AleksanderObuchowski/whisper-large-v3-turbo-med-pl-lora-r16-decoder-only-lr5e-05-ep3-whisper_bigos20k_fair

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

whisper-large-v3-turbo-med-pl-lora-r16-decoder-only-lr5e-05-ep3-whisperbigos20kfair

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: 1.6537
• —Model Preparation Time: 0.0117
• —Wer: 14.7782
• —Cer: 4.6285
• —Content Wer: 8.9107

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: 5e-05
• —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: 3
• —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