--- 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: whisper-tiny_child-10k results: [] metrics: - wer - cer --- # whisper-tiny_child-10k This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/child-10k dataset. - eval_loss: 0.015469459816813469 - eval_wer: 1.7832647462277091 - eval_cer: 0.8107546254590812 ## 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