add model
Browse files- README.md +102 -0
- config.json +144 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: mit-b0-finetuned-sidewalk-semantic
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# mit-b0-finetuned-sidewalk-semantic
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.2125
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- Validation Loss: 0.5151
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- Epoch: 49
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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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- optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 2.0785 | 1.1753 | 0 |
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| 1.1312 | 0.8807 | 1 |
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| 0.9315 | 0.7585 | 2 |
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| 0.7952 | 0.7261 | 3 |
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| 0.7273 | 0.6701 | 4 |
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| 0.6603 | 0.6396 | 5 |
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| 0.6198 | 0.6238 | 6 |
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| 0.5958 | 0.5925 | 7 |
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| 0.5378 | 0.5714 | 8 |
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| 0.5236 | 0.5786 | 9 |
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| 0.4960 | 0.5588 | 10 |
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| 0.4633 | 0.5624 | 11 |
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| 0.4562 | 0.5450 | 12 |
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| 0.4167 | 0.5438 | 13 |
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| 0.4100 | 0.5248 | 14 |
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| 0.3947 | 0.5354 | 15 |
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| 0.3867 | 0.5069 | 16 |
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| 0.3803 | 0.5285 | 17 |
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| 0.3696 | 0.5318 | 18 |
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| 0.3386 | 0.5162 | 19 |
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| 0.3349 | 0.5312 | 20 |
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| 0.3233 | 0.5304 | 21 |
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| 0.3328 | 0.5178 | 22 |
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| 0.3140 | 0.5131 | 23 |
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| 0.3081 | 0.5049 | 24 |
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| 0.3046 | 0.5011 | 25 |
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| 0.3209 | 0.5197 | 26 |
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| 0.2966 | 0.5151 | 27 |
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| 0.2829 | 0.5166 | 28 |
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| 0.2968 | 0.5210 | 29 |
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| 0.2818 | 0.5300 | 30 |
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| 0.2739 | 0.5221 | 31 |
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| 0.2602 | 0.5340 | 32 |
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| 0.2570 | 0.5124 | 33 |
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| 0.2557 | 0.5234 | 34 |
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| 0.2593 | 0.5098 | 35 |
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| 0.2582 | 0.5329 | 36 |
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| 0.2439 | 0.5373 | 37 |
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| 0.2413 | 0.5141 | 38 |
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| 0.2423 | 0.5210 | 39 |
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| 0.2340 | 0.5043 | 40 |
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| 0.2244 | 0.5300 | 41 |
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| 0.2246 | 0.4978 | 42 |
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| 0.2270 | 0.5385 | 43 |
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| 0.2254 | 0.5125 | 44 |
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| 0.2176 | 0.5510 | 45 |
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| 0.2194 | 0.5384 | 46 |
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| 0.2136 | 0.5186 | 47 |
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| 0.2121 | 0.5356 | 48 |
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| 0.2125 | 0.5151 | 49 |
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### Framework versions
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- Transformers 4.21.0.dev0
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- TensorFlow 2.8.0
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "nvidia/mit-b0",
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"architectures": [
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"SegformerForSemanticSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"decoder_hidden_size": 256,
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"depths": [
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2,
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2,
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2,
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2
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],
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"downsampling_rates": [
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1,
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4,
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8,
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16
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],
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_sizes": [
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32,
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64,
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160,
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256
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],
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"id2label": {
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"0": "unlabeled",
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"1": "flat-road",
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"2": "flat-sidewalk",
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"3": "flat-crosswalk",
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"4": "flat-cyclinglane",
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"5": "flat-parkingdriveway",
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"6": "flat-railtrack",
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"7": "flat-curb",
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"8": "human-person",
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"9": "human-rider",
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"10": "vehicle-car",
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"11": "vehicle-truck",
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"12": "vehicle-bus",
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"13": "vehicle-tramtrain",
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"14": "vehicle-motorcycle",
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"15": "vehicle-bicycle",
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"16": "vehicle-caravan",
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"17": "vehicle-cartrailer",
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"18": "construction-building",
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"19": "construction-door",
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"20": "construction-wall",
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"21": "construction-fenceguardrail",
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"22": "construction-bridge",
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"23": "construction-tunnel",
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"24": "construction-stairs",
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"25": "object-pole",
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"26": "object-trafficsign",
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"27": "object-trafficlight",
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"28": "nature-vegetation",
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"29": "nature-terrain",
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"30": "sky",
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"31": "void-ground",
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"32": "void-dynamic",
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"33": "void-static",
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"34": "void-unclear"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"construction-bridge": 22,
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"construction-building": 18,
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"construction-door": 19,
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"construction-fenceguardrail": 21,
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"construction-stairs": 24,
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"construction-tunnel": 23,
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"construction-wall": 20,
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"flat-crosswalk": 3,
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"flat-curb": 7,
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"flat-cyclinglane": 4,
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"flat-parkingdriveway": 5,
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"flat-railtrack": 6,
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"flat-road": 1,
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"flat-sidewalk": 2,
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"human-person": 8,
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"human-rider": 9,
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"nature-terrain": 29,
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"nature-vegetation": 28,
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"object-pole": 25,
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"object-trafficlight": 27,
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"object-trafficsign": 26,
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"sky": 30,
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"unlabeled": 0,
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"vehicle-bicycle": 15,
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"vehicle-bus": 12,
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"vehicle-car": 10,
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"vehicle-caravan": 16,
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"vehicle-cartrailer": 17,
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"vehicle-motorcycle": 14,
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"vehicle-tramtrain": 13,
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"vehicle-truck": 11,
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"void-dynamic": 32,
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"void-ground": 31,
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"void-static": 33,
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"void-unclear": 34
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},
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"layer_norm_eps": 1e-06,
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"mlp_ratios": [
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4,
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4,
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4,
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4
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],
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"model_type": "segformer",
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"num_attention_heads": [
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1,
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2,
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5,
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8
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],
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"num_channels": 3,
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"num_encoder_blocks": 4,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"reshape_last_stage": true,
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"semantic_loss_ignore_index": 255,
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"sr_ratios": [
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8,
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4,
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2,
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1
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],
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"strides": [
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4,
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2,
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2,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.21.0.dev0"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:fba28ceaa44bba99481b676c803adfd9ed7e20f186595b34bd9b551f5f3a288a
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size 15167588
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