learning_rate: 9.49118803819061e-06
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3453	1.0	80	0.2368	0.8845	0.4444	0.1379	0.2105
0.2686	2.0	160	0.1995	0.8883	0.0	0.0	0.0
0.2467	3.0	240	0.2582	0.8755	0.4561	0.5977	0.5174
0.2346	4.0	320	0.1663	0.9012	0.6923	0.2069	0.3186
0.2153	5.0	400	0.1441	0.9037	0.8	0.1839	0.2991
0.2003	6.0	480	0.2784	0.8267	0.3571	0.6897	0.4706
0.1806	7.0	560	0.1637	0.8999	0.5495	0.5747	0.5618
0.1477	8.0	640	0.2062	0.8639	0.4275	0.6437	0.5138
0.1234	9.0	720	0.2175	0.8626	0.4167	0.5747	0.4831
0.1116	10.0	800	0.1914	0.8845	0.4810	0.4368	0.4578
0.0959	11.0	880	0.3313	0.8485	0.3916	0.6437	0.4870
0.0933	12.0	960	0.3027	0.8575	0.4048	0.5862	0.4789
0.0796	13.0	1040	0.3267	0.8575	0.4032	0.5747	0.4739
0.0688	14.0	1120	0.2958	0.8819	0.4731	0.5057	0.4889
0.0723	15.0	1200	0.4122	0.8575	0.4032	0.5747	0.4739
0.048	16.0	1280	0.5274	0.8447	0.3851	0.6552	0.4851
0.0504	17.0	1360	0.5241	0.8562	0.4031	0.5977	0.4815
0.0353	18.0	1440	0.4845	0.8601	0.4098	0.5747	0.4785
0.0485	19.0	1520	0.5141	0.8562	0.4031	0.5977	0.4815
0.0481	20.0	1600	0.4328	0.8678	0.4273	0.5402	0.4772

youralien/roberta-reflections-goodareas

roberta-Reflections-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current