whisper-small-ptbr-cv-final2

This model is a fine-tuned version of lejonck/whisper-small-ptbr-cv-final1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5542
• Wer: 0.3751
• Cer: 0.5790

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 8
• eval_batch_size: 2
• 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: 100
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.351	1.0	375	0.3592	0.3804	0.5755
0.0842	2.0	750	0.3901	0.3857	0.5761
0.0366	3.0	1125	0.4186	0.3768	0.5775
0.0186	4.0	1500	0.4657	0.3880	0.5842
0.0109	5.0	1875	0.5108	0.3810	0.5788
0.0026	6.0	2250	0.5285	0.3827	0.5823
0.0009	7.0	2625	0.5498	0.3792	0.5786
0.0007	8.0	3000	0.5474	0.3733	0.5777
0.0006	9.0	3375	0.5659	0.3739	0.5793
0.0005	10.0	3750	0.5588	0.3792	0.5812
0.0005	11.0	4125	0.5657	0.3786	0.5794
0.0005	12.0	4500	0.5700	0.3768	0.5794

Framework versions

• Transformers 4.55.0
• Pytorch 2.7.0+cu126
• Datasets 2.19.1
• Tokenizers 0.21.4