learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training Loss	Epoch	Step	Validation Loss
0.2681	0.16	100	0.2446
0.176	0.32	200	0.1755
0.15	0.48	300	0.1536
0.1418	0.64	400	0.1301
0.1225	0.8	500	0.1217
0.1104	0.96	600	0.1114
0.0804	1.12	700	0.1133
0.0833	1.28	800	0.1018
0.0796	1.44	900	0.1016
0.0812	1.6	1000	0.0986
0.0874	1.76	1100	0.0966
0.0738	1.92	1200	0.0912
0.0521	2.08	1300	0.0951
0.0508	2.24	1400	0.0918
0.0512	2.4	1500	0.0898
0.054	2.56	1600	0.0933
0.053	2.7200	1700	0.0928
0.0562	2.88	1800	0.0889

Bisher/train_run-qwen2.5-0.5b-instruct-arabic-diacritization-fadel-10k-left-3e

train_run-qwen2.5-0.5b-instruct-arabic-diacritization-fadel-10k-left-3e