learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
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	F1	Precision	Recall	Accuracy
No log	1.0	32	0.4981	0.3653	0.3512	0.3805	0.8351
No log	2.0	64	0.3910	0.4746	0.5356	0.4261	0.8605
No log	3.0	96	0.3475	0.5268	0.5207	0.5330	0.8787
No log	4.0	128	0.3710	0.5987	0.5383	0.6745	0.8767
No log	5.0	160	0.3714	0.6032	0.5539	0.6619	0.8840
No log	6.0	192	0.3747	0.6174	0.5936	0.6431	0.8915
No log	7.0	224	0.4239	0.6223	0.6128	0.6321	0.8944
No log	8.0	256	0.4598	0.6101	0.5705	0.6557	0.8900
No log	9.0	288	0.4758	0.6234	0.5867	0.6651	0.8924
No log	10.0	320	0.4777	0.6174	0.5872	0.6509	0.8932

meryemmm22/turkish-ner-fold-1

turkish-ner-fold-1