learning_rate: 3.322508414488167e-05
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
0.32	1.0	61	0.1403	0.8883	0.0	0.0	0.0
0.2689	2.0	122	0.1174	0.8883	0.0	0.0	0.0
0.2466	3.0	183	0.1255	0.8883	0.0	0.0	0.0
0.2297	4.0	244	0.0992	0.8883	0.0	0.0	0.0
0.2138	5.0	305	0.1326	0.8986	0.5690	0.3793	0.4552
0.1877	6.0	366	0.1163	0.8909	0.5179	0.3333	0.4056
0.1558	7.0	427	0.1209	0.8947	0.5397	0.3908	0.4533
0.135	8.0	488	0.1446	0.8896	0.5056	0.5172	0.5114
0.1208	9.0	549	0.1435	0.8986	0.5455	0.5517	0.5486
0.1212	10.0	610	0.2261	0.8665	0.4309	0.6092	0.5048
0.1011	11.0	671	0.1425	0.8973	0.5714	0.3218	0.4118
0.0918	12.0	732	0.2365	0.8832	0.4811	0.5862	0.5285
0.0892	13.0	793	0.1622	0.8935	0.525	0.4828	0.5030
0.0593	14.0	854	0.1927	0.8922	0.5273	0.3333	0.4085
0.0552	15.0	915	0.3540	0.8819	0.4762	0.5747	0.5208
0.0523	16.0	976	0.2782	0.8909	0.5119	0.4943	0.5029
0.0481	17.0	1037	0.2596	0.8922	0.5195	0.4598	0.4878
0.0435	18.0	1098	0.2729	0.8947	0.5333	0.4598	0.4938
0.0326	19.0	1159	0.2382	0.8935	0.5385	0.3218	0.4029
0.0418	20.0	1220	0.2525	0.8947	0.5424	0.3678	0.4384

youralien/roberta-Reflections-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

roberta-Reflections-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current