End of training
Browse files- README.md +50 -0
- config.json +144 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: other
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base_model: nvidia/mit-b5
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tags:
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- vision
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- image-segmentation
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- generated_from_trainer
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model-index:
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- name: segformer-b0-finetuned-segments-sidewalk-2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# segformer-b0-finetuned-segments-sidewalk-2
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This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the segments/sidewalk-semantic dataset.
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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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- learning_rate: 6e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "nvidia/mit-b5",
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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": 768,
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"depths": [
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3,
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6,
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40,
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3
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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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64,
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128,
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320,
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512
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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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],
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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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],
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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": "4.33.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:81f4d15e3d02edb6babf620c71251fecc93cb03da2eda5cb637dda0c3441ae38
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size 338878537
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a5f50a3b34afc04d7c75c34347089b580f9f8cc4777d7ef0ae667e403b8e58d
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size 4091
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