Whisper Small Hi - Sanchit Gandhi

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:

• eval_loss: 0.1456
• eval_cer: 0.0426
• eval_runtime: 2429.755
• eval_samples_per_second: 3.947
• eval_steps_per_second: 0.049
• step: 0

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: 80
• eval_batch_size: 80
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 0

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 3.2.0
• Tokenizers 0.13.3