This model is a fine-tuned version of Roboflow/rf-detr-large on an unknown dataset. It achieves the following results on the evaluation set: Loss: 14.1509 Map: 0.6591 Map 50: 0.7654 Map 75: 0.7088 Map Small: 0.1129...
This model is a fine-tuned version of Roboflow/rf-detr-large on an unknown dataset. It achieves the following results on the evaluation set: Loss: 14.1509 Map: 0.6591 Map 50: 0.7654 Map 75: 0.7088 Map Small: 0.1129...
---
library_name: transformers
license: apache-2.0
base_model: Roboflow/rf-detr-large
tags:
- generated_from_trainer
model-index:
- name: rfdetr-roadsign-agree1-noaug
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. -->
# rfdetr-roadsign-agree1-noaug
This model is a fine-tuned version of [Roboflow/rf-detr-large](https://huggingface.co/Roboflow/rf-detr-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 14.1509
- Map: 0.6591
- Map 50: 0.7654
- Map 75: 0.7088
- Map Small: 0.1129
- Map Medium: 0.3168
- Map Large: 0.6689
- Mar 1: 0.774
- Mar 10: 0.8669
- Mar 100: 0.8737
- Mar Small: 0.125
- Mar Medium: 0.4479
- Mar Large: 0.8947
- Map Bus Stop: 0.9112
- Mar 100 Bus Stop: 0.9333
- Map Do Not Enter: 0.8602
- Mar 100 Do Not Enter: 0.8933
- Map Do Not Stop: 0.4045
- Mar 100 Do Not Stop: 0.7
- Map Do Not Turn L: 0.375
- Mar 100 Do Not Turn L: 0.8778
- Map Do Not Turn R: 0.8396
- Mar 100 Do Not Turn R: 0.95
- Map Do Not U Turn: 0.8067
- Mar 100 Do Not U Turn: 0.9273
- Map Enter Left Lane: 0.9835
- Mar 100 Enter Left Lane: 1.0
- Map Green Light: 0.6719
- Mar 100 Green Light: 0.7824
- Map Left Right Lane: 0.8216
- Mar 100 Left Right Lane: 0.975
- Map No Parking: 0.5445
- Mar 100 No Parking: 0.9333
- Map Parking: 0.6805
- Mar 100 Parking: 0.9
- Map Ped Crossing: 0.7957
- Mar 100 Ped Crossing: 0.9059
- Map Ped Zebra Cross: -1.0
- Mar 100 Ped Zebra Cross: -1.0
- Map Railway Crossing: 0.5294
- Mar 100 Railway Crossing: 0.95
- Map Red Light: 0.1564
- Mar 100 Red Light: 0.5368
- Map Stop: 0.9077
- Mar 100 Stop: 0.9538
- Map T Intersection L: 0.545
- Mar 100 T Intersection L: 0.9333
- Map Traffic Light: 0.3685
- Mar 100 Traffic Light: 0.7625
- Map U Turn: 0.9252
- Mar 100 U Turn: 0.95
- Map Warning: 0.7549
- Mar 100 Warning: 0.9087
- Map Yellow Light: 0.3009
- Mar 100 Yellow Light: 0.7
## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED wi...
