---
base_model: openai/whisper-medium
datasets:
- Marcusxx/CngFSt3T
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: CngFSt3T_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_model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/CngFSt3T dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0744
- Cer: 6.6985

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0455        | 2.2321  | 1000 | 0.1281          | 22.1217 |
| 0.0061        | 4.4643  | 2000 | 0.0814          | 22.4315 |
| 0.0008        | 6.6964  | 3000 | 0.0802          | 5.5849  |
| 0.0003        | 8.9286  | 4000 | 0.0747          | 6.6650  |
| 0.0001        | 11.1607 | 5000 | 0.0744          | 6.6985  |


### Framework versions

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