Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 256
eval_batch_size: 256
seed: 10
optimizer: Use 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: 50

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
2.8706	1.0	23	2.4625	0.0991	0.1000	0.0995
1.7766	2.0	46	1.3387	0.6421	0.6371	0.6396
1.1649	3.0	69	0.9883	0.7530	0.7470	0.7500
0.8446	4.0	92	0.9501	0.7802	0.7827	0.7814
0.6587	5.0	115	0.9120	0.7839	0.7824	0.7831
0.5587	6.0	138	0.8918	0.7876	0.7880	0.7878
0.5104	7.0	161	0.9523	0.7822	0.7828	0.7825
0.4506	8.0	184	0.9421	0.7916	0.7923	0.7919
0.4174	9.0	207	1.0925	0.7876	0.7937	0.7906
0.3229	10.0	230	0.8792	0.7969	0.7946	0.7958
0.3096	11.0	253	0.9665	0.7887	0.7884	0.7886
0.2918	12.0	276	0.8212	0.8017	0.7992	0.8004
0.2479	13.0	299	0.8791	0.8055	0.8037	0.8046
0.2409	14.0	322	0.8217	0.7970	0.7930	0.7950
0.2071	15.0	345	0.8929	0.7998	0.7971	0.7984
0.1907	16.0	368	0.8189	0.8027	0.7988	0.8007
0.1825	17.0	391	0.9393	0.7924	0.7899	0.7912
0.1634	18.0	414	0.8722	0.8046	0.8023	0.8035
0.1531	19.0	437	0.9629	0.8037	0.8023	0.8030
0.153	20.0	460	1.0063	0.7971	0.7947	0.7959
0.1409	21.0	483	0.9757	0.7968	0.7942	0.7955