Training in progress epoch 0

README.md

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+---
+license: other
+tags:
+- generated_from_keras_callback
+model-index:
+- name: MariaK/mit-b0-finetuned-sidewalks
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# MariaK/mit-b0-finetuned-sidewalks
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.4362
+- Validation Loss: 0.9804
+- Validation Mean Iou: 0.1752
+- Validation Mean Accuracy: 0.2219
+- Validation Overall Accuracy: 0.7360
+- Validation Accuracy Unlabeled: 0.0
+- Validation Accuracy Flat-road: 0.7417
+- Validation Accuracy Flat-sidewalk: 0.9512
+- Validation Accuracy Flat-crosswalk: 0.0213
+- Validation Accuracy Flat-cyclinglane: 0.3662
+- Validation Accuracy Flat-parkingdriveway: 0.1475
+- Validation Accuracy Flat-railtrack: nan
+- Validation Accuracy Flat-curb: 0.1397
+- Validation Accuracy Human-person: 0.0055
+- Validation Accuracy Human-rider: 0.0
+- Validation Accuracy Vehicle-car: 0.8653
+- Validation Accuracy Vehicle-truck: 0.0
+- Validation Accuracy Vehicle-bus: 0.0
+- Validation Accuracy Vehicle-tramtrain: nan
+- Validation Accuracy Vehicle-motorcycle: 0.0
+- Validation Accuracy Vehicle-bicycle: 0.0002
+- Validation Accuracy Vehicle-caravan: 0.0
+- Validation Accuracy Vehicle-cartrailer: 0.0
+- Validation Accuracy Construction-building: 0.7778
+- Validation Accuracy Construction-door: 0.0
+- Validation Accuracy Construction-wall: 0.3370
+- Validation Accuracy Construction-fenceguardrail: 0.0429
+- Validation Accuracy Construction-bridge: 0.0
+- Validation Accuracy Construction-tunnel: nan
+- Validation Accuracy Construction-stairs: 0.0
+- Validation Accuracy Object-pole: 0.0177
+- Validation Accuracy Object-trafficsign: 0.0
+- Validation Accuracy Object-trafficlight: 0.0
+- Validation Accuracy Nature-vegetation: 0.9324
+- Validation Accuracy Nature-terrain: 0.7967
+- Validation Accuracy Sky: 0.9157
+- Validation Accuracy Void-ground: 0.0
+- Validation Accuracy Void-dynamic: 0.0
+- Validation Accuracy Void-static: 0.0409
+- Validation Accuracy Void-unclear: 0.0
+- Validation Iou Unlabeled: 0.0
+- Validation Iou Flat-road: 0.5263
+- Validation Iou Flat-sidewalk: 0.7377
+- Validation Iou Flat-crosswalk: 0.0213
+- Validation Iou Flat-cyclinglane: 0.3517
+- Validation Iou Flat-parkingdriveway: 0.1232
+- Validation Iou Flat-railtrack: nan
+- Validation Iou Flat-curb: 0.1053
+- Validation Iou Human-person: 0.0055
+- Validation Iou Human-rider: 0.0
+- Validation Iou Vehicle-car: 0.6423
+- Validation Iou Vehicle-truck: 0.0
+- Validation Iou Vehicle-bus: 0.0
+- Validation Iou Vehicle-tramtrain: nan
+- Validation Iou Vehicle-motorcycle: 0.0
+- Validation Iou Vehicle-bicycle: 0.0002
+- Validation Iou Vehicle-caravan: 0.0
+- Validation Iou Vehicle-cartrailer: 0.0
+- Validation Iou Construction-building: 0.6012
+- Validation Iou Construction-door: 0.0
+- Validation Iou Construction-wall: 0.2315
+- Validation Iou Construction-fenceguardrail: 0.0424
+- Validation Iou Construction-bridge: 0.0
+- Validation Iou Construction-tunnel: nan
+- Validation Iou Construction-stairs: 0.0
+- Validation Iou Object-pole: 0.0163
+- Validation Iou Object-trafficsign: 0.0
+- Validation Iou Object-trafficlight: 0.0
+- Validation Iou Nature-vegetation: 0.7258
+- Validation Iou Nature-terrain: 0.6752
+- Validation Iou Sky: 0.7692
+- Validation Iou Void-ground: 0.0
+- Validation Iou Void-dynamic: 0.0
+- Validation Iou Void-static: 0.0321
+- Validation Iou Void-unclear: 0.0
+- Epoch: 0
+
+## 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:
+- optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Flat-road | Validation Accuracy Flat-sidewalk | Validation Accuracy Flat-crosswalk | Validation Accuracy Flat-cyclinglane | Validation Accuracy Flat-parkingdriveway | Validation Accuracy Flat-railtrack | Validation Accuracy Flat-curb | Validation Accuracy Human-person | Validation Accuracy Human-rider | Validation Accuracy Vehicle-car | Validation Accuracy Vehicle-truck | Validation Accuracy Vehicle-bus | Validation Accuracy Vehicle-tramtrain | Validation Accuracy Vehicle-motorcycle | Validation Accuracy Vehicle-bicycle | Validation Accuracy Vehicle-caravan | Validation Accuracy Vehicle-cartrailer | Validation Accuracy Construction-building | Validation Accuracy Construction-door | Validation Accuracy Construction-wall | Validation Accuracy Construction-fenceguardrail | Validation Accuracy Construction-bridge | Validation Accuracy Construction-tunnel | Validation Accuracy Construction-stairs | Validation Accuracy Object-pole | Validation Accuracy Object-trafficsign | Validation Accuracy Object-trafficlight | Validation Accuracy Nature-vegetation | Validation Accuracy Nature-terrain | Validation Accuracy Sky | Validation Accuracy Void-ground | Validation Accuracy Void-dynamic | Validation Accuracy Void-static | Validation Accuracy Void-unclear | Validation Iou Unlabeled | Validation Iou Flat-road | Validation Iou Flat-sidewalk | Validation Iou Flat-crosswalk | Validation Iou Flat-cyclinglane | Validation Iou Flat-parkingdriveway | Validation Iou Flat-railtrack | Validation Iou Flat-curb | Validation Iou Human-person | Validation Iou Human-rider | Validation Iou Vehicle-car | Validation Iou Vehicle-truck | Validation Iou Vehicle-bus | Validation Iou Vehicle-tramtrain | Validation Iou Vehicle-motorcycle | Validation Iou Vehicle-bicycle | Validation Iou Vehicle-caravan | Validation Iou Vehicle-cartrailer | Validation Iou Construction-building | Validation Iou Construction-door | Validation Iou Construction-wall | Validation Iou Construction-fenceguardrail | Validation Iou Construction-bridge | Validation Iou Construction-tunnel | Validation Iou Construction-stairs | Validation Iou Object-pole | Validation Iou Object-trafficsign | Validation Iou Object-trafficlight | Validation Iou Nature-vegetation | Validation Iou Nature-terrain | Validation Iou Sky | Validation Iou Void-ground | Validation Iou Void-dynamic | Validation Iou Void-static | Validation Iou Void-unclear | Epoch |
