learning_rate: 2e-05
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: 10

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0925	1.0	3272	0.0913	0.6363	0.6521	0.6441	0.9624
0.0707	2.0	6544	0.0937	0.6491	0.6611	0.6550	0.9637
0.0607	3.0	9816	0.1028	0.6480	0.6591	0.6535	0.9626
0.0522	4.0	13088	0.1076	0.6175	0.6910	0.6522	0.9610
0.0485	5.0	16360	0.1087	0.6732	0.6208	0.6459	0.9640
0.0472	6.0	19632	0.1140	0.6431	0.6334	0.6382	0.9622
0.0454	7.0	22904	0.1232	0.6113	0.7110	0.6574	0.9609
0.0431	8.0	26176	0.1285	0.6750	0.6237	0.6484	0.9636
0.0427	9.0	29448	0.1301	0.6273	0.6609	0.6437	0.9610
0.0409	10.0	32720	0.1312	0.6382	0.6581	0.6480	0.9631

judithrosell/Final_Biomaterials_ST_single_dataset

Final_Biomaterials_ST_single_dataset