learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 100
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.3917	1.0	1	4.8753	98.5075	94.7368
2.3917	2.0	2	4.8739	98.5075	94.7368
2.3911	3.0	3	4.8704	98.5075	94.7368
2.3893	4.0	4	4.8605	98.5075	94.7368
2.3856	5.0	5	4.8488	98.5075	94.7368
2.3801	6.0	6	4.8313	98.5075	94.7368
2.3728	7.0	7	4.8101	98.5075	94.7368
2.3642	8.0	8	4.7857	98.5075	94.7368
2.354	9.0	9	4.7571	98.5075	94.7368
2.3421	10.0	10	4.7262	98.5075	94.7368
2.3302	11.0	11	4.6914	98.5075	94.7368

poojastl2024/whisper-large-v3-lora-bn-en-banking

whisper-large-v3-lora-bn-en-banking