learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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	F1
0.6787	1.0	13	0.6313	0.6471	0.3571
0.5693	2.0	26	0.5115	0.7843	0.6667
0.4117	3.0	39	0.3694	0.8431	0.8095
0.2801	4.0	52	0.3536	0.8431	0.8000
0.2099	5.0	65	0.3527	0.8627	0.8293
0.141	6.0	78	0.2759	0.8824	0.8571
0.0855	7.0	91	0.2467	0.8824	0.8571
0.0528	8.0	104	0.3379	0.8627	0.8205
0.035	9.0	117	0.1741	0.9412	0.9333
0.0299	10.0	130	0.3975	0.8824	0.85
0.0123	11.0	143	0.2882	0.9216	0.9091
0.0077	12.0	156	0.3869	0.9020	0.8780
0.0034	13.0	169	0.2488	0.9216	0.9048
0.0019	14.0	182	0.2398	0.9412	0.9333
0.0018	15.0	195	0.3282	0.9216	0.9048
0.0015	16.0	208	0.3737	0.9020	0.8780
0.0015	17.0	221	0.3222	0.9216	0.9091
0.0012	18.0	234	0.3025	0.9216	0.9091
0.0016	19.0	247	0.3345	0.9216	0.9091
0.0012	20.0	260	0.3477	0.9216	0.9091

ramesh070/indicbert-hatespeechdetection-tamil

indicbert-hatespeechdetection-tamil