Spatiallysaying commited on
Commit
0f3093c
·
verified ·
1 Parent(s): 66298be

End of training

Browse files
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: other
3
  base_model: nvidia/mit-b0
4
  tags:
 
 
5
  - generated_from_trainer
6
  model-index:
7
  - name: segformer-finetuned-rwymarkings-2-steps
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # segformer-finetuned-rwymarkings-2-steps
15
 
16
- This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
  - Loss: 2.2162
19
  - Mean Iou: 0.0387
 
2
  license: other
3
  base_model: nvidia/mit-b0
4
  tags:
5
+ - image-segmentation
6
+ - vision
7
  - generated_from_trainer
8
  model-index:
9
  - name: segformer-finetuned-rwymarkings-2-steps
 
15
 
16
  # segformer-finetuned-rwymarkings-2-steps
17
 
18
+ This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the Spatiallysaying/rwymarkings dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 2.2162
21
  - Mean Iou: 0.0387
all_results.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.045454545454545456,
3
+ "eval_accuracy__backgound_": NaN,
4
+ "eval_accuracy_aim": 0.2144114770133681,
5
+ "eval_accuracy_arrow": 0.08341416100872939,
6
+ "eval_accuracy_chevron": 0.0022865095933989462,
7
+ "eval_accuracy_desig": 0.09223437061956827,
8
+ "eval_accuracy_disp": 0.27102803738317754,
9
+ "eval_accuracy_rwythr": 0.17653715579026782,
10
+ "eval_accuracy_tdz": 0.04933458099396964,
11
+ "eval_accuracy_thrbar": 0.01395139513951395,
12
+ "eval_iou__backgound_": 0.0,
13
+ "eval_iou_aim": 0.11579095647274264,
14
+ "eval_iou_arrow": 0.008531746031746031,
15
+ "eval_iou_chevron": 0.0019953153465776005,
16
+ "eval_iou_desig": 0.04427994616419919,
17
+ "eval_iou_disp": 0.02664951295717699,
18
+ "eval_iou_rwythr": 0.09797764099987438,
19
+ "eval_iou_tdz": 0.039930993856770174,
20
+ "eval_iou_thrbar": 0.0131286394917946,
21
+ "eval_loss": 2.2161576747894287,
22
+ "eval_mean_accuracy": 0.1128997109427492,
23
+ "eval_mean_iou": 0.038698305702320177,
24
+ "eval_overall_accuracy": 0.10500469317517107,
25
+ "eval_runtime": 134.5547,
26
+ "eval_samples_per_second": 0.647,
27
+ "eval_steps_per_second": 0.082,
28
+ "total_flos": 280583108296704.0,
29
+ "train_loss": 2.258466958999634,
30
+ "train_runtime": 267.1515,
31
+ "train_samples_per_second": 0.06,
32
+ "train_steps_per_second": 0.007
33
+ }
eval_results.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.045454545454545456,
3
+ "eval_accuracy__backgound_": NaN,
4
+ "eval_accuracy_aim": 0.2144114770133681,
5
+ "eval_accuracy_arrow": 0.08341416100872939,
6
+ "eval_accuracy_chevron": 0.0022865095933989462,
7
+ "eval_accuracy_desig": 0.09223437061956827,
8
+ "eval_accuracy_disp": 0.27102803738317754,
9
+ "eval_accuracy_rwythr": 0.17653715579026782,
10
+ "eval_accuracy_tdz": 0.04933458099396964,
11
+ "eval_accuracy_thrbar": 0.01395139513951395,
12
+ "eval_iou__backgound_": 0.0,
13
+ "eval_iou_aim": 0.11579095647274264,
14
+ "eval_iou_arrow": 0.008531746031746031,
15
+ "eval_iou_chevron": 0.0019953153465776005,
16
+ "eval_iou_desig": 0.04427994616419919,
17
+ "eval_iou_disp": 0.02664951295717699,
18
+ "eval_iou_rwythr": 0.09797764099987438,
19
+ "eval_iou_tdz": 0.039930993856770174,
20
+ "eval_iou_thrbar": 0.0131286394917946,
