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nptel-asr-phoneme-v3
MihirRPatil/nptel-asr-phoneme-v3
nptel-asr-phoneme-v3 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
- Jun 19, 2026
- Updated
- Jun 21, 2026
- SHA
- 91341c7c
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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-v3
This model is a fine-tuned version of on the None 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3000
- training_steps: 50000
Training results
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.1+cu130
- Datasets 2.18.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- wav2vec2
- Created
- Jun 19, 2026
- Updated
- Jun 21, 2026