---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DianaJin/sample
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 DianaJin/voice dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2017
- Cer: 134.5133

## 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: 5
- training_steps: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 3.33  | 10   | 2.1701          | 13.2743  |
| No log        | 6.67  | 20   | 1.3824          | 55.3097  |
| 1.7663        | 10.0  | 30   | 1.2305          | 164.1593 |
| 1.7663        | 13.33 | 40   | 1.2017          | 134.5133 |


### Framework versions

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