---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Large Korean/English
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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:
- Loss: 0.8019
- Wer: 198.2263

## 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: 773
- training_steps: 7728
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5546        | 1.0   | 773  | 0.5308          | 240.1463 |
| 0.3284        | 2.0   | 1546 | 0.5160          | 133.6395 |
| 0.176         | 3.0   | 2319 | 0.5582          | 264.5033 |
| 0.0977        | 4.0   | 3092 | 0.6110          | 155.6417 |
| 0.065         | 5.0   | 3865 | 0.6577          | 194.4118 |
| 0.0298        | 6.0   | 4638 | 0.7021          | 235.0691 |
| 0.0109        | 7.0   | 5411 | 0.7408          | 158.8282 |
| 0.0069        | 8.0   | 6184 | 0.7550          | 201.9574 |
| 0.0057        | 9.0   | 6957 | 0.8019          | 198.2263 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.17.0
- Tokenizers 0.15.2