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library_name: transformers
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pipeline_tag: automatic-speech-recognition tags:
- whisper
- automatic-speech-recognition
- seq2seq-lm
language: - kh license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer datasets: - seanghay/khmer_mpwt_speech model-index: - name: Whisper Small kh Ravy results: []
Whisper Small kh Ravy
This model is a fine-tuned version of openai/whisper-small on the seanghay/khmer_mpwt_speech 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 100
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.15.2
- Downloads last month
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