learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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	Accuracy	F1 Macro
1.3430	1.0	90	1.3332	0.5709	0.4273
0.8283	2.0	180	0.9328	0.7087	0.6170
0.5091	3.0	270	0.7311	0.7795	0.7332
0.4655	4.0	360	0.6623	0.8150	0.7875
0.2564	5.0	450	0.6396	0.7953	0.7549
0.1404	6.0	540	0.6226	0.8071	0.7742
0.1455	7.0	630	0.6156	0.8150	0.7847
0.0812	8.0	720	0.6381	0.8228	0.7917
0.0880	9.0	810	0.6621	0.8150	0.7831
0.0455	10.0	900	0.6659	0.8150	0.7816

Ayodelesamuel1/project_type_classifier

project_type_classifier