---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-ko-1195h
  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. -->

# whisper-medium-ko-1195h

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1552
- Wer: 8.6411

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 59151
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0782        | 0.33  | 6572  | 0.1833          | 10.9268 |
| 0.07          | 0.67  | 13144 | 0.1680          | 10.3611 |
| 0.0605        | 1.0   | 19716 | 0.1600          | 9.9357  |
| 0.0345        | 1.33  | 26288 | 0.1573          | 9.4492  |
| 0.0365        | 1.67  | 32860 | 0.1518          | 9.3395  |
| 0.0339        | 2.0   | 39432 | 0.1478          | 8.9811  |
| 0.0176        | 2.33  | 46004 | 0.1596          | 9.1702  |
| 0.0159        | 2.67  | 52576 | 0.1572          | 8.6746  |
| 0.0141        | 3.0   | 59148 | 0.1552          | 8.6411  |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2