---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DianaJin/miniproject_train
- DianaJin/miniproject_test
model-index:
- name: jinkrsmodel
  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. -->

# jinkrsmodel

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ./whisper-mideum-kr dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7864
- Cer: 100.0

## 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: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7143        | 50.0  | 100  | 4.6669          | 294.9367 |
| 0.0018        | 100.0 | 200  | 5.2253          | 100.0    |
| 0.0008        | 150.0 | 300  | 5.4916          | 100.0    |
| 0.0005        | 200.0 | 400  | 5.7864          | 100.0    |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0