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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-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 |