learning_rate: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.7754	0.7526	400	inf	0.7222	0.2516
0.5299	1.5042	800	inf	0.6032	0.2017
0.4254	2.2559	1200	inf	0.5733	0.1903
0.4036	3.0075	1600	inf	0.5588	0.1870
0.3805	3.7601	2000	inf	0.5613	0.1887
0.3593	4.5118	2400	inf	0.5075	0.1777
0.3289	5.2634	2800	inf	0.5155	0.1778
0.3259	6.0151	3200	inf	0.5583	0.1901
0.305	6.7676	3600	inf	0.5089	0.1736

DipsankarSinha/HO_ASR-Model_KIIT2025_v3

HO_ASR-Model_KIIT2025_v3