Lit4pCol4b commited on
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79e9f48
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Training in progress epoch 0

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  1. README.md +13 -14
  2. preprocessor_config.json +2 -2
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,18 +15,18 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: nan
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- - Validation Loss: nan
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- - Validation Mean Iou: 0.0425
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- - Validation Mean Accuracy: 1.0
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- - Validation Overall Accuracy: 1.0
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- - Validation Accuracy Unlabeled: 1.0
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- - Validation Accuracy Objeto Interes: nan
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- - Validation Accuracy Agua: nan
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- - Validation Iou Unlabeled: 0.0425
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- - Validation Iou Objeto Interes: nan
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- - Validation Iou Agua: nan
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- - Epoch: 1
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  ## Model description
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@@ -52,8 +52,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Objeto Interes | Validation Accuracy Agua | Validation Iou Unlabeled | Validation Iou Objeto Interes | Validation Iou Agua | Epoch |
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  |:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:----------------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:-------------------:|:-----:|
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- | nan | nan | 0.0425 | 1.0 | 1.0 | 1.0 | nan | nan | 0.0425 | nan | nan | 0 |
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- | nan | nan | 0.0425 | 1.0 | 1.0 | 1.0 | nan | nan | 0.0425 | nan | nan | 1 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.6580
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+ - Validation Loss: 0.6718
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+ - Validation Mean Iou: 0.4196
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+ - Validation Mean Accuracy: 0.6281
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+ - Validation Overall Accuracy: 0.8767
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+ - Validation Accuracy Unlabeled: 0.0254
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+ - Validation Accuracy Objeto Interes: 0.9466
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+ - Validation Accuracy Agua: 0.9124
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+ - Validation Iou Unlabeled: 0.0232
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+ - Validation Iou Objeto Interes: 0.3345
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+ - Validation Iou Agua: 0.9012
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Objeto Interes | Validation Accuracy Agua | Validation Iou Unlabeled | Validation Iou Objeto Interes | Validation Iou Agua | Epoch |
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  |:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:----------------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:-------------------:|:-----:|
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+ | 0.6580 | 0.6718 | 0.4196 | 0.6281 | 0.8767 | 0.0254 | 0.9466 | 0.9124 | 0.0232 | 0.3345 | 0.9012 | 0 |
 
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  ### Framework versions
preprocessor_config.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "do_normalize": true,
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  "do_reduce_labels": false,
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- "do_rescale": false,
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- "do_resize": false,
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  "image_mean": [
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  0.485,
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  0.456,
 
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  {
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  "do_normalize": true,
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  "do_reduce_labels": false,
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+ "do_rescale": true,
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+ "do_resize": true,
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  "image_mean": [
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  0.485,
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  0.456,
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 54991500
 
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