learning_rate: 0.0003
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: 1

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3984	0.0950	200	0.2186	0.9209
0.2901	0.1900	400	0.2057	0.9220
0.273	0.2850	600	0.2179	0.9163
0.2505	0.3800	800	0.1999	0.9335
0.2422	0.4751	1000	0.2175	0.9266
0.2338	0.5701	1200	0.2029	0.9278
0.2363	0.6651	1400	0.2006	0.9232
0.2284	0.7601	1600	0.1959	0.9255
0.2307	0.8551	1800	0.1993	0.9312
0.2111	0.9501	2000	0.2063	0.9300

ekiprop/SST-2-HEURISTIC-Standard_LoRA-Q_V-seed54

SST-2-HEURISTIC-Standard_LoRA-Q_V-seed54