dianavdavidson/wav2vec2-large-xlsr-53-vaani-61994-normalized-alldata-1e-4-steps-12000-FT

<!-- 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. -->

wav2vec2-large-xlsr-53-vaani-61994-normalized-alldata-1e-4-steps-12000-FT

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2637
• —Global Wer: 15.6062

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_steps: 500
• —training_steps: 12000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.13.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.22.2