---
base_model: openai/whisper-medium
datasets:
- Marcusxx/CngFSt10sec
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: CngFSt10sec_model
  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. -->

# CngFSt10sec_model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/CngFSt10sec dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0530
- Cer: 20.6694

## 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-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0073        | 8.2645  | 1000 | 0.0529          | 75.3624 |
| 0.0007        | 16.5289 | 2000 | 0.0493          | 21.5972 |
| 0.0002        | 24.7934 | 3000 | 0.0510          | 11.1755 |
| 0.0001        | 33.0579 | 4000 | 0.0522          | 19.4764 |
| 0.0001        | 41.3223 | 5000 | 0.0530          | 20.6694 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1