21
+ "eval_loss": 2.2161576747894287,
22
+ "eval_mean_accuracy": 0.1128997109427492,
23
+ "eval_mean_iou": 0.038698305702320177,
24
+ "eval_overall_accuracy": 0.10500469317517107,
25
+ "eval_runtime": 134.5547,
26
+ "eval_samples_per_second": 0.647,
27
+ "eval_steps_per_second": 0.082
28
+ }
runs/Jul12_17-09-28_2ddd51c9d85f/events.out.tfevents.1720804576.2ddd51c9d85f.26734.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82b04425032f75acb7d9d5126ee5e22c341bd23e31ea9531866a1e5c42d1edba
3
+ size 1511
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.045454545454545456,
3
+ "total_flos": 280583108296704.0,
4
+ "train_loss": 2.258466958999634,
5
+ "train_runtime": 267.1515,
6
+ "train_samples_per_second": 0.06,
7
+ "train_steps_per_second": 0.007
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.045454545454545456,
5
+ "eval_steps": 500,
6
+ "global_step": 2,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.022727272727272728,
13
+ "grad_norm": 5.735886096954346,
14
+ "learning_rate": 3.0050000000000002e-05,
15
+ "loss": 2.2694,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.045454545454545456,
20
+ "grad_norm": 5.947845935821533,
21
+ "learning_rate": 1e-07,
22
+ "loss": 2.2475,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.045454545454545456,
27
+ "eval_accuracy__backgound_": NaN,
28
+ "eval_accuracy_aim": 0.2144114770133681,
29
+ "eval_accuracy_arrow": 0.08341416100872939,
30
+ "eval_accuracy_chevron": 0.0022865095933989462,
31
+ "eval_accuracy_desig": 0.09223437061956827,
32
+ "eval_accuracy_disp": 0.27102803738317754,
33
+ "eval_accuracy_rwythr": 0.17653715579026782,
34
+ "eval_accuracy_tdz": 0.04933458099396964,
35
+ "eval_accuracy_thrbar": 0.01395139513951395,
36
+ "eval_iou__backgound_": 0.0,
37
+ "eval_iou_aim": 0.11579095647274264,
38
+ "eval_iou_arrow": 0.008531746031746031,
39
+ "eval_iou_chevron": 0.0019953153465776005,
40
+ "eval_iou_desig": 0.04427994616419919,
41
+ "eval_iou_disp": 0.02664951295717699,
42
+ "eval_iou_rwythr": 0.09797764099987438,
43
+ "eval_iou_tdz": 0.039930993856770174,
44
+ "eval_iou_thrbar": 0.0131286394917946,
45
+ "eval_loss": 2.2161576747894287,
46
+ "eval_mean_accuracy": 0.1128997109427492,
47
+ "eval_mean_iou": 0.038698305702320177,
48
+ "eval_overall_accuracy": 0.10500469317517107,
49
+ "eval_runtime": 192.9187,
50
+ "eval_samples_per_second": 0.451,
51
+ "eval_steps_per_second": 0.057,
52
+ "step": 2
53
+ },
54
+ {
55
+ "epoch": 0.045454545454545456,
56
+ "step": 2,
57
+ "total_flos": 280583108296704.0,
58
+ "train_loss": 2.258466958999634,
59
+ "train_runtime": 267.1515,
60
+ "train_samples_per_second": 0.06,
61
+ "train_steps_per_second": 0.007
62
+ }
63
+ ],
64
+ "logging_steps": 1.0,
65
+ "max_steps": 2,
66
+ "num_input_tokens_seen": 0,
67
+ "num_train_epochs": 1,
68
+ "save_steps": 500,
69
+ "stateful_callbacks": {
70
+ "TrainerControl": {
71
+ "args": {
72
+ "should_epoch_stop": false,
73
+ "should_evaluate": false,
74
+ "should_log": false,
75
+ "should_save": true,
76
+ "should_training_stop": true
77
+ },
78
+ "attributes": {}
79
+ }
80
+ },
81
+ "total_flos": 280583108296704.0,
82
+ "train_batch_size": 8,
83
+ "trial_name": null,
84
+ "trial_params": null
85
+ }