File size: 3,630 Bytes
2c16c9e 7fb92c1 2c16c9e 7fb92c1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 |
---
library_name: transformers
license: other
base_model: nvidia/segformer-b2-finetuned-cityscapes-1024-1024
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: SegFormer_b2
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. -->
# SegFormer_b2
This model is a fine-tuned version of [nvidia/segformer-b2-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b2-finetuned-cityscapes-1024-1024) on the Cityscapes dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2516
- eval_mean_iou: 0.3875
- eval_mean_accuracy: 0.5066
- eval_overall_accuracy: 0.9043
- eval_accuracy_unlabeled: nan
- eval_accuracy_ego vehicle: nan
- eval_accuracy_rectification border: nan
- eval_accuracy_out of roi: nan
- eval_accuracy_static: nan
- eval_accuracy_dynamic: nan
- eval_accuracy_ground: nan
- eval_accuracy_road: 0.9832
- eval_accuracy_sidewalk: 0.8421
- eval_accuracy_parking: nan
- eval_accuracy_rail track: nan
- eval_accuracy_building: 0.9158
- eval_accuracy_wall: 0.0
- eval_accuracy_fence: 0.0
- eval_accuracy_guard rail: nan
- eval_accuracy_bridge: nan
- eval_accuracy_tunnel: nan
- eval_accuracy_pole: 0.5362
- eval_accuracy_polegroup: nan
- eval_accuracy_traffic light: 0.5814
- eval_accuracy_traffic sign: 0.7376
- eval_accuracy_vegetation: 0.9188
- eval_accuracy_terrain: 0.6737
- eval_accuracy_sky: 0.9746
- eval_accuracy_person: 0.7788
- eval_accuracy_rider: 0.0
- eval_accuracy_car: 0.9354
- eval_accuracy_truck: 0.0
- eval_accuracy_bus: 0.0
- eval_accuracy_caravan: nan
- eval_accuracy_trailer: nan
- eval_accuracy_train: 0.0
- eval_accuracy_motorcycle: 0.0
- eval_accuracy_bicycle: 0.7472
- eval_accuracy_license plate: nan
- eval_iou_unlabeled: nan
- eval_iou_ego vehicle: nan
- eval_iou_rectification border: nan
- eval_iou_out of roi: nan
- eval_iou_static: 0.0
- eval_iou_dynamic: nan
- eval_iou_ground: nan
- eval_iou_road: 0.9649
- eval_iou_sidewalk: 0.7403
- eval_iou_parking: nan
- eval_iou_rail track: nan
- eval_iou_building: 0.8430
- eval_iou_wall: 0.0
- eval_iou_fence: 0.0
- eval_iou_guard rail: nan
- eval_iou_bridge: nan
- eval_iou_tunnel: nan
- eval_iou_pole: 0.3619
- eval_iou_polegroup: nan
- eval_iou_traffic light: 0.4506
- eval_iou_traffic sign: 0.5317
- eval_iou_vegetation: 0.8647
- eval_iou_terrain: 0.4610
- eval_iou_sky: 0.8806
- eval_iou_person: 0.5967
- eval_iou_rider: 0.0
- eval_iou_car: 0.8756
- eval_iou_truck: 0.0
- eval_iou_bus: 0.0
- eval_iou_caravan: nan
- eval_iou_trailer: nan
- eval_iou_train: 0.0
- eval_iou_motorcycle: 0.0
- eval_iou_bicycle: 0.5665
- eval_iou_license plate: 0.0
- eval_runtime: 185.4692
- eval_samples_per_second: 2.696
- eval_steps_per_second: 0.674
- epoch: 20.4301
- step: 3800
## 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: 0.0006
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch 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: 100
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
|