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

Loss: 0.5191
Wer: 28.9653

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: 256
eval_batch_size: 128
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
0.4763	14.08	1000	0.5686	31.3114
0.3784	28.17	2000	0.5350	30.0693
0.3286	42.25	3000	0.5239	29.2413
0.3073	56.34	4000	0.5200	29.4138
0.2971	70.42	5000	0.5191	28.9653

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.15.1

zuazo/whisper-tiny-pt

Whisper Tiny Portuguese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zuazo/
whisper-tiny-pt