Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	Fscore
No log	1.0	10	1.6444	{'accuracy': 0.26}	0.1588	0.26	0.1648
No log	2.0	20	1.5545	{'accuracy': 0.34}	0.1627	0.34	0.2201
No log	3.0	30	1.4539	{'accuracy': 0.37}	0.2916	0.37	0.2848
No log	4.0	40	1.4732	{'accuracy': 0.37}	0.1791	0.37	0.2413
No log	5.0	50	1.4704	{'accuracy': 0.4}	0.2899	0.4	0.3307
No log	6.0	60	1.5210	{'accuracy': 0.32}	0.2414	0.32	0.2445
No log	7.0	70	1.5561	{'accuracy': 0.39}	0.2985	0.39	0.3260
No log	8.0	80	1.6265	{'accuracy': 0.4}	0.3455	0.4	0.3649
No log	9.0	90	1.8333	{'accuracy': 0.4}	0.3562	0.4	0.3677
No log	10.0	100	1.9614	{'accuracy': 0.42}	0.3676	0.42	0.3764
No log	11.0	110	2.1350	{'accuracy': 0.34}	0.2982	0.34	0.3094
No log	12.0	120	2.2204	{'accuracy': 0.36}	0.3286	0.36	0.3250
No log	13.0	130	2.2811	{'accuracy': 0.4}	0.3965	0.4	0.3932
No log	14.0	140	2.3396	{'accuracy': 0.43}	0.3923	0.43	0.3945
No log	15.0	150	2.7531	{'accuracy': 0.39}	0.3292	0.39	0.3393
No log	16.0	160	2.6384	{'accuracy': 0.4}	0.3892	0.4	0.3841
No log	17.0	170	2.9815	{'accuracy': 0.39}	0.3379	0.39	0.3416
No log	18.0	180	3.0022	{'accuracy': 0.36}	0.3177	0.36	0.3142
No log	19.0	190	3.0047	{'accuracy': 0.38}	0.3291	0.38	0.3376
No log	20.0	200	3.0087	{'accuracy': 0.38}	0.3291	0.38	0.3376

cuadron11/suicide-distilbert-original-8-5

suicide-distilbert-original-8-5