learning_rate: 0.0001
train_batch_size: 2
eval_batch_size: 4
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: 500
training_steps: 40000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.6306	1.9531	2500	0.8088	52.2670
0.2802	3.9062	5000	0.7200	39.6101
0.0919	5.8594	7500	0.7014	41.1018
0.0711	7.8125	10000	0.7334	36.9960
0.0522	9.7656	12500	0.6971	34.1161
0.0440	11.7188	15000	0.7129	32.5949
0.0159	13.6719	17500	0.7492	33.7912
0.0174	15.625	20000	0.7170	31.4577
0.0093	17.5781	22500	0.7107	30.3205
0.0035	19.5312	25000	0.7096	28.4301
0.0032	21.4844	27500	0.6960	28.2824
0.0004	23.4375	30000	0.6746	28.6516
0.0001	25.3906	32500	0.6863	26.5987
0.0000	27.3438	35000	0.6776	26.3624
0.0000	29.2969	37500	0.6740	25.7421
0.0000	31.25	40000	0.6676	25.3729

Eimhin03/output_model_shunyalabs_data_base_model_proper_feature_extractor_more

output_model_shunyalabs_data_base_model_proper_feature_extractor_more