README.md

metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - haseong8012/child-10k
model-index:
  - name: checkPoints/whisper-tiny_child-10k_time-stretch
    results: []
metrics:
  - wer
  - cer

checkPoints/whisper-tiny_child-10k_time-stretch

This model is a fine-tuned version of openai/whisper-tiny on the child-10k dataset.

• eval_loss: 0.015001855790615082,
• eval_cer: 0.7553184117524773,
• eval_wer: 1.6003657978966621,

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: 3.75e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.5
• Tokenizers 0.14.1