CoolFace
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dianavdavidson/mms-1b-all-indic_voices-60113-hinglish_mixed_scripts-30_70-1e-4-hin-steps-10000-FT

sourceHugging Facecc-by-nc-4.0updated 2mo agoView on Hugging Face
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Model Card

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mms-1b-all-indicvoices-60113-hinglishmixedscripts-3070-1e-4-hin-steps-10000-FT

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.9179
  • —Global Wer: 52.7212

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: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: constantwithwarmup
  • —lrschedulerwarmup_steps: 1000
  • —training_steps: 10000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossGlobal Wer
27.31501.157510003.378097.6429
11.52282.314920002.210484.6820
8.60033.472430001.644772.6845
7.33224.629840001.438365.9689
6.61305.787350001.322461.5817
6.16226.944760001.232759.9644
5.76098.101970001.085058.2497
5.29259.259380000.997855.0955
5.089610.416890000.952453.7363
4.847611.5742100000.917952.7212

Framework versions

  • —Transformers 5.0.0.dev0
  • —Pytorch 2.9.0+cu126
  • —Datasets 3.6.0
  • —Tokenizers 0.22.2