momo103197/whisper-small-nan

Whisper Small-nan

This model is a fine-tuned version of openai/whisper-small on the Common Voice 15, 16 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7181
• Cer: 29.5966

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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.2916	1.5552	1000	0.6323	31.6827
0.0274	3.1104	2000	0.6579	29.3462
0.0063	4.6656	3000	0.6931	29.0304
0.0018	6.2208	4000	0.7181	29.5966

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0