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whisper-tiny_child-10k-adult-6k

This model is a fine-tuned version of openai/whisper-tiny on the haseong8012/child-10k and the jiwon65/aihub_general_6000_for_test datasets.

• eval_loss: 0.04355376213788986
• eval_wer: 5.4239569313593545
• eval_cer: 2.786972334600139

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