---
language:
- km
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- openslr
metrics:
- wer
model-index:
- name: Whisper Large Khmer - Kak Soky
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: SLR42
      type: openslr
      args: 'config: km, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 29.51830443159923
---

<!-- 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 Large Khmer - Kak Soky

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the SLR42 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2375
- Wer: 29.5183

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0102        | 12.34 | 1000 | 0.2228          | 38.2659 |
| 0.0003        | 24.69 | 2000 | 0.2260          | 30.7900 |
| 0.0001        | 37.04 | 3000 | 0.2310          | 30.0578 |
| 0.0           | 49.38 | 4000 | 0.2375          | 29.5183 |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.9.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1