Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0.25	85	0.0878	0.9819	0.9787	0.9840	0.9813
No log	0.5	170	0.0763	0.9819	1.0	0.9626	0.9809
No log	0.75	255	0.0487	0.9880	0.9841	0.9911	0.9876
0.088	1.0	340	0.0411	0.9931	1.0	0.9857	0.9928
0.088	1.25	425	0.0417	0.9914	0.9964	0.9857	0.9910
0.088	1.5	510	0.0423	0.9923	0.9946	0.9893	0.9920
0.088	1.76	595	0.0404	0.9931	1.0	0.9857	0.9928
0.0325	2.01	680	0.0459	0.9931	1.0	0.9857	0.9928
0.0325	2.26	765	0.0336	0.9940	1.0	0.9875	0.9937
0.0325	2.51	850	0.0358	0.9931	1.0	0.9857	0.9928
0.0325	2.76	935	0.0413	0.9931	1.0	0.9857	0.9928
0.0236	3.01	1020	0.0423	0.9931	1.0	0.9857	0.9928
0.0236	3.26	1105	0.0399	0.9940	1.0	0.9875	0.9937
0.0236	3.51	1190	0.0380	0.9940	1.0	0.9875	0.9937
0.0236	3.76	1275	0.0357	0.9940	1.0	0.9875	0.9937
0.0222	4.01	1360	0.0364	0.9940	1.0	0.9875	0.9937
0.0222	4.26	1445	0.0351	0.9940	1.0	0.9875	0.9937
0.0222	4.51	1530	0.0329	0.9940	1.0	0.9875	0.9937
0.0222	4.76	1615	0.0337	0.9940	1.0	0.9875	0.9937

ShaunThayil/distilbert-training-1

distilbert-training-1