---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: SungBeom/whisper-small-ko
datasets:
- audiofolder
model-index:
- name: custom-whiper-small-you-v1
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/xpertinc/huggingface/runs/ojh74efa)
# custom-whiper-small-you-v1

This model is a fine-tuned version of [SungBeom/whisper-small-ko](https://huggingface.co/SungBeom/whisper-small-ko) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0737

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 1500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.3391        | 125.0 | 500  | 2.1300          |
| 4.9716        | 250.0 | 1000 | 2.0881          |
| 4.8699        | 375.0 | 1500 | 2.0737          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1