learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 16
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: 250
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Bleu	Cer
0.7743	1.0	1765	0.7391	48.49	0.0912
0.5622	2.0	3530	0.6628	51.18	0.0905
0.3959	3.0	5295	0.6445	52.41	0.0869
0.2465	4.0	7060	0.6916	54.07	0.0847
0.1489	5.0	8825	0.7436	55.23	0.0851
0.0844	6.0	10590	0.7834	56.07	0.0832
0.0483	7.0	12355	0.8079	56.27	0.0826
0.0284	8.0	14120	0.8208	57.41	0.0816
0.0173	9.0	15885	0.8438	57.33	0.0801
0.0134	10.0	17650	0.8496	57.57	0.0789

irudachirath/sinhala-asr-correction

sinhala-asr-correction