rick-c831/whisper-small-p0km

Whisper Small P0-KM V2

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

• Loss: 0.8060
• Wer Ortho: 88.2353
• Wer: 52.7273

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: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0020	17.8571	500	0.7053	90.1961	58.9091
0.0000	35.7143	1000	0.8060	88.2353	52.7273

Framework versions

• Transformers 5.12.1
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2