qazshaha/whisper-small-hi

Whisper Small Hi - test2

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5060
• Wer: 33.2557

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: 32
• eval_batch_size: 32
• 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	Wer
0.038	4.8780	1000	0.3398	34.6821
0.0017	9.7561	2000	0.4471	33.5478
0.0002	14.6341	3000	0.4917	33.1838
0.0002	19.5122	4000	0.5060	33.2557

Framework versions

• Transformers 4.48.2
• Pytorch 2.2.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0