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
2.5604	1.0	23	2.5837	0.1641	0.1684	0.1663
1.6885	2.0	46	2.1112	0.4817	0.4723	0.4770
1.0625	3.0	69	1.5126	0.5978	0.6087	0.6032
0.7028	4.0	92	1.7524	0.6360	0.6605	0.6482
0.4906	5.0	115	1.4309	0.6410	0.6400	0.6405
0.4045	6.0	138	1.7941	0.6649	0.6729	0.6689
0.3196	7.0	161	1.4584	0.6809	0.6811	0.6810
0.2451	8.0	184	1.3930	0.6636	0.6588	0.6612
0.2024	9.0	207	1.3720	0.6676	0.6625	0.6650
0.206	10.0	230	1.3823	0.6622	0.6555	0.6589
0.1855	11.0	253	1.5228	0.6638	0.6598	0.6618
0.1549	12.0	276	1.3798	0.6693	0.6632	0.6663
0.1351	13.0	299	1.2772	0.6656	0.6556	0.6606
0.1358	14.0	322	1.4514	0.6670	0.6623	0.6647
0.1189	15.0	345	1.4984	0.6602	0.6537	0.6569
0.0982	16.0	368	1.2806	0.6705	0.6619	0.6662
0.0995	17.0	391	1.3375	0.6672	0.6589	0.6631
0.0896	18.0	414	1.3894	0.6575	0.6491	0.6533