Vrjb commited on
Commit
51b4e0e
·
verified ·
1 Parent(s): d367a44

Model save

Browse files
Files changed (4) hide show
  1. README.md +109 -0
  2. config.json +120 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: nvidia/segformer-b2-finetuned-cityscapes-1024-1024
5
+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: SegFormer_b2_mappillary_
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # SegFormer_b2_mappillary_
16
+
17
+ This model is a fine-tuned version of [nvidia/segformer-b2-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b2-finetuned-cityscapes-1024-1024) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - epoch: 7.1111
20
+ - eval_accuracy_construction--barrier--fence: 0.6884
21
+ - eval_accuracy_construction--barrier--guard-rail: 0.8285
22
+ - eval_accuracy_construction--barrier--other-barrier: 0.6796
23
+ - eval_accuracy_construction--barrier--wall: 0.6617
24
+ - eval_accuracy_construction--flat--road: 0.9450
25
+ - eval_accuracy_construction--flat--service-lane: 0.6045
26
+ - eval_accuracy_construction--flat--sidewalk: 0.9036
27
+ - eval_accuracy_construction--structure--building: 0.9448
28
+ - eval_accuracy_human--person: 0.8152
29
+ - eval_accuracy_human--rider--bicyclist: 0.7298
30
+ - eval_accuracy_marking--crosswalk-zebra: 0.8040
31
+ - eval_accuracy_marking--general: 0.6630
32
+ - eval_accuracy_nature--sky: 0.9894
33
+ - eval_accuracy_nature--terrain: 0.7920
34
+ - eval_accuracy_nature--vegetation: 0.9467
35
+ - eval_accuracy_object--support--pole: 0.5267
36
+ - eval_accuracy_object--support--traffic-sign-frame: 0.6493
37
+ - eval_accuracy_object--traffic-light: 0.7177
38
+ - eval_accuracy_object--traffic-sign--front: 0.7995
39
+ - eval_accuracy_object--vehicle--bicycle: 0.7409
40
+ - eval_accuracy_object--vehicle--bus: 0.8505
41
+ - eval_accuracy_object--vehicle--car: 0.9596
42
+ - eval_accuracy_object--vehicle--truck: 0.7913
43
+ - eval_iou_construction--barrier--fence: 0.5326
44
+ - eval_iou_construction--barrier--guard-rail: 0.6142
45
+ - eval_iou_construction--barrier--other-barrier: 0.5604
46
+ - eval_iou_construction--barrier--wall: 0.5195
47
+ - eval_iou_construction--flat--road: 0.9074
48
+ - eval_iou_construction--flat--service-lane: 0.4444
49
+ - eval_iou_construction--flat--sidewalk: 0.7564
50
+ - eval_iou_construction--structure--building: 0.8785
51
+ - eval_iou_human--person: 0.6633
52
+ - eval_iou_human--rider--bicyclist: 0.5386
53
+ - eval_iou_marking--crosswalk-zebra: 0.6628
54
+ - eval_iou_marking--general: 0.5555
55
+ - eval_iou_nature--sky: 0.9801
56
+ - eval_iou_nature--terrain: 0.6805
57
+ - eval_iou_nature--vegetation: 0.8897
58
+ - eval_iou_object--support--pole: 0.4260
59
+ - eval_iou_object--support--traffic-sign-frame: 0.5314
60
+ - eval_iou_object--traffic-light: 0.5586
61
+ - eval_iou_object--traffic-sign--front: 0.6967
62
+ - eval_iou_object--vehicle--bicycle: 0.5583
63
+ - eval_iou_object--vehicle--bus: 0.7226
64
+ - eval_iou_object--vehicle--car: 0.8913
65
+ - eval_iou_object--vehicle--truck: 0.6813
66
+ - eval_loss: 0.9738
67
+ - eval_mean_accuracy: 0.7840
68
+ - eval_mean_iou: 0.6630
69
+ - eval_overall_accuracy: 0.9356
70
+ - eval_runtime: 1231.0899
71
+ - eval_samples_per_second: 1.625
72
+ - eval_steps_per_second: 0.812
73
+ - step: 16000
74
+
75
+ ## Model description
76
+
77
+ More information needed
78
+
79
+ ## Intended uses & limitations
80
+
81
+ More information needed
82
+
83
+ ## Training and evaluation data
84
+
85
+ More information needed
86
+
87
+ ## Training procedure
88
+
89
+ ### Training hyperparameters
90
+
91
+ The following hyperparameters were used during training:
92
+ - learning_rate: 5e-05
93
+ - train_batch_size: 2
94
+ - eval_batch_size: 2
