Add model
Browse files- .gitattributes +3 -0
- README.md +56 -0
- history.json +74 -0
- keras_metadata.pb +3 -0
- logs/train/events.out.tfevents.1654785187.23dbe507835e.62.0.v2 +3 -0
- logs/train/events.out.tfevents.1654785477.23dbe507835e.62.2.v2 +3 -0
- logs/validation/events.out.tfevents.1654785191.23dbe507835e.62.1.v2 +3 -0
- logs/validation/events.out.tfevents.1654785483.23dbe507835e.62.3.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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- computer-vision
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- classification
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- 'multiple-instance-learning '
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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| 0.315| 0.915| 0.066| 0.983|
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| 2| 0.089| 0.982| 0.049| 0.99|
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| 3| 0.078| 0.987| 0.084| 0.983|
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| 4| 0.059| 0.983| 0.033| 0.993|
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| 5| 0.042| 0.99| 0.053| 0.99|
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| 6| 0.042| 0.996| 0.019| 0.993|
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| 7| 0.013| 0.999| 0.067| 0.987|
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| 8| 0.055| 0.988| 0.049| 0.99|
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| 9| 0.005| 1.0| 0.039| 0.993|
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| 10| 0.005| 1.0| 0.038| 0.99|
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| 11| 0.039| 0.995| 0.214| 0.97|
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| 12| 0.008| 1.0| 0.039| 0.99|
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| 13| 0.002| 1.0| 0.047| 0.993|
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| 14| 0.016| 0.999| 0.057| 0.99|
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| 15| 0.046| 0.993| 0.026| 0.997|
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| 16| 0.002| 1.0| 0.06| 0.99|
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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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0.9150000214576721,
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0.9819999933242798,
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1.0,
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1.0,
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1.0,
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1.0,
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0.9929999709129333,
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1.0
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],
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"loss": [
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0.3150184154510498,
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],
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"val_accuracy": [
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],
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"val_loss": [
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0.06558866053819656,
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0.06041382625699043
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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 sha256:9d3e10e84ae1e464382626dd0e75644b8759221be10a3e5f7fe774f4af454bf2
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size 20752
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logs/train/events.out.tfevents.1654785187.23dbe507835e.62.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b0069f4746a83db8f78ae96d7dbf558de169410e025bae6eab57bb81431f814
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size 2276
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logs/train/events.out.tfevents.1654785477.23dbe507835e.62.2.v2
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version https://git-lfs.github.com/spec/v1
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size 6567
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logs/validation/events.out.tfevents.1654785191.23dbe507835e.62.1.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:ebe17d6549d967aeeab34d6f32187c1cf48e0836c4466a9518e27d6e88896fc0
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size 5156
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logs/validation/events.out.tfevents.1654785483.23dbe507835e.62.3.v2
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version https://git-lfs.github.com/spec/v1
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size 5156
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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 sha256:824a43b7974ad4c3283feab0f6b589cf9617899196183433f984625ce839a016
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size 346354
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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 sha256:66ae75f71204dd611e8519c67648b4d050892bfb7e190940740ba50ad7f64f7a
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size 576609
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variables/variables.index
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version https://git-lfs.github.com/spec/v1
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size 913
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