uppa1234/whisper-qlora-medium-regional
04
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whisper-th-medium-regional-q4-r4-e1
This model is a fine-tuned version of biodatlab/whisper-th-medium-combined on the Thai regional 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: 0.0003
- trainbatchsize: 16
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: constantwithwarmup
- lrschedulerwarmup_steps: 500
- num_epochs: 1
- mixedprecisiontraining: Native AMP
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1