End of training

README.md

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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b0-finetuned-segments-sidewalk-123
+  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-b0-finetuned-segments-sidewalk-123
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5603
+- eval_mean_iou: 0.3194
+- eval_mean_accuracy: 0.3797
+- eval_overall_accuracy: 0.8649
+- eval_accuracy_unlabeled: nan
+- eval_accuracy_flat-road: 0.8652
+- eval_accuracy_flat-sidewalk: 0.9642
+- eval_accuracy_flat-crosswalk: 0.6083
+- eval_accuracy_flat-cyclinglane: 0.7173
+- eval_accuracy_flat-parkingdriveway: 0.5189
+- eval_accuracy_flat-railtrack: 0.0
+- eval_accuracy_flat-curb: 0.6089
+- eval_accuracy_human-person: 0.8421
+- eval_accuracy_human-rider: 0.0
+- eval_accuracy_vehicle-car: 0.9347
+- eval_accuracy_vehicle-truck: 0.0
+- eval_accuracy_vehicle-bus: 0.0
+- eval_accuracy_vehicle-tramtrain: 0.0
+- eval_accuracy_vehicle-motorcycle: 0.0
+- eval_accuracy_vehicle-bicycle: 0.7877
+- eval_accuracy_vehicle-caravan: 0.0
+- eval_accuracy_vehicle-cartrailer: 0.0
+- eval_accuracy_construction-building: 0.9288
+- eval_accuracy_construction-door: 0.0851
+- eval_accuracy_construction-wall: 0.4696
+- eval_accuracy_construction-fenceguardrail: 0.4756
+- eval_accuracy_construction-bridge: 0.0
+- eval_accuracy_construction-tunnel: nan
+- eval_accuracy_construction-stairs: 0.0047
+- eval_accuracy_object-pole: 0.3599
+- eval_accuracy_object-trafficsign: 0.0028
+- eval_accuracy_object-trafficlight: 0.0
+- eval_accuracy_nature-vegetation: 0.9419
+- eval_accuracy_nature-terrain: 0.8921
+- eval_accuracy_sky: 0.9773
+- eval_accuracy_void-ground: 0.0003
+- eval_accuracy_void-dynamic: 0.1852
+- eval_accuracy_void-static: 0.3603
+- eval_accuracy_void-unclear: 0.0
+- eval_iou_unlabeled: nan
+- eval_iou_flat-road: 0.7774
+- eval_iou_flat-sidewalk: 0.8659
+- eval_iou_flat-crosswalk: 0.4889
+- eval_iou_flat-cyclinglane: 0.6488
+- eval_iou_flat-parkingdriveway: 0.4072
+- eval_iou_flat-railtrack: 0.0
+- eval_iou_flat-curb: 0.4944
+- eval_iou_human-person: 0.6064
+- eval_iou_human-rider: 0.0
+- eval_iou_vehicle-car: 0.8283
+- eval_iou_vehicle-truck: 0.0
+- eval_iou_vehicle-bus: 0.0
+- eval_iou_vehicle-tramtrain: 0.0
+- eval_iou_vehicle-motorcycle: 0.0
+- eval_iou_vehicle-bicycle: 0.5105
+- eval_iou_vehicle-caravan: 0.0
+- eval_iou_vehicle-cartrailer: 0.0
+- eval_iou_construction-building: 0.7458
+- eval_iou_construction-door: 0.0760
+- eval_iou_construction-wall: 0.4006
+- eval_iou_construction-fenceguardrail: 0.3288
+- eval_iou_construction-bridge: 0.0
+- eval_iou_construction-tunnel: nan
+- eval_iou_construction-stairs: 0.0047
+- eval_iou_object-pole: 0.2789
+- eval_iou_object-trafficsign: 0.0027
+- eval_iou_object-trafficlight: 0.0
+- eval_iou_nature-vegetation: 0.8781
+- eval_iou_nature-terrain: 0.8170
+- eval_iou_sky: 0.9417
+- eval_iou_void-ground: 0.0002
+- eval_iou_void-dynamic: 0.1706
+- eval_iou_void-static: 0.2686
+- eval_iou_void-unclear: 0.0
+- eval_runtime: 246.8492
+- eval_samples_per_second: 0.81
+- eval_steps_per_second: 0.405
+- epoch: 15.45
+- step: 6180
+
+## 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: 6e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.2.0+cpu
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "unlabeled",
+    "1": "flat-road",
+    "2": "flat-sidewalk",
+    "3": "flat-crosswalk",
+    "4": "flat-cyclinglane",
+    "5": "flat-parkingdriveway",
+    "6": "flat-railtrack",
+    "7": "flat-curb",
+    "8": "human-person",
+    "9": "human-rider",
+    "10": "vehicle-car",
+    "11": "vehicle-truck",
+    "12": "vehicle-bus",
+    "13": "vehicle-tramtrain",
+    "14": "vehicle-motorcycle",
+    "15": "vehicle-bicycle",
+    "16": "vehicle-caravan",
+    "17": "vehicle-cartrailer",
+    "18": "construction-building",
+    "19": "construction-door",
+    "20": "construction-wall",
+    "21": "construction-fenceguardrail",
+    "22": "construction-bridge",
+    "23": "construction-tunnel",
+    "24": "construction-stairs",
+    "25": "object-pole",
+    "26": "object-trafficsign",
+    "27": "object-trafficlight",
+    "28": "nature-vegetation",
+    "29": "nature-terrain",
+    "30": "sky",
+    "31": "void-ground",
+    "32": "void-dynamic",
+    "33": "void-static",
+    "34": "void-unclear"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "construction-bridge": 22,
+    "construction-building": 18,
+    "construction-door": 19,
+    "construction-fenceguardrail": 21,
+    "construction-stairs": 24,
+    "construction-tunnel": 23,
+    "construction-wall": 20,
+    "flat-crosswalk": 3,
+    "flat-curb": 7,
+    "flat-cyclinglane": 4,
+    "flat-parkingdriveway": 5,
+    "flat-railtrack": 6,
+    "flat-road": 1,
+    "flat-sidewalk": 2,
+    "human-person": 8,
+    "human-rider": 9,
+    "nature-terrain": 29,
+    "nature-vegetation": 28,
+    "object-pole": 25,
+    "object-trafficlight": 27,
+    "object-trafficsign": 26,
+    "sky": 30,
+    "unlabeled": 0,
+    "vehicle-bicycle": 15,
+    "vehicle-bus": 12,
+    "vehicle-car": 10,
+    "vehicle-caravan": 16,
+    "vehicle-cartrailer": 17,
+    "vehicle-motorcycle": 14,
+    "vehicle-tramtrain": 13,
+    "vehicle-truck": 11,
+    "void-dynamic": 32,
+    "void-ground": 31,
+    "void-static": 33,
+    "void-unclear": 34
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0"
+}

model.safetensors

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runs/Feb05_22-52-57_Prashant/events.out.tfevents.1707153919.Prashant.24680.0

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training_args.bin

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