whisper-small-bungoma.en

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

• eval_loss: nan
• eval_wer: 100.0
• eval_runtime: 952.3047
• eval_samples_per_second: 0.4
• eval_steps_per_second: 0.05
• epoch: 1.38
• step: 250

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• training_steps: 1000

Framework versions

• Transformers 4.39.1
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.2