Add model
Browse files- .gitattributes +3 -0
- README.md +69 -0
- history.json +64 -0
- keras_metadata.pb +3 -0
- logs/train/events.out.tfevents.1654093780.464d3d5f193d.59.0.v2 +3 -0
- logs/train/events.out.tfevents.1654096545.464d3d5f193d.59.2.v2 +3 -0
- logs/validation/events.out.tfevents.1654093782.464d3d5f193d.59.1.v2 +3 -0
- logs/validation/events.out.tfevents.1654096547.464d3d5f193d.59.3.v2 +3 -0
- model.png +3 -0
- saved_model.pb +3 -0
- variables/variables.data-00000-of-00001 +3 -0
- variables/variables.index +3 -0
.gitattributes
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@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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model.png filter=lfs diff=lfs merge=lfs -text
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variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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variables/variables.index filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: keras
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tags:
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- structured-data-classification
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- timeseries
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- anomaly-detection
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---
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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## Training Metrics
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| Epochs | Train Loss | Validation Loss |
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|--- |--- |--- |
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| 1| 0.011| 0.014|
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| 2| 0.011| 0.015|
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| 3| 0.01| 0.012|
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| 4| 0.01| 0.013|
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| 5| 0.01| 0.012|
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| 6| 0.009| 0.014|
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| 7| 0.009| 0.013|
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| 8| 0.009| 0.012|
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| 9| 0.009| 0.012|
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| 10| 0.009| 0.011|
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| 11| 0.008| 0.01|
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| 12| 0.008| 0.011|
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| 13| 0.008| 0.009|
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| 14| 0.008| 0.011|
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| 15| 0.008| 0.009|
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| 16| 0.008| 0.009|
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| 17| 0.008| 0.009|
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| 18| 0.007| 0.01|
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| 19| 0.007| 0.009|
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| 20| 0.007| 0.008|
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| 21| 0.007| 0.009|
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| 22| 0.007| 0.008|
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| 23| 0.007| 0.008|
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| 24| 0.007| 0.007|
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| 25| 0.007| 0.008|
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| 26| 0.006| 0.009|
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| 27| 0.006| 0.008|
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| 28| 0.006| 0.009|
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| 29| 0.006| 0.008|
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## Model Plot
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<details>
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<summary>View Model Plot</summary>
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![Model Image](./model.png)
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</details>
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history.json
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{
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"loss": [
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],
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"val_loss": [
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0.014128080569207668,
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0.015104945749044418,
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0.012059499509632587,
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0.008740434423089027,
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0.008344500325620174
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]
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}
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keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:8551c50cd1a292cbf15accd8db16ffcc556e99bc451d852b730e6b6db0a8257a
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size 16755
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logs/train/events.out.tfevents.1654093780.464d3d5f193d.59.0.v2
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version https://git-lfs.github.com/spec/v1
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size 139087
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logs/train/events.out.tfevents.1654096545.464d3d5f193d.59.2.v2
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version https://git-lfs.github.com/spec/v1
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size 320660
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logs/validation/events.out.tfevents.1654093782.464d3d5f193d.59.1.v2
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version https://git-lfs.github.com/spec/v1
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size 1130
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logs/validation/events.out.tfevents.1654096547.464d3d5f193d.59.3.v2
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version https://git-lfs.github.com/spec/v1
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size 4562
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model.png
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Git LFS Details
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saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:e97e662c076c46d2f73a4f2a4705e3426944afd164af36f7296b811c629c4def
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size 204452
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variables/variables.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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size 43881
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variables/variables.index
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version https://git-lfs.github.com/spec/v1
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size 878
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