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nptel-asr-phoneme
MihirRPatil/nptel-asr-phoneme
nptel-asr-phoneme is a machine learning model from MihirRPatil. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 6, 2026
- Updated
- Apr 7, 2026
- SHA
- ad8ad8e9
Model card
From the Hugging Face model README
<!-- 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. -->
nptel-asr-phoneme
This model was trained from scratch on an unknown dataset.
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
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 20000
Training results
Framework versions
- Transformers 5.5.0
- Pytorch 2.4.0+cu118
- Datasets 4.8.4
- Tokenizers 0.22.2
- Library
- transformers
- Type
- wav2vec2
- Created
- Apr 6, 2026
- Updated
- Apr 7, 2026