learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	62	0.2853	0.3103	0.3648	0.3354	0.8888
0.3754	2.0	124	0.2557	0.3672	0.4783	0.4155	0.8958
0.3754	3.0	186	0.2704	0.3920	0.4983	0.4388	0.8972
0.1772	4.0	248	0.2925	0.4431	0.5028	0.4711	0.9023
0.096	5.0	310	0.3442	0.4179	0.5184	0.4628	0.8984
0.096	6.0	372	0.3654	0.4395	0.5295	0.4803	0.9018
0.0607	7.0	434	0.3743	0.4698	0.5184	0.4929	0.9063
0.0607	8.0	496	0.4196	0.4614	0.5250	0.4912	0.9059
0.0429	9.0	558	0.4325	0.4472	0.5417	0.4899	0.9025
0.0298	10.0	620	0.4474	0.4609	0.5373	0.4961	0.9040

gokceuludogan/bert-base-turkish-cased_hate_span_detection_final

bert-base-turkish-cased_hate_span_detection_final