learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 664
training_steps: 9480

Training Loss	Epoch	Step	Validation Loss	Wer	Iu F1	Iu Tp	Iu Fp	Iu Fn
0.9730	1.0	1185	0.4946	0.2584	0.7377	464	218	112
0.6296	2.0	2370	0.4878	0.2588	0.7502	413	112	163
0.3408	3.0	3555	0.5017	0.2308	0.7480	457	189	119
0.1610	4.0	4740	0.5694	0.2291	0.7625	451	156	125
0.0614	5.0	5925	0.6215	0.2266	0.7622	444	145	132
0.0283	6.0	7110	0.6950	0.2212	0.7707	447	137	129
0.0096	7.0	8295	0.7433	0.2207	0.7730	446	132	130
0.0029	8.0	9480	0.7838	0.2145	0.7730	441	124	135

nilc-nlp/psst-model-8e-1s-hp600hz

psst-model-8e-1s-hp600hz