learning_rate: 2e-05
train_batch_size: 128
eval_batch_size: 128
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
lr_scheduler_warmup_steps: 1360
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2496	1.0	543	0.2260	0.8401	0.8693
0.204	2.0	1086	0.1994	0.8840	0.8993
0.1757	3.0	1629	0.1651	0.9162	0.9220
0.1528	4.0	2172	0.1579	0.9177	0.9255
0.1374	5.0	2715	0.1347	0.9423	0.9450
0.1245	6.0	3258	0.1143	0.9618	0.9610
0.1144	7.0	3801	0.1043	0.9692	0.9686
0.1058	8.0	4344	0.0957	0.9741	0.9734
0.0993	9.0	4887	0.0932	0.9761	0.9761
0.0948	10.0	5430	0.0925	0.9761	0.9758

ttqdunggg/hybrid_lexical_hosting

hybrid_lexical_hosting