learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.575	1.0	735	0.2944	36.3769	13.9503
0.4698	2.0	1470	0.2650	33.3117	12.4164
0.4318	3.0	2205	0.2514	34.1550	13.6125
0.3622	4.0	2940	0.2498	31.4142	12.2337
0.2891	5.0	3675	0.2525	29.8411	11.5257
0.2421	6.0	4410	0.2621	28.7869	11.4193
0.1971	7.0	5145	0.2737	28.8842	11.7478
0.1624	8.0	5880	0.2841	27.5057	11.0422
0.137	9.0	6615	0.3008	26.8570	10.8687
0.1203	10.0	7350	0.3123	26.8407	10.9659

AleksanderObuchowski/Qwen3-ASR-1.7B-med-pl-lora-decoder-only

Qwen3-ASR-1.7B-med-pl-lora-decoder-only