---
language:
- hi
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: Whisper Small ko-elder70 - 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-elder70 - syp1229

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub elder over 70 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1961
- Cer: 4.5511

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2246        | 0.3   | 100  | 0.2532          | 6.3965 |
| 0.213         | 0.59  | 200  | 0.2291          | 6.2897 |
| 0.1986        | 0.89  | 300  | 0.2037          | 5.5361 |
| 0.0683        | 1.18  | 400  | 0.1912          | 4.7410 |
| 0.0691        | 1.48  | 500  | 0.1967          | 5.0139 |
| 0.0782        | 1.78  | 600  | 0.1999          | 5.0555 |
| 0.0219        | 2.07  | 700  | 0.1907          | 4.9843 |
| 0.0193        | 2.37  | 800  | 0.1918          | 4.5986 |
| 0.0283        | 2.66  | 900  | 0.1966          | 4.8003 |
| 0.0163        | 2.96  | 1000 | 0.1904          | 4.4740 |
| 0.0083        | 3.25  | 1100 | 0.1958          | 4.3909 |
| 0.0039        | 3.55  | 1200 | 0.1983          | 4.4562 |
| 0.0043        | 3.85  | 1300 | 0.1944          | 4.4858 |
| 0.0029        | 4.14  | 1400 | 0.1941          | 4.4384 |
| 0.0027        | 4.44  | 1500 | 0.1981          | 4.5571 |
| 0.003         | 4.73  | 1600 | 0.1961          | 4.5511 |


### Framework versions

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