learning_rate: 0.0001
train_batch_size: 48
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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: 5
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.7309	0.3125	5	1.2018	37.5751
0.6763	0.625	10	1.1315	35.5722
0.6032	0.9375	15	1.0619	34.3409
0.5356	1.25	20	0.9966	34.8307
0.5222	1.5625	25	0.9379	34.5154
0.4771	1.875	30	0.8873	33.3646
0.4776	2.1875	35	0.8465	31.2913
0.4276	2.5	40	0.8170	29.4964
0.4784	2.8125	45	0.8001	28.6678

greenw0lf/whisper-mmr-embeds-5h

whisper-mmr-embeds-5h