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whisper-medium-hi-ta
Singhamarjeet8130/whisper-medium-hi-ta
whisper-medium-hi-ta is a automatic speech recognition model from Singhamarjeet8130. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 9, 2024
- Updated
- Dec 10, 2024
- SHA
- 26f5dc76
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 Medium Hi ta - Amarjeet
This model is a fine-tuned version of Singhamarjeet8130/whisper-medium-hi on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1794
- Wer: 37.3848
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.133 | 0.2894 | 1000 | 0.2347 | 45.2937 |
| 0.1146 | 0.5787 | 2000 | 0.2040 | 41.4025 |
| 0.099 | 0.8681 | 3000 | 0.1835 | 38.8261 |
| 0.0652 | 1.1574 | 4000 | 0.1794 | 37.3848 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ta
- Created
- Dec 9, 2024
- Updated
- Dec 10, 2024