learning_rate: 0.0004
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use 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: 132
num_epochs: 11
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	88	0.2173	32.7078
0.9256	2.0	176	0.0358	13.6729
0.1103	3.0	264	0.1075	45.6658
0.0399	4.0	352	0.0939	68.9008
0.0319	5.0	440	0.0241	19.1242
0.0144	6.0	528	0.0252	18.2306
0.01	7.0	616	0.0300	99.3744
0.0023	8.0	704	0.0268	97.9446
0.0023	9.0	792	0.0301	97.3190
0.0003	10.0	880	0.0301	97.3190
0.0	11.0	968	0.0301	97.3190

susmitabhatt/whisper-a-nomi-ls

whisper-a-nomi-ls