learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.0079	1.0753	500	0.4404	0.4562
0.3609	2.1505	1000	0.3641	0.3821
0.2676	3.2258	1500	0.3509	0.3837
0.2073	4.3011	2000	0.3607	0.3595
0.1587	5.3763	2500	0.3773	0.3688
0.1163	6.4516	3000	0.4026	0.3778
0.0803	7.5269	3500	0.4370	0.4012
0.0542	8.6022	4000	0.4641	0.4035
0.0366	9.6774	4500	0.4942	0.4008
0.0259	10.7527	5000	0.5078	0.4034

misterkissi/whisper-small-shona

whisper-small-shona