learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 2
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
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.8211	0.2632	5	1.8901	4083.3333
3.1022	0.5263	10	3.5744	88.8889
1.4135	0.7895	15	1.0322	111.1111
0.4287	1.0526	20	1.4105	88.8889
1.0782	1.3158	25	1.1904	100.0
1.7946	1.5789	30	1.0665	111.1111
0.9281	1.8421	35	0.6988	88.8889
0.5404	2.1053	40	0.4681	105.5556
0.8641	2.3684	45	0.4852	111.1111
0.4218	2.6316	50	0.5601	100.0
0.5228	2.8947	55	0.4776	100.0
0.6757	3.1579	60	0.3882	94.4444
0.7486	3.4211	65	0.5367	105.5556
0.4112	3.6842	70	0.3424	88.8889
0.3417	3.9474	75	0.4473	100.0
0.6627	4.2105	80	0.5523	111.1111
0.4566	4.4737	85	0.5891	88.8889
0.934	4.7368	90	0.4701	100.0
0.4693	5.0	95	0.4066	100.0
0.4143	5.2632	100	0.3859	100.0
0.6106	5.5263	105	0.4182	88.8889
0.6801	5.7895	110	0.4446	100.0
0.371	6.0526	115	0.4075	88.8889
0.4851	6.3158	120	0.4135	88.8889
0.4554	6.5789	125	0.3927	111.1111
0.3334	6.8421	130	0.3963	100.0
0.385	7.1053	135	0.3853	100.0
0.5169	7.3684	140	0.3630	100.0
0.4169	7.6316	145	0.3652	83.3333
0.4318	7.8947	150	0.3792	100.0
0.3229	8.1579	155	0.4093	100.0
0.3431	8.4211	160	0.4110	100.0
0.4228	8.6842	165	0.3982	100.0
0.3957	8.9474	170	0.3860	88.8889
0.5902	9.2105	175	0.3858	88.8889
0.468	9.4737	180	0.3835	88.8889
0.397	9.7368	185	0.3810	88.8889
0.4073	10.0	190	0.3766	88.8889

Sammyeazzy/whisper-small-benin

Whisper Small Benin- Samuel Easy