learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 500
training_steps: 6000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.4487	3.0143	500	1.2483	56.6216
0.1295	7.0057	1000	1.2956	57.3096
0.0439	10.02	1500	1.3855	63.5135
0.0128	14.0113	2000	1.4395	57.5799
0.003	18.0027	2500	1.6753	63.6118
0.001	21.017	3000	1.6112	63.0221
0.0005	25.0083	3500	1.7148	63.8206
0.0003	28.0227	4000	1.6958	72.4816
0.0003	32.014	4500	1.7403	70.8600
0.0002	36.0053	5000	1.7782	79.4840
0.0002	39.0197	5500	1.7614	72.3587
0.0002	43.011	6000	1.7755	68.7469

BBB1234/Whisper_Base

Whisper_Base