aadel4/kid-whisper-small-myst_cslu

openai/whisper-small-en

This model is a fine-tuned version of openai/whisper-small-en on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.21313807368278503
• —Wer: 8.312998407517968

Training and evaluation data

Training data: Myst Train (125 hours) + CSLU Scripted train (35 hours) Evaluation data: Myst Dev (20.9 hours) + CSLU Scripted Dev(4.8)

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 10000
• —converged_after: 1500