Training in progress epoch 8
Browse files- README.md +29 -18
- tf_model.h5 +1 -1
README.md
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@@ -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.
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- Validation Loss: 0.
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- Validation Mean Iou: 0.
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- Validation Mean Accuracy: 0.
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- Validation Overall Accuracy: 0.
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- Validation Per Category Iou: [0. 0.
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- Validation Per Category Accuracy: [0. 0.
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- Epoch:
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## Model description
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@@ -151,6 +151,17 @@ The following hyperparameters were used during training:
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0.88312382 0.03451747 0.65575793 0.42127597 0. nan
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0. 0.39094462 0.05356577 0. 0.95291962 0.86480438
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0.95973926 0.00251199 0.29803261 0.40525743 0. ] | 7 |
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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: 0.4458
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- Validation Loss: 0.6356
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- Validation Mean Iou: 0.3066
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- Validation Mean Accuracy: 0.3759
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- Validation Overall Accuracy: 0.8311
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- Validation Per Category Iou: [0. 0.66186021 0.83364406 0.48364478 0.53627121 0.27582606
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nan 0.35739504 0.41076225 0. 0.77850446 0.
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0. nan 0. 0.50299945 0. 0.
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0.70340595 0.01741996 0.40137463 0.32885851 0. nan
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0. 0.32114603 0.05439069 0. 0.84655176 0.80081688
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0.90314194 0.00292704 0.24599153 0.34524384 0. ]
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- Validation Per Category Accuracy: [0. 0.74699777 0.95226432 0.65030589 0.70566846 0.35272168
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nan 0.47019568 0.71372001 0. 0.91011138 0.
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0. nan 0. 0.62189092 0. 0.
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0.87945472 0.01742109 0.52016264 0.36958738 0. nan
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0. 0.3993222 0.05508716 0. 0.928178 0.89821483
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0.96116851 0.0033765 0.40579212 0.46633448 0. ]
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- Epoch: 8
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## Model description
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0.88312382 0.03451747 0.65575793 0.42127597 0. nan
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0. 0.39094462 0.05356577 0. 0.95291962 0.86480438
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0.95973926 0.00251199 0.29803261 0.40525743 0. ] | 7 |
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| 0.4458 | 0.6356 | 0.3066 | 0.3759 | 0.8311 | [0. 0.66186021 0.83364406 0.48364478 0.53627121 0.27582606
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nan 0.35739504 0.41076225 0. 0.77850446 0.
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0. nan 0. 0.50299945 0. 0.
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0.70340595 0.01741996 0.40137463 0.32885851 0. nan
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0. 0.32114603 0.05439069 0. 0.84655176 0.80081688
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0.90314194 0.00292704 0.24599153 0.34524384 0. ] | [0. 0.74699777 0.95226432 0.65030589 0.70566846 0.35272168
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nan 0.47019568 0.71372001 0. 0.91011138 0.
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0. nan 0. 0.62189092 0. 0.
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0.87945472 0.01742109 0.52016264 0.36958738 0. nan
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0. 0.3993222 0.05508716 0. 0.928178 0.89821483
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0.96116851 0.0033765 0.40579212 0.46633448 0. ] | 8 |
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### Framework versions
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tf_model.h5
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size 15167588
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version https://git-lfs.github.com/spec/v1
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size 15167588
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