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
2.8738	1.0	23	2.4670	0.1765	0.1748	0.1756
1.4719	2.0	46	1.0280	0.7397	0.7404	0.7401
0.9801	3.0	69	0.8276	0.7956	0.7954	0.7955
0.783	4.0	92	0.7431	0.8197	0.8193	0.8195
0.5677	5.0	115	0.9075	0.8135	0.8152	0.8144
0.4407	6.0	138	0.7474	0.8267	0.8272	0.8269
0.3821	7.0	161	0.6753	0.8391	0.8371	0.8381
0.3036	8.0	184	0.8726	0.8246	0.8260	0.8253
0.269	9.0	207	0.7331	0.8311	0.8293	0.8302
0.2191	10.0	230	0.7562	0.8383	0.8368	0.8375
0.1854	11.0	253	0.7022	0.8365	0.8343	0.8354
0.1718	12.0	276	0.6650	0.8407	0.8382	0.8394
0.1685	13.0	299	0.7270	0.8350	0.8333	0.8342
0.1368	14.0	322	0.7532	0.8392	0.8376	0.8384
0.1351	15.0	345	0.8710	0.8379	0.8379	0.8379
0.1459	16.0	368	0.7801	0.8416	0.8398	0.8407
0.106	17.0	391	0.6833	0.8393	0.8380	0.8387