learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.3253	1.2441	500	0.2596	0.5616
0.1357	2.4882	1000	0.1269	0.2757
0.0577	3.7323	1500	0.1112	0.2695
0.0278	4.9763	2000	0.1015	0.2262
0.0143	6.2192	2500	0.1062	0.2645
0.0087	7.4633	3000	0.1104	0.2590
0.0066	8.7073	3500	0.1153	0.2066
0.0049	9.9514	4000	0.1138	0.2364
0.0039	11.1943	4500	0.1100	0.2005
0.0034	12.4384	5000	0.1111	0.2074

misterkissi/whisper-small-fongbe

wisper-small-fongbe