This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 it dataset. It achieves the following results on the evaluation set:

Loss: 0.2534
Wer: 12.3040

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: 8e-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: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2737	2.01	1000	0.2728	13.4097
0.1536	4.02	2000	0.2611	12.9897
0.0905	6.03	3000	0.2686	12.9273
0.1301	8.04	4000	0.2534	12.3040
0.096	10.05	5000	0.2727	12.6130
0.0604	12.06	6000	0.2698	12.5027

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

nefasto/whisper-small-it

Whisper Small Italian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nefasto/
whisper-small-it