enakilci/whisper-large-v3-fi-800steps-8batch-2grad_steps-5e-05lr-poly

Whisper Large v3 Fine-Tuned Finnish

<!-- Provide a quick summary of what the model is/does. --> This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.249
• —Wer: 23.366

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: polynomial
• —lrschedulerkwargs = { 'lr_end': 1e-05 }
• —training_steps: 800
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.37.0.dev0
• —Pytorch 2.0.1
• —Datasets 2.16.1
• —Tokenizers 0.15.0