20405.019015.54960.34480.47480.3780.00.08770.36420.34790.5620.64040.00.25830.68130.69660.87240.61930.82540.12990.5375-1.0-1.00.12990.450.49110.75740.00220.4
23.40386.022812.62220.35170.47860.37730.00.12530.37740.4080.5830.68950.00.3250.72960.69960.84830.54620.77620.13170.5875-1.0-1.00.12390.51190.59730.76320.01120.65
19.37157.026611.26980.42430.57640.46790.00.15930.44620.45770.67380.7420.00.40.77710.70090.84020.59570.81430.13750.6875-1.0-1.00.10960.50240.59490.75740.4070.85
16.91198.030410.43360.42070.56750.46260.00.16720.44960.47050.69350.71210.00.35560.74860.73380.84250.60570.79210.18160.5875-1.0-1.00.20030.51670.57470.73380.22840.8
15.41019.034210.45610.46570.65680.53780.00.19210.48250.53020.68220.74270.00.44720.76920.69630.82410.59380.78730.0860.6625-1.0-1.00.2090.54520.59920.73680.60960.9
14.364710.038010.16980.45380.60650.51070.00.16670.47790.52950.69120.74140.00.46940.76630.77250.87360.52910.78410.16040.65-1.0-1.00.21040.58330.60270.75740.4480.8

Framework versions

  • Transformers 5.12.1
  • Pytorch 2.11.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrimaryVersion 7445facd2be4c7c1706ce037a03b0f241906d9f2
huggingface.co/kweer/rtdetr_v2_r50vd_finetuned/tree/7445facd2be4c7c1706ce037a03b0f241906d9f2

Verified Oct 21

Model artifacts

1 artifact

model.safetensors

safetensors · 164 MB · SHA-256 9b9f948cca24…d7d9 · Hugging Face

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Source excerpts

3 excerpts
ReadmeAug 5huggingface.co/kweer/rtdetr_v2_r50vd_finetuned

--- library_name: transformers license: apache-2.0 base_model: PekingU/rtdetr_v2_r50vd tags: - generated_from_trainer model-index: - name: rtdetr_v2_r50vd_finetuned 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. --> # rtdetr_v2_r50vd_finetuned This model is a fine-tuned version of [PekingU/rtdetr_v2_r50vd](https://huggingface.co/PekingU/rtdetr_v2_r50vd) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 10.6387 - Map: 0.4061 - Map 50: 0.5534 - Map 75: 0.4829 - Map Small: 0.0 - Map Medium: 0.2252 - Map Large: 0.4158 - Mar 1: 0.4487 - Mar 10: 0.6613 - Mar 100: 0.7076 - Mar Small: 0.0 - Mar Medium: 0.5517 - Mar Large: 0.7153 - Map Bin: 0.7271 - Mar Bin: 0.8391 - Map Hand: 0.5457 - Mar Hand: 0.8222 - Map Not Bin: 0.1039 - Mar Not Bin: 0.5818 - Map Not Hand: 0.0011 - Mar Not Hand: 0.5 - Map Not Trash: 0.1534 - Mar Not Trash: 0.531 - Map Trash: 0.6285 - Mar Trash: 0.7931 - Map Trash Arm: 0.6832 - Mar Trash Arm: 0.8857 ## 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: 8 - eval_batch_size: 8 - 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: 500 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Bin | Mar Bin | Map Hand | Mar Hand | Map Not Bin | Mar Not Bin | Map Not Hand | Mar Not Hand | Map Not Trash | Mar Not Trash | Map Trash | Mar Trash | Map Trash Arm | Mar Trash Arm | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:-------:|:-------:|:--------:|:--------:|:-----------:|:-----------:|:------------:|:------------:|...

NoteOct 21huggingface.co/kweer/rtdetr_v2_r50vd_finetuned

Source context: 9 downloads · 0 likes · Pipeline object-detection · Library transformers · Repo kweer/rtdetr_v2_r50vd_finetuned

NoteAug 5huggingface.co/kweer/rtdetr_v2_r50vd_finetuned

Source context: 109 downloads · 0 likes · Pipeline object-detection · Library transformers · Repo kweer/rtdetr_v2_r50vd_finetuned