metadata
library_name: keras
tags:
- structured-data-classification
- timeseries
- anomaly-detection
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training Metrics
Epochs | Train Loss | Validation Loss |
---|---|---|
1 | 0.011 | 0.014 |
2 | 0.011 | 0.015 |
3 | 0.01 | 0.012 |
4 | 0.01 | 0.013 |
5 | 0.01 | 0.012 |
6 | 0.009 | 0.014 |
7 | 0.009 | 0.013 |
8 | 0.009 | 0.012 |
9 | 0.009 | 0.012 |
10 | 0.009 | 0.011 |
11 | 0.008 | 0.01 |
12 | 0.008 | 0.011 |
13 | 0.008 | 0.009 |
14 | 0.008 | 0.011 |
15 | 0.008 | 0.009 |
16 | 0.008 | 0.009 |
17 | 0.008 | 0.009 |
18 | 0.007 | 0.01 |
19 | 0.007 | 0.009 |
20 | 0.007 | 0.008 |
21 | 0.007 | 0.009 |
22 | 0.007 | 0.008 |
23 | 0.007 | 0.008 |
24 | 0.007 | 0.007 |
25 | 0.007 | 0.008 |
26 | 0.006 | 0.009 |
27 | 0.006 | 0.008 |
28 | 0.006 | 0.009 |
29 | 0.006 | 0.008 |