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lejonck/
whisper-small-ptbr-cv-final2

Name: whisper-small-ptbr-cv-final2
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

generated_from_trainer

lejonck/whisper-small-ptbr-cv-final1

finetune

apache-2.0

endpoints_compatible

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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

lejonck/whisper-small-ptbr-cv-final2

whisper-small-ptbr-cv-final2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lejonck/
whisper-small-ptbr-cv-final2