learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 24
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: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
No log	1.2143	5	24.3873	1.9589	1.9099
No log	2.4286	10	24.3874	1.9639	1.9189
No log	3.6429	15	24.3867	1.9661	1.9178
No log	4.8571	20	24.3859	1.9517	1.8992
No log	6.2143	25	24.3852	1.9560	1.9067
No log	7.4286	30	24.3839	1.9466	1.8967
No log	8.6429	35	24.3815	1.9358	1.8842
No log	9.8571	40	24.3787	1.9278	1.8703

Aditya3107/myst-wav2vec2-xlsr-300m-03012025

myst-wav2vec2-xlsr-300m-03012025