dianavdavidson/indicwav2vec-hindi-mucs-62256-hinglish_mixed_scripts-0_25-1e-4-epochs-100-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. -->

indicwav2vec-hindi-mucs-62256-hinglishmixedscripts-0_25-1e-4-epochs-100-FT

This model is a fine-tuned version of ai4bharat/indicwav2vec-hindi on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.7333
• —Global Wer: 99.0009

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: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_steps: 500
• —num_epochs: 100
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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