---
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: Whisper Small ko-Ynormal - syp1229
  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-Ynormal - syp1229

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: 0.3226
- Cer: 7.2687

## 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: 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: 50
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1988        | 0.3   | 100  | 0.3257          | 8.7640 |
| 0.1965        | 0.59  | 200  | 0.3302          | 8.6157 |
| 0.1374        | 0.89  | 300  | 0.3257          | 9.6481 |
| 0.0528        | 1.18  | 400  | 0.3255          | 8.6097 |
| 0.0515        | 1.48  | 500  | 0.3126          | 8.0104 |
| 0.0461        | 1.78  | 600  | 0.3063          | 7.9096 |
| 0.0204        | 2.07  | 700  | 0.3209          | 7.8206 |
| 0.0174        | 2.37  | 800  | 0.3216          | 7.6070 |
| 0.0225        | 2.66  | 900  | 0.3095          | 7.4586 |
| 0.0204        | 2.96  | 1000 | 0.3186          | 8.0342 |
| 0.0048        | 3.25  | 1100 | 0.3188          | 7.6485 |
| 0.0062        | 3.55  | 1200 | 0.3149          | 7.4586 |
| 0.0044        | 3.85  | 1300 | 0.3156          | 7.4527 |
| 0.0076        | 4.14  | 1400 | 0.3182          | 7.1975 |
| 0.004         | 4.44  | 1500 | 0.3211          | 7.1738 |
| 0.0027        | 4.73  | 1600 | 0.3226          | 7.2687 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3