Add model
Browse files- .gitattributes +3 -0
- README.md +43 -0
- history.json +30 -0
- keras_metadata.pb +3 -0
- logs/train/events.out.tfevents.1653921998.b3a961ec2aba.109.0.v2 +3 -0
- logs/validation/events.out.tfevents.1653922035.b3a961ec2aba.109.1.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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variables/variables.data-00000-of-00001 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.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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- image-segmentation
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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 | Train Accuracy | Validation Loss | Validation Accuracy |
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|--- |--- |--- |--- |--- |
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| 1| 1.206| 0.636| 2.55| 0.555|
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| 2| 0.957| 0.696| 2.671| 0.598|
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| 3| 0.847| 0.729| 1.431| 0.612|
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| 4| 0.774| 0.751| 1.008| 0.689|
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| 5| 0.712| 0.771| 1.016| 0.705|
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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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"accuracy": [
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0.6355844140052795,
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0.6962558031082153,
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0.7285201549530029,
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0.7512618899345398,
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0.7708302140235901
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],
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"loss": [
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1.2064745426177979,
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0.9567540884017944,
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0.8467988967895508,
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0.773553729057312,
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0.7115685939788818
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],
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"val_accuracy": [
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0.5545023083686829,
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0.5978437066078186,
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0.6123111248016357,
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0.6894199848175049,
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0.7053162455558777
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],
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"val_loss": [
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2.5502495765686035,
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2.6706485748291016,
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1.4309629201889038,
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1.0081695318222046,
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1.0158300399780273
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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:e1f33337c48cbc72119a23da8510588d309ba25d5d2d800868ca31754ac2c9fd
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size 357249
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logs/train/events.out.tfevents.1653921998.b3a961ec2aba.109.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9a6e81fb2d0c7546a10791c17c5f4894aceb3885bb9a33a048ce308dcb2abb9
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size 1951463
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logs/validation/events.out.tfevents.1653922035.b3a961ec2aba.109.1.v2
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version https://git-lfs.github.com/spec/v1
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size 1636
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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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size 2850637
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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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oid sha256:bfdbb17db238f34cbb0d9711ff92717def184513255160f32df1c778832f4c28
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size 47564880
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variables/variables.index
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version https://git-lfs.github.com/spec/v1
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size 19238
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