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_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: 200
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Accuracy
0.2385	0.5587	100	0.0891	2.66	83.33
0.0307	1.1173	200	0.0155	0.83	93.71
0.0045	1.6760	300	0.0050	0.36	98.11
0.0021	2.2346	400	0.0039	0.18	98.43
0.0007	2.7933	500	0.0040	0.22	98.43
0.0004	3.3520	600	0.0053	0.36	97.48
0.0028	3.9106	700	0.0047	0.36	97.48
0.0002	4.4693	800	0.0042	0.18	98.43
0.0012	5.0279	900	0.0051	0.32	97.8

Iremozcelik/transcriber_sv-5.0

transcriber_sv-4.0