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---
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 |