metadata
library_name: keras
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 |
---|---|
1 | 0.43 |
2 | 0.386 |
3 | 0.356 |
4 | 0.311 |
5 | 0.303 |
6 | 0.296 |
7 | 0.293 |
8 | 0.286 |
9 | 0.28 |
10 | 0.272 |
11 | 0.263 |
12 | 0.261 |
13 | 0.256 |
14 | 0.252 |
15 | 0.255 |
16 | 0.246 |
17 | 0.247 |
18 | 0.248 |
19 | 0.244 |
20 | 0.24 |
21 | 0.24 |
22 | 0.234 |
23 | 0.234 |
24 | 0.229 |
25 | 0.231 |
26 | 0.23 |
27 | 0.236 |
28 | 0.227 |
29 | 0.224 |
30 | 0.221 |
31 | 0.221 |
32 | 0.221 |
33 | 0.222 |
34 | 0.224 |
35 | 0.222 |
36 | 0.215 |
37 | 0.214 |
38 | 0.208 |
39 | 0.208 |
40 | 0.205 |
41 | 0.206 |
42 | 0.204 |
43 | 0.204 |
44 | 0.201 |
45 | 0.2 |
46 | 0.199 |
47 | 0.197 |
48 | 0.195 |
49 | 0.199 |
50 | 0.195 |