---
language:
- ko
license: apache-2.0
base_model: openai/whisper-large
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- gingercake01/240527STT_audio_noise_2930samples
model-index:
- name: largeWhisper_finetuned_with_noise
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# largeWhisper_finetuned_with_noise

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the 240527STT_audio_noise_2930samples dataset.

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1