conevonce/whisper-small-id3

Whisper Small id - convonce

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3414
• Wer: 17.3697

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• 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
0.2139	1.9231	1000	0.2519	17.5089
0.0278	3.8462	2000	0.2925	17.9359
0.0052	5.7692	3000	0.3140	17.5043
0.0017	7.6923	4000	0.3356	17.4857
0.0013	9.6154	5000	0.3414	17.3697

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu121
• Datasets 3.3.0
• Tokenizers 0.21.0