learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 200
training_steps: 2000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.6845	0.1	200	0.6603	44.2810
0.4908	1.042	400	0.5130	37.1241
0.4007	1.142	600	0.4811	34.9633
0.3474	2.084	800	0.4633	34.6444
0.3016	3.026	1000	0.4581	34.0858
0.2758	3.126	1200	0.4647	34.7391
0.242	4.068	1400	0.4663	34.1438
0.2211	5.01	1600	0.4726	35.0309
0.1916	5.11	1800	0.4766	34.0607
0.1989	6.052	2000	0.4755	34.2849

teckedd/whisper_small-waxal_akan-asr-v1

Whisper Small SerendepifyLabs Twi ASR