whisper-tiny-minds14-en-US

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whisper-tiny-minds14-en

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 0.6170

Wer Ortho: 0.3880

Wer: 0.3512

• eval_loss: 0.6170
• eval_wer_ortho: 0.3880
• eval_wer: 0.3512
• eval_runtime: 22.3269
• eval_samples_per_second: 5.061
• eval_steps_per_second: 0.358
• epoch: 8.93
• 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: 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: 50
• training_steps: 500

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3