whisper-medium.en-kor_eng_medium_ed_lc

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 9.0066
• Cer: 92.8412

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: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
No log	1.0	8	10.8570	92.8412
No log	2.0	16	10.6620	92.8412
No log	3.0	24	10.2690	92.8412
No log	4.0	32	9.6753	92.8412
No log	5.0	40	9.0066	92.8412

Framework versions

• Transformers 4.51.0
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1