dylanewbie/whisper-large-v2-ft-cv16-1__my_dataset_car50_owner12_notmix_copy8x_mp3-241114-v1

<!-- 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-v2-ft-cv16-1_mydatasetcar50owner12notmixcopy8x_mp3-241114-v1

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1018

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: 128
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.2
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.13.0
• —Transformers 4.45.1
• —Pytorch 2.5.0+cu124
• —Datasets 3.0.1
• —Tokenizers 0.20.0