95
+ - seed: 42
96
+ - gradient_accumulation_steps: 4
97
+ - total_train_batch_size: 8
98
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
99
+ - lr_scheduler_type: linear
100
+ - lr_scheduler_warmup_steps: 1000
101
+ - num_epochs: 30
102
+ - mixed_precision_training: Native AMP
103
+
104
+ ### Framework versions
105
+
106
+ - Transformers 4.48.1
107
+ - Pytorch 2.1.2+cu121
108
+ - Datasets 3.2.0
109
+ - Tokenizers 0.21.0
config.json ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nvidia/segformer-b2-finetuned-cityscapes-1024-1024",
3
+ "architectures": [
4
+ "SegformerForSemanticSegmentation"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "classifier_dropout_prob": 0.1,
8
+ "decoder_hidden_size": 768,
9
+ "depths": [
10
+ 3,
11
+ 4,
12
+ 6,
13
+ 3
14
+ ],
15
+ "downsampling_rates": [
16
+ 1,
17
+ 4,
18
+ 8,
19
+ 16
20
+ ],
21
+ "drop_path_rate": 0.1,
22
+ "hidden_act": "gelu",
23
+ "hidden_dropout_prob": 0.0,
24
+ "hidden_sizes": [
25
+ 64,
26
+ 128,
27
+ 320,
28
+ 512
29
+ ],
30
+ "id2label": {
31
+ "0": "construction--barrier--fence",
32
+ "1": "construction--barrier--guard-rail",
33
+ "2": "construction--barrier--other-barrier",
34
+ "3": "construction--barrier--wall",
35
+ "4": "construction--flat--road",
36
+ "5": "construction--flat--service-lane",
37
+ "6": "construction--flat--sidewalk",
38
+ "7": "construction--structure--building",
39
+ "8": "human--person",
40
+ "9": "human--rider--bicyclist",
41
+ "10": "marking--crosswalk-zebra",
42
+ "11": "marking--general",
43
+ "12": "nature--sky",
44
+ "13": "nature--terrain",
45
+ "14": "nature--vegetation",
46
+ "15": "object--support--pole",
47
+ "16": "object--support--traffic-sign-frame",
48
+ "17": "object--traffic-light",
49
+ "18": "object--traffic-sign--front",
50
+ "19": "object--vehicle--bicycle",
51
+ "20": "object--vehicle--bus",
52
+ "21": "object--vehicle--car",
53
+ "22": "object--vehicle--truck"
54
+ },
55
+ "image_size": 224,
56
+ "initializer_range": 0.02,
57
+ "label2id": {
58
+ "construction--barrier--fence": 0,
59
+ "construction--barrier--guard-rail": 1,
60
+ "construction--barrier--other-barrier": 2,
61
+ "construction--barrier--wall": 3,
62
+ "construction--flat--road": 4,
63
+ "construction--flat--service-lane": 5,
64
+ "construction--flat--sidewalk": 6,
65
+ "construction--structure--building": 7,
66
+ "human--person": 8,
67
+ "human--rider--bicyclist": 9,
68
+ "marking--crosswalk-zebra": 10,
69
+ "marking--general": 11,
70
+ "nature--sky": 12,
71
+ "nature--terrain": 13,
72
+ "nature--vegetation": 14,
73
+ "object--support--pole": 15,
74
+ "object--support--traffic-sign-frame": 16,
75
+ "object--traffic-light": 17,
76
+ "object--traffic-sign--front": 18,
77
+ "object--vehicle--bicycle": 19,
78
+ "object--vehicle--bus": 20,
79
+ "object--vehicle--car": 21,
80
+ "object--vehicle--truck": 22
81
+ },
82
+ "layer_norm_eps": 1e-06,
83
+ "mlp_ratios": [
84
+ 4,
85
+ 4,
86
+ 4,
87
+ 4
88
+ ],
89
+ "model_type": "segformer",
90
+ "num_attention_heads": [
91
+ 1,
92
+ 2,
93
+ 5,
94
+ 8
95
+ ],
96
+ "num_channels": 3,
97
+ "num_encoder_blocks": 4,
98
+ "patch_sizes": [
99
+ 7,
100
+ 3,
101
+ 3,
102
+ 3
103
+ ],
104
+ "reshape_last_stage": true,
105
+ "semantic_loss_ignore_index": 255,
106
+ "sr_ratios": [
107
+ 8,
108
+ 4,
109
+ 2,
110
+ 1
111
+ ],
112
+ "strides": [
113
+ 4,
114
+ 2,
115
+ 2,
116
+ 2
117
+ ],
118
+ "torch_dtype": "float32",
119
+ "transformers_version": "4.48.1"
120
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:399300fce5cbb47bc266d6fcd0b10bcab0bb47337e133da55134d6f7801fd036
3
+ size 109508620
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6813266116a7b2c970f3ff782eac8f17ad32c8559590d1e8ada1857849dba22b
3
+ size 5368