learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
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_steps: 500
training_steps: 18000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.0974	1.2804	1000	0.1187	29.9568
0.0669	2.5608	2000	0.0974	25.7646
0.045	3.8412	3000	0.0938	24.6229
0.0207	5.1216	4000	0.1090	24.4019
0.0159	6.4020	5000	0.1179	23.8895
0.0094	7.6825	6000	0.1273	23.3044
0.005	8.9629	7000	0.1387	23.0443
0.0014	10.2433	8000	0.1502	22.5476
0.0007	11.5237	9000	0.1589	22.2849
0.0002	12.8041	10000	0.1607	22.1003

Training Loss	Epoch	Step	Validation Loss	Wer
0.070200	-	1000	0.056950	17.876652
0.063900	-	2000	0.057231	17.571240
0.055600	-	3000	0.055906	17.123214
0.051300	-	4000	0.053482	17.294083
0.050100	-	5000	0.051127	16.434357
0.045300	-	6000	0.048763	15.636520
0.046700	-	7000	0.046148	15.137368
0.037200	-	8000	0.043609	14.618034

aipanjab/whisper-large-v3-turbo-pa

Whisper-large-v3-turbo-pa