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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): bd87ca1

Training in progress epoch 1

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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: 1.4089
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- - Validation Loss: 0.8220
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- - Validation Mean Iou: 0.1975
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- - Validation Mean Accuracy: 0.2427
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- - Validation Overall Accuracy: 0.7701
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- - Validation Per Category Iou: [0. 0.58353931 0.7655921 0.04209491 0.53135026 0.11779776
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- nan 0.07709853 0.15950712 0. 0.69634813 0.
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- 0. 0. 0. 0. 0. 0.
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- 0.61456822 0. 0.24971248 0.27129675 0. nan
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- 0. 0.07697324 0. 0. 0.78576516 0.61267064
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- 0.84564576 0. 0. 0.08904216 0. ]
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- - Validation Per Category Accuracy: [0. 0.88026971 0.93475302 0.04216372 0.5484085 0.13285614
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- nan 0.08669707 0.19044773 0. 0.90089024 0.
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- 0. 0. 0. 0. 0. 0.
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- 0. 0.08671771 0. 0. 0.89590301 0.74932576
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- 0.9434814 0. 0. 0.14245566 0. ]
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- - Epoch: 0
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  ## Model description
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@@ -68,6 +68,17 @@ The following hyperparameters were used during training:
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  0.76783975 0. 0.42102101 0.28659817 0. nan
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  0. 0.08671771 0. 0. 0.89590301 0.74932576
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  0.9434814 0. 0. 0.14245566 0. ] | 0 |
 
 
 
 
 
 
 
 
 
 
 
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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: 0.8462
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+ - Validation Loss: 0.6135
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+ - Validation Mean Iou: 0.2551
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+ - Validation Mean Accuracy: 0.2960
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+ - Validation Overall Accuracy: 0.8200
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+ - Validation Per Category Iou: [0. 0.66967645 0.80571406 0.56416239 0.66692248 0.24744912
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+ nan 0.23994505 0.28962463 0. 0.76504783 0.
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+ 0. 0. 0. 0.14111353 0. 0.
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+ 0.6924468 0. 0.27988701 0.41876094 0. nan
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+ 0. 0.14755829 0. 0. 0.81614463 0.68429711
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+ 0.87710938 0. 0. 0.11234171 0. ]
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+ - Validation Per Category Accuracy: [0. 0.83805933 0.94928385 0.59586511 0.72913519 0.30595504
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+ nan 0.3128234 0.34805831 0. 0.87847495 0.
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+ 0. 0. 0. 0.14205167 0. 0.
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+ 0.87543619 0. 0.36001144 0.49498574 0. nan
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+ 0. 0.18179115 0. 0. 0.92867923 0.7496178
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+ 0.92220166 0. 0. 0.15398549 0. ]
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+ - Epoch: 1
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  ## Model description
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  0.76783975 0. 0.42102101 0.28659817 0. nan
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  0. 0.08671771 0. 0. 0.89590301 0.74932576
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  0.9434814 0. 0. 0.14245566 0. ] | 0 |
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+ | 0.8462 | 0.6135 | 0.2551 | 0.2960 | 0.8200 | [0. 0.66967645 0.80571406 0.56416239 0.66692248 0.24744912
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+ nan 0.23994505 0.28962463 0. 0.76504783 0.
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+ 0. 0. 0. 0.14111353 0. 0.
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+ 0.6924468 0. 0.27988701 0.41876094 0. nan
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+ 0. 0.14755829 0. 0. 0.81614463 0.68429711
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+ 0.87710938 0. 0. 0.11234171 0. ] | [0. 0.83805933 0.94928385 0.59586511 0.72913519 0.30595504
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+ nan 0.3128234 0.34805831 0. 0.87847495 0.
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+ 0. 0. 0. 0.14205167 0. 0.
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+ 0.87543619 0. 0.36001144 0.49498574 0. nan
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+ 0. 0.18179115 0. 0. 0.92867923 0.7496178
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+ 0.92220166 0. 0. 0.15398549 0. ] | 1 |
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  ### Framework versions
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