README.md

metadata

library_name: keras
tags:
  - text-generation

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	Train Accuracy	Validation Loss	Validation Accuracy
1	0.071	0.977	0.12	0.957
2	0.063	0.98	0.102	0.963
3	0.061	0.98	0.094	0.967
4	0.051	0.983	0.091	0.969
5	0.052	0.983	0.093	0.964
6	0.05	0.983	0.073	0.975
7	0.039	0.988	0.069	0.976
8	0.054	0.983	0.103	0.965
9	0.04	0.987	0.063	0.977
10	0.033	0.99	0.141	0.953
11	0.037	0.989	0.083	0.971
12	0.04	0.987	0.069	0.976
13	0.027	0.992	0.053	0.98
14	0.03	0.991	0.071	0.974
15	0.03	0.991	0.061	0.979
16	0.029	0.991	0.048	0.982
17	0.037	0.989	0.091	0.97
18	0.023	0.993	0.039	0.987
19	0.028	0.991	0.058	0.981
20	0.022	0.994	0.057	0.98
21	0.023	0.993	0.038	0.987
22	0.034	0.99	0.054	0.982
23	0.026	0.993	0.12	0.959
24	0.027	0.992	0.034	0.989
25	0.022	0.993	0.047	0.984
26	0.02	0.994	0.062	0.978
27	0.024	0.993	0.043	0.985
28	0.019	0.994	0.057	0.979
29	0.017	0.995	0.054	0.982
30	0.021	0.994	0.033	0.989

Model Plot

View Model Plot