learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 25
num_epochs: 12
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4.2676	0.2941	50	1.3063	0.9667	0.3346
0.7992	0.5882	100	1.0971	0.9159	0.2819
0.7067	0.8824	150	0.9256	0.8730	0.2374
0.6357	1.1765	200	0.9270	0.9032	0.2396
0.6663	1.4706	250	0.8971	0.8794	0.2409
0.6652	1.7647	300	0.8835	0.8730	0.2374

tadgeis/mms-1b-ckt-pooled

mms-1b-ckt-pooled