Erenosxx/whisper-turbo-tr_All_datasets_finetune_2
05
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whisper-turbo-trAlldatasetsfinetune2
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1624
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
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 3
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.0.0
- Tokenizers 0.21.1