Training in progress epoch 0

README.md

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+---
+license: other
+tags:
+- generated_from_keras_callback
+model-index:
+- name: nateraw/mit-b0-finetuned-sidewalks-v2
+  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. -->
+
+# nateraw/mit-b0-finetuned-sidewalks-v2
+
+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: 1.4089
+- Validation Loss: 0.8220
+- Validation Mean Iou: 0.1975
+- Validation Mean Accuracy: 0.2427
+- Validation Overall Accuracy: 0.7701
+- Validation Per Category Iou: [0.         0.58353931 0.7655921  0.04209491 0.53135026 0.11779776
+        nan 0.07709853 0.15950712 0.         0.69634813 0.
+ 0.         0.         0.         0.         0.         0.
+ 0.61456822 0.         0.24971248 0.27129675 0.                nan
+ 0.         0.07697324 0.         0.         0.78576516 0.61267064
+ 0.84564576 0.         0.         0.08904216 0.        ]
+- Validation Per Category Accuracy: [0.         0.88026971 0.93475302 0.04216372 0.5484085  0.13285614
+        nan 0.08669707 0.19044773 0.         0.90089024 0.
+ 0.         0.         0.         0.         0.         0.
+ 0.76783975 0.         0.42102101 0.28659817 0.                nan
+ 0.         0.08671771 0.         0.         0.89590301 0.74932576
+ 0.9434814  0.         0.         0.14245566 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 Per Category Iou                                                                                                                                                                                                                                                                                                                                                             | Validation Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                        | Epoch |
+|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----:|
+| 1.4089     | 0.8220          | 0.1975              | 0.2427                   | 0.7701                      | [0.         0.58353931 0.7655921  0.04209491 0.53135026 0.11779776
+        nan 0.07709853 0.15950712 0.         0.69634813 0.
+ 0.         0.         0.         0.         0.         0.
+ 0.61456822 0.         0.24971248 0.27129675 0.                nan
+ 0.         0.07697324 0.         0.         0.78576516 0.61267064
+ 0.84564576 0.         0.         0.08904216 0.        ] | [0.         0.88026971 0.93475302 0.04216372 0.5484085  0.13285614
+        nan 0.08669707 0.19044773 0.         0.90089024 0.
+ 0.         0.         0.         0.         0.         0.
+ 0.76783975 0.         0.42102101 0.28659817 0.                nan
+ 0.         0.08671771 0.         0.         0.89590301 0.74932576
+ 0.9434814  0.         0.         0.14245566 0.        ] | 0     |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- TensorFlow 2.9.2
+- Datasets 2.7.0
+- 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": "4.24.0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "SegformerFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "reduce_labels": false,
+  "resample": 2,
+  "size": 512
+}

tf_model.h5

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+oid sha256:4b9a22e666e272a5bbacc00e76192c77981d2cd2331ed7c78c9ff5784be56b5a
+size 15167588