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Whisper Small ko - dup8888

This model is a fine-tuned version of openai/whisper-small on the KSS_Dataset dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6954
• eval_cer: 214.7267
• eval_runtime: 939.4252
• eval_samples_per_second: 1.066
• eval_steps_per_second: 0.134
• epoch: 2.0
• step: 1000

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: 16
• eval_batch_size: 8
• 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: 4000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1