---
base_model: openai/whisper-medium
datasets:
- aihub.or.kr
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: new_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. -->

# new_model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the telephone dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3286
- Cer: 4.9724

## 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: 4
- 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: 4000

### Training results

| Training Loss | Epoch     | Step | Validation Loss | Cer    |
|:-------------:|:---------:|:----:|:---------------:|:------:|
| 0.0           | 333.3333  | 1000 | 0.2826          | 3.8674 |
| 0.0           | 666.6667  | 2000 | 0.3079          | 4.9724 |
| 0.0           | 1000.0    | 3000 | 0.3227          | 4.9724 |
| 0.0           | 1333.3333 | 4000 | 0.3286          | 4.9724 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1