shull/whisper-small-finetuned-v5en

<!-- 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 small v5-en finetuned

This model is a fine-tuned version of openai/whisper-small on the myaudiodataset dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1560
• —Wer: 5.6915

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 300
• —training_steps: 3000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1