---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: SungBeom/whisper-small-ko
datasets:
- audiofolder
model-index:
- name: SungBeom-whisper-small-ko-multiple-bg-v1
  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. -->

[<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/akosmwv4)
# SungBeom-whisper-small-ko-multiple-bg-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: 0.7993

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 6.4591        | 17.2414  | 500  | 0.8053          |
| 6.0259        | 34.4828  | 1000 | 0.8035          |
| 5.7577        | 51.7241  | 1500 | 0.8015          |
| 5.5694        | 68.9655  | 2000 | 0.7999          |
| 5.4494        | 86.2069  | 2500 | 0.7987          |
| 5.3702        | 103.4483 | 3000 | 0.7979          |
| 5.3229        | 120.6897 | 3500 | 0.7980          |
| 5.2742        | 137.9310 | 4000 | 0.7983          |
| 5.249         | 155.1724 | 4500 | 0.7990          |
| 5.2499        | 172.4138 | 5000 | 0.7993          |


### Framework versions

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