learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 40

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Wer	Cer	Normalized Wer	Normalized Cer	Semantic Error
2.5623	3.0864	1000	2.4865	0.0089	1.0	0.7708	1.0	0.7672	0.9412
0.4631	6.1728	2000	1.2688	0.0089	0.5892	0.2926	0.5495	0.2802	0.3809
0.2057	9.2593	3000	1.2994	0.0089	0.5759	0.2897	0.5344	0.2788	0.3366
0.1254	12.3457	4000	1.4122	0.0089	0.5553	0.2881	0.5162	0.2771	0.3316
0.0863	15.4321	5000	1.6442	0.0089	0.5703	0.2934	0.5259	0.2803	0.2768
0.0424	18.5185	6000	1.8348	0.0089	0.5611	0.2893	0.5206	0.2783	0.3313
0.0189	21.6049	7000	2.1363	0.0089	0.5695	0.3017	0.5274	0.2886	0.3647

OyellaA/MMS_cdli_ugandan_english_nonstandard_speech_finetune_v1

MMS_cdli_ugandan_english_nonstandard_speech_finetune_v1