AleksanderObuchowski/whisper-large-v3-turbo-med-pl-lora-r64-enc-dec-lr2e-04-ep5-whisper_bigos_all_fair

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whisper-large-v3-turbo-med-pl-lora-r64-enc-dec-lr2e-04-ep5-whisperbigosall_fair

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: 1.6174
• —Model Preparation Time: 0.0205
• —Wer: 12.6919
• —Cer: 4.3439

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: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 4.57.6
• —Pytorch 2.8.0+cu128
• —Datasets 4.5.0
• —Tokenizers 0.22.2