whisper-small-sw-demo

This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.1733
• eval_wer: 108.9701
• eval_runtime: 44.8199
• eval_samples_per_second: 0.647
• eval_steps_per_second: 0.045
• epoch: 30.0
• step: 60

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 10
• training_steps: 60
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.13.0
• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1