dylanewbie/whisper-large-v2-ft-my_dataset_snr0_owner12_MPSENet-241016v2

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whisper-large-v2-ft-mydatasetsnr0owner12MPSENet-241016v2

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: 0.0019

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: 0.001
• —trainbatchsize: 16
• —evalbatchsize: 16
• —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 4.45.0.dev0
• —Pytorch 2.3.1+cu121
• —Datasets 3.0.0
• —Tokenizers 0.19.1