learning_rate: 5e-06
train_batch_size: 16
eval_batch_size: 32
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0

Training Loss	Epoch	Step	Validation Loss
0.1887	0.2632	100	0.1556
0.1915	0.5263	200	0.1515
0.1352	0.7895	300	0.1373
0.1611	1.0526	400	0.1280
0.117	1.3158	500	0.1194
0.1145	1.5789	600	0.1213
0.121	1.8421	700	0.1117
0.0586	2.1053	800	0.1188
0.0495	2.3684	900	0.1218
0.0818	2.6316	1000	0.1147
0.0688	2.8947	1100	0.1358
0.0151	3.1579	1200	0.1242
0.0296	3.4211	1300	0.1345
0.0243	3.6842	1400	0.1320
0.0407	3.9474	1500	0.1485
0.0129	4.2105	1600	0.1466
0.0138	4.4737	1700	0.1453
0.0272	4.7368	1800	0.1512
0.0202	5.0	1900	0.1497

Moustafa3092/saudi-eou-qwen-adapter-livkit

saudi_eou_qwen