This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_13_0 pt dataset. It achieves the following results on the evaluation set:

Loss: 0.2428
Wer: 10.2520

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-06
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1957	3.52	1000	0.2442	10.5938
0.1297	7.04	2000	0.2378	10.2849
0.0998	10.56	3000	0.2428	10.2520
0.0742	14.08	4000	0.2489	10.4015
0.0738	17.61	5000	0.2528	10.4147

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.15.1

zuazo/whisper-small-pt

Whisper Small Portuguese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zuazo/
whisper-small-pt