Model save

README.md

@@ -15,6 +15,62 @@ should probably proofread and complete it, then remove this comment. -->
 # SegFormer_b2_mappillary_
 
 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.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.9598
+- eval_mean_iou: 0.6780
+- eval_mean_accuracy: 0.7951
+- eval_overall_accuracy: 0.9391
+- eval_accuracy_construction--barrier--fence: 0.6674
+- eval_accuracy_construction--barrier--guard-rail: 0.7787
+- eval_accuracy_construction--barrier--other-barrier: 0.7093
+- eval_accuracy_construction--barrier--wall: 0.6692
+- eval_accuracy_construction--flat--road: 0.9505
+- eval_accuracy_construction--flat--service-lane: 0.5410
+- eval_accuracy_construction--flat--sidewalk: 0.9029
+- eval_accuracy_construction--structure--building: 0.9494
+- eval_accuracy_human--person: 0.8428
+- eval_accuracy_human--rider--bicyclist: 0.7374
+- eval_accuracy_marking--crosswalk-zebra: 0.8275
+- eval_accuracy_marking--general: 0.6969
+- eval_accuracy_nature--sky: 0.9902
+- eval_accuracy_nature--terrain: 0.8238
+- eval_accuracy_nature--vegetation: 0.9447
+- eval_accuracy_object--support--pole: 0.5732
+- eval_accuracy_object--support--traffic-sign-frame: 0.6710
+- eval_accuracy_object--traffic-light: 0.7524
+- eval_accuracy_object--traffic-sign--front: 0.8163
+- eval_accuracy_object--vehicle--bicycle: 0.7771
+- eval_accuracy_object--vehicle--bus: 0.8829
+- eval_accuracy_object--vehicle--car: 0.9659
+- eval_accuracy_object--vehicle--truck: 0.8158
+- eval_iou_construction--barrier--fence: 0.5508
+- eval_iou_construction--barrier--guard-rail: 0.6288
+- eval_iou_construction--barrier--other-barrier: 0.5638
+- eval_iou_construction--barrier--wall: 0.5354
+- eval_iou_construction--flat--road: 0.9129
+- eval_iou_construction--flat--service-lane: 0.4333
+- eval_iou_construction--flat--sidewalk: 0.7696
+- eval_iou_construction--structure--building: 0.8821
+- eval_iou_human--person: 0.6700
+- eval_iou_human--rider--bicyclist: 0.5363
+- eval_iou_marking--crosswalk-zebra: 0.7082
+- eval_iou_marking--general: 0.5822
+- eval_iou_nature--sky: 0.9811
+- eval_iou_nature--terrain: 0.6964
+- eval_iou_nature--vegetation: 0.8935
+- eval_iou_object--support--pole: 0.4515
+- eval_iou_object--support--traffic-sign-frame: 0.5508
+- eval_iou_object--traffic-light: 0.5782
+- eval_iou_object--traffic-sign--front: 0.7134
+- eval_iou_object--vehicle--bicycle: 0.5514
+- eval_iou_object--vehicle--bus: 0.7858
+- eval_iou_object--vehicle--car: 0.9004
+- eval_iou_object--vehicle--truck: 0.7182
+- eval_runtime: 1416.4555
+- eval_samples_per_second: 1.412
+- eval_steps_per_second: 0.706
+- epoch: 14.0
+- step: 31500
 
 ## Model description
 

model.safetensors

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 size 109508620

training_args.bin

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+oid sha256:5975ec05e6edbee8b05ecdf6745ceea1d99ea72f9c9f5447baa0e9de3e944815
 size 5368