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: 23
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.3466	0.2911	23	0.9769	35.7936
0.5737	0.5823	46	0.5062	23.4744
0.4855	0.8734	69	0.4380	21.5956
0.3697	1.1646	92	0.4151	20.0154
0.4426	1.4557	115	0.4030	18.6600
0.3947	1.7468	138	0.3952	18.9721
0.4336	2.0380	161	0.3906	19.3411
0.3908	2.3291	184	0.3869	19.0962
0.41	2.6203	207	0.3861	19.3881
0.3571	2.9114	230	0.3849	19.4115

greenw0lf/whisper-ssl-embeds-5h

whisper-ssl-embeds-5h