---
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-no-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/ch19265q)
# SungBeom-whisper-small-ko-no-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: 0.2086

## 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 |
|:-------------:|:---------:|:----:|:---------------:|
| 6.4362        | 142.8571  | 500  | 0.1993          |
| 6.0024        | 285.7143  | 1000 | 0.2035          |
| 5.6884        | 428.5714  | 1500 | 0.2067          |
| 5.5198        | 571.4286  | 2000 | 0.2086          |
| 5.3977        | 714.2857  | 2500 | 0.2095          |
| 5.3111        | 857.1429  | 3000 | 0.2094          |
| 5.2526        | 1000.0    | 3500 | 0.2091          |
| 5.2176        | 1142.8571 | 4000 | 0.2087          |
| 5.1912        | 1285.7143 | 4500 | 0.2086          |
| 5.1898        | 1428.5714 | 5000 | 0.2086          |


### Framework versions

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