metadata

license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: default
    results: []

default

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0664	0.06	20	1.0651	0.4448
1.0423	0.12	40	1.0188	0.5034
1.0137	0.18	60	0.9871	0.5279
1.0027	0.24	80	0.9889	0.5308
0.9914	0.3	100	0.9763	0.5308
0.9826	0.36	120	0.9713	0.5388
0.9788	0.42	140	0.9766	0.5313
0.984	0.48	160	0.9590	0.5398
0.9694	0.54	180	0.9535	0.5423
0.9676	0.6	200	0.9274	0.5672
0.9753	0.66	220	0.9126	0.5736
0.9557	0.72	240	0.9053	0.5760
0.9508	0.78	260	0.9179	0.5767
0.9355	0.84	280	0.8937	0.5892
0.9	0.9	300	0.8469	0.6130
0.993	0.96	320	0.8615	0.6047
0.8527	1.02	340	0.7896	0.6439
0.966	1.08	360	1.0124	0.5316
0.8441	1.14	380	0.7911	0.6489
0.8226	1.2	400	0.7472	0.6700
0.7948	1.26	420	0.7664	0.6581
0.7428	1.32	440	0.6994	0.6992
0.7109	1.38	460	0.6511	0.7284
0.6882	1.44	480	0.5988	0.7577
0.7296	1.5	500	0.5993	0.7564
0.5677	1.57	520	0.5068	0.8126
0.5096	1.63	540	0.4273	0.8520
0.4452	1.69	560	0.3796	0.8722
0.3836	1.75	580	0.3855	0.8757
0.3783	1.81	600	0.3586	0.8894
0.3496	1.87	620	0.3210	0.8972
0.3585	1.93	640	0.3006	0.9035
0.345	1.99	660	0.3054	0.9014
0.3327	2.05	680	0.3174	0.8913
0.2962	2.11	700	0.2770	0.9122
0.3032	2.17	720	0.2979	0.9062
0.27	2.23	740	0.2973	0.8998
0.2912	2.29	760	0.2467	0.9222
0.2412	2.35	780	0.2761	0.9113
0.2746	2.41	800	0.2410	0.9260
0.2637	2.47	820	0.2447	0.9221
0.2605	2.53	840	0.2475	0.9237
0.2517	2.59	860	0.2590	0.9265
0.2453	2.65	880	0.2248	0.9300
0.2247	2.71	900	0.2285	0.9273
0.2402	2.77	920	0.2304	0.9306
0.2033	2.83	940	0.2228	0.9319
0.2315	2.89	960	0.2275	0.9271
0.2231	2.95	980	0.2115	0.9343