library_name, language, license, base_model, tags, datasets, metrics, model-index

library_name	language	license	base_model	tags	datasets	metrics	model-index
transformers	it	apache-2.0	openai/whisper-small	generated_from_trainer	mozilla-foundation/common_voice_4_0	wer	name results whisper-small-italian-tuned task dataset metrics name type Automatic Speech Recognition automatic-speech-recognition name type config split args Common Voice 4.0 mozilla-foundation/common_voice_4_0 it test config: it, split: test name type value Wer wer 20.230225666742648

whisper-small-italian-tuned

This model is a fine-tuned version of openai/whisper-small on the Common Voice 4.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2653
• Wer: 20.2302

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2668	0.5647	1000	0.3023	22.8539
0.1314	1.1293	2000	0.2735	20.6998
0.118	1.6940	3000	0.2648	20.4263
0.0644	2.2586	4000	0.2653	20.2302

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu121
• Datasets 2.21.0
• Tokenizers 0.20.3