   Epoch	Training Loss	Validation Loss	Mse	Rmse	Mae	R2
1	1.592900	1.618959	1.618959	1.272383	0.807994	0.222083
2	1.547400	1.584446	1.584446	1.258748	0.783680	0.238667
3	1.470800	1.593225	1.593225	1.262230	0.772598	0.234448
4	1.418500	1.417212	1.417212	1.190467	0.755947	0.319023
5	1.348600	1.350606	1.350606	1.162156	0.733652	0.351028
6	1.274200	1.318531	1.318531	1.148273	0.716024	0.366440
{}
transformers pytorch tensorboard bert endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #endpoints_compatible #region-us 

   Epoch	Training Loss	Validation Loss	Mse	Rmse	Mae	R2
1	1.592900	1.618959	1.618959	1.272383	0.807994	0.222083
2	1.547400	1.584446	1.584446	1.258748	0.783680	0.238667
3	1.470800	1.593225	1.593225	1.262230	0.772598	0.234448
4	1.418500	1.417212	1.417212	1.190467	0.755947	0.319023
5	1.348600	1.350606	1.350606	1.162156	0.733652	0.351028
6	1.274200	1.318531	1.318531	1.148273	0.716024	0.366440
TAGS
#transformers #pytorch #tensorboard #bert #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #tensorboard #bert #endpoints_compatible #region-us 
