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Omar280X
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personal_license_segmentation

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segformer
generated_from_keras_callback
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End of training

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Files changed (2) hide show
  1. README.md +53 -33
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0116
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- - Validation Loss: 0.0114
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- - Epoch: 29
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  ## Model description
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@@ -43,36 +43,56 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.0466 | 0.0253 | 0 |
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- | 0.0256 | 0.0227 | 1 |
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- | 0.0234 | 0.0225 | 2 |
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- | 0.0233 | 0.0209 | 3 |
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- | 0.0212 | 0.0198 | 4 |
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- | 0.0198 | 0.0186 | 5 |
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- | 0.0189 | 0.0178 | 6 |
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- | 0.0186 | 0.0173 | 7 |
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- | 0.0172 | 0.0166 | 8 |
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- | 0.0175 | 0.0162 | 9 |
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- | 0.0162 | 0.0154 | 10 |
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- | 0.0157 | 0.0148 | 11 |
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- | 0.0151 | 0.0143 | 12 |
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- | 0.0146 | 0.0138 | 13 |
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- | 0.0142 | 0.0134 | 14 |
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- | 0.0155 | 0.0133 | 15 |
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- | 0.0138 | 0.0134 | 16 |
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- | 0.0134 | 0.0129 | 17 |
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- | 0.0134 | 0.0126 | 18 |
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- | 0.0129 | 0.0125 | 19 |
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- | 0.0127 | 0.0122 | 20 |
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- | 0.0126 | 0.0120 | 21 |
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- | 0.0157 | 0.0172 | 22 |
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- | 0.0138 | 0.0124 | 23 |
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- | 0.0125 | 0.0120 | 24 |
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- | 0.0122 | 0.0119 | 25 |
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- | 0.0120 | 0.0116 | 26 |
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- | 0.0119 | 0.0116 | 27 |
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- | 0.0118 | 0.0115 | 28 |
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- | 0.0116 | 0.0114 | 29 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0104
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+ - Validation Loss: 0.0105
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+ - Epoch: 49
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.0804 | 0.0281 | 0 |
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+ | 0.0291 | 0.0244 | 1 |
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+ | 0.0272 | 0.0234 | 2 |
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+ | 0.0240 | 0.0222 | 3 |
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+ | 0.0224 | 0.0212 | 4 |
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+ | 0.0214 | 0.0201 | 5 |
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+ | 0.0224 | 0.0199 | 6 |
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+ | 0.0200 | 0.0189 | 7 |
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+ | 0.0210 | 0.0187 | 8 |
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+ | 0.0196 | 0.0184 | 9 |
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+ | 0.0185 | 0.0174 | 10 |
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+ | 0.0180 | 0.0169 | 11 |
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+ | 0.0178 | 0.0165 | 12 |
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+ | 0.0167 | 0.0160 | 13 |
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+ | 0.0162 | 0.0155 | 14 |
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+ | 0.0158 | 0.0147 | 15 |
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+ | 0.0151 | 0.0143 | 16 |
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+ | 0.0147 | 0.0138 | 17 |
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+ | 0.0146 | 0.0137 | 18 |
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+ | 0.0144 | 0.0134 | 19 |
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+ | 0.0143 | 0.0131 | 20 |
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+ | 0.0134 | 0.0130 | 21 |
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+ | 0.0132 | 0.0132 | 22 |
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+ | 0.0130 | 0.0132 | 23 |
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+ | 0.0130 | 0.0124 | 24 |
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+ | 0.0127 | 0.0122 | 25 |
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+ | 0.0127 | 0.0122 | 26 |
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+ | 0.0124 | 0.0119 | 27 |
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+ | 0.0122 | 0.0123 | 28 |
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+ | 0.0123 | 0.0117 | 29 |
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+ | 0.0118 | 0.0115 | 30 |
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+ | 0.0117 | 0.0117 | 31 |
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+ | 0.0116 | 0.0115 | 32 |
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+ | 0.0115 | 0.0117 | 33 |
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+ | 0.0114 | 0.0113 | 34 |
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+ | 0.0113 | 0.0111 | 35 |
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+ | 0.0110 | 0.0109 | 36 |
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+ | 0.0125 | 0.0109 | 37 |
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+ | 0.0114 | 0.0108 | 38 |
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+ | 0.0107 | 0.0108 | 39 |
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+ | 0.0107 | 0.0108 | 40 |
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+ | 0.0122 | 0.0112 | 41 |
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+ | 0.0109 | 0.0108 | 42 |
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+ | 0.0106 | 0.0106 | 43 |
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+ | 0.0105 | 0.0107 | 44 |
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+ | 0.0106 | 0.0106 | 45 |
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+ | 0.0105 | 0.0108 | 46 |
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+ | 0.0106 | 0.0110 | 47 |
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+ | 0.0103 | 0.0108 | 48 |
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+ | 0.0104 | 0.0105 | 49 |
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  ### Framework versions
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