transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer dataset:audiofolder base_model:shangrilar/techvillage_korean endpoints_compatible region:us
---
base_model: shangrilar/techvillage_korean
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: whisper-small-ko-med
  results: []
---

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# whisper-small-ko-med

This model is a fine-tuned version of [shangrilar/techvillage_korean](https://huggingface.co/shangrilar/techvillage_korean) on the audiofolder 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: 32
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
