Whisper Large Korean/English
This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1397
- eval_wer: 8.2666
- eval_runtime: 6120.463
- eval_samples_per_second: 0.827
- eval_steps_per_second: 0.103
- epoch: 6.0
- step: 7590
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1265
- training_steps: 12650
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for gcasey2/whisper-large-v3-ko-en-v2
Base model
openai/whisper-large-v3