---
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DianaJin/logi
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-medium](https://huggingface.co/openai/whisper-medium) on the DianaJin/logi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2265
- 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: 32
- eval_batch_size: 16
- 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer   |
|:-------------:|:------:|:----:|:---------------:|:-----:|
| 0.0004        | 250.0  | 500  | 2.3248          | 100.0 |
| 0.0002        | 500.0  | 1000 | 2.3827          | 100.0 |
| 0.0002        | 750.0  | 1500 | 2.9600          | 100.0 |
| 0.0002        | 1000.0 | 2000 | 3.2265          | 100.0 |


### Framework versions

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