learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 16
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
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	39	1.3360	65.4580
No log	2.0	78	0.5744	30.4389
No log	3.0	117	0.5146	26.1927
No log	4.0	156	0.5115	33.5878
No log	5.0	195	0.5258	25.0954
No log	6.0	234	0.5566	25.4294
No log	7.0	273	0.5865	25.8588
No log	8.0	312	0.6115	26.9084
No log	9.0	351	0.6361	25.6202
No log	10.0	390	0.6754	27.0515

Rziane/whisper-large-v3-turbo-CAENNAIS_GB_E1

whisper-large-v3-turbo-CAENNAIS_GB_E1