transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:audiofolder base_model:openai/whisper-small license:apache-2.0 model-index endpoints_compatible region:us
---
language:
- ko
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
model-index:
- name: whisper-SE-00
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: whisper-SE-00
      type: audiofolder
      config: default
      split: train
      args: 'config: ko, split: valid'
    metrics:
    - name: Wer
      type: wer
      value: 0.0
---

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# whisper-SE-00

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-SE-00 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0
- Cer: 0.0

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
| 6.2305        | 0.83  | 10   | 5.1889          | 0.0 | 0.0 |
| 1.1143        | 1.67  | 20   | 0.2985          | 0.0 | 0.0 |
| 0.1005        | 2.5   | 30   | 0.0079          | 0.0 | 0.0 |
| 0.0022        | 3.33  | 40   | 0.0001          | 0.0 | 0.0 |
| 0.0001        | 4.17  | 50   | 0.0000          | 0.0 | 0.0 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
