geninhu commited on
Commit
f042a8e
1 Parent(s): 10126dc
.gitattributes CHANGED
@@ -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
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - imbalanced-classification
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+ ---
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'learning_rate': 0.01, '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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+
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+ ## Training Metrics
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+
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+ | Epochs | Train Loss | Train Fn | Train Fp | Train Tn | Train Tp | Train Precision | Train Recall | Validation Loss | Validation Fn | Validation Fp | Validation Tn | Validation Tp | Validation Precision | Validation Recall |
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+ |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |
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+ | 1| 0.0| 14.0| 6202.0| 221227.0| 403.0| 0.061| 0.966| 0.043| 9.0| 622.0| 56264.0| 66.0| 0.096| 0.88|
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+ | 2| 0.0| 3.0| 3514.0| 223915.0| 414.0| 0.105| 0.993| 0.025| 10.0| 528.0| 56358.0| 65.0| 0.11| 0.867|
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+ | 3| 0.0| 2.0| 2419.0| 225010.0| 415.0| 0.146| 0.995| 0.014| 11.0| 283.0| 56603.0| 64.0| 0.184| 0.853|
35
+ | 4| 0.0| 3.0| 2482.0| 224947.0| 414.0| 0.143| 0.993| 0.027| 11.0| 340.0| 56546.0| 64.0| 0.158| 0.853|
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+ | 5| 0.0| 2.0| 2295.0| 225134.0| 415.0| 0.153| 0.995| 0.034| 11.0| 245.0| 56641.0| 64.0| 0.207| 0.853|
37
+ | 6| 0.0| 3.0| 2239.0| 225190.0| 414.0| 0.156| 0.993| 0.037| 10.0| 495.0| 56391.0| 65.0| 0.116| 0.867|
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+ | 7| 0.0| 2.0| 3095.0| 224334.0| 415.0| 0.118| 0.995| 0.011| 11.0| 194.0| 56692.0| 64.0| 0.248| 0.853|
39
+ | 8| 0.0| 4.0| 1844.0| 225585.0| 413.0| 0.183| 0.99| 0.035| 9.0| 429.0| 56457.0| 66.0| 0.133| 0.88|
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+ | 9| 0.0| 1.0| 2119.0| 225310.0| 416.0| 0.164| 0.998| 0.012| 11.0| 167.0| 56719.0| 64.0| 0.277| 0.853|
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+ | 10| 0.0| 3.0| 1539.0| 225890.0| 414.0| 0.212| 0.993| 0.013| 13.0| 144.0| 56742.0| 62.0| 0.301| 0.827|
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+ | 11| 0.0| 6.0| 3444.0| 223985.0| 411.0| 0.107| 0.986| 0.039| 11.0| 394.0| 56492.0| 64.0| 0.14| 0.853|
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+ | 12| 0.0| 4.0| 3818.0| 223611.0| 413.0| 0.098| 0.99| 0.03| 9.0| 523.0| 56363.0| 66.0| 0.112| 0.88|
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+ | 13| 0.0| 7.0| 4482.0| 222947.0| 410.0| 0.084| 0.983| 0.059| 6.0| 1364.0| 55522.0| 69.0| 0.048| 0.92|
45
+ | 14| 0.0| 2.0| 3064.0| 224365.0| 415.0| 0.119| 0.995| 0.033| 9.0| 699.0| 56187.0| 66.0| 0.086| 0.88|
46
+ | 15| 0.0| 4.0| 3563.0| 223866.0| 413.0| 0.104| 0.99| 0.066| 8.0| 956.0| 55930.0| 67.0| 0.065| 0.893|
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+ | 16| 0.0| 4.0| 2536.0| 224893.0| 413.0| 0.14| 0.99| 0.016| 9.0| 339.0| 56547.0| 66.0| 0.163| 0.88|
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+ | 17| 0.0| 6.0| 2594.0| 224835.0| 411.0| 0.137| 0.986| 0.049| 8.0| 821.0| 56065.0| 67.0| 0.075| 0.893|
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+ | 18| 0.0| 1.0| 1911.0| 225518.0| 416.0| 0.179| 0.998| 0.013| 8.0| 215.0| 56671.0| 67.0| 0.238| 0.893|
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+ | 19| 0.0| 2.0| 1457.0| 225972.0| 415.0| 0.222| 0.995| 0.018| 7.0| 342.0| 56544.0| 68.0| 0.166| 0.907|
51
+ | 20| 0.0| 0.0| 1132.0| 226297.0| 417.0| 0.269| 1.0| 0.011| 10.0| 172.0| 56714.0| 65.0| 0.274| 0.867|
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+ | 21| 0.0| 1.0| 840.0| 226589.0| 416.0| 0.331| 0.998| 0.008| 11.0| 100.0| 56786.0| 64.0| 0.39| 0.853|
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+ | 22| 0.0| 1.0| 2124.0| 225305.0| 416.0| 0.164| 0.998| 0.075| 10.0| 350.0| 56536.0| 65.0| 0.157| 0.867|
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+ | 23| 0.0| 2.0| 1457.0| 225972.0| 415.0| 0.222| 0.995| 0.03| 11.0| 242.0| 56644.0| 64.0| 0.209| 0.853|
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+ | 24| 0.0| 5.0| 2761.0| 224668.0| 412.0| 0.13| 0.988| 0.297| 6.0| 2741.0| 54145.0| 69.0| 0.025| 0.92|
56
+ | 25| 0.0| 3.0| 2484.0| 224945.0| 414.0| 0.143| 0.993| 0.025| 10.0| 199.0| 56687.0| 65.0| 0.246| 0.867|
57
+ | 26| 0.0| 4.0| 4867.0| 222562.0| 413.0| 0.078| 0.99| 0.021| 18.0| 33.0| 56853.0| 57.0| 0.633| 0.76|
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+ | 27| 0.0| 8.0| 4230.0| 223199.0| 409.0| 0.088| 0.981| 0.053| 9.0| 1541.0| 55345.0| 66.0| 0.041| 0.88|
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+ | 28| 0.0| 9.0| 5305.0| 222124.0| 408.0| 0.071| 0.978| 0.026| 9.0| 398.0| 56488.0| 66.0| 0.142| 0.88|
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+ | 29| 0.0| 5.0| 4846.0| 222583.0| 412.0| 0.078| 0.988| 0.242| 6.0| 7883.0| 49003.0| 69.0| 0.009| 0.92|
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+ | 30| 0.0| 5.0| 5193.0| 222236.0| 412.0| 0.074| 0.988| 0.026| 7.0| 449.0| 56437.0| 68.0| 0.132| 0.907|
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+ ## Model Plot
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+
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+ <details>
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+ <summary>View Model Plot</summary>
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+
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+ ![Model Image](./model.png)
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+
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+ </details>
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