Lit4pCol4b
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Training in progress epoch 0
Browse files- README.md +13 -14
- preprocessor_config.json +2 -2
- tf_model.h5 +1 -1
README.md
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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:
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- Validation Loss:
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- Validation Mean Iou: 0.
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- Validation Mean Accuracy:
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- Validation Overall Accuracy:
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- Validation Accuracy Unlabeled:
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- Validation Accuracy Objeto Interes:
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- Validation Accuracy Agua:
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- Validation Iou Unlabeled: 0.
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- Validation Iou Objeto Interes:
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- Validation Iou Agua:
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- Epoch:
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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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| 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
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preprocessor_config.json
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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":
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"do_resize":
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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,
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 54991500
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e028bedcbc7fc8e7bda54188bf6aacb7b67bc284ae843d4c60f4adeb2ffa33b
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size 54991500
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