whisper-small-finetuned

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: 5.0878
• eval_wer: 128.125
• eval_runtime: 27.4776
• eval_samples_per_second: 0.728
• eval_steps_per_second: 0.036
• epoch: 33.01
• step: 100

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: 96
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.9.0
• Transformers 4.39.2
• Pytorch 2.2.2+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2