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# Whisper Large Korean/English

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper Large Korean/English", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-large-v3 license:apache-2.0 endpoints_compatible region:us