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# Whisper Tiny KM - KenLee

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the khmer-speech-large dataset.

## 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: 500
- training_steps: 4000

### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"language": ["km"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["seanghay/khmer-speech-large"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny KM - KenLee", "results": []}]}
transformers pytorch whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer km dataset:seanghay/khmer-speech-large base_model:openai/whisper-tiny license:apache-2.0 endpoints_compatible region:us