Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 1349
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Wer
1.1859	1.0	1350	0.5450	0.0069	0.343
0.8970	2.0	2700	0.4383	0.0069	0.305
0.7007	3.0	4050	0.4032	0.0069	0.288
0.6468	4.0	5400	0.3804	0.0069	0.278
0.5917	5.0	6750	0.3769	0.0069	0.27
0.5619	6.0	8100	0.3683	0.0069	0.264
0.4550	7.0	9450	0.3668	0.0069	0.262
0.4735	8.0	10800	0.3631	0.0069	0.256
0.3967	9.0	12150	0.3662	0.0069	0.253
0.4371	10.0	13500	0.3592	0.0069	0.252