|
--- |
|
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 |
