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nateraw
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mit-b0-finetuned-sidewalks-v2

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segformer
generated_from_keras_callback
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Commit
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1 Parent(s): a702506

Training in progress epoch 3

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Files changed (2) hide show
  1. README.md +29 -18
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,24 +14,24 @@ probably proofread and complete it, then remove this comment. -->
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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: 0.7134
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- - Validation Loss: 0.5660
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- - Validation Mean Iou: 0.2780
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- - Validation Mean Accuracy: 0.3320
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- - Validation Overall Accuracy: 0.8286
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- - Validation Per Category Iou: [0. 0.64791461 0.83800512 0.67301044 0.68120631 0.27361472
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- nan 0.26715802 0.43596999 0. 0.78649287 0.
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- 0.71114766 0. 0.31646321 0.44682442 0. nan
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- 0. 0.17132551 0. 0. 0.81845697 0.67536699
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- 0.88940936 0. 0. 0.1304862 0. ]
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- - Validation Per Category Accuracy: [0. 0.85958877 0.92084269 0.82341633 0.74725972 0.33495972
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- nan 0.40755277 0.56591531 0. 0.90641721 0.
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- 0. 0.20631607 0. 0. 0.90956851 0.85856042
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- 0.94107052 0. 0. 0.16669713 0. ]
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- - Epoch: 2
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  ## Model description
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@@ -90,6 +90,17 @@ The following hyperparameters were used during training:
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  0. 0.20631607 0. 0. 0.90956851 0.85856042
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  0.94107052 0. 0. 0.16669713 0. ] | 2 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 0.6320
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+ - Validation Loss: 0.5173
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+ - Validation Mean Iou: 0.2894
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+ - Validation Mean Accuracy: 0.3454
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+ - Validation Overall Accuracy: 0.8435
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+ - Validation Per Category Iou: [0. 0.70789146 0.84902296 0.65266358 0.76099965 0.32934391
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+ nan 0.29576422 0.43988204 0. 0.79276447 0.
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+ 0. 0. 0. 0.42668367 0. 0.
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+ 0.71717911 0. 0.32151249 0.50084444 0. nan
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+ 0. 0.18711455 0. 0. 0.82903803 0.68990498
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+ 0.8990059 0. 0.00213015 0.14819771 0. ]
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+ - Validation Per Category Accuracy: [0. 0.84048763 0.93514369 0.68355212 0.88302113 0.458816
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+ nan 0.38623272 0.69456442 0. 0.92379471 0.
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+ 0. 0. 0. 0.50677438 0. 0.
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+ 0.90362965 0. 0.4662386 0.57368294 0. nan
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+ 0. 0.23281768 0. 0. 0.9001526 0.86786434
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+ 0.95195314 0. 0.00333751 0.18532191 0. ]
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+ - Epoch: 3
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  ## Model description
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  0.88294811 0. 0.46962078 0.47517397 0. nan
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  0. 0.20631607 0. 0. 0.90956851 0.85856042
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  0.94107052 0. 0. 0.16669713 0. ] | 2 |
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+ | 0.6320 | 0.5173 | 0.2894 | 0.3454 | 0.8435 | [0. 0.70789146 0.84902296 0.65266358 0.76099965 0.32934391
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+ nan 0.29576422 0.43988204 0. 0.79276447 0.
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+ 0. 0. 0. 0.42668367 0. 0.
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+ 0.71717911 0. 0.32151249 0.50084444 0. nan
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+ 0. 0.18711455 0. 0. 0.82903803 0.68990498
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+ 0.8990059 0. 0.00213015 0.14819771 0. ] | [0. 0.84048763 0.93514369 0.68355212 0.88302113 0.458816
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+ nan 0.38623272 0.69456442 0. 0.92379471 0.
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+ 0. 0. 0. 0.50677438 0. 0.
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+ 0.90362965 0. 0.4662386 0.57368294 0. nan
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+ 0. 0.23281768 0. 0. 0.9001526 0.86786434
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+ 0.95195314 0. 0.00333751 0.18532191 0. ] | 3 |
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  ### Framework versions
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