---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- Marcusxx/CngFSt3T
model-index:
- name: CngFSt3T_small_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. -->

# CngFSt3T_small_model

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Marcusxx/CngFSt3T dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0723
- Cer: 135.0080

## 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: 250
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.0452        | 2.2321  | 1000 | 0.1419          | 74.5039  |
| 0.0061        | 4.4643  | 2000 | 0.0770          | 130.8381 |
| 0.0006        | 6.6964  | 3000 | 0.0710          | 118.6804 |
| 0.0003        | 8.9286  | 4000 | 0.0722          | 121.9459 |
| 0.0003        | 11.1607 | 5000 | 0.0723          | 135.0080 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1