learning_rate: 2e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 10
total_train_batch_size: 20
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: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2	Spearman Correlation
3.3516	1.0	97	0.1584	0.1863	0.3310	0.0343	nan
1.8064	2.0	194	0.2139	0.2374	0.4358	-0.2306	0.1389
1.4958	3.0	291	0.1842	0.2079	0.3739	-0.0777	0.1741
1.1016	4.0	388	0.1668	0.1920	0.3385	0.0048	0.2140
0.7270	5.0	485	0.1574	0.1897	0.3120	0.0163	0.1857
0.4099	6.0	582	0.1947	0.2221	0.3877	-0.1517	0.2582
0.2262	7.0	679	0.1598	0.1982	0.3105	-0.0275	0.2665
0.1335	8.0	776	0.1585	0.1877	0.3180	0.0271	0.1926
0.0647	9.0	873	0.1563	0.1843	0.3170	0.0444	0.1971
0.0282	10.0	970	0.1565	0.1842	0.3174	0.0451	0.2187

athirorg/USS-reward-model-baseline_l1

USS-reward-model-baseline_l1