---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-korr
  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-small-korr

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3466
- Wer: 19.9610

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3119        | 0.69  | 100  | 0.3334          | 20.6884 |
| 0.1223        | 1.39  | 200  | 0.3179          | 21.4336 |
| 0.0757        | 2.08  | 300  | 0.3234          | 20.3158 |
| 0.0349        | 2.77  | 400  | 0.3329          | 20.8481 |
| 0.0172        | 3.47  | 500  | 0.3354          | 20.1916 |
| 0.0059        | 4.16  | 600  | 0.3357          | 19.7480 |
| 0.0057        | 4.85  | 700  | 0.3396          | 19.9965 |
| 0.0046        | 5.55  | 800  | 0.3417          | 19.7658 |
| 0.0025        | 6.24  | 900  | 0.3461          | 20.0497 |
| 0.0029        | 6.93  | 1000 | 0.3466          | 19.9610 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3