---
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- aihub_elder
model-index:
- name: whisper-small-ko-EYspeed
  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. -->

# whisper-small-ko-EYspeed

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub Y dialogue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2135
- Cer: 4.8893

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3381        | 0.3   | 100  | 0.2442          | 6.2244 |
| 0.3013        | 0.59  | 200  | 0.2311          | 6.2481 |
| 0.2723        | 0.89  | 300  | 0.2248          | 6.2007 |
| 0.1081        | 1.19  | 400  | 0.2230          | 6.0108 |
| 0.1041        | 1.48  | 500  | 0.2195          | 5.8684 |
| 0.0897        | 1.78  | 600  | 0.2099          | 5.3047 |
| 0.0341        | 2.07  | 700  | 0.2051          | 5.3522 |
| 0.0366        | 2.37  | 800  | 0.2091          | 4.6995 |
| 0.0339        | 2.67  | 900  | 0.2096          | 5.2454 |
| 0.0332        | 2.96  | 1000 | 0.2048          | 5.3284 |
| 0.0128        | 3.26  | 1100 | 0.2150          | 4.9665 |
| 0.0107        | 3.56  | 1200 | 0.2154          | 4.9902 |
| 0.0112        | 3.85  | 1300 | 0.2122          | 5.0199 |
| 0.006         | 4.15  | 1400 | 0.2109          | 6.8415 |
| 0.0044        | 4.44  | 1500 | 0.2118          | 5.5776 |
| 0.0037        | 4.74  | 1600 | 0.2135          | 4.8893 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3