learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 6
seed: 3407
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 5000

Training Loss	Epoch	Step	Validation Loss	Wer
0.0594	31.25	500	0.7913	99.4516
0.0002	62.5	1000	0.7987	99.4516
0.0002	93.75	1500	0.8020	41.0116
0.0001	125.0	2000	0.8071	35.1005
0.0001	156.25	2500	0.8105	35.3443
0.0001	187.5	3000	0.8122	34.9787
0.0001	218.75	3500	0.8153	35.1615
0.0001	250.0	4000	0.8154	34.6130
0.0001	281.25	4500	0.8162	34.9787
0.0001	312.5	5000	0.8172	34.6740

StephaneBah/whisper-small-rad-fr1.1

Whisper Small Fr - Radiologie1.1