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: 332
training_steps: 4740

Training Loss	Epoch	Step	Validation Loss	Wer	Iu F1	Iu Tp	Iu Fp	Iu Fn
1.0729	0.4998	592	0.5149	0.2641	0.6233	402	312	174
0.9312	0.9996	1184	0.4770	0.2695	0.7009	457	271	119
0.5909	1.4989	1776	0.4784	0.2608	0.7393	380	72	196
0.5226	1.9987	2368	0.4648	0.2585	0.7708	454	148	122
0.2837	2.4981	2960	0.4956	0.2201	0.7619	448	152	128
0.2858	2.9979	3552	0.4899	0.2193	0.7742	468	165	108
0.1001	3.4973	4144	0.5498	0.2149	0.7788	456	139	120
0.0915	3.9970	4736	0.5480	0.2154	0.7853	461	137	115
0.0915	4.0	4740	0.5480	0.2153	0.7853	461	137	115

nilc-nlp/psst-model-4e-1s-difflib

psst-model-4e-1s-difflib