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

Loss: 0.1753
Wer: 6.3319

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: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0999	3.52	1000	0.1753	6.3319
0.0436	7.04	2000	0.2027	6.5521
0.0113	10.56	3000	0.3135	6.7361
0.0041	14.08	4000	0.3616	6.8889
0.0026	17.61	5000	0.3908	7.0565
0.0016	21.13	6000	0.4078	7.1419
0.0013	24.65	7000	0.4227	7.1534
0.001	28.17	8000	0.4343	7.1764
0.0008	31.69	9000	0.4424	7.2076
0.0008	35.21	10000	0.4464	7.2224

Framework versions

Transformers 4.37.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.15.1

zuazo/whisper-medium-pt

Whisper Medium Portuguese

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zuazo/
whisper-medium-pt