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

Loss: 0.4464
Wer: 19.7639

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: 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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.047	4.04	1000	0.3386	21.7425
0.0043	9.03	2000	0.3903	20.1770
0.0011	14.02	3000	0.4209	19.7801
0.0008	19.02	4000	0.4381	20.0170
0.0006	24.01	5000	0.4464	19.7639

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

zuazo/whisper-small-eu-from-es

Whisper Small Basque

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zuazo/
whisper-small-eu-from-es