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--- |
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library_name: transformers |
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license: other |
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base_model: nvidia/segformer-b2-finetuned-cityscapes-1024-1024 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SegFormer_b2_mappillary_ |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SegFormer_b2_mappillary_ |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.9598 |
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- eval_mean_iou: 0.6780 |
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- eval_mean_accuracy: 0.7951 |
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- eval_overall_accuracy: 0.9391 |
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- eval_accuracy_construction--barrier--fence: 0.6674 |
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- eval_accuracy_construction--barrier--guard-rail: 0.7787 |
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- eval_accuracy_construction--barrier--other-barrier: 0.7093 |
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- eval_accuracy_construction--barrier--wall: 0.6692 |
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- eval_accuracy_construction--flat--road: 0.9505 |
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- eval_accuracy_construction--flat--service-lane: 0.5410 |
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- eval_accuracy_construction--flat--sidewalk: 0.9029 |
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- eval_accuracy_construction--structure--building: 0.9494 |
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- eval_accuracy_human--person: 0.8428 |
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- eval_accuracy_human--rider--bicyclist: 0.7374 |
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- eval_accuracy_marking--crosswalk-zebra: 0.8275 |
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- eval_accuracy_marking--general: 0.6969 |
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- eval_accuracy_nature--sky: 0.9902 |
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- eval_accuracy_nature--terrain: 0.8238 |
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- eval_accuracy_nature--vegetation: 0.9447 |
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- eval_accuracy_object--support--pole: 0.5732 |
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- eval_accuracy_object--support--traffic-sign-frame: 0.6710 |
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- eval_accuracy_object--traffic-light: 0.7524 |
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- eval_accuracy_object--traffic-sign--front: 0.8163 |
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- eval_accuracy_object--vehicle--bicycle: 0.7771 |
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- eval_accuracy_object--vehicle--bus: 0.8829 |
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- eval_accuracy_object--vehicle--car: 0.9659 |
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- eval_accuracy_object--vehicle--truck: 0.8158 |
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- eval_iou_construction--barrier--fence: 0.5508 |
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- eval_iou_construction--barrier--guard-rail: 0.6288 |
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- eval_iou_construction--barrier--other-barrier: 0.5638 |
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- eval_iou_construction--barrier--wall: 0.5354 |
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- eval_iou_construction--flat--road: 0.9129 |
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- eval_iou_construction--flat--service-lane: 0.4333 |
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- eval_iou_construction--flat--sidewalk: 0.7696 |
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- eval_iou_construction--structure--building: 0.8821 |
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- eval_iou_human--person: 0.6700 |
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- eval_iou_human--rider--bicyclist: 0.5363 |
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- eval_iou_marking--crosswalk-zebra: 0.7082 |
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- eval_iou_marking--general: 0.5822 |
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- eval_iou_nature--sky: 0.9811 |
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- eval_iou_nature--terrain: 0.6964 |
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- eval_iou_nature--vegetation: 0.8935 |
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- eval_iou_object--support--pole: 0.4515 |
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- eval_iou_object--support--traffic-sign-frame: 0.5508 |
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- eval_iou_object--traffic-light: 0.5782 |
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- eval_iou_object--traffic-sign--front: 0.7134 |
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- eval_iou_object--vehicle--bicycle: 0.5514 |
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- eval_iou_object--vehicle--bus: 0.7858 |
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- eval_iou_object--vehicle--car: 0.9004 |
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- eval_iou_object--vehicle--truck: 0.7182 |
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- eval_runtime: 1416.4555 |
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- eval_samples_per_second: 1.412 |
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- eval_steps_per_second: 0.706 |
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- epoch: 14.0 |
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- step: 31500 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 9e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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