learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
num_epochs: 70
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.3203	1.0	7125	0.3178	0.4156	0.0762
0.2149	2.0	14250	0.3008	0.4194	0.0759
0.2093	3.0	21375	0.3015	0.4017	0.0743
0.2064	4.0	28500	0.3043	0.4114	0.0745
0.2042	5.0	35625	0.2955	0.4069	0.0753
0.2022	6.0	42750	0.3009	0.4088	0.0750
0.1989	7.0	49875	0.3088	0.4092	0.0756
0.1983	8.0	57000	0.2980	0.4081	0.0754
0.1969	9.0	64125	0.2951	0.4040	0.0741
0.1957	10.0	71250	0.2899	0.4039	0.0745
0.1945	11.0	78375	0.2896	0.4083	0.0744
0.1936	12.0	85500	0.2931	0.4038	0.0743
0.1929	13.0	92625	0.2897	0.4098	0.0743

asr-africa/mms-1b-all-lg-CV-Fleurs_filtered-100hrs-v1

mms-1b-all-lg-CV-Fleurs_filtered-100hrs-v1