dianavdavidson/mms-1b-all-indic_voices-60199-hinglish_mixed_scripts-15_100-1e-4-hin-steps-10000-FT
012
<!-- 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. -->
mms-1b-all-indicvoices-60199-hinglishmixedscripts-15100-1e-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: 0.6885
- Global Wer: 39.5266
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: 32
- seed: 42
- 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
Framework versions
- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.2