+|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------------:|:----------------------------------:|:------------------------------------:|:----------------------------------------:|:----------------------------------:|:-----------------------------:|:--------------------------------:|:-------------------------------:|:-------------------------------:|:---------------------------------:|:-------------------------------:|:-------------------------------------:|:--------------------------------------:|:-----------------------------------:|:-----------------------------------:|:--------------------------------------:|:-----------------------------------------:|:-------------------------------------:|:-------------------------------------:|:-----------------------------------------------:|:---------------------------------------:|:---------------------------------------:|:---------------------------------------:|:-------------------------------:|:--------------------------------------:|:---------------------------------------:|:-------------------------------------:|:----------------------------------:|:-----------------------:|:-------------------------------:|:--------------------------------:|:-------------------------------:|:--------------------------------:|:------------------------:|:------------------------:|:----------------------------:|:-----------------------------:|:-------------------------------:|:-----------------------------------:|:-----------------------------:|:------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:----------------------------:|:--------------------------:|:--------------------------------:|:---------------------------------:|:------------------------------:|:------------------------------:|:---------------------------------:|:------------------------------------:|:--------------------------------:|:--------------------------------:|:------------------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------:|:--------------------------:|:---------------------------------:|:----------------------------------:|:--------------------------------:|:-----------------------------:|:------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:|:-----:|
+| 1.4362     | 0.9804          | 0.1752              | 0.2219                   | 0.7360                      | 0.0                           | 0.7417                        | 0.9512                            | 0.0213                             | 0.3662                               | 0.1475                                   | nan                                | 0.1397                        | 0.0055                           | 0.0                             | 0.8653                          | 0.0                               | 0.0                             | nan                                   | 0.0                                    | 0.0002                              | 0.0                                 | 0.0                                    | 0.7778                                    | 0.0                                   | 0.3370                                | 0.0429                                          | 0.0                                     | nan                                     | 0.0                                     | 0.0177                          | 0.0                                    | 0.0                                     | 0.9324                                | 0.7967                             | 0.9157                  | 0.0                             | 0.0                              | 0.0409                          | 0.0                              | 0.0                      | 0.5263                   | 0.7377                       | 0.0213                        | 0.3517                          | 0.1232                              | nan                           | 0.1053                   | 0.0055                      | 0.0                        | 0.6423                     | 0.0                          | 0.0                        | nan                              | 0.0                               | 0.0002                         | 0.0                            | 0.0                               | 0.6012                               | 0.0                              | 0.2315                           | 0.0424                                     | 0.0                                | nan                                | 0.0                                | 0.0163                     | 0.0                               | 0.0                                | 0.7258                           | 0.6752                        | 0.7692             | 0.0                        | 0.0                         | 0.0321                     | 0.0                         | 0     |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- TensorFlow 2.9.2
+- Datasets 2.8.0
+- Tokenizers 0.13.2

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": "4.25.1"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "SegformerFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

tf_model.h5

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+oid sha256:2bdf624fd0787762fbf84d767d93e4281b4bfb5b86339ddeddcabb3e6a57ff6f
+size 15167588