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whisper-indian-lora
purvansh01/whisper-indian-lora
whisper-indian-lora is a machine learning model from purvansh01. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 8, 2026
- Updated
- May 9, 2026
- SHA
- f8082a2a
Base models
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. -->
whisper-indian-lora
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0965
- Wer: 27.2815
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- 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: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2753 | 0.9615 | 200 | 0.2702 | 22.9468 |
| 0.2379 | 1.9231 | 400 | 0.2266 | 25.8742 |
| 0.2321 | 2.8846 | 600 | 0.1956 | 27.9838 |
| 0.1932 | 3.8462 | 800 | 0.1700 | 22.5696 |
| 0.1724 | 4.8077 | 1000 | 0.1499 | 19.2853 |
| 0.1561 | 5.7692 | 1200 | 0.1316 | 32.9904 |
| 0.133 | 6.7308 | 1400 | 0.1191 | 25.8352 |
| 0.1117 | 7.6923 | 1600 | 0.1066 | 27.2093 |
| 0.102 | 8.6538 | 1800 | 0.1000 | 26.7368 |
| 0.1078 | 9.6154 | 2000 | 0.0965 | 27.2815 |
Framework versions
- PEFT 0.18.1
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- May 8, 2026
- Updated
- May 9, 2026