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whisper-large-v3-hindi
meg51/whisper-large-v3-hindi
whisper-large-v3-hindi is a machine learning model from meg51. 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 24, 2024
- Updated
- Sep 7, 2024
- SHA
- 52496676
Base models
Datasets
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 Large-v3 Hindi -megha sharma
This model is a fine-tuned version of openai/whisper-large-v3 on the Google Fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 0.1607
- Wer: 18.4303
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1781 | 6.7797 | 2000 | 0.1785 | 21.1734 |
| 0.1519 | 13.5593 | 4000 | 0.1621 | 19.2405 |
| 0.1286 | 20.3390 | 6000 | 0.1577 | 18.7427 |
| 0.1259 | 27.1186 | 8000 | 0.1564 | 18.2058 |
| 0.111 | 33.8983 | 10000 | 0.1568 | 17.9032 |
| 0.1067 | 40.6780 | 12000 | 0.1582 | 17.8153 |
| 0.1034 | 47.4576 | 14000 | 0.1591 | 18.8403 |
| 0.0995 | 54.2373 | 16000 | 0.1603 | 18.8598 |
| 0.0929 | 61.0169 | 18000 | 0.1607 | 18.4303 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Languages
- hi
- Created
- May 24, 2024
- Updated
- Sep 7, 2024